Question

1. Two-Way Between-Subjects ANOVA

A hypothetical study investigated the extent to which heterosexual men and women were willing to forgive an opposite-sex partner for transgressions in a relationship. Men and women participants completed a questionnaire in which they read five different scenarios about an opposite-sex partner who transgressed in a relationship. After each scenario, participants rated their willingness to forgive on a scale from 1 (not forgive at all) to 7 (definitely forgive). Hence, total ratings could range from 5 (all 1s recorded) to 42 (all 7s recorded). The table lists the data for this hypothetical between-subjects study. Test whether gender and relationship status influenced forgiveness at a .05 level of significance.

		Relationship Status
		Short-Term	Long-Term
Gender	Men	18	8
		24	22
		12	20
		9	11
		12	5
		29	21
		13	25
		9	30
		32	28
		36	28
	Women	28	18
		34	32
		22	27
		19	21
		14	14
		27	32
		28	25
		28	24
		31	25
		20	25

Based on the output given in SPSS, Complete the following F table:

Sources of Variation	SS	df	MS	F statistic	Sig. (p value)
Gender
Status
Gender * Status
Error

Based on the value of the test statistics, what is the decision for the for each factor in the two-way between-subjects ANOVA (highlight one)

Gender: Not Significant Significant

Status: Not Significant Significant

Gender * Status Not Significant Significant

Write the statistic in APA format

Gender: ________________________

Status: ________________________

Gender * Status: ________________________

Answer 1

The SPSS output is:

The F-table is:

Sources of Variation	SS	df	MS	F statistic	Sig. (p value)
Gender	260.1	1	260.1	4.167	0.049
Status	0.4	1	0.4	0.006	0.937
Gender * Status	3.6	1	3.6	0.058	0.812
Error	2247	36

Gender: Significant

Status: Not Significant

Gender * Status Not Significant

There is a signfiicant main effect of Gender. (F (1, 36) = 4.167, p = 0.049 < 0.05)

There is no signfiicant main effect of Status. (F (1, 36) = 0.006, p = 0.937 > 0.05)

There is no signfiicant interaction effect. (F (1, 36) = 0.058, p = 0.812 > 0.05)

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