SPSS_Crosstabulation

SPSS_Crosstabulation - SPSS Crosstabulation The next...

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SPSS Crosstabulation The next function of SPSS for Windows that we are going to show you is how to conduct a Chi-Squared test. For this purpose we have chosen a contingency table between gender and shopping duty. Before we ask the computer to perform any calculation for us, we should be clear about the nature of our test. The objective of Chi-squared test of independence is to look into the associative relationship between two nominal/ordinal variables. Nominal variables are variables like sex or occupation that partitions the respondents into a number of categories/groups. For instance, the variable sex categorizes respondents into the male group and female group. If these groups are represented by a code number in the computer, it can be 1 for male and 2 for female. Alternatively, it is equally valid to code male as 2 and female as 1. As a result, the coding is arbitrarily. The consequence of this is the computation of the mean and variance for the variable becomes meaningless, and in fact all parametric statistical methods cannot be utilized for these variables. To look at the relationship between nominal variables, we need to use nonparametric techniques like the chi-squared test. Ordinal data are often assumed to have interval data properties, so common parametric methods are more often used for these data. The null hypothesis for the chi-squared test states that gender and shopping duty is independent, and the alternative hypothesis says that the two variables are dependent. To run the chi-squared test, simply click on the pull down menu Analyze , select Descriptive Statistics and choose Crosstabs to open up the following dialogue box. Select Gender from the variable list and click on the right arrow button to put it into the Row variable box. For the column variable, select Shopping Duty, the variable representing and put it into the Column variable box by clicking on the corresponding right arrow button. 1
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Now that you have specified the row variable and the column variable, click Cells to pop up another dialogue box. In this dialog box, select Expected under Counts to ask SPSS to compute the expected frequency of each cell. Since the dependent variable is
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This note was uploaded on 01/15/2010 for the course MKT mkt3010C taught by Professor Alan during the Fall '08 term at CUHK.

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SPSS_Crosstabulation - SPSS Crosstabulation The next...

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