Model Loglinier Tiga Dimensi untuk Mengetahui Hubungan Jalur Masuk, Asal Sekolah, dan Nilai IPK pada Mahasiwa FMIPA Universitas Sumatera Utara

OUTPUT SPSS 16

Lampiran 2. Uji Chi Square

Jenis Jalur Masuk * Asal Daerah Sekolah * Tingkat IPK Crosstabulation

Tingkat IPK

Asal Daerah Sekolah

Total dalam

mebidang luar mebidang

1,50-1,99 Jenis Jalur Masuk

Tertulis Count 1 1 2

Expected

Count .4 1.6 2.0

unggulan sekolah Count 0 3 3

Expected

Count .6 2.4 3.0

Total Count 1 4 5

Expected

Count 1.0 4.0 5.0

2,00-2,49 Jenis Jalur Masuk

Tertulis Count 15 11 26

Expected

Count 12.1 13.9 26.0

unggulan sekolah Count 6 13 19

Expected

Count 8.9 10.1 19.0

Total Count 21 24 45

Expected

Count 21.0 24.0 45.0

2,50-2,99 Jenis Jalur Masuk

Tertulis Count 10 30 40

Expected

Count 7.9 32.1 40.0

unggulan sekolah Count 4 27 31

Expected

Count 6.1 24.9 31.0

Expected

Count 14.0 57.0 71.0

3,00-4,00 Jenis Jalur Masuk

Tertulis Count 25 33 58

Expected

Count 23.9 34.1 58.0

unggulan sekolah Count 20 31 51

Expected

Count 21.1 29.9 51.0

Total Count 45 64 109

Expected

Count 45.0 64.0 109.0

Chi-Square Tests

Tingkat IPK Value df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

1,50-1,99 Pearson Chi-Square 1.875a 1 .171

Continuity Correctionb .052 1 .819

Likelihood Ratio 2.231 1 .135

Fisher's Exact Test .400 .400

Linear-by-Linear

Association 1.500 1 .221

N of Valid Casesb 5

2,00-2,49 Pearson Chi-Square 3.008c 1 .083

Continuity Correctionb 2.050 1 .152

Likelihood Ratio 3.058 1 .080

Fisher's Exact Test .131 .076

Linear-by-Linear

Association 2.941 1 .086

N of Valid Casesb 45

2,50-2,99 Pearson Chi-Square 1.614d 1 .204

Continuity Correctionb .941 1 .332

Likelihood Ratio 1.671 1 .196

Linear-by-Linear

Association 1.592 1 .207

N of Valid Casesb 71

3,00-4,00 Pearson Chi-Square .169e 1 .681

Continuity Correctionb .047 1 .829

Likelihood Ratio .169 1 .681

Fisher's Exact Test .701 .415

Linear-by-Linear

Association .168 1 .682

N of Valid Casesb 109

a. 4 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. b. Computed only for a 2x2 table

c. 0 cells (,0%) have expected count less than 5. The minimum expected count is 8,87. d. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,11. e. 0 cells (,0%) have expected count less than 5. The minimum expected count is 21,06.

Jenis Jalur Masuk * Asal Daerah Sekolah * Tingkat IPK Crosstabulation

Tingkat IPK

Asal Daerah Sekolah

Total dalam

mebidang luar mebidang

0,00-2,49 Jenis Jalur Masuk

Tertulis Count 16 12 28

Expected

Count 12.3 15.7 28.0

unggulan sekolah Count 6 16 22

Expected

Count 9.7 12.3 22.0

Total Count 22 28 50

Expected

Count 22.0 28.0 50.0

2,50-2,99 Jenis Jalur Masuk

Tertulis Count 10 30 40

Expected

Count 7.9 32.1 40.0

Expected

Count 6.1 24.9 31.0

Total Count 14 57 71

Expected

Count 14.0 57.0 71.0

3,00-4,00 Jenis Jalur Masuk

tertulis Count 25 33 58

Expected

Count 23.9 34.1 58.0

unggulan sekolah Count 20 31 51

Expected

Count 21.1 29.9 51.0

Total Count 45 64 109

Expected

Count 45.0 64.0 109.0

Chi-Square Tests

Tingkat IPK Value df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

0,00-2,49 Pearson Chi-Square 4.461a 1 .035

Continuity Correctionb 3.331 1 .068

Likelihood Ratio 4.568 1 .033

Fisher's Exact Test .047 .033

Linear-by-Linear

Association 4.372 1 .037

N of Valid Casesb 50

2,50-2,99 Pearson Chi-Square 1.614c 1 .204

Continuity Correctionb .941 1 .332

Likelihood Ratio 1.671 1 .196

Fisher's Exact Test .242 .166

Linear-by-Linear

Association 1.592 1 .207

N of Valid Casesb 71

3,00-4,00 Pearson Chi-Square .169d 1 .681

Likelihood Ratio .169 1 .681

Fisher's Exact Test .701 .415

Linear-by-Linear

Association .168 1 .682

N of Valid Casesb 109

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 9,68. b. Computed only for a 2x2 table

c. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,11. d. 0 cells (,0%) have expected count less than 5. The minimum expected count is 21,06.

Lampiran 3. Tabel Marginal Statistik Cukup Minimal

Keterangan:

�

=

Jenis jalur masuk dikatagorikan sebagai:

�

1

=

Jalur tertulis

�

2

=

Jalur Unggulan Sekolah

�

=

Asal daerah sekolah SMA atau sederajat dikatagorikan sebagai:

�

1

=

Dalam mebidang

�

2

=

Luar mebidang

�

=

Tingkat IPK dikatagorikan sebagai:

�

1

= 0,00 – 2,49

�

2

= 2,50 – 2,99

�

3

= 3,00 – 4,00

1.

{

�

_�++

}

�

�

1

126 (

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)

�

2

104 (

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2++

)

2.

{

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1

81 (

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2

149 (

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)

3.

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1

50 (

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71 (

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22 (

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14 (

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45 (

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28 (

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57 (

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64 (

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28 (

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40 (

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58 (

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22 (

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31 (

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51 (

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75 (

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OUTPUT SPSS 16

Lampiran 4. Model Loglinier Mutually Independent

(

�

,

�

,

�

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 18.187 7 .011

Pearson Chi-Square 17.152 7 .016

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

Tertulis dalam

mebidang

0,00-2,49 16 7.0% 9.647 4.2% 6.353 2.090 2.453 4.024

2,50-2,99 10 4.3% 13.698 6.0% -3.698 -1.030 -1.241 -2.509

3,00-4,00 25 10.9% 21.029 9.1% 3.971 .908 1.154 2.941

luar mebidang

0,00-2,49 12 5.2% 17.745 7.7% -5.745 -1.420 -1.857 -3.064

2,50-2,99 30 13.0% 25.198 11.0% 4.802 1.014 1.360 3.235

3,00-4,00 33 14.3% 38.684 16.8% -5.684 -1.002 -1.419 -3.239

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 7.962 3.5% -1.962 -.708 -.811 -1.843

2,50-2,99 4 1.7% 11.306 4.9% -7.306 -2.228 -2.614 -2.883

luar mebidang

0,00-2,49 16 7.0% 14.647 6.4% 1.353 .365 .458 1.682

2,50-2,99 27 11.7% 20.798 9.0% 6.202 1.426 1.836 3.754

3,00-4,00 31 13.5% 31.929 13.9% -.929 -.177 -.242 -1.353

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK

Lampiran 5. Model Loglinier Jointly Independent

(

�

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 6.616 5 .251

Pearson Chi-Square 6.419 5 .268

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 12.052 5.2% 3.948 1.168 1.778 3.011

2,50-2,99 10 4.3% 7.670 3.3% 2.330 .856 1.291 2.304

3,00-4,00 25 10.9% 24.652 10.7% .348 .074 .116 .837

luar mebidang

0,00-2,49 12 5.2% 15.339 6.7% -3.339 -.883 -1.353 -2.427

3,00-4,00 33 14.3% 35.061 15.2% -2.061 -.378 -.609 -2.000

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 9.948 4.3% -3.948 -1.280 -1.778 -2.463

2,50-2,99 4 1.7% 6.330 2.8% -2.330 -.939 -1.291 -1.916

3,00-4,00 20 8.7% 20.348 8.8% -.348 -.081 -.116 -.830

luar mebidang

0,00-2,49 16 7.0% 12.661 5.5% 3.339 .965 1.353 2.737

2,50-2,99 27 11.7% 25.774 11.2% 1.226 .256 .376 1.584

3,00-4,00 31 13.5% 28.939 12.6% 2.061 .410 .609 2.065

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK

Lampiran 6. Model Loglinier Jointly Independent

(

��

,

�

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 17.979 5 .003

Pearson Chi-Square 17.043 5 .004

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

2,50-2,99 10 4.3% 14.087 6.1% -4.087 -1.124 -1.489 -2.618

3,00-4,00 25 10.9% 20.426 8.9% 4.574 1.060 1.454 3.179

luar mebidang

0,00-2,49 12 5.2% 18.139 7.9% -6.139 -1.502 -2.592 -3.149

2,50-2,99 30 13.0% 25.913 11.3% 4.087 .852 1.489 2.964

3,00-4,00 33 14.3% 37.574 16.3% -4.574 -.816 -1.454 -2.927

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 7.748 3.4% -1.748 -.639 -.820 -1.752

2,50-2,99 4 1.7% 10.917 4.7% -6.917 -2.145 -2.796 -2.834

3,00-4,00 20 8.7% 17.961 7.8% 2.039 .501 .678 2.074

luar mebidang

0,00-2,49 16 7.0% 14.252 6.2% 1.748 .478 .820 1.924

2,50-2,99 27 11.7% 20.083 8.7% 6.917 1.616 2.796 3.998

3,00-4,00 31 13.5% 33.039 14.4% -2.039 -.383 -.678 -1.987

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK

Lampiran 7. Model Loglinier Jointly Independent

(

��

,

�

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 14.780 6 .022

Pearson Chi-Square 14.256 6 .027

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 11.087 4.8% 4.913 1.512 1.891 3.426

2,50-2,99 10 4.3% 15.743 6.8% -5.743 -1.500 -1.973 -3.013

3,00-4,00 25 10.9% 24.170 10.5% .830 .179 .264 1.300

luar mebidang

0,00-2,49 12 5.2% 16.304 7.1% -4.304 -1.106 -1.468 -2.712

2,50-2,99 30 13.0% 23.152 10.1% 6.848 1.501 2.085 3.943

3,00-4,00 33 14.3% 35.543 15.5% -2.543 -.464 -.717 -2.214

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 6.522 2.8% -.522 -.207 -.248 -1.000

2,50-2,99 4 1.7% 9.261 4.0% -5.261 -1.765 -2.230 -2.592

3,00-4,00 20 8.7% 14.217 6.2% 5.783 1.583 2.267 3.695

luar mebidang

0,00-2,49 16 7.0% 16.087 7.0% -.087 -.022 -.030 -.416

2,50-2,99 27 11.7% 22.843 9.9% 4.157 .916 1.270 3.005

3,00-4,00 31 13.5% 35.070 15.2% -4.070 -.746 -1.150 -2.765

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah

Lampiran 8. Model Loglinier Conditionally Independent

(

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 14.572 4 .006

Pearson Chi-Square 13.908 4 .008

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Jenis_jalur_masuk * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 11.333 4.9% 4.667 1.422 2.037 3.322

2,50-2,99 10 4.3% 16.190 7.0% -6.190 -1.596 -2.414 -3.104

3,00-4,00 25 10.9% 23.476 10.2% 1.524 .332 .555 1.773

luar mebidang

0,00-2,49 12 5.2% 16.667 7.2% -4.667 -1.187 -2.037 -2.808

2,50-2,99 30 13.0% 23.810 10.4% 6.190 1.340 2.414 3.724

3,00-4,00 33 14.3% 34.524 15.0% -1.524 -.281 -.555 -1.726

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 6.346 2.8% -.346 -.139 -.183 -.820

2,50-2,99 4 1.7% 8.942 3.9% -4.942 -1.686 -2.339 -2.537

3,00-4,00 20 8.7% 14.712 6.4% 5.288 1.425 2.290 3.505

luar mebidang

2,50-2,99 27 11.7% 22.058 9.6% 4.942 1.107 2.339 3.304

3,00-4,00 31 13.5% 36.288 15.8% -5.288 -.957 -2.290 -3.125

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Jenis_jalur_masuk * Tingkat_IPK

Lampiran 9. Model Loglinier Conditionally Independent

(

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 6.408 3 .093

Pearson Chi-Square 6.245 3 .100

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 12.320 5.4% 3.680 1.078 2.112 2.892

2,50-2,99 10 4.3% 7.887 3.4% 2.113 .766 1.270 2.179

3,00-4,00 25 10.9% 23.945 10.4% 1.055 .228 .411 1.468

luar mebidang

0,00-2,49

12 5.2% 15.680 6.8% -3.680 -.963 -2.112 -2.534

2,50-2,99 30 13.0% 32.113 14.0% -2.113 -.402 -1.271 -2.021

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 9.680 4.2% -3.680 -1.209 -2.112 -2.396

2,50-2,99 4 1.7% 6.113 2.7% -2.113 -.866 -1.270 -1.842

3,00-4,00 20 8.7% 21.055 9.2% -1.055 -.241 -.411 -1.434

luar mebidang

0,00-2,49 16 7.0% 12.320 5.4% 3.680 1.078 2.112 2.892

2,50-2,99 27 11.7% 24.887 10.8% 2.113 .448 1.271 2.098

3,00-4,00 31 13.5% 29.945 13.0% 1.055 .207 .411 1.465

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK

Lampiran 10. Model Loglinier Conditionally Independent

(

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 3.210 4 .523

Pearson Chi-Square 3.174 4 .529

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 13.852 6.0% 2.148 .595 1.111 2.148

3,00-4,00 25 10.9% 28.333 12.3% -3.333 -.669 -1.544 -2.502

luar mebidang

0,00-2,49 12 5.2% 14.094 6.1% -2.094 -.576 -.878 -1.965

2,50-2,99 30 13.0% 28.691 12.5% 1.309 .261 .441 1.636

3,00-4,00 33 14.3% 32.215 14.0% .785 .149 .260 1.261

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 8.148 3.5% -2.148 -.766 -1.111 -1.916

2,50-2,99 4 1.7% 5.185 2.3% -1.185 -.526 -.721 -1.441

3,00-4,00 20 8.7% 16.667 7.2% 3.333 .848 1.543 2.701

luar mebidang

0,00-2,49 16 7.0% 13.906 6.0% 2.094 .579 .878 2.119

2,50-2,99 27 11.7% 28.309 12.3% -1.309 -.263 -.441 -1.599

3,00-4,00 31 13.5% 31.785 13.8% -.785 -.150 -.260 -1.245

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah

Lampiran 11. Model Loglinier Homogoneous

(

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,

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 2.585 2 .275

Pearson Chi-Square 2.556 2 .279

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 14.008 6.1% 1.992 .549 1.339 2.063

2,50-2,99 10 4.3% 9.388 4.1% .612 .204 .433 1.124

3,00-4,00 25 10.9% 27.605 12.0% -2.605 -.528 -1.517 -2.226

luar mebidang

0,00-2,49 12 5.2% 13.992 6.1% -1.992 -.550 -1.339 -1.920

2,50-2,99 30 13.0% 30.612 13.3% -.612 -.119 -.434 -1.101

3,00-4,00 33 14.3% 30.395 13.2% 2.605 .507 1.516 2.330

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 7.992 3.5% -1.992 -.717 -1.338 -1.855

2,50-2,99 4 1.7% 4.612 2.0% -.612 -.288 -.433 -1.067

3,00-4,00 20 8.7% 17.395 7.6% 2.605 .650 1.516 2.363

luar mebidang

0,00-2,49 16 7.0% 14.008 6.1% 1.992 .549 1.339 2.063

2,50-2,99 27 11.7% 26.388 11.5% .612 .127 .433 1.113

3,00-4,00 31 13.5% 33.605 14.6% -2.605 -.486 -1.516 -2.237

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK

Lampiran 12. Estimasi Parameter

Parameter Estimatesb,c

Parameter Estimate Std. Error Z Sig.

95% Confidence Interval Lower Bound Upper Bound

Constant 3.365 .145 23.282 .000 3.082 3.648

[Jenis_jalur_masuk = 1] .192 .132 1.448 .148 -.068 .452

[Jenis_jalur_masuk = 2] 0a . . . . .

[Asal_daerah_sekolah = 1] -.352 .195 -1.810 .070 -.734 .029

[Asal_daerah_sekolah = 2] 0a . . . . .

[Tingkat_IPK = 1] -.827 .227 -3.648 .000 -1.271 -.383

[Tingkat_IPK = 2] -.116 .182 -.636 .525 -.473 .241

[Tingkat_IPK = 3] 0a . . . . .

[Asal_daerah_sekolah = 1]

* [Tingkat_IPK = 1] .111 .345 .322 .748 -.565 .787

[Asal_daerah_sekolah = 1] * [Tingkat_IPK = 2]

-1.052 .356 -2.953 .003 -1.750 -.354

[Asal_daerah_sekolah = 1]

* [Tingkat_IPK = 3] 0

a

. . . . .

[Asal_daerah_sekolah = 2]

* [Tingkat_IPK = 1] 0

a

. . . . .

[Asal_daerah_sekolah = 2]

* [Tingkat_IPK = 2] 0

a

. . . . .

[Asal_daerah_sekolah = 2]

* [Tingkat_IPK = 3] 0

a

. . . . .

a. This parameter is set to zero because it is redundant. b. Model: Poisson

c. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK

Lampiran 8. Model Loglinier Conditionally Independent (

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 14.572 4 .006

Pearson Chi-Square 13.908 4 .008

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Jenis_jalur_masuk * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 11.333 4.9% 4.667 1.422 2.037 3.322

2,50-2,99 10 4.3% 16.190 7.0% -6.190 -1.596 -2.414 -3.104

3,00-4,00 25 10.9% 23.476 10.2% 1.524 .332 .555 1.773

luar mebidang

0,00-2,49 12 5.2% 16.667 7.2% -4.667 -1.187 -2.037 -2.808

2,50-2,99 30 13.0% 23.810 10.4% 6.190 1.340 2.414 3.724

3,00-4,00 33 14.3% 34.524 15.0% -1.524 -.281 -.555 -1.726

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 6.346 2.8% -.346 -.139 -.183 -.820

2,50-2,99 4 1.7% 8.942 3.9% -4.942 -1.686 -2.339 -2.537

3,00-4,00 20 8.7% 14.712 6.4% 5.288 1.425 2.290 3.505

luar mebidang

2,50-2,99 27 11.7% 22.058 9.6% 4.942 1.107 2.339 3.304

3,00-4,00 31 13.5% 36.288 15.8% -5.288 -.957 -2.290 -3.125

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Jenis_jalur_masuk * Tingkat_IPK

Lampiran 9. Model Loglinier Conditionally Independent (

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 6.408 3 .093

Pearson Chi-Square 6.245 3 .100

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 12.320 5.4% 3.680 1.078 2.112 2.892

2,50-2,99 10 4.3% 7.887 3.4% 2.113 .766 1.270 2.179

3,00-4,00 25 10.9% 23.945 10.4% 1.055 .228 .411 1.468

luar mebidang

0,00-2,49

12 5.2% 15.680 6.8% -3.680 -.963 -2.112 -2.534

2,50-2,99 30 13.0% 32.113 14.0% -2.113 -.402 -1.271 -2.021

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 9.680 4.2% -3.680 -1.209 -2.112 -2.396

2,50-2,99 4 1.7% 6.113 2.7% -2.113 -.866 -1.270 -1.842

3,00-4,00 20 8.7% 21.055 9.2% -1.055 -.241 -.411 -1.434

luar mebidang

0,00-2,49 16 7.0% 12.320 5.4% 3.680 1.078 2.112 2.892

2,50-2,99 27 11.7% 24.887 10.8% 2.113 .448 1.271 2.098

3,00-4,00 31 13.5% 29.945 13.0% 1.055 .207 .411 1.465

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK

Lampiran 10. Model Loglinier Conditionally Independent (

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 3.210 4 .523

Pearson Chi-Square 3.174 4 .529

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 13.852 6.0% 2.148 .595 1.111 2.148

3,00-4,00 25 10.9% 28.333 12.3% -3.333 -.669 -1.544 -2.502

luar mebidang

0,00-2,49 12 5.2% 14.094 6.1% -2.094 -.576 -.878 -1.965

2,50-2,99 30 13.0% 28.691 12.5% 1.309 .261 .441 1.636

3,00-4,00 33 14.3% 32.215 14.0% .785 .149 .260 1.261

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 8.148 3.5% -2.148 -.766 -1.111 -1.916

2,50-2,99 4 1.7% 5.185 2.3% -1.185 -.526 -.721 -1.441

3,00-4,00 20 8.7% 16.667 7.2% 3.333 .848 1.543 2.701

luar mebidang

0,00-2,49 16 7.0% 13.906 6.0% 2.094 .579 .878 2.119

2,50-2,99 27 11.7% 28.309 12.3% -1.309 -.263 -.441 -1.599

3,00-4,00 31 13.5% 31.785 13.8% -.785 -.150 -.260 -1.245

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah

Lampiran 11. Model Loglinier Homogoneous (

��

,

��

,

��

)

Goodness-of-Fit Testsa,b

Value df Sig.

Likelihood Ratio 2.585 2 .275

Pearson Chi-Square 2.556 2 .279

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk +

Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK

Cell Counts and Residualsa,b

Jenis Jalur Masuk

Asal Daerah Sekolah

Tingkat IPK

Observed Expected

Residu al

Standardi zed Residual

Adjusted Residual

Devian ce

Count % Count %

tertulis dalam

mebidang

0,00-2,49 16 7.0% 14.008 6.1% 1.992 .549 1.339 2.063

2,50-2,99 10 4.3% 9.388 4.1% .612 .204 .433 1.124

3,00-4,00 25 10.9% 27.605 12.0% -2.605 -.528 -1.517 -2.226

luar mebidang

0,00-2,49 12 5.2% 13.992 6.1% -1.992 -.550 -1.339 -1.920

2,50-2,99 30 13.0% 30.612 13.3% -.612 -.119 -.434 -1.101

3,00-4,00 33 14.3% 30.395 13.2% 2.605 .507 1.516 2.330

unggulan sekolah

dalam mebidang

0,00-2,49 6 2.6% 7.992 3.5% -1.992 -.717 -1.338 -1.855

2,50-2,99 4 1.7% 4.612 2.0% -.612 -.288 -.433 -1.067

3,00-4,00 20 8.7% 17.395 7.6% 2.605 .650 1.516 2.363

luar mebidang

0,00-2,49 16 7.0% 14.008 6.1% 1.992 .549 1.339 2.063

2,50-2,99 27 11.7% 26.388 11.5% .612 .127 .433 1.113

3,00-4,00 31 13.5% 33.605 14.6% -2.605 -.486 -1.516 -2.237

a. Model: Multinomial

b. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Jenis_jalur_masuk * Asal_daerah_sekolah + Asal_daerah_sekolah * Tingkat_IPK + Jenis_jalur_masuk * Tingkat_IPK

Lampiran 12. Estimasi Parameter

Parameter Estimatesb,c

Parameter Estimate Std. Error Z Sig.

95% Confidence Interval

Lower Bound Upper Bound

Constant 3.365 .145 23.282 .000 3.082 3.648

[Jenis_jalur_masuk = 1] .192 .132 1.448 .148 -.068 .452

[Jenis_jalur_masuk = 2] 0a . . . . .

[Asal_daerah_sekolah = 1] -.352 .195 -1.810 .070 -.734 .029

[Asal_daerah_sekolah = 2] 0a . . . . .

[Tingkat_IPK = 1] -.827 .227 -3.648 .000 -1.271 -.383

[Tingkat_IPK = 2] -.116 .182 -.636 .525 -.473 .241

[Tingkat_IPK = 3] 0a . . . . .

[Asal_daerah_sekolah = 1]

* [Tingkat_IPK = 1] .111 .345 .322 .748 -.565 .787

[Asal_daerah_sekolah = 1] * [Tingkat_IPK = 2]

-1.052 .356 -2.953 .003 -1.750 -.354

[Asal_daerah_sekolah = 1]

* [Tingkat_IPK = 3] 0

a

. . . . .

[Asal_daerah_sekolah = 2]

* [Tingkat_IPK = 1] 0

a

. . . . .

[Asal_daerah_sekolah = 2]

* [Tingkat_IPK = 2] 0

a

. . . . .

[Asal_daerah_sekolah = 2]

* [Tingkat_IPK = 3] 0

a

. . . . .

a. This parameter is set to zero because it is redundant.

b. Model: Poisson

c. Design: Constant + Jenis_jalur_masuk + Asal_daerah_sekolah + Tingkat_IPK + Asal_daerah_sekolah * Tingkat_IPK