How do you Analyse chi square results?
Emma Johnson
Updated on March 03, 2026
Interpret the key results for Chi-Square Test for Association
- Step 1: Determine whether the association between the variables is statistically significant.
- Step 2: Examine the differences between expected counts and observed counts to determine which variable levels may have the most impact on association.
What does the chi square analysis tell you?
The chi-square test is a hypothesis test designed to test for a statistically significant relationship between nominal and ordinal variables organized in a bivariate table. In other words, it tells us whether two variables are independent of one another.
How do I report a chi square table?
Chi Square Chi-Square statistics are reported with degrees of freedom and sample size in parentheses, the Pearson chi-square value (rounded to two decimal places), and the significance level: The percentage of participants that were married did not differ by gender, X2(1, N = 90) = 0.89, p > . 05.
What is chi square test explain its significance in statistical analysis?
A chi-square test is a statistical test used to compare observed results with expected results. The purpose of this test is to determine if a difference between observed data and expected data is due to chance, or if it is due to a relationship between the variables you are studying.
How do I report a chi-square table?
How does PSPP compute the chi square?
The computation of Chi Square is based on comparing the observed cell frequencies (i.e., the cell frequencies that you see in the table that PSPP gives you) and the cell frequencies that you would expect by chance assuming the null hypothesis was true. PSPP will also compute these expected frequencies for you.
What is a chi square test?
Chi Square is a statistical test of significance that we can use to test hypotheses about the population. Chi Square is the appropriate test when your variables are nominal or ordinal (see STAT1S_pspp ). In STAT9S we started by using crosstabulation to look at the relationship between sex and opinion about abortion.
How do you write chi square test results in APA format?
In APA style, the proper reporting of chi-square test results is χ2= (degrees of freedom, n = number of scores ) = chi-square score, p value. This example would be reported as χ2(1, n = 20) = .80, p= .371.
What is the sex of each student in PSPP?
The sex of each student is recorded as a 0 (male) or 1 (female). Some of the data are shown below. The data file is available for downloading. The chi-square goodness of fit test is available in PSPP through the Analyze, Non-parametric Statistics, chi-square command. The dialog box looks like this:
