How to compute z score in spss

SPSS ASSIGNMENT #3

Computing z-Scores Using SPSS

Using the data below:

1. Determine the z-score that corresponds to each teacher’s salary and enter them in the table below. (Follow the steps on the second page).

The following data are from a survey of high school teachers.

SALARY

SEX

ZSALARY

35,000

Male

0.02007

18,000

Female

-1.00344

20,000

Male

-0.88302

50,000

Female

0.92316

38,000

Male

0.20069

20,000

Female

-0.88302

75,000

Male

2.42831

40,000

Female

0.3211

30,000

Male

-0.28096

22,000

Female

-0.76261

23,000

Male

-0.70241

45,000

Female

0.62213

Follow the instructions below. For salary be sure to use “scale” for measure (and you will be entering the actual number so no need for values); sex is a nominal variable (Male= 1, Female=2).

In SPSS, we compute z-scores via the Descriptives command.

After you enter the data above, click Analyze, then Descriptive Statistics, then Descriptives – this will take you to the dialog box for descriptives.

In the bottom-left corner you will see a check box labeled “Save standardized values as variables”, check this box and move the variable SALARY into the right-hand blank. Then click OK to complete the analysis. You will see the standard output from the Descriptives command. Notice that the z-scores are not listed. SPSS inserts them into the data window as a new variable (ZSALARY). Copy and paste your results to this document.

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

Scale

12

18000.00

75000.00

34666.6667

16609.59927

Sex

0

Valid N (listwise)

0

2. Write a brief (but thorough) analysis of what these z-scores say about each teacher’s salary.

The z-scores show how each teacher’s salary placed compared to the minimum and maximum salaries. For each one of the teacher’s whose z-scores were in the positive, as with the first female and male, their salaries were more than the average salary. For those teacher’s whose z-scores were in the negative, their salaries were below the average salary.