Please note that for all problems in this course, the standard cut-off (alpha) for a test...

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Statistics

Please note that for all problems in this course, the standardcut-off (alpha) for a test of significance will be .05, and youalways report the exact power unless SPSS output states p=.000(you’d report p<.001). Also, remember that we divide the p valuein half when reporting one-tailed tests with 1 – 2 groups.

Problem Set 1: Two-way ANOVA (8 pts)

Research Scenario An Industrial/Organizationalpsychologist conducted a study examining differences in sex (womenand men) and primary mode of communication with superiors (face,email, indirect) on perceived likelihood of receiving a raise inthe next 6 months. Perceived likelihood was measured in percentlikelihood of expecting a raise (e.g., 0 indicates they absolutelydo not expect a raise in the next 6 months).

Twenty-eight participants completed the study. Their results arein the table below. Conduct a two-way ANOVA to determinewhether perceived likelihood of receiving a raise in the next 6months is affected by sex and/or primary mode ofcommunication. Remember to name and define your variables(your two independent variables and your one dependent variable)under the “Variable View,” then return to the “Data View” to enterand analyze the data. (Note the data set is small to ease yourburden – use a two-way ANOVA regardless!)

Face

Email

Indirect

Men

85

100

90

95

100

99

90

100

80

85

90

95

40

30

Women

50

75

80

70

25

10

5

50

75

75

5

10

25

10

  1. Paste the relevant SPSS output, including post hocs ifnecessary. (2 pts)
  1. Create the most appropriate graph(s) for this data given theresults. (2 pts)

  1. Write an APA-style Results section based on your analysis. Allhomework “Results sections” should follow the examples provided inthe presentations and textbooks. They should include thestatistical statement within a complete sentence that mentions thetype of test conducted, whether the test was significant, and ifrelevant, effect size and/or post hoc analyses. Don’t forget toinclude a decision about the null hypothesis. (4 pts)

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