Page 103 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

Unit # 7

CHI-SQUARE TEST

Learning Outcomes

At the end of this unit, readers will be able to:
 Understand and be able to perform a 7-step hypothesis
test for Chi-Square statistics.
 Identify when to use Chi-Square test in research.

 Calculate the expected frequency for a cell in a
contingency table.
 Perform manual calculations of Chi-Square and look up
the critical value in the chi-square table.
 Practically conduct Chi-Square test in SPSS.
 Interpret and writing Chi-Square results.

Chi-Square Test

Chi-Square test is used to find the relationship between two or
more categorical variables. The chi-square test works with ordinal
or nominal data. The purpose of a Chi-Square is to compare the
observed frequencies to expected frequencies. Thus, the chi-square
test (2) is used to find a relationship between two or more
categorical variables.

The Theory and Applications of Statistical Inferences 87