====== Estimate Univariate/Multivariate Skewness and Kurtosis ======

This introduces the online tool to calculate univariate/multivariate skewness and kurtosis at http://webpower.psychstat.org/models/kurtosis/

To cite, please 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


===== Data file =====

One needs to upload a data file. The data file can be chosen by clicking the Choose File button (it might appear differently for different browsers). We DO NOT save your data file and it is deleted immediately after calculation. 

===== Type of data =====

The following types of data are allowed:

  * SPSS data file with the extension name .sav
  * SAS data file with the extension name .sas7bdat
  * Excel data file with the extension name .xls or .xlsx
  * CSV file (comma separated value data file) with extension name .csv
  * TXT file (text file) with extension name .txt 


===== Select variables =====

A subset of variables can be used. To use the whole data set, leave this field blank. To select a subset of variables, provide the column numbers that separated by comma (,). For example
<code>
1, 2-5, 7-9, 11
</code>
will select variables 1, 2, 3, 4, 5, 7, 8, 9, 11

===== 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,
<code>
-999, -888, NA
</code>
will replace all three values above to missing data.

Disclaimer: The information regarding skewness and kurtosis might be used for summary purpose in publications.