Interpreting Percentages from a Chi-Square Test Crosstabulation Output Table in SPSS

This video demonstrates how to interpret the percentages from a chi-square test crosstabulation table in SPSS. The percentages produced by SPSS are recalculated step-by-step in Excel.

[@kiris_77]

Hey! This is the first time I'm watching one of Dr Grande's videos that is not related to a psychological analysis of a serial killer or a social media case 👩‍💻😅

[@JamieB]

Thanks for the video! Great way to interpret percentages and use spss as a tool.

[@aussiebreezekorb8877]

I like the simplicity of the chi-square test and this shows the simplicity of interpreting the information.

[@joseliz8762]

Thank you for sharing! i enjoyed watching the video.

[@feixu6329]

Best interpreting ！！！

[@briannagoitiandia9833]

Using an example of the study was helpful in understanding the use of chi-square

[@clelianinutricao]

Thank you for this walkthrough! Do
you have any tutorial explaining how to calculate prevalence and its 95%
confidence intervals by using SPSS? For comparison between groups (eg, male vs.
female) which statistical test can I use to identify the statistical difference
between prevalences?

[@ilariaacunzo9423]

thanks a lot! it was highly essential for an important exam to be done!

[@DrGrande]

You're welcome!

[@greenelf912]

Thank you again Todd. So the p value greater than 0.05 for such a test says that the two treatments are not sig diff. If it was significant how would one interpret the relationships between the different percentages shown here. Is the overall tables p value a blanket significant difference...

[@greenelf912]

Todd could you please cover the interpretation of a more complex ChiSq table. I have a 7x5 that is flooring me...

[@martinkiarie1943]

So how do you interpret the association between variable?

[@karaannsullivan2363]

Chi-square is an easy way to look at the data and determine the significance of the information.

[@statistikochspss-hjalpen8335]

You didn't interpret the results. You just said if it's significant or not. You need to show which cells you compare when making the interpretation. Cell percentages and row percentages answer different questions.