# Gender effect on job classification and Description.

Lab 7 Two Way ANOVA For this lab you will be comparing 2 factors, one is gender and one is job classification. The dependent variable is Salary. It is a Two-Way ANOVA because there are 2 factors. This is called a 2 x 3 factorial design because we have one factor with 2 groups (gender) and the other factor with 3 groups (job classification). Step 1: You must set up your variables: Make sure to put value labels for Gender and Job Classification. See Lab 8 One-Way ANOVA for screen shots on how to set up value labels if you can’t remember. Step 2: Enter the data Values Gender 1 = Male 2 = Female Job Classification 1 = Technical 2 = Clerical 3 = Professional Step 3: Analyze the data: Next click on Options: Now click continue and go back to the previous window and then click Post hoc test and click on the tukey HSD option then continue and back to OK to conduct the analysis. Step 4: Next write up the full APA paper including a title page, abstract, introduction/lit review (4 sources) purpose and hypothesis statement, Method section, Results section, Discussion section, reference section and Table. For the results you need to have a table with the means, sds and Ns for the combinations of gender and job classification. You also need to indicate if there was a gender effect, a job classification effect and/or an interaction effect. Data Gender Job classification. Salary 1 1.00 1.00 \$35,000.00 2 2.00 2.00 \$18,000.00 3 1.00 3.00 \$20,000.00 4 2.00 3.00 \$50,000.00 5 1.00 3.00 \$38,000.00 6 2.00 2.00 \$20,000.00 7 1.00 3.00 \$75,000.00 8 2.00 1.00 \$40,000.00 9 1.00 1.00 \$30,000.00 10 2.00 2.00 \$22,000.00 11 1.00 2.00 \$23,000.00 12 2.00 3.00 \$45,000.00 13 2.00 3.00 \$85,000.00 14 1.00 3.00 \$90,000.00 15 1.00 1.00 \$20,000.00 16 2.00 2.00 \$40,000.00 17 1.00 3.00 \$75,000.00 18 2.00 2.00 \$35,000.00 19 1.00 1.00 \$15,000.00 20 2.00 2.00 \$10,000.00 21 1.00 2.00 \$20,000.00 22 1.00 2.00 \$25,000.00 23 2.00 2.00 \$12,000.00 24 1.00 2.00 \$15,000.00 25 1.00 1.00 \$25,000.00 26 1.00 2.00 \$17,000.00 27 1.00 1.00 \$35,000.00 28 2.00 1.00 \$15,000.00 29 2.00 3.00 \$15,000.00 30 2.00 1.00 \$16,000.00 31 2.00 2.00 \$12,500.00 32 1.00 1.00 \$35,000.00 33 2.00 2.00 \$15,000.00 34 2.00 2.00 \$12,500.00 35 2.00 1.00 \$10,000.00 36 2.00 1.00 \$12,500.00 37 2.00 1.00 \$13,400.00 38 2.00 1.00 \$13,000.00 39 2.00 1.00 \$14,000.00 40 2.00 1.00 \$12,500.00 41 2.00 1.00 \$13,000.00 42 1.00 2.00 \$35,000.00 43 1.00 2.00 \$29,000.00 44 1.00 2.00 \$32,000.00 45 1.00 2.00 \$27,000.00 46 1.00 2.00 \$32,000.00 47 1.00 1.00 \$,45,000.00 48 1.00 1.00 \$43,000.00 49 1.00 1.00 \$39,000.00 50 1.00 3.00 \$67,000.00 51 1.00 3.00 \$125000.00 52 1.00 3.00 \$112000.00 53 1.00 3.00 \$98,000.00 54 1.00 3.00 \$121000.00 55 2.00 3.00 \$125000.00 56 2.00 3.00 \$115000.00 57 2.00 3.00 \$122000.00 58 2.00 3.00 \$105000.00 59 2.00 3.00 \$112000.00 60 2.00 3.00 \$107000.00

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