appendix 1 table 4.2 the realibility computation using

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Appendix 1 Table 4.2 The Realibility Computation Using SPSS Calcilation Case Processing Summary N % Cases Valid 24 100.0 Excluded a 0 .0 Total 24 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items .768 50

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Appendix 1

Table 4.2

The Realibility Computation Using SPSS Calcilation

Case Processing Summary

N %

Cases

Valid 24 100.0

Excludeda 0 .0

Total 24 100.0

a. Listwise deletion based on all variables in

the procedure.

Reliability Statistics

Cronbach's

Alpha

N of Items

.768 50

Appendix 2 Table 4.3

Pre-test Score of Experimental Class and Control Class

Experimental Class Control Class

No Students Score No Students Score

1 AI-1 70 1 AI-1 75

2 AI-2 75 2 AI-2 70

3 AI-3 75 3 AI-3 70

4 AI-4 75 4 AI-4 65

5 AI-5 80 5 AI-5 70

6 AI-6 65 6 AI-6 55

7 AI-7 60 7 AI-7 60

8 AI-8 75 8 AI-8 75

9 AI-9 75 9 AI-9 75

10 AI-10 70 10 AI-10 65

11 AI-11 80 11 AI-11 75

12 AI-12 85 12 AI-12 75

13 AI-13 80 13 AI-13 70

14 AI-14 75 14 AI-14 60

15 AI-15 80 15 AI-15 75

16 AI-16 80 16 AI-16 80

17 AI-17 80 17 AI-17 85

18 AI-18 75 18 AI-18 70

19 AI-19 55 19 AI-19 55

20 AI-20 80 20 AI-20 80

21 AI-21 75 21 AI-21 75

22 AI-22 75 22 AI-22 65

23 AI-23 70 23 AI-23 70

24 AI-24 75 24 AI-24 70

∑ 1785 ∑ 1685

Mean 74.37 Mean 70.20

Appendix 3

The T-test of Pre-test Score in the Experimental Group and control

Table 4.4

Group Statistics

VAR0000

2

N Mean Std.

Deviation

Std. Error

Mean

EXPERIMENT

1.00 24 74.3750 6.80673 1.38942

2.00 24 70.2083 7.58706 1.54870

Independent Samples Test

Levene's Test for

Equality of

Variances

t-test for Equality of Means

F Sig. T Df Sig.

(2-

tailed)

Mean

Differe

nce

Std.

Error

Differen

ce

95% Confidence

Interval of the

Difference

Lower Upper

EXPE

RIME

NT

Equal

variances

assumed

.477 .493 2.003 46 .051 4.1666

7

2.08061

-

.02139

8.35473

Equal

variances not

assumed

2.003 45.469 .051 4.1666

7

2.08061

-

.02271

8.35605

Appendix 4

Table 4.5 Post-test Score of Experimental Class and Control Class

Experimental Class Control Class

N

o Students Score

N

o Students Score

1 AI-1 80 1 AI-1 75

2 AI-2 80 2 AI-2 65

3 AI-3 80 3 AI-3 60

4 AI-4 75 4 AI-4 65

5 AI-5 85 5 AI-5 70

6 AI-6 90 6 AI-6 85

7 AI-7 85 7 AI-7 75

8 AI-8 85 8 AI-8 75

9 AI-9 85 9 AI-9 80

10 AI-10 85 10 AI-10 85

11 AI-11 90 11 AI-11 85

12 AI-12 85 12 AI-12 75

13 AI-13 80 13 AI-13 65

14 AI-14 85 14 AI-14 80

15 AI-15 80 15 AI-15 75

16 AI-16 80 16 AI-16 75

17 AI-17 85 17 AI-17 80

18 AI-18 80 18 AI-18 70

19 AI-19 80 19 AI-19 85

20 AI-20 85 20 AI-20 85

21 AI-21 85 21 AI-21 75

22 AI-22 80 22 AI-22 75

23 AI-23 85 23 AI-23 70

24 A1-24 75 24 AI-24 60

∑ 1985 ∑ 1790

Mean 82.70 Mean 74.58

Appendix 5

The T-test of Post-test Score in the Experimental Group and control class.

Table 4.6

Group Statistics

VAR0000

2

N Mean Std.

Deviation

Std. Error

Mean

EXPERIME

NT

1.00 24 82.7083 3.89514 .79509

2.00 24 74.5833 7.79028 1.59018

Independent Samples Test

Levene's Test

for Equality

of Variances

t-test for Equality of Means

F Sig. t df Sig.

(2-

tailed)

Mean

Differenc

e

Std.

Error

Differenc

e

95% Confidence Interval

of the Difference

Lower Upper

EXPE

RIME

NT

Equal

variances

assumed

6.233 .016 4.570 46 .000 8.12500 1.77788 4.54631 11.70369

Equal

variances not

assumed

4.570 33.824 .000 8.12500 1.77788 4.51122 11.73878

Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38

Q1 Pearson Correlation

1 -.147 -.107 -.043 .295 -.093 .406* .552

*

*

.406* .295 -.162 .361 .552

*

*

.162 .466* .466

* -.043 .269 -.227 .134 .209 -.107 -.134 -.043 .466

* -.176 .269 .466

* -.176 .227 -.162 .209 .325 -.120 -.107 .295 -.192 .192

Sig. (2-tailed)

.492 .619 .840 .162 .665 .049 .005 .049 .162 .451 .083 .005 .451 .022 .022 .840 .203 .287 .533 .328 .619 .533 .840 .022 .410 .203 .022 .410 .287 .451 .328 .121 .575 .619 .162 .369 .369

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q2 Pearson Correlation

-.147 1 -.145 -.147 .063 -.316 .073 .000 -.145 -.125 .000 .000 .000 .548*

*

.158 -.316 -.147 .000 .473* .454

* .000 .508

* .519

*

*

-.147 -.079 -.060 .183 .158 -.060 .414* -.183 .177 .130 .408

* -.145 .063 .237 .118

Sig. (2-tailed)

.492

.499 .492 .772 .132 .736 1.000

.499 .561 1.000

1.000

1.000

.006 .461 .132 .492 1.000

.020 .026 1.000

.011 .009 .492 .713 .781 .393 .461 .781 .044 .393 .409 .546 .048 .499 .772 .266 .582

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q3 Pearson Correlation

-.107 -.145 1 .406* .073 .596

*

*

-.011 .116 .242 .290 -.185 -.059 -.194 -.238 -.229 .596*

*

-.107 .238 -.146 -.122 .308 .242 .122 -.107 .321 -.017 -.185 -.229 .191 .146 .026 -.513

*

-.103 -.059 .242 .073 -.060 -.146

Sig. (2-tailed)

.619 .499

.049 .736 .002 .961 .588 .254 .169 .386 .783 .364 .262 .281 .002 .619 .262 .496 .569 .143 .254 .569 .619 .126 .936 .386 .281 .372 .496 .902 .010 .630 .783 .254 .736 .780 .496

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q4 Pearson Correlation

-.043 -.147 .406* 1 .295 .466

* -.107 -.079 -.107 -.147 -.162 -.120 -.079 -.269 -.093 .466

* -.043 .269 .192 .134 .209 -.107 -.134 -.043 -.093 -.176 .269 -.093 -.176 .227 -.162 -.209 -.134 -.120 -.107 -.147 -.192 -.227

Sig. (2-tailed)

.840 .492 .049

.162 .022 .619 .714 .619 .492 .451 .575 .714 .203 .665 .022 .840 .203 .369 .533 .328 .619 .533 .840 .665 .410 .203 .665 .410 .287 .451 .328 .533 .575 .619 .492 .369 .287

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q5 Pearson Correlation

.295 .063 .073 .295 1 -.079 .508* .535

*

*

.073 .250 -.365 .204 .267 .365 .395 .395 -.147 .365 -.237 .065 .354 .508* -.065 .295 -.079 -.239 .548

*

*

.158 -.239 .414* .000 -.177 .519

*

*

.204 -.145 .063 -.118 .473*

Sig. (2-tailed)

.162 .772 .736 .162

.713 .011 .007 .736 .239 .079 .339 .207 .079 .056 .056 .492 .079 .266 .763 .090 .011 .763 .162 .713 .261 .006 .461 .261 .044 1.000

.409 .009 .339 .499 .772 .582 .020

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q6 Pearson Correlation

-.093 -.316 .596*

*

.466* -.079 1 -.229 -.169 .596

*

*

.395 -.346 .258 -.169 -.577

*

*

-.200 .400 -.093 .115 -.037 .041 .224 -.229 -.041 -.093 .100 .076 -.115 .100 -.151 .037 -.115 -.447

*

-.041 .000 .046 -.079 -.187 -.262

Sig. (2-tailed)

.665 .132 .002 .022 .713

.281 .430 .002 .056 .097 .223 .430 .003 .349 .053 .665 .591 .862 .849 .294 .281 .849 .665 .642 .726 .591 .642 .481 .862 .591 .028 .849 1.000

.831 .713 .382 .217

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q7 Pearson Correlation

.406* .073 -.011 -.107 .508

* -.229 1 .737

*

*

.242 .073 -.185 .415* .427

* .185 .596

*

*

.321 -.107 .026 -.146 -.122 .103 .495* -.103 -.107 .046 -.017 .238 .321 -.017 .352 .238 -.308 .574

*

*

-.059 -.011 .073 -.060 .472*

Sig. (2-tailed)

.049 .736 .961 .619 .011 .281

.000 .254 .736 .386 .044 .038 .386 .002 .126 .619 .902 .496 .569 .633 .014 .630 .619 .831 .936 .262 .126 .936 .092 .262 .143 .003 .783 .961 .736 .780 .020

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q8 Pearson Correlation

.552*

*

.000 .116 -.079 .535*

*

-.169 .737*

*

1 .427* .267 -.293 .364 .619

*

*

.293 .507* .507

* -.079 .228 -.158 -.035 .378 .427

* .035 -.079 .169 -.064 .228 .507

* -.064 .411

* -.033 -.126 .312 .073 .116 .267 -.095 .348

Sig. (2-tailed)

.005 1.000

.588 .714 .007 .430 .000

.038 .207 .165 .081 .001 .165 .011 .011 .714 .285 .461 .872 .069 .038 .872 .714 .430 .767 .285 .011 .767 .046 .880 .557 .138 .736 .588 .207 .659 .096

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q9 Pearson Correlation

.406* -.145 .242 -.107 .073 .596

*

*

.242 .427* 1 .725

*

*

-.397 .652*

*

.427* -.238 .321 .321 -.107 .238 -.146 .103 .308 -.011 .122 -.107 .321 -.017 .026 .596

*

*

-.225 .146 -.185 -.308 .348 .178 -.011 .290 -.266 .060

Sig. (2-tailed)

.049 .499 .254 .619 .736 .002 .254 .038

.000 .055 .001 .038 .262 .126 .126 .619 .262 .496 .630 .143 .961 .569 .619 .126 .936 .902 .002 .289 .496 .386 .143 .096 .406 .961 .169 .209 .780

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q10 Pearson Correlation

.295 -.125 .290 -.147 .250 .395 .073 .267 .725*

*

1 -.183 .408* .267 .000 .158 .158 -.147 .365 -.237 .065 .354 .073 .130 .295 .395 -.239 .000 .395 -.239 .237 -.183 -.354 .324 .204 .073 .250 -.118 .118

Sig. (2-tailed)

.162 .561 .169 .492 .239 .056 .736 .207 .000

.393 .048 .207 1.000

.461 .461 .492 .079 .266 .763 .090 .736 .546 .162 .056 .261 1.000

.056 .261 .266 .393 .090 .122 .339 .736 .239 .582 .582

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q11 Pearson Correlation

-.162 .000 -.185 -.162 -.365 -.346 -.185 -.293 -.397 -.183 1 -.447

*

-.293 .067 -.115 -.346 .269 -.067 .022 -.071 -.258 -.185 -.118 -.162 -.115 -.131 -.067 -.346 .218 -.367 .289 .086 -.308 -.050 .026 -.183 -.022 .022

Sig. (2-tailed)

.451 1.000

.386 .451 .079 .097 .386 .165 .055 .393

.028 .165 .757 .591 .097 .203 .757 .920 .742 .223 .386 .582 .451 .591 .542 .757 .097 .306 .078 .171 .689 .144 .818 .902 .393 .920 .920

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q12 Pearson Correlation

.361 .000 -.059 -.120 .204 .258 .415* .364 .652

*

*

.408* -

.447*

1 .655*

*

.050 .516*

*

.258 -.120 .149 -.048 .159 .192 .178 .265 -.120 .258 -.098 .149 .516*

*

-.293 .241 -.050 -.192 .476* .111 -.059 .408

* .048 .145

Sig. (2-tailed)

.083 1.000

.783 .575 .339 .223 .044 .081 .001 .048 .028

.001 .818 .010 .223 .575 .487 .823 .459 .368 .406 .211 .575 .223 .650 .487 .010 .165 .256 .818 .368 .019 .605 .783 .048 .823 .500

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q13 Pearson Correlation

.552*

*

.000 -.194 -.079 .267 -.169 .427* .619

*

*

.427* .267 -.293 .655

*

*

1 .293 .507* .169 -.079 .228 -.158 -.035 .126 .116 .312 -.079 .169 -.319 .228 .507

* -.319 .158 -.293 .126 .312 .073 -.194 .535

*

*

-.095 .095

Sig. (2-tailed)

.005 1.000

.364 .714 .207 .430 .038 .001 .038 .207 .165 .001

.165 .011 .430 .714 .285 .461 .872 .557 .588 .138 .714 .430 .128 .285 .011 .128 .461 .165 .557 .138 .736 .364 .007 .659 .659

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q14 Pearson Correlation

.162 .548*

*

-.238 -.269 .365 -.577

*

*

.185 .293 -.238 .000 .067 .050 .293 1 .115 -.115 .162 .067 -.022 .071 .086 .397 .308 .162 -.115 -.218 .067 .115 -.218 .367 .067 .258 .118 .248 -.026 .183 .367 .324

Sig. (2-tailed)

.451 .006 .262 .203 .079 .003 .386 .165 .262 1.000

.757 .818 .165

.591 .591 .451 .757 .920 .742 .689 .055 .144 .451 .591 .306 .757 .591 .306 .078 .757 .223 .582 .242 .902 .393 .078 .123

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q15 Pearson Correlation

.466* .158 -.229 -.093 .395 -.200 .596

*

*

.507* .321 .158 -.115 .516

*

*

.507* .115 1 .100 -.093 .115 .187 .287 .000 .321 -.041 -.093 .100 -.151 .577

*

*

.400 -.151 .262 -.115 .000 .451* .000 -.229 .158 -.187 .187

Sig. (2-tailed)

.022 .461 .281 .665 .056 .349 .002 .011 .126 .461 .591 .010 .011 .591

.642 .665 .591 .382 .174 1.000

.126 .849 .665 .642 .481 .003 .053 .481 .217 .591 1.000

.027 1.000

.281 .461 .382 .382

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q16 Pearson Correlation

.466* -.316 .596

*

*

.466* .395 .400 .321 .507

* .321 .158 -.346 .258 .169 -.115 .100 1 -.093 .346 -.262 .041 .447

* .046 -.041 -.093 .400 .076 .115 .100 .076 .262 .115 -.224 .205 .000 .046 .158 -.187 .187

Sig. (2-tailed)

.022 .132 .002 .022 .056 .053 .126 .011 .126 .461 .097 .223 .430 .591 .642

.665 .097 .217 .849 .028 .831 .849 .665 .053 .726 .591 .642 .726 .217 .591 .294 .337 1.000

.831 .461 .382 .382

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q17 Pearson Correlation

-.043 -.147 -.107 -.043 -.147 -.093 -.107 -.079 -.107 -.147 .269 -.120 -.079 .162 -.093 -.093 1 .269 -.227 -.325 -.209 -.107 -.134 -.043 -.093 -.176 -.162 -.093 -.176 -.192 .269 .209 -.134 -.120 -.107 -.147 -.192 .192

Sig. (2-tailed)

.840 .492 .619 .840 .492 .665 .619 .714 .619 .492 .203 .575 .714 .451 .665 .665

.203 .287 .121 .328 .619 .533 .840 .665 .410 .451 .665 .410 .369 .203 .328 .533 .575 .619 .492 .369 .369

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q18 Pearson Correlation

.269 .000 .238 .269 .365 .115 .026 .228 .238 .365 -.067 .149 .228 .067 .115 .346 .269 1 -.151 .308 .602*

*

.238 .260 -.162 .577*

*

-.306 .467* .115 -.131 -.022 -.244 .086 .260 .348 .026 .548

*

*

-.367 .367

Sig. (2-tailed)

.203 1.000

.262 .203 .079 .591 .902 .285 .262 .079 .757 .487 .285 .757 .591 .097 .203

.481 .144 .002 .262 .219 .451 .003 .147 .022 .591 .542 .920 .250 .689 .219 .096 .902 .006 .078 .078

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q19 Pearson Correlation

-.227 .473* -.146 .192 -.237 -.037 -.146 -.158 -.146 -.237 .022 -.048 -.158 -.022 .187 -.262 -.227 -.151 1 .698

*

*

.084 .060 .038 -.227 -.037 .099 .194 .187 -.071 .343 -.324 .084 -.330 -.048 .266 -.059 .343 -.343

Sig. (2-tailed)

.287 .020 .496 .369 .266 .862 .496 .461 .496 .266 .920 .823 .461 .920 .382 .217 .287 .481

.000 .698 .780 .859 .287 .862 .646 .363 .382 .743 .101 .123 .698 .116 .823 .209 .784 .101 .101

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q20 Pearson Correlation

.134 .454* -.122 .134 .065 .041 -.122 -.035 .103 .065 -.071 .159 -.035 .071 .287 .041 -.325 .308 .698

*

*

1 .458* .103 .210 -.325 .287 .170 .497

* .287 -.015 .222 -

.450*

.275 .008 .370 .103 .259 .222 -.038

Sig. (2-tailed)

.533 .026 .569 .533 .763 .849 .569 .872 .630 .763 .742 .459 .872 .742 .174 .849 .121 .144 .000

.024 .630 .324 .121 .174 .426 .013 .174 .943 .296 .027 .193 .969 .075 .630 .221 .296 .859

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q21 Pearson Correlation

.209 .000 .308 .209 .354 .224 .103 .378 .308 .354 -.258 .192 .126 .086 .000 .447* -.209 .602

*

*

.084 .458* 1 .308 .092 -.209 .447

* .169 .258 .224 .000 .251 -.258 -.167 .092 .385 .513

* .530

*

*

.084 .084

Sig. (2-tailed)

.328 1.000

.143 .328 .090 .294 .633 .069 .143 .090 .223 .368 .557 .689 1.000

.028 .328 .002 .698 .024

.143 .670 .328 .028 .430 .223 .294 1.000

.237 .223 .436 .670 .063 .010 .008 .698 .698

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q22 Pearson Correlation

-.107 .508* .242 -.107 .508

* -.229 .495

* .427

* -.011 .073 -.185 .178 .116 .397 .321 .046 -.107 .238 .060 .103 .308 1 .348 -.107 .046 -.017 .238 .046 .191 .352 .026 -.308 .348 .178 .242 .290 .146 .266

Sig. (2-tailed)

.619 .011 .254 .619 .011 .281 .014 .038 .961 .736 .386 .406 .588 .055 .126 .831 .619 .262 .780 .630 .143

.096 .619 .831 .936 .262 .831 .372 .092 .902 .143 .096 .406 .254 .169 .496 .209

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q23 Pearson Correlation

-.134 .519*

*

.122 -.134 -.065 -.041 -.103 .035 .122 .130 -.118 .265 .312 .308 -.041 -.041 -.134 .260 .038 .210 .092 .348 1 -.134 .205 .015 .071 .205 .201 .146 -.118 .092 .193 .265 -.103 .519*

*

.146 .038

Sig. (2-tailed)

.533 .009 .569 .533 .763 .849 .630 .872 .569 .546 .582 .211 .138 .144 .849 .849 .533 .219 .859 .324 .670 .096

.533 .337 .943 .742 .337 .345 .497 .582 .670 .366 .211 .630 .009 .497 .859

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q24 Pearson Correlation

-.043 -.147 -.107 -.043 .295 -.093 -.107 -.079 -.107 .295 -.162 -.120 -.079 .162 -.093 -.093 -.043 -.162 -.227 -.325 -.209 -.107 -.134 1 -.093 -.176 -.162 -.093 -.176 .227 .269 -.209 .325 -.120 -.107 -.147 -.192 .192

Sig. (2-tailed)

.840 .492 .619 .840 .162 .665 .619 .714 .619 .162 .451 .575 .714 .451 .665 .665 .840 .451 .287 .121 .328 .619 .533

.665 .410 .451 .665 .410 .287 .203 .328 .121 .575 .619 .492 .369 .369

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q25 Pearson Correlation

.466* -.079 .321 -.093 -.079 .100 .046 .169 .321 .395 -.115 .258 .169 -.115 .100 .400 -.093 .577

*

*

-.037 .287 .447* .046 .205 -.093 1 -.151 .115 .100 .076 .037 -.115 .000 .205 .000 .321 .632

*

*

-.187 .187

Sig. (2-tailed)

.022 .713 .126 .665 .713 .642 .831 .430 .126 .056 .591 .223 .430 .591 .642 .053 .665 .003 .862 .174 .028 .831 .337 .665

.481 .591 .642 .726 .862 .591 1.000

.337 1.000

.126 .001 .382 .382

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q26 Pearson Correlation

-.176 -.060 -.017 -.176 -.239 .076 -.017 -.064 -.017 -.239 -.131 -.098 -.319 -.218 -.151 .076 -.176 -.306 .099 .170 .169 -.017 .015 -.176 -.151 1 -.306 .076 .657*

*

-.099 .044 .000 .015 .098 .191 -.060 .240 -.240

Sig. (2-tailed)

.410 .781 .936 .410 .261 .726 .936 .767 .936 .261 .542 .650 .128 .306 .481 .726 .410 .147 .646 .426 .430 .936 .943 .410 .481

.147 .726 .000 .646 .840 1.000

.943 .650 .372 .781 .258 .258

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q27 Pearson Correlation

.269 .183 -.185 .269 .548*

*

-.115 .238 .228 .026 .000 -.067 .149 .228 .067 .577*

*

.115 -.162 .467* .194 .497

* .258 .238 .071 -.162 .115 -.306 1 .115 -.306 .151 -.244 .258 .260 .149 -.185 .183 -.194 .367

Sig. (2-tailed)

.203 .393 .386 .203 .006 .591 .262 .285 .902 1.000

.757 .487 .285 .757 .003 .591 .451 .022 .363 .013 .223 .262 .742 .451 .591 .147

.591 .147 .481 .250 .223 .219 .487 .386 .393 .363 .078

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q28 Pearson Correlation

.466* .158 -.229 -.093 .158 .100 .321 .507

* .596

*

*

.395 -.346 .516*

*

.507* .115 .400 .100 -.093 .115 .187 .287 .224 .046 .205 -.093 .100 .076 .115 1 -.151 .486

* -.346 .000 .205 .000 .046 .158 .037 -.037

Sig. (2-tailed)

.022 .461 .281 .665 .461 .642 .126 .011 .002 .056 .097 .010 .011 .591 .053 .642 .665 .591 .382 .174 .294 .831 .337 .665 .642 .726 .591

.481 .016 .097 1.000

.337 1.000

.831 .461 .862 .862

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q29 Pearson Correlation

-.176 -.060 .191 -.176 -.239 -.151 -.017 -.064 -.225 -.239 .218 -.293 -.319 -.218 -.151 .076 -.176 -.131 -.071 -.015 .000 .191 .201 -.176 .076 .657*

*

-.306 -.151 1 -.269 .218 -.169 .015 -.098 .191 .120 .071 -.240

Sig. (2-tailed)

.410 .781 .372 .410 .261 .481 .936 .767 .289 .261 .306 .165 .128 .306 .481 .726 .410 .542 .743 .943 1.000

.372 .345 .410 .726 .000 .147 .481

.204 .306 .430 .943 .650 .372 .578 .743 .258

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q30 Pearson Correlation

.227 .414* .146 .227 .414

* .037 .352 .411

* .146 .237 -.367 .241 .158 .367 .262 .262 -.192 -.022 .343 .222 .251 .352 .146 .227 .037 -.099 .151 .486

* -.269 1 -.022 -.251 .146 -.145 .146 -.118 .329 .007

Sig. (2-tailed)

.287 .044 .496 .287 .044 .862 .092 .046 .496 .266 .078 .256 .461 .078 .217 .217 .369 .920 .101 .296 .237 .092 .497 .287 .862 .646 .481 .016 .204

.920 .237 .497 .500 .496 .582 .117 .974

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q31 Pearson Correlation

-.162 -.183 .026 -.162 .000 -.115 .238 -.033 -.185 -.183 .289 -.050 -.293 .067 -.115 .115 .269 -.244 -.324 -.450

*

-.258 .026 -.118 .269 -.115 .044 -.244 -.346 .218 -.022 1 -.430

*

.260 -.248 .026 -.183 -.022 .367

Sig. (2-tailed)

.451 .393 .902 .451 1.000

.591 .262 .880 .386 .393 .171 .818 .165 .757 .591 .591 .203 .250 .123 .027 .223 .902 .582 .203 .591 .840 .250 .097 .306 .920

.036 .219 .242 .902 .393 .920 .078

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q32 Pearson Correlation

.209 .177 -.513

*

-.209 -.177 -.447

*

-.308 -.126 -.308 -.354 .086 -.192 .126 .258 .000 -.224 .209 .086 .084 .275 -.167 -.308 .092 -.209 .000 .000 .258 .000 -.169 -.251 -.430

*

1 -.275 .192 -.308 .000 .084 .084

Sig. (2-tailed)

.328 .409 .010 .328 .409 .028 .143 .557 .143 .090 .689 .368 .557 .223 1.000

.294 .328 .689 .698 .193 .436 .143 .670 .328 1.000

1.000

.223 1.000

.430 .237 .036

.193 .368 .143 1.000

.698 .698

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q33 Pearson Correlation

.325 .130 -.103 -.134 .519*

*

-.041 .574*

*

.312 .348 .324 -.308 .476* .312 .118 .451

* .205 -.134 .260 -.330 .008 .092 .348 .193 .325 .205 .015 .260 .205 .015 .146 .260 -.275 1 .265 -.329 .324 -

.406*

.590**

Sig. (2-tailed)

.121 .546 .630 .533 .009 .849 .003 .138 .096 .122 .144 .019 .138 .582 .027 .337 .533 .219 .116 .969 .670 .096 .366 .121 .337 .943 .219 .337 .943 .497 .219 .193

.211 .116 .122 .049 .002

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q34 Pearson Correlation

-.120 .408* -.059 -.120 .204 .000 -.059 .073 .178 .204 -.050 .111 .073 .248 .000 .000 -.120 .348 -.048 .370 .385 .178 .265 -.120 .000 .098 .149 .000 -.098 -.145 -.248 .192 .265 1 -.296 .204 -.145 .338

Sig. (2-tailed)

.575 .048 .783 .575 .339 1.000

.783 .736 .406 .339 .818 .605 .736 .242 1.000

1.000

.575 .096 .823 .075 .063 .406 .211 .575 1.000

.650 .487 1.000

.650 .500 .242 .368 .211

.160 .339 .500 .106

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q35 Pearson Correlation

-.107 -.145 .242 -.107 -.145 .046 -.011 .116 -.011 .073 .026 -.059 -.194 -.026 -.229 .046 -.107 .026 .266 .103 .513* .242 -.103 -.107 .321 .191 -.185 .046 .191 .146 .026 -.308 -.329 -.296 1 .290 .352 -.146

Sig. (2-tailed)

.619 .499 .254 .619 .499 .831 .961 .588 .961 .736 .902 .783 .364 .902 .281 .831 .619 .902 .209 .630 .010 .254 .630 .619 .126 .372 .386 .831 .372 .496 .902 .143 .116 .160

.169 .092 .496

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q36 Pearson Correlation

.295 .063 .073 -.147 .063 -.079 .073 .267 .290 .250 -.183 .408* .535

*

*

.183 .158 .158 -.147 .548*

*

-.059 .259 .530*

*

.290 .519*

*

-.147 .632*

*

-.060 .183 .158 .120 -.118 -.183 .000 .324 .204 .290 1 -.118 .118

Sig. (2-tailed)

.162 .772 .736 .492 .772 .713 .736 .207 .169 .239 .393 .048 .007 .393 .461 .461 .492 .006 .784 .221 .008 .169 .009 .492 .001 .781 .393 .461 .578 .582 .393 1.000

.122 .339 .169

.582 .582

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q37 Pearson Correlation

-.192 .237 -.060 -.192 -.118 -.187 -.060 -.095 -.266 -.118 -.022 .048 -.095 .367 -.187 -.187 -.192 -.367 .343 .222 .084 .146 .146 -.192 -.187 .240 -.194 .037 .071 .329 -.022 .084 -.406

*

-.145 .352 -.118 1 -.329

Sig. (2-tailed)

.369 .266 .780 .369 .582 .382 .780 .659 .209 .582 .920 .823 .659 .078 .382 .382 .369 .078 .101 .296 .698 .496 .497 .369 .382 .258 .363 .862 .743 .117 .920 .698 .049 .500 .092 .582

.117

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q38 Pearson Correlation

.192 .118 -.146 -.227 .473* -.262 .472

* .348 .060 .118 .022 .145 .095 .324 .187 .187 .192 .367 -.343 -.038 .084 .266 .038 .192 .187 -.240 .367 -.037 -.240 .007 .367 .084 .590

*

*

.338 -.146 .118 -.329 1

Sig. (2-tailed)

.369 .582 .496 .287 .020 .217 .020 .096 .780 .582 .920 .500 .659 .123 .382 .382 .369 .078 .101 .859 .698 .209 .859 .369 .382 .258 .078 .862 .258 .974 .078 .698 .002 .106 .496 .582 .117

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Descriptive Statistics

Mean Std. Deviation N

Q1 .9583 .20412 24

Q2 .6667 .48154 24

Q3 .7917 .41485 24

Q4 .9583 .20412 24

Q5 .6667 .48154 24

Q6 .8333 .38069 24

Q7 .7917 .41485 24

Q8 .8750 .33783 24

Q9 .7917 .41485 24

Q10 .6667 .48154 24

Q11 .6250 .49454 24

Q12 .7500 .44233 24

Q13 .8750 .33783 24

Q14 .3750 .49454 24

Q15 .8333 .38069 24

Q16 .8333 .38069 24

Q17 .9583 .20412 24

Q18 .6250 .49454 24

Q19 .4583 .50898 24

Q20 .2917 .46431 24

Q21 .5000 .51075 24

Q22 .7917 .41485 24

Q23 .7083 .46431 24

Q24 .9583 .20412 24

Q25 .8333 .38069 24

Q26 .5833 .50361 24

Q27 .6250 .49454 24

Q28 .8333 .38069 24

Q29 .5833 .50361 24

Q30 .5417 .50898 24

Q31 .6250 .49454 24

Q32 .5000 .51075 24

Q33 .7083 .46431 24

Q34 .7500 .44233 24

Q35 .7917 .41485 24

Q36 .6667 .48154 24

Q37 .5417 .50898 24

Q38 .4583 .50898 24

Q39 .5000 .51075 24

Q40 .7083 .46431 24

Q41 .4167 .50361 24

Q42 .5000 .51075 24

Q43 .4167 .50361 24

Q44 .7083 .46431 24

Q45 .6250 .49454 24

Q46 .4583 .50898 24

Q47 .7500 .44233 24

Q48 .6250 .49454 24

Q49 .6667 .48154 24

Q50 .7083 .46431 24

Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q39 Q40 Q41 Q42 Q43 Q44 Q45 Q46 Q47 Q48 Q49 Q50

Q1 Pear

son

Corr

elati

on

1 -.147 -.107 -.043 .295 -.093 .406* .552

*

*

.406* .295 -.162 .361 .552

*

*

.162 .466* .466

* -.043 .269 -.227 .134 .209 -.107 -.134 -.043 .466

* -.176 .269 .466

* -.176 .227 -.162 .209 .325 -.120 -.107 .295 -.192 .192 .209 .325 -.247 .209 -.247 -.134 .269 .192 -.120 .269 -.147 .325

Sig.

(2-

taile

d)

.492 .619 .840 .162 .665 .049 .005 .049 .162 .451 .083 .005 .451 .022 .022 .840 .203 .287 .533 .328 .619 .533 .840 .022 .410 .203 .022 .410 .287 .451 .328 .121 .575 .619 .162 .369 .369 .328 .121 .245 .328 .245 .533 .203 .369 .575 .203 .492 .121

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q2 Pear

son

Corr

elati

on

-.147 1 -.145 -.147 .063 -.316 .073 .000 -.145 -.125 .000 .000 .000 .548*

*

.158 -.316 -.147 .000 .473* .454

* .000 .508

* .519

*

*

-.147 -.079 -.060 .183 .158 -.060 .414* -.183 .177 .130 .408

* -.145 .063 .237 .118 .530

*

*

.130 .418* -

.530*

*

.598*

*

-

.454*

.365 -

.414*

.408* .000 .063 .324

Sig.

(2-

taile

d)

.492

.499 .492 .772 .132 .736 1.00

0

.499 .561 1.00

0

1.00

0

1.00

0

.006 .461 .132 .492 1.00

0

.020 .026 1.00

0

.011 .009 .492 .713 .781 .393 .461 .781 .044 .393 .409 .546 .048 .499 .772 .266 .582 .008 .546 .042 .008 .002 .026 .079 .044 .048 1.00

0

.772 .122

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q3 Pear

son

Corr

elati

on

-.107 -.145 1 .406* .073 .596

*

*

-.011 .116 .242 .290 -.185 -.059 -.194 -.238 -.229 .596*

*

-.107 .238 -.146 -.122 .308 .242 .122 -.107 .321 -.017 -.185 -.229 .191 .146 .026 -

.513*

-.103 -.059 .242 .073 -.060 -.146 .103 .122 -.191 .103 .017 .122 -.185 .060 .178 .026 .073 .122

Sig.

(2-

taile

d)

.619 .499

.049 .736 .002 .961 .588 .254 .169 .386 .783 .364 .262 .281 .002 .619 .262 .496 .569 .143 .254 .569 .619 .126 .936 .386 .281 .372 .496 .902 .010 .630 .783 .254 .736 .780 .496 .633 .569 .372 .633 .936 .569 .386 .780 .406 .902 .736 .569

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q4 Pear

son

Corr

elati

on

-.043 -.147 .406* 1 .295 .466

* -.107 -.079 -.107 -.147 -.162 -.120 -.079 -.269 -.093 .466

* -.043 .269 .192 .134 .209 -.107 -.134 -.043 -.093 -.176 .269 -.093 -.176 .227 -.162 -.209 -.134 -.120 -.107 -.147 -.192 -.227 -.209 -.134 -.247 .209 .176 .325 -.162 .192 -.120 .269 -.147 -.134

Sig.

(2-

taile

d)

.840 .492 .049

.162 .022 .619 .714 .619 .492 .451 .575 .714 .203 .665 .022 .840 .203 .369 .533 .328 .619 .533 .840 .665 .410 .203 .665 .410 .287 .451 .328 .533 .575 .619 .492 .369 .287 .328 .533 .245 .328 .410 .121 .451 .369 .575 .203 .492 .533

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q5 Pear

son

Corr

elati

on

.295 .063 .073 .295 1 -.079 .508* .535

*

*

.073 .250 -.365 .204 .267 .365 .395 .395 -.147 .365 -.237 .065 .354 .508* -.065 .295 -.079 -.239 .548

*

*

.158 -.239 .414* .000 -.177 .519

*

*

.204 -.145 .063 -.118 .473* .000 .130 .060 .000 .060 .130 .365 .118 .000 .183 .250 .130

Sig.

(2-

taile

d)

.162 .772 .736 .162

.713 .011 .007 .736 .239 .079 .339 .207 .079 .056 .056 .492 .079 .266 .763 .090 .011 .763 .162 .713 .261 .006 .461 .261 .044 1.00

0

.409 .009 .339 .499 .772 .582 .020 1.00

0

.546 .781 1.00

0

.781 .546 .079 .582 1.00

0

.393 .239 .546

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q6 Pear

son

Corr

elati

on

-.093 -.316 .596*

*

.466* -.079 1 -.229 -.169 .596

*

*

.395 -.346 .258 -.169 -

.577*

*

-.200 .400 -.093 .115 -.037 .041 .224 -.229 -.041 -.093 .100 .076 -.115 .100 -.151 .037 -.115 -

.447*

-.041 .000 .046 -.079 -.187 -.262 .000 -.041 -.076 .224 -.076 .451* -.115 -.262 .000 -.115 -.079 -.041

Sig.

(2-

taile

d)

.665 .132 .002 .022 .713

.281 .430 .002 .056 .097 .223 .430 .003 .349 .053 .665 .591 .862 .849 .294 .281 .849 .665 .642 .726 .591 .642 .481 .862 .591 .028 .849 1.00

0

.831 .713 .382 .217 1.00

0

.849 .726 .294 .726 .027 .591 .217 1.00

0

.591 .713 .849

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q7 Pear

son

Corr

elati

on

.406* .073 -.011 -.107 .508

* -.229 1 .737

*

*

.242 .073 -.185 .415* .427

* .185 .596

*

*

.321 -.107 .026 -.146 -.122 .103 .495* -.103 -.107 .046 -.017 .238 .321 -.017 .352 .238 -.308 .574

*

*

-.059 -.011 .073 -.060 .472* -.103 .122 -.191 .103 .017 -.329 .238 .060 -.059 .450

* -.145 .348

Sig.

(2-

taile

d)

.049 .736 .961 .619 .011 .281

.000 .254 .736 .386 .044 .038 .386 .002 .126 .619 .902 .496 .569 .633 .014 .630 .619 .831 .936 .262 .126 .936 .092 .262 .143 .003 .783 .961 .736 .780 .020 .633 .569 .372 .633 .936 .116 .262 .780 .783 .027 .499 .096

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q8 Pear

son

Corr

elati

on

.552*

*

.000 .116 -.079 .535*

*

-.169 .737*

*

1 .427* .267 -.293 .364 .619

*

*

.293 .507* .507

* -.079 .228 -.158 -.035 .378 .427

* .035 -.079 .169 -.064 .228 .507

* -.064 .411

* -.033 -.126 .312 .073 .116 .267 -.095 .348 .126 .312 -.192 .126 -.192 -.243 .228 .095 .073 .228 .000 .312

Sig.

(2-

taile

d)

.005 1.00

0

.588 .714 .007 .430 .000

.038 .207 .165 .081 .001 .165 .011 .011 .714 .285 .461 .872 .069 .038 .872 .714 .430 .767 .285 .011 .767 .046 .880 .557 .138 .736 .588 .207 .659 .096 .557 .138 .370 .557 .370 .253 .285 .659 .736 .285 1.00

0

.138

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q9 Pear

son

Corr

elati

on

.406* -.145 .242 -.107 .073 .596

*

*

.242 .427* 1 .725

*

*

-.397 .652*

*

.427* -.238 .321 .321 -.107 .238 -.146 .103 .308 -.011 .122 -.107 .321 -.017 .026 .596

*

*

-.225 .146 -.185 -.308 .348 .178 -.011 .290 -.266 .060 .308 .122 .017 .103 -.191 .122 .238 -.352 .178 -.185 .073 .122

Sig.

(2-

taile

d)

.049 .499 .254 .619 .736 .002 .254 .038

.000 .055 .001 .038 .262 .126 .126 .619 .262 .496 .630 .143 .961 .569 .619 .126 .936 .902 .002 .289 .496 .386 .143 .096 .406 .961 .169 .209 .780 .143 .569 .936 .633 .372 .569 .262 .092 .406 .386 .736 .569

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q10 Pear

son

Corr

elati

on

.295 -.125 .290 -.147 .250 .395 .073 .267 .725*

*

1 -.183 .408* .267 .000 .158 .158 -.147 .365 -.237 .065 .354 .073 .130 .295 .395 -.239 .000 .395 -.239 .237 -.183 -.354 .324 .204 .073 .250 -.118 .118 .354 -.065 .239 .000 -.120 .324 .183 -.059 .204 -.365 .438

* -.065

Sig.

(2-

taile

d)

.162 .561 .169 .492 .239 .056 .736 .207 .000

.393 .048 .207 1.00

0

.461 .461 .492 .079 .266 .763 .090 .736 .546 .162 .056 .261 1.00

0

.056 .261 .266 .393 .090 .122 .339 .736 .239 .582 .582 .090 .763 .261 1.00

0

.578 .122 .393 .784 .339 .079 .033 .763

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q11 Pear

son

Corr

elati

on

-.162 .000 -.185 -.162 -.365 -.346 -.185 -.293 -.397 -.183 1 -

.447*

-.293 .067 -.115 -.346 .269 -.067 .022 -.071 -.258 -.185 -.118 -.162 -.115 -.131 -.067 -.346 .218 -.367 .289 .086 -.308 -.050 .026 -.183 -.022 .022 -.258 -.118 -.044 -.258 -.044 .071 -.067 .022 -.248 .111 .000 -.308

Sig.

(2-

taile

d)

.451 1.00

0

.386 .451 .079 .097 .386 .165 .055 .393

.028 .165 .757 .591 .097 .203 .757 .920 .742 .223 .386 .582 .451 .591 .542 .757 .097 .306 .078 .171 .689 .144 .818 .902 .393 .920 .920 .223 .582 .840 .223 .840 .742 .757 .920 .242 .605 1.00

0

.144

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q12 Pear

son

Corr

elati

on

.361 .000 -.059 -.120 .204 .258 .415* .364 .652

*

*

.408* -

.447*

1 .655*

*

.050 .516*

*

.258 -.120 .149 -.048 .159 .192 .178 .265 -.120 .258 -.098 .149 .516*

*

-.293 .241 -.050 -.192 .476* .111 -.059 .408

* .048 .145 .000 .053 .098 .000 -.098 -.159 .348 -.241 .333 -.050 .204 .265

Sig.

(2-

taile

d)

.083 1.00

0

.783 .575 .339 .223 .044 .081 .001 .048 .028

.001 .818 .010 .223 .575 .487 .823 .459 .368 .406 .211 .575 .223 .650 .487 .010 .165 .256 .818 .368 .019 .605 .783 .048 .823 .500 1.00

0

.806 .650 1.00

0

.650 .459 .096 .256 .111 .818 .339 .211

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q13 Pear

son

Corr

elati

on

.552*

*

.000 -.194 -.079 .267 -.169 .427* .619

*

*

.427* .267 -.293 .655

*

*

1 .293 .507* .169 -.079 .228 -.158 -.035 .126 .116 .312 -.079 .169 -.319 .228 .507

* -.319 .158 -.293 .126 .312 .073 -.194 .535

*

*

-.095 .095 .126 .035 .064 -.126 .064 -.243 .228 .095 .364 -.033 .267 .035

Sig.

(2-

taile

d)

.005 1.00

0

.364 .714 .207 .430 .038 .001 .038 .207 .165 .001

.165 .011 .430 .714 .285 .461 .872 .557 .588 .138 .714 .430 .128 .285 .011 .128 .461 .165 .557 .138 .736 .364 .007 .659 .659 .557 .872 .767 .557 .767 .253 .285 .659 .081 .880 .207 .872

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q14 Pear

son

Corr

elati

on

.162 .548*

*

-.238 -.269 .365 -

.577*

*

.185 .293 -.238 .000 .067 .050 .293 1 .115 -.115 .162 .067 -.022 .071 .086 .397 .308 .162 -.115 -.218 .067 .115 -.218 .367 .067 .258 .118 .248 -.026 .183 .367 .324 .258 .118 .393 -

.430*

.218 -.260 .244 -.022 .248 -.111 .365 .308

Sig.

(2-

taile

d)

.451 .006 .262 .203 .079 .003 .386 .165 .262 1.00

0

.757 .818 .165

.591 .591 .451 .757 .920 .742 .689 .055 .144 .451 .591 .306 .757 .591 .306 .078 .757 .223 .582 .242 .902 .393 .078 .123 .223 .582 .058 .036 .306 .219 .250 .920 .242 .605 .079 .144

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q15 Pear

son

Corr

elati

on

.466* .158 -.229 -.093 .395 -.200 .596

*

*

.507* .321 .158 -.115 .516

*

*

.507* .115 1 .100 -.093 .115 .187 .287 .000 .321 -.041 -.093 .100 -.151 .577

*

*

.400 -.151 .262 -.115 .000 .451* .000 -.229 .158 -.187 .187 .000 .205 -.076 .000 -.076 -.287 .346 -.037 .000 .346 -.079 .205

Sig.

(2-

taile

d)

.022 .461 .281 .665 .056 .349 .002 .011 .126 .461 .591 .010 .011 .591

.642 .665 .591 .382 .174 1.00

0

.126 .849 .665 .642 .481 .003 .053 .481 .217 .591 1.00

0

.027 1.00

0

.281 .461 .382 .382 1.00

0

.337 .726 1.00

0

.726 .174 .097 .862 1.00

0

.097 .713 .337

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q16 Pear

son

Corr

elati

on

.466* -.316 .596

*

*

.466* .395 .400 .321 .507

* .321 .158 -.346 .258 .169 -.115 .100 1 -.093 .346 -.262 .041 .447

* .046 -.041 -.093 .400 .076 .115 .100 .076 .262 .115 -.224 .205 .000 .046 .158 -.187 .187 .000 .451

* -

.529*

*

.447* -.302 -.041 .115 .187 .000 .346 -.079 .451

*

Sig.

(2-

taile

d)

.022 .132 .002 .022 .056 .053 .126 .011 .126 .461 .097 .223 .430 .591 .642

.665 .097 .217 .849 .028 .831 .849 .665 .053 .726 .591 .642 .726 .217 .591 .294 .337 1.00

0

.831 .461 .382 .382 1.00

0

.027 .008 .028 .151 .849 .591 .382 1.00

0

.097 .713 .027

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q17 Pear

son

Corr

elati

on

-.043 -.147 -.107 -.043 -.147 -.093 -.107 -.079 -.107 -.147 .269 -.120 -.079 .162 -.093 -.093 1 .269 -.227 -.325 -.209 -.107 -.134 -.043 -.093 -.176 -.162 -.093 -.176 -.192 .269 .209 -.134 -.120 -.107 -.147 -.192 .192 -.209 -.134 -.247 .209 -.247 -.134 -.162 -.227 -.120 -.162 -.147 -.134

Sig.

(2-

taile

d)

.840 .492 .619 .840 .492 .665 .619 .714 .619 .492 .203 .575 .714 .451 .665 .665

.203 .287 .121 .328 .619 .533 .840 .665 .410 .451 .665 .410 .369 .203 .328 .533 .575 .619 .492 .369 .369 .328 .533 .245 .328 .245 .533 .451 .287 .575 .451 .492 .533

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q18 Pear

son

Corr

elati

on

.269 .000 .238 .269 .365 .115 .026 .228 .238 .365 -.067 .149 .228 .067 .115 .346 .269 1 -.151 .308 .602*

*

.238 .260 -.162 .577*

*

-.306 .467* .115 -.131 -.022 -.244 .086 .260 .348 .026 .548

*

*

-.367 .367 .258 .071 -.044 .086 -.044 -.118 .289 .022 .348 -.067 .365 -.118

Sig.

(2-

taile

d)

.203 1.00

0

.262 .203 .079 .591 .902 .285 .262 .079 .757 .487 .285 .757 .591 .097 .203

.481 .144 .002 .262 .219 .451 .003 .147 .022 .591 .542 .920 .250 .689 .219 .096 .902 .006 .078 .078 .223 .742 .840 .689 .840 .582 .171 .920 .096 .757 .079 .582

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q19 Pear

son

Corr

elati

on

-.227 .473* -.146 .192 -.237 -.037 -.146 -.158 -.146 -.237 .022 -.048 -.158 -.022 .187 -.262 -.227 -.151 1 .698

*

*

.084 .060 .038 -.227 -.037 .099 .194 .187 -.071 .343 -.324 .084 -.330 -.048 .266 -.059 .343 -.343 .084 -.146 .240 -.084 .240 -.146 -.151 -.007 -.048 .194 -.237 .038

Sig.

(2-

taile

d)

.287 .020 .496 .369 .266 .862 .496 .461 .496 .266 .920 .823 .461 .920 .382 .217 .287 .481

.000 .698 .780 .859 .287 .862 .646 .363 .382 .743 .101 .123 .698 .116 .823 .209 .784 .101 .101 .698 .497 .258 .698 .258 .497 .481 .974 .823 .363 .266 .859

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q20 Pear

son

Corr

elati

on

.134 .454* -.122 .134 .065 .041 -.122 -.035 .103 .065 -.071 .159 -.035 .071 .287 .041 -.325 .308 .698

*

*

1 .458* .103 .210 -.325 .287 .170 .497

* .287 -.015 .222 -

.450*

.275 .008 .370 .103 .259 .222 -.038 .275 .210 .201 -.092 .201 -.193 .308 -.038 .159 .118 .065 .210

Sig.

(2-

taile

d)

.533 .026 .569 .533 .763 .849 .569 .872 .630 .763 .742 .459 .872 .742 .174 .849 .121 .144 .000

.024 .630 .324 .121 .174 .426 .013 .174 .943 .296 .027 .193 .969 .075 .630 .221 .296 .859 .193 .324 .345 .670 .345 .366 .144 .859 .459 .582 .763 .324

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q21 Pear

son

Corr

elati

on

.209 .000 .308 .209 .354 .224 .103 .378 .308 .354 -.258 .192 .126 .086 .000 .447* -.209 .602

*

*

.084 .458* 1 .308 .092 -.209 .447

* .169 .258 .224 .000 .251 -.258 -.167 .092 .385 .513

* .530

*

*

.084 .084 .167 .275 .000 .167 -.169 .092 .086 .251 .385 -.086 .354 .092

Sig.

(2-

taile

d)

.328 1.00

0

.143 .328 .090 .294 .633 .069 .143 .090 .223 .368 .557 .689 1.00

0

.028 .328 .002 .698 .024

.143 .670 .328 .028 .430 .223 .294 1.00

0

.237 .223 .436 .670 .063 .010 .008 .698 .698 .436 .193 1.00

0

.436 .430 .670 .689 .237 .063 .689 .090 .670

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q22 Pear

son

Corr

elati

on

-.107 .508* .242 -.107 .508

* -.229 .495

* .427

* -.011 .073 -.185 .178 .116 .397 .321 .046 -.107 .238 .060 .103 .308 1 .348 -.107 .046 -.017 .238 .046 .191 .352 .026 -.308 .348 .178 .242 .290 .146 .266 .103 .122 .225 -.308 .225 -.329 .238 -.146 .415

* .026 .290 .122

Sig.

(2-

taile

d)

.619 .011 .254 .619 .011 .281 .014 .038 .961 .736 .386 .406 .588 .055 .126 .831 .619 .262 .780 .630 .143

.096 .619 .831 .936 .262 .831 .372 .092 .902 .143 .096 .406 .254 .169 .496 .209 .633 .569 .289 .143 .289 .116 .262 .496 .044 .902 .169 .569

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q23 Pear

son

Corr

elati

on

-.134 .519*

*

.122 -.134 -.065 -.041 -.103 .035 .122 .130 -.118 .265 .312 .308 -.041 -.041 -.134 .260 .038 .210 .092 .348 1 -.134 .205 .015 .071 .205 .201 .146 -.118 .092 .193 .265 -.103 .519*

*

.146 .038 .458* .193 .356 -

.458*

.356 -

.412*

.450* -.330 .688

*

*

-.308 .519*

*

.193

Sig.

(2-

taile

d)

.533 .009 .569 .533 .763 .849 .630 .872 .569 .546 .582 .211 .138 .144 .849 .849 .533 .219 .859 .324 .670 .096

.533 .337 .943 .742 .337 .345 .497 .582 .670 .366 .211 .630 .009 .497 .859 .024 .366 .087 .024 .087 .046 .027 .116 .000 .144 .009 .366

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q24 Pear

son

Corr

elati

on

-.043 -.147 -.107 -.043 .295 -.093 -.107 -.079 -.107 .295 -.162 -.120 -.079 .162 -.093 -.093 -.043 -.162 -.227 -.325 -.209 -.107 -.134 1 -.093 -.176 -.162 -.093 -.176 .227 .269 -.209 .325 -.120 -.107 -.147 -.192 .192 .209 -.134 .176 .209 -.247 .325 -.162 .192 -.120 -.162 .295 -.134

Sig.

(2-

taile

d)

.840 .492 .619 .840 .162 .665 .619 .714 .619 .162 .451 .575 .714 .451 .665 .665 .840 .451 .287 .121 .328 .619 .533

.665 .410 .451 .665 .410 .287 .203 .328 .121 .575 .619 .492 .369 .369 .328 .533 .410 .328 .245 .121 .451 .369 .575 .451 .162 .533

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q25 Pear

son

Corr

elati

on

.466* -.079 .321 -.093 -.079 .100 .046 .169 .321 .395 -.115 .258 .169 -.115 .100 .400 -.093 .577

*

*

-.037 .287 .447* .046 .205 -.093 1 -.151 .115 .100 .076 .037 -.115 .000 .205 .000 .321 .632

*

*

-.187 .187 .447* .205 -.076 .224 -.302 -.287 .115 .187 .258 .115 .158 .205

Sig.

(2-

taile

d)

.022 .713 .126 .665 .713 .642 .831 .430 .126 .056 .591 .223 .430 .591 .642 .053 .665 .003 .862 .174 .028 .831 .337 .665

.481 .591 .642 .726 .862 .591 1.00

0

.337 1.00

0

.126 .001 .382 .382 .028 .337 .726 .294 .151 .174 .591 .382 .223 .591 .461 .337

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q26 Pear

son

Corr

elati

on

-.176 -.060 -.017 -.176 -.239 .076 -.017 -.064 -.017 -.239 -.131 -.098 -.319 -.218 -.151 .076 -.176 -.306 .099 .170 .169 -.017 .015 -.176 -.151 1 -.306 .076 .657*

*

-.099 .044 .000 .015 .098 .191 -.060 .240 -.240 -.169 .387 -.314 .338 -.143 -.170 -.131 .099 .098 -.131 -.060 .201

Sig.

(2-

taile

d)

.410 .781 .936 .410 .261 .726 .936 .767 .936 .261 .542 .650 .128 .306 .481 .726 .410 .147 .646 .426 .430 .936 .943 .410 .481

.147 .726 .000 .646 .840 1.00

0

.943 .650 .372 .781 .258 .258 .430 .061 .135 .106 .505 .426 .542 .646 .650 .542 .781 .345

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q27 Pear

son

Corr

elati

on

.269 .183 -.185 .269 .548*

*

-.115 .238 .228 .026 .000 -.067 .149 .228 .067 .577*

*

.115 -.162 .467* .194 .497

* .258 .238 .071 -.162 .115 -.306 1 .115 -.306 .151 -.244 .258 .260 .149 -.185 .183 -.194 .367 .086 .260 .131 -.086 .131 -.118 .467

* .022 -.050 .467

* .000 .071

Sig.

(2-

taile

d)

.203 .393 .386 .203 .006 .591 .262 .285 .902 1.00

0

.757 .487 .285 .757 .003 .591 .451 .022 .363 .013 .223 .262 .742 .451 .591 .147

.591 .147 .481 .250 .223 .219 .487 .386 .393 .363 .078 .689 .219 .542 .689 .542 .582 .022 .920 .818 .022 1.00

0

.742

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q28 Pear

son

Corr

elati

on

.466* .158 -.229 -.093 .158 .100 .321 .507

* .596

*

*

.395 -.346 .516*

*

.507* .115 .400 .100 -.093 .115 .187 .287 .224 .046 .205 -.093 .100 .076 .115 1 -.151 .486

* -.346 .000 .205 .000 .046 .158 .037 -.037 .224 -.041 .151 .000 -.076 -.041 .346 -.262 .000 -.115 -.079 .205

Sig.

(2-

taile

d)

.022 .461 .281 .665 .461 .642 .126 .011 .002 .056 .097 .010 .011 .591 .053 .642 .665 .591 .382 .174 .294 .831 .337 .665 .642 .726 .591

.481 .016 .097 1.00

0

.337 1.00

0

.831 .461 .862 .862 .294 .849 .481 1.00

0

.726 .849 .097 .217 1.00

0

.591 .713 .337

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q29 Pear

son

Corr

elati

on

-.176 -.060 .191 -.176 -.239 -.151 -.017 -.064 -.225 -.239 .218 -.293 -.319 -.218 -.151 .076 -.176 -.131 -.071 -.015 .000 .191 .201 -.176 .076 .657*

*

-.306 -.151 1 -.269 .218 -.169 .015 -.098 .191 .120 .071 -.240 -.169 .201 -.314 .000 -.143 -.170 .044 .099 .098 -.131 .120 .015

Sig.

(2-

taile

d)

.410 .781 .372 .410 .261 .481 .936 .767 .289 .261 .306 .165 .128 .306 .481 .726 .410 .542 .743 .943 1.00

0

.372 .345 .410 .726 .000 .147 .481

.204 .306 .430 .943 .650 .372 .578 .743 .258 .430 .345 .135 1.00

0

.505 .426 .840 .646 .650 .542 .578 .943

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q30 Pear

son

Corr

elati

on

.227 .414* .146 .227 .414

* .037 .352 .411

* .146 .237 -.367 .241 .158 .367 .262 .262 -.192 -.022 .343 .222 .251 .352 .146 .227 .037 -.099 .151 .486

* -.269 1 -.022 -.251 .146 -.145 .146 -.118 .329 .007 .251 .146 .099 .084 .099 -.038 .151 .007 .048 .151 -.118 .514

*

Sig.

(2-

taile

d)

.287 .044 .496 .287 .044 .862 .092 .046 .496 .266 .078 .256 .461 .078 .217 .217 .369 .920 .101 .296 .237 .092 .497 .287 .862 .646 .481 .016 .204

.920 .237 .497 .500 .496 .582 .117 .974 .237 .497 .646 .698 .646 .859 .481 .974 .823 .481 .582 .010

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q31 Pear

son

Corr

elati

on

-.162 -.183 .026 -.162 .000 -.115 .238 -.033 -.185 -.183 .289 -.050 -.293 .067 -.115 .115 .269 -.244 -.324 -

.450*

-.258 .026 -.118 .269 -.115 .044 -.244 -.346 .218 -.022 1 -

.430*

.260 -.248 .026 -.183 -.022 .367 -.258 .071 -.218 .086 -.393 .071 .111 -.151 -.248 .111 .000 .260

Sig.

(2-

taile

d)

.451 .393 .902 .451 1.00

0

.591 .262 .880 .386 .393 .171 .818 .165 .757 .591 .591 .203 .250 .123 .027 .223 .902 .582 .203 .591 .840 .250 .097 .306 .920

.036 .219 .242 .902 .393 .920 .078 .223 .742 .306 .689 .058 .742 .605 .481 .242 .605 1.00

0

.219

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q32 Pear

son

Corr

elati

on

.209 .177 -

.513*

-.209 -.177 -

.447*

-.308 -.126 -.308 -.354 .086 -.192 .126 .258 .000 -.224 .209 .086 .084 .275 -.167 -.308 .092 -.209 .000 .000 .258 .000 -.169 -.251 -

.430*

1 -.275 .192 -.308 .000 .084 .084 .167 .275 .000 .000 .169 -

.458*

.086 .084 .000 .086 -.177 .092

Sig.

(2-

taile

d)

.328 .409 .010 .328 .409 .028 .143 .557 .143 .090 .689 .368 .557 .223 1.00

0

.294 .328 .689 .698 .193 .436 .143 .670 .328 1.00

0

1.00

0

.223 1.00

0

.430 .237 .036

.193 .368 .143 1.00

0

.698 .698 .436 .193 1.00

0

1.00

0

.430 .024 .689 .698 1.00

0

.689 .409 .670

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q33 Pear

son

Corr

elati

on

.325 .130 -.103 -.134 .519*

*

-.041 .574*

*

.312 .348 .324 -.308 .476* .312 .118 .451

* .205 -.134 .260 -.330 .008 .092 .348 .193 .325 .205 .015 .260 .205 .015 .146 .260 -.275 1 .265 -.329 .324 -

.406*

.590*

*

.275 .193 -.015 .092 -.015 -.210 .450* -.146 .265 .071 .324 .193

Sig.

(2-

taile

d)

.121 .546 .630 .533 .009 .849 .003 .138 .096 .122 .144 .019 .138 .582 .027 .337 .533 .219 .116 .969 .670 .096 .366 .121 .337 .943 .219 .337 .943 .497 .219 .193

.211 .116 .122 .049 .002 .193 .366 .943 .670 .943 .324 .027 .497 .211 .742 .122 .366

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q34 Pear

son

Corr

elati

on

-.120 .408* -.059 -.120 .204 .000 -.059 .073 .178 .204 -.050 .111 .073 .248 .000 .000 -.120 .348 -.048 .370 .385 .178 .265 -.120 .000 .098 .149 .000 -.098 -.145 -.248 .192 .265 1 -.296 .204 -.145 .338 .385 .265 .098 -.192 .293 -.159 .348 -.241 .556

*

*

-.248 .408* .053

Sig.

(2-

taile

d)

.575 .048 .783 .575 .339 1.00

0

.783 .736 .406 .339 .818 .605 .736 .242 1.00

0

1.00

0

.575 .096 .823 .075 .063 .406 .211 .575 1.00

0

.650 .487 1.00

0

.650 .500 .242 .368 .211

.160 .339 .500 .106 .063 .211 .650 .368 .165 .459 .096 .256 .005 .242 .048 .806

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q35 Pear

son

Corr

elati

on

-.107 -.145 .242 -.107 -.145 .046 -.011 .116 -.011 .073 .026 -.059 -.194 -.026 -.229 .046 -.107 .026 .266 .103 .513* .242 -.103 -.107 .321 .191 -.185 .046 .191 .146 .026 -.308 -.329 -.296 1 .290 .352 -.146 -.103 -.103 .225 .103 -.399 .122 -.397 .266 -.059 .026 .073 -.103

Sig.

(2-

taile

d)

.619 .499 .254 .619 .499 .831 .961 .588 .961 .736 .902 .783 .364 .902 .281 .831 .619 .902 .209 .630 .010 .254 .630 .619 .126 .372 .386 .831 .372 .496 .902 .143 .116 .160

.169 .092 .496 .633 .630 .289 .633 .054 .569 .055 .209 .783 .902 .736 .630

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q36 Pear

son

Corr

elati

on

.295 .063 .073 -.147 .063 -.079 .073 .267 .290 .250 -.183 .408* .535

*

*

.183 .158 .158 -.147 .548*

*

-.059 .259 .530*

*

.290 .519*

*

-.147 .632*

*

-.060 .183 .158 .120 -.118 -.183 .000 .324 .204 .290 1 -.118 .118 .354 .130 .239 -.177 -.120 -.259 .183 .118 .612*

*

-.183 .625*

*

-.065

Sig.

(2-

taile

d)

.162 .772 .736 .492 .772 .713 .736 .207 .169 .239 .393 .048 .007 .393 .461 .461 .492 .006 .784 .221 .008 .169 .009 .492 .001 .781 .393 .461 .578 .582 .393 1.00

0

.122 .339 .169

.582 .582 .090 .546 .261 .409 .578 .221 .393 .582 .001 .393 .001 .763

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q37 Pear

son

Corr

elati

on

-.192 .237 -.060 -.192 -.118 -.187 -.060 -.095 -.266 -.118 -.022 .048 -.095 .367 -.187 -.187 -.192 -.367 .343 .222 .084 .146 .146 -.192 -.187 .240 -.194 .037 .071 .329 -.022 .084 -

.406*

-.145 .352 -.118 1 -.329 -.251 -.038 .269 -.251 .269 -.038 -.022 .175 .048 -.194 .059 .330

Sig.

(2-

taile

d)

.369 .266 .780 .369 .582 .382 .780 .659 .209 .582 .920 .823 .659 .078 .382 .382 .369 .078 .101 .296 .698 .496 .497 .369 .382 .258 .363 .862 .743 .117 .920 .698 .049 .500 .092 .582

.117 .237 .859 .204 .237 .204 .859 .920 .414 .823 .363 .784 .116

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q38 Pear

son

Corr

elati

on

.192 .118 -.146 -.227 .473* -.262 .472

* .348 .060 .118 .022 .145 .095 .324 .187 .187 .192 .367 -.343 -.038 .084 .266 .038 .192 .187 -.240 .367 -.037 -.240 .007 .367 .084 .590

*

*

.338 -.146 .118 -.329 1 .251 .222 .071 .084 -.099 -.330 .367 -.175 -.048 .367 .118 .222

Sig.

(2-

taile

d)

.369 .582 .496 .287 .020 .217 .020 .096 .780 .582 .920 .500 .659 .123 .382 .382 .369 .078 .101 .859 .698 .209 .859 .369 .382 .258 .078 .862 .258 .974 .078 .698 .002 .106 .496 .582 .117

.237 .296 .743 .698 .646 .116 .078 .414 .823 .078 .582 .296

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q39 Pear

son

Corr

elati

on

.209 .530*

*

.103 -.209 .000 .000 -.103 .126 .308 .354 -.258 .000 .126 .258 .000 .000 -.209 .258 .084 .275 .167 .103 .458* .209 .447

* -.169 .086 .224 -.169 .251 -.258 .167 .275 .385 -.103 .354 -.251 .251 1 .275 .338 -.167 .169 -.275 .258 -.251 .385 -.086 .177 .275

Sig.

(2-

taile

d)

.328 .008 .633 .328 1.00

0

1.00

0

.633 .557 .143 .090 .223 1.00

0

.557 .223 1.00

0

1.00

0

.328 .223 .698 .193 .436 .633 .024 .328 .028 .430 .689 .294 .430 .237 .223 .436 .193 .063 .633 .090 .237 .237

.193 .106 .436 .430 .193 .223 .237 .063 .689 .409 .193

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q40 Pear

son

Corr

elati

on

.325 .130 .122 -.134 .130 -.041 .122 .312 .122 -.065 -.118 .053 .035 .118 .205 .451* -.134 .071 -.146 .210 .275 .122 .193 -.134 .205 .387 .260 -.041 .201 .146 .071 .275 .193 .265 -.103 .130 -.038 .222 .275 1 -.387 .275 -.201 -

.412*

.260 .038 .265 .260 -.065 .597**

Sig.

(2-

taile

d)

.121 .546 .569 .533 .546 .849 .569 .138 .569 .763 .582 .806 .872 .582 .337 .027 .533 .742 .497 .324 .193 .569 .366 .533 .337 .061 .219 .849 .345 .497 .742 .193 .366 .211 .630 .546 .859 .296 .193

.061 .193 .345 .046 .219 .859 .211 .219 .763 .002

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q41 Pear

son

Corr

elati

on

-.247 .418* -.191 -.247 .060 -.076 -.191 -.192 .017 .239 -.044 .098 .064 .393 -.076 -

.529*

*

-.247 -.044 .240 .201 .000 .225 .356 .176 -.076 -.314 .131 .151 -.314 .099 -.218 .000 -.015 .098 .225 .239 .269 .071 .338 -.387 1 -

.676*

*

.314 .170 .131 -.269 .098 -.218 .418* -.201

Sig.

(2-

taile

d)

.245 .042 .372 .245 .781 .726 .372 .370 .936 .261 .840 .650 .767 .058 .726 .008 .245 .840 .258 .345 1.00

0

.289 .087 .410 .726 .135 .542 .481 .135 .646 .306 1.00

0

.943 .650 .289 .261 .204 .743 .106 .061

.000 .135 .426 .542 .204 .650 .306 .042 .345

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q42 Pear

son

Corr

elati

on

.209 -

.530*

*

.103 .209 .000 .224 .103 .126 .103 .000 -.258 .000 -.126 -

.430*

.000 .447* .209 .086 -.084 -.092 .167 -.308 -

.458*

.209 .224 .338 -.086 .000 .000 .084 .086 .000 .092 -.192 .103 -.177 -.251 .084 -.167 .275 -

.676*

*

1 -

.507*

-.092 -

.430*

.418* -.192 .258 -.354 .092

Sig.

(2-

taile

d)

.328 .008 .633 .328 1.00

0

.294 .633 .557 .633 1.00

0

.223 1.00

0

.557 .036 1.00

0

.028 .328 .689 .698 .670 .436 .143 .024 .328 .294 .106 .689 1.00

0

1.00

0

.698 .689 1.00

0

.670 .368 .633 .409 .237 .698 .436 .193 .000

.011 .670 .036 .042 .368 .223 .090 .670

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q43 Pear

son

Corr

elati

on

-.247 .598*

*

.017 .176 .060 -.076 .017 -.192 -.191 -.120 -.044 -.098 .064 .218 -.076 -.302 -.247 -.044 .240 .201 -.169 .225 .356 -.247 -.302 -.143 .131 -.076 -.143 .099 -.393 .169 -.015 .293 -.399 -.120 .269 -.099 .169 -.201 .314 -

.507*

1 -.201 .131 -.099 .293 -.044 .060 -.015

Sig.

(2-

taile

d)

.245 .002 .936 .410 .781 .726 .936 .370 .372 .578 .840 .650 .767 .306 .726 .151 .245 .840 .258 .345 .430 .289 .087 .245 .151 .505 .542 .726 .505 .646 .058 .430 .943 .165 .054 .578 .204 .646 .430 .345 .135 .011

.345 .542 .646 .165 .840 .781 .943

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q44 Pear

son

Corr

elati

on

-.134 -

.454*

.122 .325 .130 .451* -.329 -.243 .122 .324 .071 -.159 -.243 -.260 -.287 -.041 -.134 -.118 -.146 -.193 .092 -.329 -

.412*

.325 -.287 -.170 -.118 -.041 -.170 -.038 .071 -

.458*

-.210 -.159 .122 -.259 -.038 -.330 -.275 -

.412*

.170 -.092 -.201 1 -.118 .038 -.370 -.308 .130 -.412*

Sig.

(2-

taile

d)

.533 .026 .569 .121 .546 .027 .116 .253 .569 .122 .742 .459 .253 .219 .174 .849 .533 .582 .497 .366 .670 .116 .046 .121 .174 .426 .582 .849 .426 .859 .742 .024 .324 .459 .569 .221 .859 .116 .193 .046 .426 .670 .345

.582 .859 .075 .144 .546 .046

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q45 Pear

son

Corr

elati

on

.269 .365 -.185 -.162 .365 -.115 .238 .228 .238 .183 -.067 .348 .228 .244 .346 .115 -.162 .289 -.151 .308 .086 .238 .450* -.162 .115 -.131 .467

* .346 .044 .151 .111 .086 .450

* .348 -.397 .183 -.022 .367 .258 .260 .131 -

.430*

.131 -.118 1 -

.497*

.149 -.067 .183 .450*

Sig.

(2-

taile

d)

.203 .079 .386 .451 .079 .591 .262 .285 .262 .393 .757 .096 .285 .250 .097 .591 .451 .171 .481 .144 .689 .262 .027 .451 .591 .542 .022 .097 .840 .481 .605 .689 .027 .096 .055 .393 .920 .078 .223 .219 .542 .036 .542 .582

.014 .487 .757 .393 .027

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q46 Pear

son

Corr

elati

on

.192 -

.414*

.060 .192 .118 -.262 .060 .095 -.352 -.059 .022 -.241 .095 -.022 -.037 .187 -.227 .022 -.007 -.038 .251 -.146 -.330 .192 .187 .099 .022 -.262 .099 .007 -.151 .084 -.146 -.241 .266 .118 .175 -.175 -.251 .038 -.269 .418* -.099 .038 -

.497*

1 -.048 .194 .118 -.146

Sig.

(2-

taile

d)

.369 .044 .780 .369 .582 .217 .780 .659 .092 .784 .920 .256 .659 .920 .862 .382 .287 .920 .974 .859 .237 .496 .116 .369 .382 .646 .920 .217 .646 .974 .481 .698 .497 .256 .209 .582 .414 .414 .237 .859 .204 .042 .646 .859 .014

.823 .363 .582 .497

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q47 Pear

son

Corr

elati

on

-.120 .408* .178 -.120 .000 .000 -.059 .073 .178 .204 -.248 .333 .364 .248 .000 .000 -.120 .348 -.048 .159 .385 .415

* .688

*

*

-.120 .258 .098 -.050 .000 .098 .048 -.248 .000 .265 .556*

*

-.059 .612*

*

.048 -.048 .385 .265 .098 -.192 .293 -.370 .149 -.048 1 -

.447*

.612*

*

.053

Sig.

(2-

taile

d)

.575 .048 .406 .575 1.00

0

1.00

0

.783 .736 .406 .339 .242 .111 .081 .242 1.00

0

1.00

0

.575 .096 .823 .459 .063 .044 .000 .575 .223 .650 .818 1.00

0

.650 .823 .242 1.00

0

.211 .005 .783 .001 .823 .823 .063 .211 .650 .368 .165 .075 .487 .823

.028 .001 .806

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q48 Pear

son

Corr

elati

on

.269 .000 .026 .269 .183 -.115 .450* .228 -.185 -.365 .111 -.050 -.033 -.111 .346 .346 -.162 -.067 .194 .118 -.086 .026 -.308 -.162 .115 -.131 .467

* -.115 -.131 .151 .111 .086 .071 -.248 .026 -.183 -.194 .367 -.086 .260 -.218 .258 -.044 -.308 -.067 .194 -

.447*

1 -

.548*

*

.260

Sig.

(2-

taile

d)

.203 1.00

0

.902 .203 .393 .591 .027 .285 .386 .079 .605 .818 .880 .605 .097 .097 .451 .757 .363 .582 .689 .902 .144 .451 .591 .542 .022 .591 .542 .481 .605 .689 .742 .242 .902 .393 .363 .078 .689 .219 .306 .223 .840 .144 .757 .363 .028

.006 .219

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q49 Pear

son

Corr

elati

on

-.147 .063 .073 -.147 .250 -.079 -.145 .000 .073 .438* .000 .204 .267 .365 -.079 -.079 -.147 .365 -.237 .065 .354 .290 .519

*

*

.295 .158 -.060 .000 -.079 .120 -.118 .000 -.177 .324 .408* .073 .625

*

*

.059 .118 .177 -.065 .418* -.354 .060 .130 .183 .118 .612

*

*

-

.548*

*

1 -.259

Sig.

(2-

taile

d)

.492 .772 .736 .492 .239 .713 .499 1.00

0

.736 .033 1.00

0

.339 .207 .079 .713 .713 .492 .079 .266 .763 .090 .169 .009 .162 .461 .781 1.00

0

.713 .578 .582 1.00

0

.409 .122 .048 .736 .001 .784 .582 .409 .763 .042 .090 .781 .546 .393 .582 .001 .006

.221

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

Q50 Pear

son

Corr

elati

on

.325 .324 .122 -.134 .130 -.041 .348 .312 .122 -.065 -.308 .265 .035 .308 .205 .451* -.134 -.118 .038 .210 .092 .122 .193 -.134 .205 .201 .071 .205 .015 .514

* .260 .092 .193 .053 -.103 -.065 .330 .222 .275 .597

*

*

-.201 .092 -.015 -

.412*

.450* -.146 .053 .260 -.259 1

Sig.

(2-

taile

d)

.121 .122 .569 .533 .546 .849 .096 .138 .569 .763 .144 .211 .872 .144 .337 .027 .533 .582 .859 .324 .670 .569 .366 .533 .337 .345 .742 .337 .943 .010 .219 .670 .366 .806 .630 .763 .116 .296 .193 .002 .345 .670 .943 .046 .027 .497 .806 .219 .221

N 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24

RPP CONTROL GROUP AND EXPERIMENT GROUP

RENCANA PELAKSANAAN PEMBELAJARAN (RPP)

CONTROL GROUP

Nama : Anisa Rachman

Sekolah : MTs Darul Ulum Purwogondo

Kelas/Semester : VIII / Genap

Mata Pelajaran : Bahasa Inggris

Materi Pokok : Narrative text

Alokasi Waktu : 2x 45 menit

A. Kompetensi inti

1. Menghargai dan menghayati ajaran agama yang dianutnya.

2. Menghargai dan menghayati perilaku jujur, disiplin, tanggungjawab, peduli

(toleransi, gotong royong), santun, percaya diri, dalam jangkauan pergaulan dan

keberadaannya.

3. Memahami dan menerapkan pengetahuan (faktual, konseptual dan prosedural)

berdasarkan rasa ingin tahu tentang ilmu pengetahuan, teknologi, seni, budaya terkait

fenomena dan kejadian tampak mata.

4. Mengolah, menyaji dan menalar dalam ranah abstrak (menulis,membaca,

menghitung, menggambar, dan mengarang) sesuai dengan yang dipelajari di sekolah

dan sumber lain yang sama dalam sudut pandang/teori.

B. Kompetensi Dasar

1. Mensyukuri kesempatan dapat mempelajari bahasa inggris sebagai bahasa pengantar

komunikasi Internasional yang diwujudkan dalam semangat belajar menunjukkan

perilaku santun dan peduli dalam melaksanakan komunikasi interprsonal dengan guru

dan teman.

2. Menerapkan struktur teks dan unsur kebahasaan untuk melakukan fungsi sosial

narrative teks dengan menyatakan dan menanyakan tentang narrative teks sesuai

dengan konteks penggunaannya.

3. Menangkap makna teks narrative teks lisan dan tulis, pendek dan sederhana dengan

memperhatikan fungsi sosial, struktur teks, dan unsur kebahasaan yang benar dan

sesuai konteks.

C. Indikator

1. Memahami fungsi teks narrative.

2. Memahami struktur dari teks narrative

3. Memahami pola kalimat using action verb, Using adverb of time in beginning of

sentence, Using conjunction, and using Simple Past Tense

4. Membuat contoh teks narrative sederhana dengan jelas dan benar

D. Tujuan Pembelajaran

Setelah mengikuti serangkaian proses belajar mengajar, 75% siswa diharapkan mampu:

1. Memahami fungsi teks narrative.

2. Memahami pola kalimat using action verb, Using adverb of time in beginning of

sentence, Using conjunction, and using Simple Past Tense

3. Membuat contoh teks narrative sederhana dengan jelas dan benar

E. Materi Pembelajaran

Terlampir

F. Metode Pembelajaran

Metode : Numbered heads together technique

G. Media, Alat, dan Sumber Pembelajaran

1. Alat: Papan tulis, spidol

2. Sumber :

Buku paket/modul

H. Langkah-Langkah Kegiatan Pembelajaran

KEGIATAN DESKRIPSI KEGIATAN

Pembukaan 1. Guru masuk kelas dengan salam dan menyapa

siswa.

2. Guru menanyakan kabar siswa.

3. Guru mengechek kehadiran siswa.

4. Guru meminta siswa untuk berdoa sebelum belajar

dengan “Basmalah”.

5. Guru mengantarkan siswa pada suatu permasalahan

yang terkait dengan materi yang akan dipelajari.

6. Guru menanyakan materi terakhir pada pertemuan

terakhir

Inti 1. Mengamati

Guru memberikan stimulus kepada siswa

dengan bertanya tentang cerita atau film yang

bersangkutan dengan materi

Guru mendemonstrasikan obyek belajar yang

menarik sehinnga siswa terpancing untuk

bertanya.

Guru memberikan penjelasan tentang materi

yang akan dipelajari

Guru meminta siswa untuk mencatat apa

yang dijelaskan oleh guru

2. Menanya

Guru memberi pertanyaan maka siswa akan

lebih aktif dan dapat berusaha lebih giat lagi

untuk menjawab pertanyaan seorang guru

tersebut dengan benar,maka dengan menanya

seorang siswa akan berusaha lagi.

Guru memberikan kesempatan kepada siswa

untuk bertanya

3. Mencoba

Guru membagi siswa menjadi 4-5 kelompok.

Guru meminta siswa untuk berdiskusi dengan

kelompoknya.

Guru memberikan nomer di setiap murid

secara acak.

Setelah seelesai berdiskusi guru memberikan

pertanyaan secara acak.

Siswa menjawab secara cepat nomer yang di

sebutkan guru.

4. Mengasosiasi

Mengolah informasi yang sudah

dikumpulkan baik terbatas dari hasil kegiatan

mengumpulkan/eksperimen maupun hasil dari

kegiatan mengamati dan kegiatan

mengumpulkan informasi.

Penutup 1. Guru melakukan refleksi pada siswa dengan

bertanya tentang perasaan siswa setalah melakukan

kegiatan belajar.

2. Guru memberikan kesempatan pada siswa untuk

bertanya tentang hal yang belum dimengerti.

3. Guru memberikan tugas pada siswa.

4. Guru memberikan motivasi pada siswa dan menutup

kegiatan belajar dengan “Hamdalah” dan salam

Lampiran

The definition of narrative text

Narrative text is text that tell about fabel, fairy tale, fiction, and legend to entertain

the reader.

The purpose of narrative text

The Purpose of Narrative Text is to entertain the reader with a story.

Type of narrative text

1) Legend

2) Fable

3) Fairy tale

4) Science fiction

Generic Structures of Narrative Text

1) Orientation

Where the writer start to introduce the story and actor or participant that involved in

the story

2) Complication

Tells the beginning of the problems which leads to the crisis (climax) of the main

participants. And also the writer start show the problem in the story

3) Resolution

Solve the problem or where the writer give the solution and also can contains

closing. In this step the writer can give ending story sad or happy.

4) Re-orientation/Coda

This is a closing remark to the story and it is optional. It consists of a moral

lesson, advice or teaching from the writer

Language Features of Narrative

Using Simple Past Tense

Using adverb of time in beginning sentence

Using action verb

Using conjunction

PENILAIAN

1. Teknik : Tes Tulis, Observasi

2. Bentuk : Uraian

3. Instrumen Penilaian

a. Penilaian Sikap (Afektif)

No

Nama

Siswa/

Kelompok

Jujur Tanggung

Jawab Disiplin Santun Nilai

Akhir 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4

1.

2.

Dst

Keterangan :

4 = jika empat indikator terlihat.

3 = jika tiga indikator terlihat.

2 = jika dua indikator terlihat.

1 = jika satu indikator terlihat.

Indikator Penilaian Sikap :

Disiplin :

a. Tertib mengikuti instruksi

b. Mengerjakan tugas tepat waktu

c. Tidak melakukan kegiatan yang tidak diminta

d. Tidak membuat kondisi kelas menjadi tidak kondusif

Jujur :

a. Menyampaikan sesuatu berdasarkan keadaan yang sebenarnya

b. Tidak menutupi kesalahan yang terjadi

c. Tidak mencontek atau melihat data / pekerjaan orang lain

d. Mencantumkan sumber belajar dari yang dikutip/dipelajari

Tanggung Jawab :

a Pelaksanaan tugas piket secara teratur.

b Peran serta aktif dalam kegiatan diskusi kelompok

c Mengajukan usul pemecahan masalah.

d Mengerjakan tugas sesuai yang ditugaskan

Santun :

a. Berinteraksi dengan teman secara ramah

b. Berkomunikasi dengan bahasa yang tidak menyinggung perasaan

c. Menggunakan bahasa tubuh yang bersahabat

d. Berperilaku sopan

Nilai akhir sikap diperoleh dari modus (skor yang paling sering muncul) dari keempat

aspek sikap di atas.

Kategori nilai sikap:

a. Sangat baik jika memperoleh nilai akhir 4

b. Baik jika memperoleh nilai akhir 3

c. Cukup jika memperoleh nilai akhir 2

d. Kurang jika memperoleh nilai akhir 1

b. Penilaian Proses (Keterampilan)

No Nama

Siswa

Aspek yang dinilai Nilai

akhir Menga

mati

(10%)

Menan

ya

(10%)

Mengum

pulkan

data

(20%)

Mengasosi

asi (45%)

Mengkomunik

asikan (15%)

1

2

3

Indikator Penilaian Keterampilan

Aspek Skor Kriteria

Mengamati

4

3

2

1

Menanya 4

3

2

1

Mengumpulkan data

4

3

2

1

Mengasosiasi 4

3

2

1

Mengkomunikasikan 4

Aspek Skor Kriteria

3

2

1

Pengolahan Nilai

Nilai Akhir Maksimal = (4x10)+(4x10)+(4x20)+(4X45)+(4X15) = 100 = 4

Nilai total adalah penjumlah nilai dari kelima aspek (Persiapan, Proses, Hasil

Kerja, Sikap dan waktu ). Nilai total dalam bentuk ratusan dikonversi kedalam

bentuk 1 s.d. 4

No Nama Siswa Nilai Ulangan/UTS/UAS Rata-Rata

UH UH UTS UH UH UAS Jumlah

1

2

3

Jepara, 9 Juli 2019

Mengetahui,

Guru Pamong, Mahasiswa,

Noor Saidah, S.Pd Anisa Rachman

NIP. NIP.

RENCANA PELAKSANAAN PEMBELAJARAN (RPP)

EXPERIMENT GROUP

Nama : Anisa Rachman

Sekolah : MTs. Darul Ulum Purwogondo

Kelas/Semester : VIII/Genap

Mata Pelajaran : Bahasa Inggris

Materi Pokok : Narrative text

Alokasi Waktu : 2x 45 menit

1. Kompetensi inti

1. Menghargai dan menghayati ajaran agama yang dianutnya.

2. Menghargai dan menghayati perilaku jujur, disiplin, tanggungjawab, peduli (toleransi,

gotong royong), santun, percaya diri, dalam jangkauan pergaulan dan keberadaannya.

3. Memahami dan menerapkan pengetahuan (faktual, konseptual dan prosedural)

berdasarkan rasa ingin tahu tentang ilmu pengetahuan, teknologi, seni, budaya terkait

fenomena dan kejadian tampak mata.

4. Mengolah, menyaji dan menalar dalam ranah abstrak (menulis,membaca, menghitung,

menggambar, dan mengarang) sesuai dengan yang dipelajari di sekolah dan sumber lain

yang sama dalam sudut pandang/teori.

2.Kompetensi Dasar

1. Mensyukuri kesempatan dapat mempelajari bahasa inggris sebagai bahasa pengantar

komunikasi Internasional yang diwujudkan dalam semangat belajar menunjukkan perilaku

santun dan peduli dalam melaksanakan komunikasi interprsonal dengan guru dan teman.

2. Menerapkan struktur teks dan unsur kebahasaan untuk melakukan fungsi sosial

narrative teks dengan menyatakan dan menanyakan tentang narrative teks sesuai dengan

konteks penggunaannya.

3. Menangkap makna teks narrative teks lisan dan tulis, pendek dan sederhana dengan

memperhatikan fungsi sosial, struktur teks, dan unsur kebahasaan yang benar dan sesuai

konteks.

4. Indikator

1.Memahami fungsi teks narrative.

2.Memahami struktur dari teks narrative

3.Memahami pola kalimat using action verb, Using adverb of time in beginning of

sentence, Using conjunction, and using Simple Past Tense

4.Membuat contoh teks narrative sederhana dengan jelas dan benar

5. Tujuan Pembelajaran

Setelah mengikuti serangkaian proses belajar mengajar, 75% siswa diharapkan mampu:

4. Memahami fungsi teks narrative.

5. Memahami pola kalimat using action verb, Using adverb of time in beginning of

sentence, Using conjunction, and using Simple Past Tense

6. Membuat contoh teks narrative sederhana dengan jelas dan benar

6. Materi Pembelajaran

Terlampir

7. Metode Pembelajaran

Metode : Numbered head together

8. Media, Alat, dan Sumber Pembelajaran

Alat: Papan tulis, spidol, kertas warna

3. Sumber :

Buku paket/modul

9. Langkah-Langkah Kegiatan Pembelajaran

KEGIATAN DESKRIPSI KEGIATAN

Pembukaan Guru masuk kelas dengan salam dan

menyapa siswa.

Guru menanyakan kabar siswa.

Guru mengechek kehadiran siswa.

Guru meminta siswa untuk berdoa sebelum

belajar dengan “Basmalah”.

Guru mengantarkan siswa pada suatu

permasalahan yang terkait dengan materi

yang akan dipelajari.

Guru menanyakan materi terakhir pada

pertemuan terakhir

Inti Guru masuk kelas dengan salam dan

menyapa siswa.

Guru menanyakan kabar siswa.

Guru mengechek kehadiran siswa.

Guru meminta siswa untuk berdoa sebelum

belajar dengan “Basmalah”.

Guru mengantarkan siswa pada suatu

permasalahan yang terkait dengan materi

yang akan dipelajari.

Guru menanyakan materi terakhir pada

pertemuan terakhir

Penutup 5. Mengamati

Guru memberikan stimulus kepada siswa

dengan bertanya tentang cerita atau film yang

bersangkutan dengan materi

Guru mendemonstrasikan obyek belajar

yang menarik sehinnga siswa terpancing

untuk bertanya.

Guru memberikan penjelasan tentang materi

yang akan dipelajari

Guru meminta siswa untuk mencatat apa

yang dijelaskan oleh guru

6. Menanya

Guru memberi pertanyaan maka siswa akan

lebih aktif dan dapat berusaha lebih giat lagi

untuk menjawab pertanyaan seorang guru

tersebut dengan benar,maka dengan menanya

seorang siswa akan berusaha lagi.

Guru memberikan kesempatan kepada siswa

untuk bertanya

7. Mencoba

Guru membagi siswa menjadi 4-5 kelompok.

Guru meminta siswa untuk berdiskusi dengan

kelompoknya.

Guru memberikan nomer di setiap murid

secara acak.

Setelah seelesai berdiskusi guru memberikan

pertanyaan secara acak.

Siswa menjawab secara cepat nomer yang di

sebutkan guru.

8. Mengasosiasi

Mengolah informasi yang sudah dikumpulkan

baik terbatas dari hasil kegiatan

mengumpulkan/eksperimen maupun hasil dari

kegiatan mengamati dan kegiatan

mengumpulkan informasi.

Lampiran

The definition of narrative text

Narrative text is text that tell about fabel, fairy tale, fiction, and legend to entertain

the reader.

The purpose of narrative text

The Purpose of Narrative Text is to entertain the reader with a story.

Type of narrative text

5) Legend

6) Fable

7) Fairy tale

8) Science fiction

Generic Structures of Narrative Text

5) Orientation

Where the writer start to introduce the story and actor or participant that involved in

the story

6) Complication

Tells the beginning of the problems which leads to the crisis (climax) of the main

participants. And also the writer start show the problem in the story

7) Resolution

Solve the problem or where the writer give the solution and also can contains

closing. In this step the writer can give ending story sad or happy.

8) Re-orientation/Coda

This is a closing remark to the story and it is optional. It consists of a moral

lesson, advice or teaching from the writer

Language Features of Narrative

Using Simple Past Tense

Using adverb of time in beginning sentence

Using action verb

Using conjunction

PENILAIAN

4. Teknik : Tes Tulis, Observasi

5. Bentuk : Uraian

6. Instrumen Penilaian

a. Penilaian Sikap (Afektif)

No

Nama

Siswa/

Kelompok

Jujur Tanggung

Jawab Disiplin Santun Nilai

Akhir 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4

1.

2.

Dst

Keterangan:

4 = jika empat indikator terlihat.

3 = jika tiga indikator terlihat.

2 = jika dua indikator terlihat.

1 = jika satu indikator terlihat.

Indikator Penilaian Sikap:

Disiplin

a. Tertib mengikuti instruksi

b. Mengerjakan tugas tepat waktu

c. Tidak melakukan kegiatan yang tidak diminta

d. Tidak membuat kondisi kelas menjadi tidak kondusif

Jujur

e. Menyampaikan sesuatu berdasarkan keadaan yang sebenarnya

f. Tidak menutupi kesalahan yang terjadi

g. Tidak mencontek atau melihat data / pekerjaan orang lain

h. Mencantumkan sumber belajar dari yang dikutip/dipelajari

Tanggung Jawab

e Pelaksanaan tugas piket secara teratur.

f Peran serta aktif dalam kegiatan diskusi kelompok

g Mengajukan usul pemecahan masalah.

h Mengerjakan tugas sesuai yang ditugaskan

Santun

e. Berinteraksi dengan teman secara ramah

f. Berkomunikasi dengan bahasa yang tidak menyinggung perasaan

g. Menggunakan bahasa tubuh yang bersahabat

h. Berperilaku sopan

Nilai akhir sikap diperoleh dari modus (skor yang paling sering muncul) dari keempat

aspek sikap di atas.

Kategori nilai sikap:

e. Sangat baik jika memperoleh nilai akhir 4

f. Baik jika memperoleh nilai akhir 3

g. Cukup jika memperoleh nilai akhir 2

h. Kurang jika memperoleh nilai akhir 1

b. Penilaian Proses (Keterampilan)

No Nama

Siswa

Aspek yang dinilai Nilai

akhir Menga

mati

(10%)

Menan

ya

(10%)

Mengum

pulkan

data

(20%)

Mengasosi

asi (45%)

Mengkomunik

asikan (15%)

1

2

3

Indikator Penilaian Keterampilan

Aspek Skor Kriteria

Mengamati

4

3

2

1

Menanya 4

3

2

1

Mengumpulkan data

4

3

2

1

Aspek Skor Kriteria

Mengasosiasi 4

3

2

1

Mengkomunikasikan 4

3

2

1

Pengolahan Nilai

Nilai Akhir Maksimal = (4x10)+(4x10)+(4x20)+(4X45)+(4X15) = 100 = 4

Nilai total adalah penjumlah nilai dari kelima aspek (Persiapan, Proses, Hasil

Kerja, Sikap dan waktu ). Nilai total dalam bentuk ratusan dikonversi kedalam

bentuk 1 s.d. 4

No Nama Siswa Nilai Ulangan/UTS/UAS Rata-Rata

UH UH UTS UH UH UAS Jumlah

1

2

3

Jepara, 9 Juli 2019

Mengetahui,

Guru Pamong, Mahasiswa,

Noor Saidah, S.Pd Anisa Rachman

Name :

Class :

LEMBAR SOAL (PRETEST) TEST MEMBACA NARATIVE TEXT

BAHASA INGGRIS KELAS 8

Petunjukumum

1. Tulislah nama dan kelas pada lembar jawaban yang tersedia

2. Bacalah dengan seksama bacaan yang tersedia

3. Waktu mengerjakan 60 menit

Petunjukkhusus

Berilah tanda silang (x) pada huruf A, B, C, atau D untuk menjawab

pertanyaan dianggap paling benar pada lembar jawaban yang tersedia.

Telaga Warna

Long long ago, there was a kingdom in west java. The kingdom was ruled by a king

named his Majesty Prabu.

Prabu was a kind and wise king. But it was a pity that Prabu and his queen hadn’t got

any children. The queen often cried. That was why Prabu went to jungle. There he prayed to

god every day, begging for a child.

A few months later, the queen got pregnant. Nine months later, a princess was born.

Prabu and Queen loved their beautiful daughter so much. They gave whatever she wanted. It

made Princes turn into a very spoiled girl.

One day, the princess celebrated 17th

birthday party. Many people gathered in the

palace. Then, Prabu took out a necklace which was made from gold and jewel.

“My beloved daughter, today I give you this necklace. Please, wear this necklace” Said

Prabu.

“I don’t want to wear it! It’s ugly!” shouted the princess. Then she threw the necklace. The

beautiful necklace was broken. The gold and jewels were spread out on the floor. Everybody

couldn’t say anything. They never thought that their beloved princess would do that cruel

thing. In their silence, people heard the queen crying. Every woman felt sad and began

crying, too. Then, everybody was crying. Then, there was a miracle. Earth was crying.

Suddenly, from the underground, a spring emerged. It made a pool of water. Soon, the

place became a big lake. The lake finally sank the kingdom.

Nowadays, people called the “Telaga Warna”. It means “lake of color”. On a bright

day, the lake is full of color. These colors come from shadows of forest, and sky around the

lake. But some people said that the colors are the princes’s necklace, which spreads at the

bottom of the lake.

1. Where did the story happened?

a. east java

b. central java

c. north Sumatra

d. west java

2. What is the gift given by the king to the princess in her 17th

birthday?

a. Ring

b. Necklace

c. Bracelet

d. Crown

3. What did Prabu ask the princess to do with the present?

a. To wear

b. To throw away

c. To replace

d. To lose

4. What did the Princess do to the present given by her father?

a. To wear

b. To throw away

c. To replace

d. To lose

5. “… their beloved princess would do that cruel thing.” The underlined word means …

a. Baik

b. Sopan

c. Jahat

d. Lucu

6. “….their beloved princess would do that cruel thing.” The underlined word refers to …

a. Prabu and the Queen

b. People

c. Friends

d. Servants

7. “Suddenly, from the underground, a spring emerged.” The underlined word means …

a. Appear

b. Hide

c. Blow

d. Flew

8. What can you learn from the text?

a. Don’t be an arrogant

b. Don’t be a liar

c. Don’t be a cruel person

d. Don’t be a humble person

The Bears and The Two Travelers

Two men were traveling together when a bear suddenly met them on their path. One of

them quickly climbed up a tree and hid among the branches. The other, feeling that he would

be attacked, fell flat on the ground.

The Bear came up and felt him with his snout, and smelt him all over. The man held his

breath, and pretended to be dead. The Bear soon left him, because it is said that bears will not

touch a dead body. When the Bear was quite gone, the other traveler came down out of the

tree.

With a clever grin he inquired of his friend, “Just what was it that the Bear whispered in

your ear?” His companion replied, “He gives me this advice; Never travel with a friend who

deserts you at the approach of danger”.

9. What can we learn from the story

a. Too easy to find true friends

b. True friends is the one who always supports and stands by you in any stuation

c. True friends who are accompanying in travel

d. True friends are deserts you at the approach of danger

10. “He gives me this advice; Never travel with a friend who deserts you at the approach of

danger”. (Paragraph 3) the underlined word refers to…

a. The bear

b. The dead man

c. The friend who cannot climb

d. The friend who climb the tree

11. Where do you think the story happened?

a. In the river

b. In the park

c. In the woods

d. In the zoo

12. The man on the ground …

a. Went to sleep

b. Held his breath

c. Opened his mouth

d. Eaten by the bear

13. What is the main idea of paragraph 3?

a. Two men were traveling together into the forest

b. Two men met the bear

c. Two men were killed by the bear

d. The man saved from danger

Landi and His Friends

There was a porcupine named Landi. He was lonely. No one wanted to play with him

because they were afraid of his spikes. “Dear Landi, we don’t want to play with you because

your spikes were too sharp. We don’t want you to hurt us”, said Cici the rabbit one day. “Cici

is right, Landi. It is not you are bad or rude to us. No Landi! Just because of your sharp

spikes. They will stab us when we come close to you,” said Tito, the rooster.

Landi felt lonely. He murmured. “Why don’t they want to play with me?” Landi spent

most of the time dreaming at the river bank. “I would have lots of friends and play with them

if no spikes are on my body. I would be happy. I would not be lonely like this. What a

shame!”

Suddenly Kuku the turtle appeared from the river. He came to Landi and said, “Landi,

what are you thinking of?”

“Oh nothing” Landi replied.

“Don’t lie to me, Landi. Please tell me your problem. Maybe, I can help you”, Kuku

said wisely. Then, he sat beside Landi. He wasn’t afraid of Landi’s spikes.

Shortly, Landi told Kuku his problem. Kuku nodded his head. He said, “poor you. But

it is not your fault. I know, your spikes are very useful and helpful to you. Your friends will

realize it someday. Trust me, Landi.”

“Thanks, Kuku. You’re really my best friend. You are the only one here who wants to

be my friend.”

One day, Sam the frog held his birthday party. He invited all his friends, including

Landi. But he didn’t want to come. He didn’t want to mess up the party. “I’ll come with you,

Landi. I’ll tell everyone that you are harmless,” said Kuku. Finally, Landi attended the party.

Everyone enjoyed it. Suddenly, Tito ran here and there screaming. “Help..help…help..! The

evil wolf is coming. Save yourselves!” Then, everyone ran to save their lives, except Kuku

and Landi. Kuku pulled his head and legs into his shell. Landi rolled his body into a ball.

Unintentionally, the evil wolf stepped his foot on Landi. Of course the spikes pricked him.

He screamed, “Ouch!” since his foot was bleeding, he didn’t chase Landi’s friends any

longer. Then, he ran away.

“Horay…horay…horay! Long live Landi! He save our lives,” said Cici and her

friends. Everyone shook Landi’s hand and thanked him. From then on, Landi wasn’t lonely

anymore. Anyone knew that his spikes would not hurt anyone, unless they wanted to hurt

Landi.

14. Which of the following sentences is TRUE according to the text?

a. Koko invited some of his friends to his party.

b. Kuku was afraid of Landi very much.

c. Landi’s friends wanted the wolf to hurt him.

d. Landi’s friends were afraid of his spikes at first.

15. What can we learn from the story above?

a. We should be disappointed to have a bad physical appearance

b. We should not underestimate someone’s bad physical appearance

c. We like someone to ridicule each other

d. We have to help our friends and appreciate them.

16. How many characters are there in the story?

a. Five

b. Four

c. Seven

d. Six

17. “Don’t lie to me”. (Paragraph 7). What does the word “me” refer to?

a. Kuku the turtle

b. Cici the Rabbit

c. Tito the roaster

d. Koko the frog

The Fox and The Crow

One upon a time, there lived an old lady crow who was mean and ugly. One day, Miss

Crow had stolen a big piece of cheese and flew on to a branch to enjoy it.

One the other place, under the tree, a sly creature, Mr. Fox, who wanted the cheese for

himself, came up and spoke politely to her. “Oh. Miss Crow, how beautiful you are! What a

lovely beak, what lovely feathers you have! What pretty eyes! If only you could sing, you

would be the most beautiful bird in the world!” Very pleased to hear all of this about herself,

Miss Crow gave a loud croak to show that she could sing.

Of course, the moment she opened her beak, the cheese fell down, and Mr. Fox ran

away with it, laughing loudly.

18. How many characters are there in the story?

a. Two

b. Three

c. Four

d. Five

19. What is the purpose of the text above?

a. To inform what happened in the past

b. To amuse the readers

c. To tell us how to write a story

d. To give a description of a fox

20. How was the end of the story?

a. The fox and the crow being a friend

b. The crow stole the cheese

c. The fox is arrested by the hunter

d. The crow lost the cheese

The Lamb and The Wolf

One day, the wolf was slaking his thirst at the stream. In the same time, he

see a lamb also drinking at some distance down the stream. Outraged, he growled

“you are muddying my drinking water, now i shall eat you. “

The lamb protested, “but, sir how can i be muddying your drinking water?

Iam further downstream than you are. The water is flowing from your part of the

stream to where iam.

“upstream or downstream, your drinking is muddying my water. And i

shall eat you.” So, saying, the wolf leaped upon the lamb and devoured him.

21. Where did the story happen?

a. On the river

b. In the forest

c. In the jungle

d. At the zoo

22. We can learn from th story that

a. Never drink the river water

b. Do not misuse the power you have

c. Never clean your body on the stream

d. The king will be the winner

23. “...you are muddying my drinking water, now i shall eat you. “ What does the

underlined word refers to?

a. The wolf

b. The lamb

c. The man

d. The writer

24. The following facts which not made the wolf get angry with the lamb is...?

a. The lamb muddying the water

b. The lamb stood at the upstream

c. The lamb drink in the same stream

d. The lamb protested him

25. Iam further downstream than you are. What is the opposite of underlined word?

a. Below

b. Low

c. Clever

d. Upstream

The Lion and The Mouse

Once when a lion was asleep, little mouse began running up and down

upon him. The lion then grabbed the frightened mouse with his huge paws and

opened his mouth to swallow him directly. "Please, King," begged the Mouse,

"Spare me this time and of course I will never forget your kindness. Someday I

may be able to repay you. "The Lion thought that it was such an amusing idea that

he let the poor creature go. Sometimes later the Lion was caught in a net laid by

some hunters. Despite his great strength, the Lion could not break free. Soon the

forest echoed with angry load roars.

The Little Mouse heard the Lion and ran to see what was wrong. As soon

as he succeeded to make the Lion free "There!" said the Mouse proudly, " You

laughed at me when I promised to repay your kindness, but now you know that

even a tiny Mouse can help a mighty Lion."

26. What is the purpose of the text?

a. To describe the lion and the mouse.

b. To entertain the reader

c. To give information about the mouse and the lion

d. To give information about friendship.

27. How many main characters are mentioned in the story?

a. Two

b. Three

c. Four

d. Five

28. What is the moral value of the story?

a. A greedy lion suitable have not a good friend

b. Be patient in every problem

c. Little friends may prove to be great friends.

d. Be smart in everywher

A blind and the Lame Man

Once upon a time there was a blind man who lived in the same

house with a lame man. They were good friends to each other. One day

the blind man said to the lame man, “I can run with my legs, but I

cannot see with my eyes. What will I do, if there is a fire?” the lame

answered “I can see with my eyes, but I can’t run with my legs. If you

can carry me on your back, I can see for you and you can run for me.”

“That’s good idea” said the blind man. “Let’s help each other.” Not

long after this, there was a fire. The blind man carried the lame man on

his back and so they both got out the house.

29. How many characters of this text?

a. One

b. Two

c. Three

d. Four

30. Where did the blind man live? He lives..

a. Alone

b. With the lame man

c. Near the lame man’s house

d. Far away from the lame man’s house

31. “The lame answered “I can see with my eyes, but I can’t run

with my legs.” The opposite of the underlined word is…

a. Gave

b. Asked

c. Responded

d. Interrupted

32. Which statement is true according to the story?

a. The lame was carried the blind man on his back

b. The lame man left the blind man in the fire

c. The lame man was carried by the blind on his back

d. The lame man and the blind man were enemies to each other

The Legend of Sangkuriang

Long time ago in west java, lived a woman named DayangSumbi.

DayangSumbi married with the dog (god generation) and called him

Tumang. DayangSumbi gave birth to a baby named Sangkuriang, but she

never told him who his

father was. Oneday, Sangkuriang was hunting with Tumang in the forest,

and he found nothing. He blamed Tumang for his failure and killed him.

When the DayangSumbi knew that, she hit sangkuriang’s head with a big

spoon and asked him to go.

Many years later, the wandering Sangkurian found a house in the forest,

and an old beautiful woman was in the house. The woman, DayangSumbi

recognized the adventurer as Sangkuriang. Sangkuriang forced her to marry

him and DayangSumbi asked him to make a vast boat in one night. In the

night, Sangkuriang called his friends, ghosts, and forest fairies to help him.

DayangSumbi feared the boat could be finished on time, so she asked

someone nearby to help her. The women hit the grains with grain puncher

to make noise which disturbed the ghosts and the fairies. The ghost and

fairies ran away before completing the boat. Sangkuriang was very angry.

He kicked away the boat upside down, and it turned a mountain called

TangkubanPerahu.

33. Which of the following statement is true according the story?

a. Sangkuriang is a prince

b. DayangSumbi married Tumang because of love

c. Sangkuriang could communication with ghost

d. DayangSumbi finally killed Sangkuriang

34. Who is Tumang?

a. Sangkuriang’s father

b. Sangkuriang’s mother

c. Sangkuriang’s grandfather

d. Sangkuriang’s grandmother

35. DayangSumbirecognized the adventurer as Sangkuriang. What

does the underlined word mean?

a. Respected

b. Identified

c. Admire

Sailors

Long long ago, some sailors set out to sea in their sailing

ship.one of them brought his pet monkey along for the long

journey. When they were far out of sea, a terrible storm overtuned

their ship. Everyone fell into sea, and the monkey was sure that he

would drown.

They soon reached the island and the monkey come down from

the dolphin’s back. The dolphin asked the monkey. “Do you know

this place?” The monkey replied. “ yes, i do. In fact, the king of the

island is my bestfriend. Do you know that i am actually a prince?

The monkey asked” how can I be a king?

As the dolphin started swimming away, he answered. “That is

easy. As you are the only creature in this island you will naturally

be a king.

36. What does the text tell you about?

a. The sailor and their pet

b. The monkey and the dolphins

c. The king and the prince

d. The dolphin and his friends

37. What happened to the sailors ship?

a. The terrible storm overturned

b. It drowned with all her loads

c. It him island under the sea

d. Its machine stopped working

38. What is the dolphin like on the text?

a. A wild creature

b. A helpful animal

c. A good swimmer

d. A nice friend

Cinderella

Once upon a time there was a girl name Cindrella. She lived

with her bad step-mother and two step-sisters.One day the king

invited all the ladies in the kingdom to go to a ball in the palace.

He wanted to find the Crown Prince a wife.The step sisters went to

the ball that night with their mother. Cindrella was left alone. She

cried because she actually wanted to go to the ball, too.Then, a

fairy godmother came with her magic wand. She made up

Cinderella as princess. She told Cindrella to come home before

midnight.

At the ball, Cindrella danced all night with the Prince. The

Prince fell in love with her. At midnight, Cindrella ran home.

Unfortunately, one of her slippers slipped off at the door. She did

not have time to put it back on. The Prince was sad as he could not

find Cindrella again that night.The next day, the Prince and his

men brought along the glass slipper. They went all over the

Kingdom to search for the owner.After searching for along time,

finally, they came to Cindrella’s house. The slipper fit her. The

prince was very happy to find Cindrella again. They got married

and lived ever after.

39. What was there at the palace one day?

a. A game

b. A glassliper

c. Birthday party

d. A ball

40. Why did the king hold the event at his palace?

a. To celebrate his birthday

b. To find the Crown Prince a wife

c. To celebrate his wedding

d. To show give amusement to his guests.

41. How was the end of the story?

a. The prince turned into a horse forever

b. The king gave the kingdom to Cindrella

c. The prince married Cindrella

d. Cindrella was betrayed by the king.

42. “She also gave Cindrella a lovelydress….” (Paragraph 4). The

underlined word has the same meaning with …..

a. Boring

b. Preety

c. Honest

d. Loyal

43. How many antagonist characters in this story?

a. Two

b. Three

c. Four

d. One

e. A fairy

The Ant and the Dove

One hot day, an ant was searching for some water. After

walking around for some time, she come to spring. To reach the

spring she had to climb up a blade of grass. While making her way

up, she slipped and fell into the water.

She could have drowned if a dove up a nearby tree had not

helped her. Seeing that ant was in trouble, the dove quickly

plucked a leaf and dropped it into the water near the struggling ant.

The ant moved towards the leaf and climbed onto it. Soon, it

carried her safety to dry land.

Just at the moment, a hunter nearby was casting his net towards

the dove, hoping to trap it. Guessing what he was about to do, the

ant quickly bit him on the heel. Feeling the pain, the hunter

dropped his net. Quickly the dove flew away to safety.

(Adapted: Seri Pendalaman Materi Bahasa Inggris SMP dan

mts; Titi, Rinawati &Ana)

44. What did the dove do to save the ant?

a. It climbed the nearby tree

b. It saw the ant struggling

c. It dropped a leaf

d. It carried the ant to try to dry land

45. What did the hunter do to the dove?

a. He was hoping to eat it

b. He was trying to trap it

c. He was trying to shoot it

d. He was running towards it

46. What can we learn from the story?

a. One good turns deserve another

b. Don’t be greedy

c. When there is will, there is way

d. It is wise to plan for hard time

A Greedy Dog

A dog once took a large piece of meat from the butcher’s shop.

The butcher did not give it to him. He took it himself. He stole it.

The bad dog ran away with the meat between his teeth. He ran

quickly because he did not want the butcher to catch him and take

the meat away from him. On his way, he came to a river. He went

near it and looked into the water. He saw himself there and with

the piece of meat in his mouth. But, he did not know that it was

himself. “oh no, he said to himself”. “There is another dog with a

nice piece of meat. I want that meat and I want to have it too.” He

opened his mouth to take the other piece of meat. Of course, when

he tried to take the meat, he feels into the river. Instead of getting

the two pieces of meats, the foolish dog got nothing.

47. What is the characteristic of the dog?

a. He is honest

b. He is kind

c. He is loyal

d. He is greedy

48. The butcher did not give it to him. What does the underlined word refer

to?

a. Dog

b. Meal

c. Meat

d. Water

49. The bad dog ran away with the meat between his teeth. “the word

“bad” in this sentence has close meaning with…

a. Ugly

b. Naughty

c. Wild

d. Dishonest

50. The purpose of the text is to…

a. Entertain the readers

b. Persuade the readers

c. Tell the readers

d. Describe the characteristics

Appendix 13

Research Documentation