# Kajian Metode Suksesif Interval (MSI) dalam Mengubah Data Ordinal Menjadi Interval dan Dampaknya Terhadap Distribusi

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## .

Res

Komitmen

Organisasional Komitmen Profesional Motivasi Kepuasan Kerja

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## Lampiran 2. Hasil transformasi data interval.

Res

Komitmen

Organisasional Komitmen Profesional Motivasi Kepuasan Kerja

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## Lampiran 3. Output SPSS untuk deskriptif data ordinal dan data interval

Median 14.0000 12.0000 20.0000 18.0000

Mode 14.00 12.00 20.00 18.00

Std. Deviation 2.36254 2.54070 2.17324 2.19220

Variance 5.582 6.455 4.723 4.806

Median 12,1230 10,5220 15,4660 13,9355

Mode 9,45a 10,10 15,47 16,08

Std. Deviation 2,63720 2,92408 2,90589 2,55379

Variance 6.955 8.550 8.444 6.522

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## Output SPSS pengujian distribusi normal untuk data ordinal

One-Sample Kolmogorov-Smirnov Test

X1 X2 X3 Y

N 30 30 30 30

Normal Parametersa,,b Mean 14.0667 12.6000 19.0333 18.4333

Std. Deviation 2.36254 2.54070 2.17324 2.19220

Most Extreme

Differences

Absolute .122 .273 .305 .322

Positive .080 .127 .183 .137

Negative -.122 -.273 -.305 -.322

Kolmogorov-Smirnov Z .669 1.497 1.671 1.762

Asymp. Sig. (2-tailed) .763 .023 .008 .004

a. Test distribution is Normal.

b. Calculated from data.

## Output SPSS pengujian distribusi normal untuk data interval

One-Sample Kolmogorov-Smirnov Test

X1 X2 X3 Y

N 30 30 30 30

Normal Parametersa,,b Mean 11.7087 11.0720 14.2937 14.3283

Std. Deviation 2.63561 2.92369 2.90654 2.55214

Most Extreme

Differences

Absolute .117 .236 .290 .264

Positive .090 .097 .152 .114

Negative -.117 -.236 -.290 -.264

Kolmogorov-Smirnov Z .640 1.295 1.591 1.445

Asymp. Sig. (2-tailed) .808 .070 .013 .031

a. Test distribution is Normal.

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Coefficientsa

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## Data Berskala Interval

Coefficients

Model

Collinearity Statistics (Ordinal) Collinearity Statistics (Interval)

Tolerance VIF Tolerance VIF

1 (Constant)

X1 .972 1.029 .970 1.031

X2 .967 1.034 .978 1.022

X3 .992 1.008 .981 1.019

a. Dependent Variable: Y

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