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Some numerical tests and histograms are presented.
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The post estimation was performed by plotting predicted residuals against observed data in addition to the partial autocorrelation function (PACF), scatter plots, normality tests and histogram of residuals.
The Shapiro-Wilk test and histograms were used to assess normality.
The distribution of variables was examined for normality using the Kolmogorov-Smirnov test and histograms.
Normal distribution of variables was assessed using the Shapiro-Wilk test and histograms.
Normal distributions of the mean scores obtained for the seven subscales were tested with the Kolmogorov Smirnov test and histograms.
Normal distribution was evaluated by the Shapiro-Wilk test and histograms and the assumptions of the parametric tests were met by the data.
For each continuous variable, normality was checked by Kolmogorov Smirnov and Shapiro Wilk tests and by histograms.
The distribution of the data was tested using the Kolmogorov Smirnov test (graph pad) and histograms in SPSS and parametric tests were used on raw or log transformed data.
Continuous dependent variables were transformed to a log scale when they departed from normality as observed by quantile quantile plots, Shapiro-Wilk tests for normality, and histograms.
Shapiro Wilk normality test control and histogram charts were drawn.
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