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How to Interpret Chi-squared test results

10/11/2016

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Chi-squared test is typically used for evaluating strength of association in scenarios where the measurement variables are categorical (example: vehicles classified as two-wheelers, four-wheelers etc.).  It's also a nonparametric test - in other words, it is "distribution-free".  Similar to how correlation coefficient helps interpret strength of association between real-valued variables, Cramer's V-score from Chi-squared test can be used with categorical variables. Degrees of freedom (df) for a chi-aquare distribution is 1 less than number of categories (df = number of categories - 1). Here's a handy table for how to interpret Cramer's V-score :
Picture
References:
  1. Gravetter FJ, Wallnau LB. 'Essentials of Statistics for the Behavioral Sciences', 8th Edition. (see associated slide deck))
1 Comment
pro-papers review link
10/21/2019 12:41:14 am

Chi is the energy that flows within our body. If you ask me, there are lots of interpretations of it, but Chi is what I am most comfortable in using. I think that the Chinese people really did make a huge thing about it. Not only are they well versed when it comes to this topic, but they are also great at doing it. I hope that I can study their craft more, I want to learn all about Chi.

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