appendix 1 table 4.2 the realibility computation using
TRANSCRIPT
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