Reporting Chi Square Test in SPSS
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How to report a Chi-square test for independence results in SPSS: Explanation Step by Step
How to Report Case Processing Summary Table in SPSS Output?
The first table is the Case processing Summary. It shows the number of valid, missing, and total cases.
How to Report Crosstabulation Table in SPSS Output?
The second table is Crosstabulation. It shows the number of cases in each group. For example, there is 11 male finished primary school, 11 male finished secondary school, 13 male finished BA, 8 male finished Master, and 7 male finished Ph.D. There is a female finished primary school, 15 females finished secondary school, 21 female finished BA, 10 female completed Master, and 10 female finished Ph.D. There are 50 males and 66 females in the sample. 21 respondents finished primary school, 26 finished secondary schools, 34 finished BA, 18 completed Master, and 17 finished Ph.D. The total number of respondents is 116.
How to Report P-Value in Chi-Square Table SPSS Output?
The third table shows the Chi-square test statistic and its significance.
If the p-value (Asymp. Sig. (2-sided)) for Pearson Chi-square statistic is higher than .05 (p > .05), the education is not dependent on gender (we fail to reject the null hypothesis).
If the p-value (Asymp. Sig. (2-sided)) for Pearson Chi-square statistic is lower than .05 (p < .05), the education is dependent on gender (we reject the null hypothesis).
Since the results show that p = .892 > .05, we fail to reject the null hypothesis.
How to Report Cramer’s V and Phi Measures in SPSS output?
Following table shows the results of Cramer’s V and Phi measures. If Cramer’s V/Phi is 0.10, there is a small impact, 0.30 medium, and 0.50 high.
How to Show Clustered bar Char in SPSS Output?
In the end, there are clustered bar chart.
How to Interpret a Chi-Square Test for Independence Results in APA Style ?
A chi-square test for independence was computed to determine whether education (primary school, secondary school, BA, Master, Ph.D.) is independent of gender (male, female). The results are not significant, χ2(4) = 1.111, p = .892, Cramer’s V/phi = .892. We fail to reject the null hypothesis that education is the same across gender (male, female) and conclude that education is not related to gender.
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