Using SPSS to analyze the multiple-choice questions in the chi-square test questionnaire survey is slightly more complicated than the data analysis of single-choice questions, so I made some summaries. It is mainly divided into the following steps: first, create a data set containing multiple responses, and then customize the table. You can view a single chi-square test, then summarize the values, weight the cases (importance), and then make a cross table to get the chi-square test of table grouping. In addition, I also provide the calculation method of expected value in chi-square test, which is convenient for everyone to use when writing papers and drawing tables.

1 1. As a football player, which part do you think is the most vulnerable to injury when playing football? (multiple choice question)

A. Head and face

B. Neck and chest (waist)

C. limbs

D. Knee joint

E. ankle joint

F. feet

G. Others

Now the association analysis between the age of the ball and the position that the player thinks is the most vulnerable, that is, chi-square test, is as follows:

You can use the online chi-square calculator.

Link: Chi-square Calculator (shuxuele.com)