Using the Crosstabs Dialog Window

  1. Reopen the Crosstabs window (Analyze > Descriptive Statistics > Crosstabs).
  2. In the Row box, replace variable Rank with RankUpperUnder .
  3. Click Cells. In the Percentages area, check off Row, Column, and Total percentages. …
  4. Click OK to run.

How do you Analyse a cross tabulation?

A cross tabulation (or crosstab) report is used to analyze the relationship between two or more variables. The report has the x-axis as one variable (or question) and the y-axis as another variable.



A Real World Example.

Answer Choice Total Survey Responses Percent of Responses
Total Responses 47 100%

What do crosstabs in SPSS tell you?

Crosstabs in SPSS is just another name for contingency tables, which summarize the relationship between different variables of categorical data. Crosstabs can help you show the proportion of cases in subgroups.

How do you read cross tabulation results?

Interpret the key results for Cross Tabulation and Chi-Square

  1. Step 1: Determine whether the association between the variables is statistically significant.
  2. Step 1: Examine the differences between expected counts and observed counts to determine which variable levels may have the most impact on association.


How do you know if a crosstab is statistically significant?

Crosstabulation is a statistical technique used to display a breakdown of the data by these two variables (that is, it is a table that has displays the frequency of different majors broken down by gender). The Pearson chi-square test essentially tells us whether the results of a crosstab are statistically significant.

What is the null hypothesis for a cross tabulation?

For a 2×2 table, the null hypothesis may equivalently be written in terms of the probabilities themselves, or the risk difference, the relative risk, or the odds ratio. In each case, the null hypothesis states that there is no difference between the two groups.

How do you interpret chi-square crosstabs in SPSS?

Quick Steps

  1. Click on Analyze -> Descriptive Statistics -> Crosstabs.
  2. Drag and drop (at least) one variable into the Row(s) box, and (at least) one into the Column(s) box.
  3. Click on Statistics, and select Chi-square.
  4. Press Continue, and then OK to do the chi square test.
  5. The result will appear in the SPSS output viewer.


How do I interpret chi-square results in SPSS?

Put simply, the more these values diverge from each other, the higher the chi square score, the more likely it is to be significant, and the more likely it is we’ll reject the null hypothesis and conclude the variables are associated with each other.

How do you Analyse a chi-square test?

Interpret the key results for Chi-Square Test for Association

  1. Step 1: Determine whether the association between the variables is statistically significant.
  2. Step 2: Examine the differences between expected counts and observed counts to determine which variable levels may have the most impact on association.