From the course: SPSS Statistics Essential Training (2019)
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Computing contingency tables - SPSS Tutorial
From the course: SPSS Statistics Essential Training (2019)
Computing contingency tables
- [Tutor] When you're looking at the associations between variables the most common approach is the correlation coefficient, but that's best when you have quantitative variables or continuous scaled ones. When you have categorical variables the fallback choice is a contingency table that lays out the rows and columns of frequencies, and that allows you to do tests like a chi-squared test. Now let's see how we can do this is SPSS. We come up to analyze, and the first thing to know is you might want to go straight to tables, but that's actually not what we're looking for right here. We're actually looking for something under descriptive statistics to crosstabs, which is short for crosstabulations. That's the same thing as a contingency table. And we set up the rows and columns of the table, so let's take some of our categorical variables, say for instance region and governor, and let's put those as rows and let's put…
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Contents
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Computing frequencies6m 57s
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Computing descriptives4m 42s
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Exploratory data analysis5m 10s
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Computing correlations5m 29s
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Computing contingency tables6m 38s
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Factor analysis and principal component analysis8m 42s
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Reliability analysis7m 43s
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