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SPSS Output Explorer

Explore example SPSS tables and learn what each value means. This free tool uses simulated data—it does not run statistical analyses or read your own results.

Select any highlighted value to see what it means, why it matters and how it is reported in APA style.

Chi-square test of independence

Is study mode associated with the support format students prefer? 150 students, each counted once, said whether they study full-time or part-time and which support format they prefer: Online, In-person or Both.

Selected educational output modelled on SPSS 29Values independently verified; layout modelled on SPSS 29

Only the parts of the output needed to read this result are shown. Where SPSS prints more, a note under the table says what has been left out and why.

Skip past the Study mode * Preferred support Crosstabulation table (24 highlighted values)
Study mode * Preferred support Crosstabulation
Preferred supportTotal
OnlineIn-personBoth
Study modeFull-timeCount82
Expected Count82.0
% within Study mode100.0%
Adjusted Residual
Part-timeCount68
Expected Count68.0
% within Study mode100.0%
Adjusted Residual
TotalCount505446150
Expected Count50.054.046.0150.0
% within Study mode33.3%36.0%30.7%100.0%

End of the Study mode * Preferred support Crosstabulation table

Chi-Square Tests
ValuedfAsymptotic Significance (2-sided)
Pearson Chi-Square
Likelihood Ratio2
N of Valid Cases150

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 20.85.

Selected output. Not shown: the Linear-by-Linear Association row. SPSS prints it, but it assumes ordered categories, which study mode and support format are not, and it has not been independently calculated for this example.

Symmetric Measures
ValueApproximate Significance
Nominal by NominalCramer's V
N of Valid Cases150

Selected output. Not shown: the Phi row. SPSS prints Phi too, but for tables larger than 2 × 2 Cramér's V is the measure usually reported, and Phi has not been independently calculated for this example.

About this example

Cross-sectional survey: 150 students each answered once, so each student appears in exactly one cell. Study mode (full-time or part-time) and preferred support format (Online, In-person or Both) are categories that do not overlap. All expected counts are at least 20.85, so the expected-count assumption is met.

Limitations

  • The data are simulated for teaching.
  • The students answered a voluntary survey, so they may not represent all students.
  • The test shows an association between study mode and support preference, not that study mode causes the preference.
  • Percentages describe the pattern, but the test uses the counts.

What can be concluded

Support preference differs between full-time and part-time students in this sample: the association is statistically significant and approximately medium-sized (Cramér's V = .30). Descriptively, part-time students chose Both more often than expected, and full-time students chose In-person more often. Because this is a survey, not an experiment, the results show an association, not a cause. Report χ² with its degrees of freedom, N, p and Cramér's V, and describe the direction using the row percentages.

Working on your own chi-square test of independence?

This Explorer is a free teaching resource. Its examples use simulated data, and it does not run analyses or look at your own output.

The Result Decoder (paid) is for your own results: you enter the values from your completed analysis and get an APA 7 results paragraph, a plain-English interpretation, checks on the values you entered, effect-size guidance, charts where available and Defend This Result practice.

In: Chi-Square Tests

Asymptotic Significance (2-sided)

What it means

If study mode and support preference were independent in the population, counts at least this far from the expected counts would be uncommon: p = .001.

How it is reported

p = .001

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