Normality Evaluation of Empirical Data

How to use List of software

This is a web-based program to calculate the univariate and multivariate skewness and kurtosis. The distribution of each variable is also evaluated through histogram and normal Q-Q plot.

First, you can upload a data set. The program accepts SPSS, SAS, Excel, CSV (comma separated value), and TXT (free format text file) data files. You can provide information about the data set and specify the missing data values. Then, you can select the variables to be used in the analysis. The results of the analysis will be displayed after completion.

To cite, use: Cain, M. K., Zhang, Z., & Yuan, K. (2017). Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation. Behavior Research Methods, 49(5), 1716–1735. https://doi.org/10.3758/s13428-016-0814-1

Step 1: Upload Data

Data: Upload or select a file (Only use English letters and numbers, better remove space in file name)


Type of data: Provide select type of data file
SPSS data SAS data Excel data CSV (comma separated value) data without variable names CSV (comma separated value) data with variable names TXT (free format text file) data without variable names TXT (free format text file) data with variable names

Missing data (Missing data values can be provided. If multiple values are used to denote missing data, they can be separated by comma (,). For example, using -999, -888, NA will replace all three values above to missing data.):