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BAB IUJI VALIDITAS DAN REABILITAS

A. Uji ReabilitasPada tahap aplikasi uji instrument penelitian dilakukan melalui tahap-tahap sebagai berikut:1. Input Data dalam format SPSS (Nama file: modul 1-uji validitas-reabilitas-pratikum 1-instrumen 2014).

2. Klik pada Analisa dan pilih Scale kemudian klik di reliability analysis.

3. Pindahkan seluruh item pernyataan pada kotak items. Blok seluruh item pernyataan pada kotak sebelah kiri dan pindahkan ke kotak di kanannya. Kotak model ALPHA tetap

4. Selanjutnya pilih kotak Statistics dan pada kotak Descriptives for pilih kotak kecil scale if item deleted, kemudian continue dan OK.

5. Output Validititas dan Reliabilitas Luaran validasi item instrument penelitian dapat dilihat pada kolom corrected item-total correlation pada tabel di bawah ini:Item-Total Statistics

Scale Mean if Item DeletedScale Variance if Item DeletedCorrected Item-Total CorrelationCronbach's Alpha if Item Deleted

p1211,5385377,936-,113,949

p2211,3846376,423,000,949

p3211,5385382,269-,408,950

p4212,0769369,244,376,948

p5211,9231364,410,593,947

p6211,7692368,359,402,948

p7211,6154376,923-,041,949

p8211,8462366,641,479,948

p9212,0000373,833,119,949

p10211,6923373,564,142,949

p11212,0000363,833,638,947

p12212,0000362,833,531,948

p13212,2308366,192,370,948

p14212,0769355,910,846,946

p15212,0000375,333,042,949

p16211,8462358,474,517,948

p17212,5385375,603,024,949

p18211,8462369,974,310,948

p19211,7692375,692,024,949

p20212,1538367,141,389,948

p21212,0000368,167,260,949

p22212,5385360,436,505,948

p23211,8462359,308,561,947

p24212,1538366,141,352,948

p25212,1538366,308,296,949

p26212,3846353,423,727,947

p27211,7692363,359,663,947

p28211,8462367,308,445,948

p29211,7692365,359,558,948

p30211,7692369,859,324,948

p31211,6923371,064,277,948

p32211,7692374,192,101,949

p33211,8462369,141,352,948

p34211,6923371,064,277,948

p35211,6154369,090,424,948

p36211,5385372,769,242,949

p37211,4615370,269,569,948

p38211,4615370,269,569,948

p39211,7692364,692,593,947

p40211,9231366,744,474,948

p41211,8462358,641,694,947

p42211,6154367,090,544,948

p43211,8462362,808,524,948

p44212,5385380,769-,215,950

p45212,0769354,744,746,946

p46212,0769367,244,486,948

p47212,1538371,474,281,948

p48211,5385366,603,673,947

p49211,6923364,397,643,947

p50211,5385372,603,254,948

p51212,1538367,308,531,948

p52211,6154365,756,624,947

p53211,4615370,269,569,948

p54211,5385366,936,650,948

p55211,4615375,269,100,949

p56211,9231366,244,499,948

p57211,7692367,692,436,948

p58211,7692363,359,663,947

p59211,7692367,692,436,948

p60211,6923365,564,579,948

p61211,5385366,936,650,948

p62211,7692367,192,462,948

p63211,5385366,936,650,948

p64211,9231370,244,296,948

p65213,0000376,000,000,950

p66211,9231366,410,491,948

p67211,6923363,231,708,947

p68211,7692363,692,646,947

p69211,6923363,231,708,947

p70211,5385372,769,242,949

p71211,3846376,423,000,949

p72211,8462379,641-,142,950

p73211,6154364,423,705,947

p74211,6923367,564,468,948

p75211,6154364,423,705,947

p76212,0769351,744,856,946

p77212,4615387,603-,460,952

p78211,9231363,744,627,947

p79211,6154363,256,776,947

p80211,7692359,526,867,947

p81211,7692360,026,647,947

p82211,6154363,256,776,947

p83211,6923360,731,847,947

p84211,5385369,269,321,948

Selanjutnya Reliabilitas instrument penelitian secara keseluruhan dapat dilihat pada nilai Alpha pada tabel dibawah ini:

Reliability [DataSet1] C:\Users\ASUS\Desktop\MODUL 1 -UJI VALIDITAS-RELIABILITAS data Praktikum -1-Instrumen 2013.savScale: Uji Validitas dan Reliabilitas Instrumen Riset 2014Case Processing Summary

N%

CasesValid13100,0

Excludeda0,0

Total13100,0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

Cronbach's AlphaN of Items

,94984

B. Mengetahui Nilai T dan R1. Buka SPSS, buat file baru

2. Isikan nama variabel dengan df

3. Pada data view isikan variabel df dengan nilai 82. Lalu pilih Transform dan compute variabel.

4. Isikan pada kolom target variabel t_0.05 pada level signifikan 95%. Kemudian pada kotak Numeric Expression, ketik rumus IDF.T (0,95,df)

Hasil Output:

COMPUTE t_0.05=IDF.T(0.95,df).EXECUTE.

5. Luaran nilai t dengan nilai df=82, maka di dapat nilai t=1,66, dapat dilihat pada tabel di bawah ini:

6. Langkah selanjutnya mencari nilai r, ulangi kembali dengan transform dan compute variabel. Selanjutnya pada kotak Target Variabel ketik r_0.05 sedangkan pada kotak Numeric Expression ketik rumus t_0.05/SQRT(df+t_0.05**2).

7. Luaran nilai r=0.18, yang dipergunakan sebagai cut of point uji validitas item kuisioner.

C. Uji Validitas dan Reabilitas menggunakan uji one shoot.Pada kolom Corrected Item-Total Correlation Bandingkan dengan tabel r. Apabila lebih besar dari nilai tabel r, maka item dinyatakan valid. Apabila nilai corrected item-total correlation ada yang lebih kecil dari nilai r tabel maka item tidak valid dan sebaiknya di keluarkan dari instrument penelitian.

Tabel 1. Uji Validitas Instrumen Penelitian

No. InstrumenCorrected Item-Total Correlationr table/hit. SpssKesimpulan ValiditasRekomendasi

p1-,1130,18TIDAK VALIDDELETE

p2,000TV

p3-,408TV

p4,376VALID

p5,593V

p6,402V

p7-,041TV

p8,479V

p9,119TV

p10,142TV

p11,638V

p12,531V

p13,370V

p14,846V

p15,042TV

p16,517V

p17,024TV

p18,310V

p19,024TV

p20,389V

p21,260V

p22,505V

p23,561V

p24,352V

p25,296V

p26,727V

p27,663V

p28,445V

p29,558V

p30,324V

p31,277V

p32,101TV

p33,352V

p34,277V

p35,424V

p36,242V

p37,569V

p38,569V

p39,593V

p40,474V

p41,694V

p42,544V

p43,524V

p44-,215TV

p45,746V

p46,486V

p47,281V

p48,673V

p49,643V

p50,254V

p51,531V

p52,624V

p53,569V

p54,650V

p55,100TV

p56,499V

p57,436V

p58,663V

p59,436V

p60,579V

p61,650V

p62,462V

p63,650V

p64,296V

p65,000TV

p66,491V

p67,708V

p68,646V

p69,708V

p70,242V

p71,000TV

p72-,142TV

p73,705V

p74,468V

p75,705V

p76,856V

p77-,460TV

p78,627V

p79,776V

p80,867V

p81,647V

p82,776V

p83,847V

p84,321V

Kesimpulan uji validitas dan reabilitas dengan metode one shoot adalah sebagai berikut:a. Jumlah item instrument riset yang valid (V) adalah sejumlah 68 item.b. Jumlah item instrument riset yang tidak valid (TV) sejumlah 16 item, tidak digunakan dalam penelitian.c. Sehingga jumlah item pernyataan yang digunakan dalam instrument penelitian berjumlah 68 item pernyataan instrument penelitian.

D. Edit DataData yang tidak valid, di delete. Dan dilakukan ulang uji validitas dan reliabilitas sampai semua data pernyataan hasilnya valid.

Data yang sudah valid:

BAB IIUJI CHI SQUARE

1. Input data hasil observasi instrument penelitian di lapangan dalam format SPSS. (file: Modul 2-data Pratikum-2-LBP-Chi-Square-2013)

2. Analisis Deskriptive Statistics dengan Crosstabs.

3. Uji Chi-Square, masukan variabel kategorikal pada kotak row (untuk variabel X) dan kolom (untuk variabel Y).

4. Pilih Statistics,dan klik di kotak chi-square dan contingency coefisien lalu continue.

5. Pilih Cells dan muncul kotak crosstabs, cells display, klik di precentages, row, column, total. Kemudian klik continue.

6. Jika ingin menampilkan bar charts. Klik Display clustered bar charts pada kotak crosstabs.

7. Klik OK

8. Luaran Chi-SquareCrosstabs[DataSet1] C:\Users\ASUS\Desktop\JUMAT-SABTU-S1-CRLS-2014-03-MARET-CAROLUS-S1-jadwal -DIKTAT-SILABUS-kuliah-2014\MODUL 2-data Praktikum-2-LBP- Chi-Square-2013.savCase Processing Summary

Cases

ValidMissingTotal

NPercentNPercentNPercent

JK * katLBP52100,0%00,0%52100,0%

BB * katLBP52100,0%00,0%52100,0%

TB * katLBP52100,0%00,0%52100,0%

IMT * katLBP52100,0%00,0%52100,0%

UMUR * katLBP52100,0%00,0%52100,0%

PDK * katLBP52100,0%00,0%52100,0%

JK * katLBPCrosstab

katLBPTotal

beresiko LBP(0-8)tidak beresiko LBP(9-17)

JKLAKI-LAKICount8614

Expected Count9,24,814,0

% within JK57,1%42,9%100,0%

% within katLBP23,5%33,3%26,9%

% of Total15,4%11,5%26,9%

PEREMPUANCount261238

Expected Count24,813,238,0

% within JK68,4%31,6%100,0%

% within katLBP76,5%66,7%73,1%

% of Total50,0%23,1%73,1%

TotalCount341852

Expected Count34,018,052,0

% within JK65,4%34,6%100,0%

% within katLBP100,0%100,0%100,0%

% of Total65,4%34,6%100,0%

Crosstab

katLBPTotal

beresiko LBP(0-8)tidak beresiko LBP(9-17)

UMURLEBIH DARI SAMA DENGAN 35Count16420

Expected Count13,16,920,0

% within UMUR80,0%20,0%100,0%

% within katLBP47,1%22,2%38,5%

% of Total30,8%7,7%38,5%

KURANG DARI 35Count181432

Expected Count20,911,132,0

% within UMUR56,3%43,8%100,0%

% within katLBP52,9%77,8%61,5%

% of Total34,6%26,9%61,5%

TotalCount341852

Expected Count34,018,052,0

% within UMUR65,4%34,6%100,0%

% within katLBP100,0%100,0%100,0%

% of Total65,4%34,6%100,0%

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)

Pearson Chi-Square,575a1,448

Continuity Correctionb,1851,667

Likelihood Ratio,5641,453

Fisher's Exact Test,519,329

Linear-by-Linear Association,5641,453

N of Valid Cases52

a. 1 cells (25,0%) have expected count less than 5. The minimum expected count is 4,85.

b. Computed only for a 2x2 table

Symmetric Measures

ValueApprox. Sig.

Nominal by NominalContingency Coefficient,105,448

N of Valid Cases52

Risk Estimate

Value95% Confidence Interval

LowerUpper

Odds Ratio for JK (LAKI-LAKI / PEREMPUAN),615,1752,170

For cohort katLBP = beresiko LBP(0-8),835,5051,380

For cohort katLBP = tidak beresiko LBP(9-17)1,357,6322,916

N of Valid Cases52

BB * katLBPCrosstab

katLBPTotal

beresiko LBP(0-8)tidak beresiko LBP(9-17)

BB39Count011

Expected Count,7,31,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

40Count011

Expected Count,7,31,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

42Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

45Count011

Expected Count,7,31,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

47Count213

Expected Count2,01,03,0

% within BB66,7%33,3%100,0%

% within katLBP5,9%5,6%5,8%

% of Total3,8%1,9%5,8%

48Count213

Expected Count2,01,03,0

% within BB66,7%33,3%100,0%

% within katLBP5,9%5,6%5,8%

% of Total3,8%1,9%5,8%

49Count011

Expected Count,7,31,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

50Count303

Expected Count2,01,03,0

% within BB100,0%0,0%100,0%

% within katLBP8,8%0,0%5,8%

% of Total5,8%0,0%5,8%

52Count224

Expected Count2,61,44,0

% within BB50,0%50,0%100,0%

% within katLBP5,9%11,1%7,7%

% of Total3,8%3,8%7,7%

53Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

56Count011

Expected Count,7,31,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

57Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

58Count224

Expected Count2,61,44,0

% within BB50,0%50,0%100,0%

% within katLBP5,9%11,1%7,7%

% of Total3,8%3,8%7,7%

59Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

60Count033

Expected Count2,01,03,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%16,7%5,8%

% of Total0,0%5,8%5,8%

61Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

62Count404

Expected Count2,61,44,0

% within BB100,0%0,0%100,0%

% within katLBP11,8%0,0%7,7%

% of Total7,7%0,0%7,7%

64Count112

Expected Count1,3,72,0

% within BB50,0%50,0%100,0%

% within katLBP2,9%5,6%3,8%

% of Total1,9%1,9%3,8%

65Count011

Expected Count,7,31,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

67Count202

Expected Count1,3,72,0

% within BB100,0%0,0%100,0%

% within katLBP5,9%0,0%3,8%

% of Total3,8%0,0%3,8%

68Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

70Count404

Expected Count2,61,44,0

% within BB100,0%0,0%100,0%

% within katLBP11,8%0,0%7,7%

% of Total7,7%0,0%7,7%

75Count314

Expected Count2,61,44,0

% within BB75,0%25,0%100,0%

% within katLBP8,8%5,6%7,7%

% of Total5,8%1,9%7,7%

76Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

79Count011

Expected Count,7,31,0

% within BB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

80Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

90Count101

Expected Count,7,31,0

% within BB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

TotalCount341852

Expected Count34,018,052,0

% within BB65,4%34,6%100,0%

% within katLBP100,0%100,0%100,0%

% of Total65,4%34,6%100,0%

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square31,749a26,202

Likelihood Ratio41,08426,030

Linear-by-Linear Association3,0131,083

N of Valid Cases52

a. 54 cells (100,0%) have expected count less than 5. The minimum expected count is ,35.

Symmetric Measures

ValueApprox. Sig.

Nominal by NominalContingency Coefficient,616,202

N of Valid Cases52

Risk Estimate

Value

Odds Ratio for BB (39 / 40)a

a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.

TB * katLBPCrosstab

katLBPTotal

beresiko LBP(0-8)tidak beresiko LBP(9-17)

TB145Count101

Expected Count,7,31,0

% within TB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

148Count101

Expected Count,7,31,0

% within TB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

149Count011

Expected Count,7,31,0

% within TB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

150Count10313

Expected Count8,54,513,0

% within TB76,9%23,1%100,0%

% within katLBP29,4%16,7%25,0%

% of Total19,2%5,8%25,0%

151Count101

Expected Count,7,31,0

% within TB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

152Count011

Expected Count,7,31,0

% within TB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

153Count202

Expected Count1,3,72,0

% within TB100,0%0,0%100,0%

% within katLBP5,9%0,0%3,8%

% of Total3,8%0,0%3,8%

154Count112

Expected Count1,3,72,0

% within TB50,0%50,0%100,0%

% within katLBP2,9%5,6%3,8%

% of Total1,9%1,9%3,8%

155Count123

Expected Count2,01,03,0

% within TB33,3%66,7%100,0%

% within katLBP2,9%11,1%5,8%

% of Total1,9%3,8%5,8%

156Count101

Expected Count,7,31,0

% within TB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

157Count404

Expected Count2,61,44,0

% within TB100,0%0,0%100,0%

% within katLBP11,8%0,0%7,7%

% of Total7,7%0,0%7,7%

158Count213

Expected Count2,01,03,0

% within TB66,7%33,3%100,0%

% within katLBP5,9%5,6%5,8%

% of Total3,8%1,9%5,8%

160Count123

Expected Count2,01,03,0

% within TB33,3%66,7%100,0%

% within katLBP2,9%11,1%5,8%

% of Total1,9%3,8%5,8%

162Count213

Expected Count2,01,03,0

% within TB66,7%33,3%100,0%

% within katLBP5,9%5,6%5,8%

% of Total3,8%1,9%5,8%

164Count112

Expected Count1,3,72,0

% within TB50,0%50,0%100,0%

% within katLBP2,9%5,6%3,8%

% of Total1,9%1,9%3,8%

165Count112

Expected Count1,3,72,0

% within TB50,0%50,0%100,0%

% within katLBP2,9%5,6%3,8%

% of Total1,9%1,9%3,8%

167Count011

Expected Count,7,31,0

% within TB0,0%100,0%100,0%

% within katLBP0,0%5,6%1,9%

% of Total0,0%1,9%1,9%

169Count101

Expected Count,7,31,0

% within TB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

170Count224

Expected Count2,61,44,0

% within TB50,0%50,0%100,0%

% within katLBP5,9%11,1%7,7%

% of Total3,8%3,8%7,7%

173Count112

Expected Count1,3,72,0

% within TB50,0%50,0%100,0%

% within katLBP2,9%5,6%3,8%

% of Total1,9%1,9%3,8%

175Count101

Expected Count,7,31,0

% within TB100,0%0,0%100,0%

% within katLBP2,9%0,0%1,9%

% of Total1,9%0,0%1,9%

TotalCount341852

Expected Count34,018,052,0

% within TB65,4%34,6%100,0%

% within katLBP100,0%100,0%100,0%

% of Total65,4%34,6%100,0%

9. 10. Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square16,767a20,668

Likelihood Ratio21,12620,390

Linear-by-Linear Association1,0861,297

N of Valid Cases52

a. 41 cells (97,6%) have expected count less than 5. The minimum expected count is ,35.

11. 12. Symmetric Measures

ValueApprox. Sig.

Nominal by NominalContingency Coefficient,494,668

N of Valid Cases52

13. 14. Risk Estimate

Value

Odds Ratio for TB (145 / 148)a

a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.

15. 16. 17. 18. 19. 20. IMT * katLBP21. 22. Crosstab

katLBPTotal

beresiko LBP(0-8)tidak beresiko LBP(9-17)

IMTLEBIH DARI SAMA DENGAN 30Count14115

Expected Count9,85,215,0

% within IMT93,3%6,7%100,0%

% within katLBP41,2%5,6%28,8%

% of Total26,9%1,9%28,8%

KURANG DARI 30Count201737

Expected Count24,212,837,0

% within IMT54,1%45,9%100,0%

% within katLBP58,8%94,4%71,2%

% of Total38,5%32,7%71,2%

TotalCount341852

Expected Count34,018,052,0

% within IMT65,4%34,6%100,0%

% within katLBP100,0%100,0%100,0%

% of Total65,4%34,6%100,0%

23. 24. Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)

Pearson Chi-Square7,276a1,007

Continuity Correctionb5,6441,018

Likelihood Ratio8,6861,003

Fisher's Exact Test,009,006

Linear-by-Linear Association7,1361,008

N of Valid Cases52

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 5,19.

b. Computed only for a 2x2 table

25. 26. Symmetric Measures

ValueApprox. Sig.

Nominal by NominalContingency Coefficient,350,007

N of Valid Cases52

27. 28. Risk Estimate

Value95% Confidence Interval

LowerUpper

Odds Ratio for IMT (LEBIH DARI SAMA DENGAN 30 / KURANG DARI 30)11,9001,415100,066

For cohort katLBP = beresiko LBP(0-8)1,7271,2462,393

For cohort katLBP = tidak beresiko LBP(9-17),145,021,995

N of Valid Cases52

29. 30. 31. 32. 33. 34. UMUR * katLBP35. 36. Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)

Pearson Chi-Square3,067a1,080

Continuity Correctionb2,1081,147

Likelihood Ratio3,2071,073

Fisher's Exact Test,133,072

Linear-by-Linear Association3,0081,083

N of Valid Cases52

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,92.

b. Computed only for a 2x2 table

37. 38. Symmetric Measures

ValueApprox. Sig.

Nominal by NominalContingency Coefficient,236,080

N of Valid Cases52

39. 40. Risk Estimate

Value95% Confidence Interval

LowerUpper

Odds Ratio for UMUR (LEBIH DARI SAMA DENGAN 35 / KURANG DARI 35)3,111,84811,408

For cohort katLBP = beresiko LBP(0-8)1,422,9762,071

For cohort katLBP = tidak beresiko LBP(9-17),457,1751,195

N of Valid Cases52

41. 42. 43. 44. 45. 46. PDK * katLBP47. 48. Crosstab

katLBPTotal

beresiko LBP(0-8)tidak beresiko LBP(9-17)

PDKSPKCount14923

Expected Count15,08,023,0

% within PDK60,9%39,1%100,0%

% within katLBP41,2%50,0%44,2%

% of Total26,9%17,3%44,2%

D3Count17724

Expected Count15,78,324,0

% within PDK70,8%29,2%100,0%

% within katLBP50,0%38,9%46,2%

% of Total32,7%13,5%46,2%

S1Count325

Expected Count3,31,75,0

% within PDK60,0%40,0%100,0%

% within katLBP8,8%11,1%9,6%

% of Total5,8%3,8%9,6%

TotalCount341852

Expected Count34,018,052,0

% within PDK65,4%34,6%100,0%

% within katLBP100,0%100,0%100,0%

% of Total65,4%34,6%100,0%

49. 50. Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square,586a2,746

Likelihood Ratio,5902,745

Linear-by-Linear Association,1181,731

N of Valid Cases52

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is 1,73.

51. 52. Symmetric Measures

ValueApprox. Sig.

Nominal by NominalContingency Coefficient,106,746

N of Valid Cases52

53. 54. Risk Estimate

Value

Odds Ratio for PDK (SPK / D3)a

a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.

55. 56. 57. 58.