![]() ![]() Our output includes this information in footnote ‘a’ none of our cells have a frequency less than 5 and therefore we have not violated this chi-square assumption. Look for footnote underneath the Chi-square Tests box. ![]() You first need to check to see if the data in your table meet this requirement. One of the requirements for Chi-Square is that each and every cell has a frequency of 5 or greater. Interpreting Chi-square test for independence Check to ensure that Observed is in the “count” box and that Row, Column and Total boxes are all checked in the “percentage” box.Ĭlick OK. Now click the Statistics button and select Chi-Square.Ĭlick OK. For this example, our independent variable is SEX and dependent variable is PARTYID. Click on your dependent variable name and place it in the “row” box and then select your independent variable and place it in the “column” box. The following example uses the GSS 2008 (1500 cases) database.Ĭlick Analyze, Descriptive Statistics, Crosstabs. This statistic involves comparing your actual results with the results you would expect to have if there were NO difference between women and men in terms of their political party affiliation. You can determine some of this information by looking at the cross tabulation and comparing the percentages of men and women for each party identification. For example, you may hypothesize that gender influences a person’s political party identification. The Chi-Square ( X 2) statistic may be used to determine if two categorical (nominal or ordinal variables with less than 5 rankings) variables are related. ![]()
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