Fp unsam cara uji-normalitas-data

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Fp unsam cara uji-normalitas-data

  1. 1. Uji Normalitas Data
  2. 2. Kenapa diperlukan?• Untuk menentukan teknik statistik apa yang akan digunakan? – Data berdistribusi tidak normal  statistik non parametrik (Korelasi Rank Spearman, Korelasi Kendall) – Data berdistribusi normal  statistik parametrik (Korelasi Product Moment/Pearson, Regresi)
  3. 3. Bagaimana caranya? Ada 3 Cara• Dengan melihat hasil nilai skewness yang didapat melalui statistik deskriptif (Data dikatakan berdistribusi normal jika nilai Skewness di antara: – (-1 ---- +1) atau (-2 --- +2)• Kolmogorov-Smirnov dari menu Analyze > Descriptive Statistics > Explore• Kolmogorov-Smirnov dari menu Analyze > Non parametric test > 1-sample K-S
  4. 4. Kolmogorov-Smirnov dari menu Analyze > Descriptive Statistics > Explore
  5. 5. Hasilnya Tests of Normality a Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig.TOTALHSL .107 44 .200* .966 44 .372 *. This is a lower bound of the true significance. a. Lilliefors Significance CorrectionJika nilai Sig lebih besar dari 0,05 maka data berdistribusi normalJika nilai Sig lebih kecil dari 0,05 maka data tidak berdistribusi normal
  6. 6. Cara lain
  7. 7. Hasilnya
  8. 8. Tests of Normality a Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig.TOTALHSL .107 44 .200* .966 44 Descriptive Statistics .372KINERJA .122 44 .101 .943 44 .048MOTIVASI .163 44 .005 .889 44 N .010** SkewnessIKLIM .144 44 .022 .943 44 Statistic .046 Statistic Std. ErrorKOMITMEN .135 44 .042 TOTALHSL 44 .942 .043 44 .686 .357KEPUASAN .124 44 .088 KINERJA .946 44 .061 46 -.772 .350KEPEMIMP .108 44 .200* MOTIVASI 44 .930 .017 46 -1.296 .350 *. This is a lower bound of the true significance. IKLIM 46 -.238 .350 **. This is an upper bound of the true significance. KOMITMEN 46 .026 .350 a. Lilliefors Significance Correction KEPUASAN 46 -.611 .350 KEPEMIMP 46 -.773 .350 Valid N (listwise) 44 One-Sample Kolmogorov-Smirnov Test TOTALHSL KINERJA MOTIVASI IKLIM KOMITMEN KEPUASAN KEPEMIMPN 44 46 46 46 46 46 46Normal Parameters a,b Mean 2641.43 39.67 38.72 41.70 38.17 37.61 35.46 Std. Deviation 1014.71 3.11 5.46 5.62 3.84 4.16 6.60Most Extreme Absolute .107 .110 .143 .130 .132 .129 .098Differences Positive .107 .066 .125 .071 .132 .129 .074 Negative -.043 -.110 -.143 -.130 -.096 -.091 -.098Kolmogorov-Smirnov Z .711 .746 .972 .884 .897 .875 .665Asymp. Sig. (2-tailed) .693 .634 .301 .416 .397 .429 .769 a. Test distribution is Normal. b. Calculated from data.

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