Reporting results of the Chi-Square Goodness-of-fit test SPSS

// Reporting results of the Chi-Square Goodness-of-fit test SPSS //
The chi-square goodness-of-fit test (also: one-sample chi-square test) in SPSS usually consists of two parts:
First, the chi-square goodness-of-fit test itself, which compares an observed distribution and an expected distribution ( • Chi Square Goodness of... ).
Second, in the case of a significant difference - the effect size Cohen's ω (sometimes also referred to as Cohen's w). The effect size has to be calculated by hand, which is shown here: • How to calculate the e...
The reporting is limited to the essentials: chi-square value including degrees of freedom, p-value and effect size. The latter is also to be classified, optionally with Cohen (1992): A Power Primer, or the respective research field-specific limits.
Sample formulation:
=================
"The observed distribution differs from the expected distribution, with X²(2) = 6.118; p = 0.047; ω = 0.346.
The difference is medium according to Cohen (1992)."
⏰ Timestamps:
==============
0:00 Introduction and overview
0:12 Chi-Square goodness of fit results
0:32 Effect size Cohens ω
If you have any questions or suggestions regarding the write-up for the Chi-Square Goodness of Fit test, please use the comment function. Thumbs up or down to decide if you found the video helpful.
#statorials
Support channel? 🙌🏼
===================
Paypal donation: www.paypal.com/paypalme/Bjoer...
Amazon affiliate link: amzn.to/49BqP5H
Thank you for your support!