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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.