nibrs-gss9

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SPSS9Lecture.pptx

GSS and NIBRS 9 Lecture

Dr. M. Spencer

Typically in crosstab:

Independent variable goes in the row

Dependent variable goes in the column

Chi square is testing for the difference between your observed outcomes (what actually happened) and your expected outcomes (what you would expect to see if there were no relationship between the variables)

GSS 1

Use the General Social Survey to calculate a chi-square statistic to test the null hypothesis that opinions about capital punishment (CAPPUN) do not differ by marital status (MARITAL).

Hint: ANALYZE, DESCRIPTIVE STATISTICS, CROSSTABS, select row and column variables, choose column and row percentages in options, and select chi-square in statistics.

GSS 2

Analyze the General Social Survey using a chi-square statistic to test if reports of sexual harassment on the job in the past 12 months (WKHARSEX) differ by sex (SEX).

GSS 3

Analyze the General Social Survey using a chi-square statistic to test if reports of threats on the job in the last 12 months (WKHAROTH) differ by sex (SEX).

GSS 4

Analyze the General Social Survey using a chi-square statistic to test if gun ownership (OWNGUN) differs by sex (SEX).

GSS 5

Use the General Social Survey to calculate a chi-square statistic to test the following hypothesis: Being in favor of gun permits (GUNLAW) will differ by whether you or your spouse hunts (HUNT).

NIBRS 1 - Assault

Calculate a chi-square statistic to test the null hypothesis that type of weapon does not differ by offender sex.

Hint: ANALYZE, DESCRIPTIVE STATISTICS, CROSSTABS, select row and column variables, choose column and row percentages in options, and select chi-square in statistics.

NIBRS 2 - Assault

Calculate a chi-square statistic to test the null hypothesis that type of injury does not differ by victim sex.

Hint: ANALYZE, DESCRIPTIVE STATISTICS, CROSSTABS, select row and column variables, choose column and row percentages in options, and select chi-square in statistics.

NIBRS 3 - Assault

Calculate a chi-square statistic to test the null hypothesis that type of weapon does not differ by offender age.

Recode offender age into a new variable (AGEGRP) with two groups (ages 18 to 64 versus 65 to 89).