Chi Square In SPSS

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Information about Chi Square In SPSS

Published on May 2, 2008

Author: edithosb

Source: slideshare.net

Description

Screenshot instructions for using SPSS to get tables and Chi-Square statistics, with sample write-ups in APA format.

Chi-Square in SPSS Using Survival Data from the Titanic

Getting Chi-Square Statistics Data: Survival on the Titanic by Gender Analyze ->Descriptive Statistics -> Crosstabs Move one variable into ROW and the other into COLUMNS. CLICK on CELLS

Select Percentages Within Categories of the Independent Variable Independent Variable (Gender) is in the Rows Always show Observed count Optionally, show Expected count Percentage across the Rows Click CONTINUE In main dialogue box, Click STATISTICS

Independent Variable (Gender) is in the Rows

Always show Observed count

Optionally, show Expected count

Percentage across the Rows

Click CONTINUE

In main dialogue box, Click STATISTICS

Selecting Chi-Square Statistics Choose Chi-Square for hypothesis test Click Phi and Cramer’s V for measure of strength of the relationship Click CONTINUE On main dialogue box, Click OK

Choose Chi-Square for hypothesis test

Click Phi and Cramer’s V for measure of strength of the relationship

Click CONTINUE

On main dialogue box, Click OK

Crosstabs Table Observed count (yellow highlight) Expected count (blue highlight) Percent within each Gender who Died or Survived (pink highlight) Report: “Most men on the Titanic (80.2%) died while most women (71.6%) survived.”

Observed count (yellow highlight)

Expected count (blue highlight)

Percent within each Gender who Died or Survived (pink highlight)

Report: “Most men on the Titanic (80.2%) died while most women (71.6%) survived.”

Chi-Square Test Pearson chi-square is the default test When Sig < alpha, variables are related. Report: “The relationship is significant ( χ 2 (1) = 332.205, p < .005).”

Pearson chi-square is the default test

When Sig < alpha, variables are related.

Report: “The relationship is significant ( χ 2 (1) = 332.205, p < .005).”

Measures of Relationship Phi for 2x2 tables Cramer’s V for larger tables Both range from 0 to 1 with 0 = no relationship For df = 1 V = 0.10 is a small effect V = 0.30 is a medium effect V = 0.50 is a large effect Report: “Gender had a large effect on chance of survival for the Titanic passengers.”

Phi for 2x2 tables Cramer’s V for larger tables

Both range from 0 to 1 with 0 = no relationship

For df = 1

V = 0.10 is a small effect

V = 0.30 is a medium effect

V = 0.50 is a large effect

Report: “Gender had a large effect on chance of survival for the Titanic passengers.”

Survival by Social Class on the Titanic

Chi-Square Test Survival by Social Class on the Titanic

Effect Size and Write-Up Gender was not the only factor that affected the chance of survival when the Titanic sank in the North Atlantic. Social class was significantly related to survivorship ( χ 2 (2) = 115.246, p < .005). More than half of the upper class passengers (61.5%) and many of the middle class (40.7%) passenger survived while only one fourth (26.1%) of the lowest class passengers survived. Social class had a moderate relationship (V = .299) to survival, not as great as the effect of gender. For df (2): V = .07 is a small effect V = 0.21 is a medium effect V = .035 is a large effect

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