• Just need help getting started, don't necessarily need all the answers... Help
• Joel is interested in the exploring past romantic relationships. Specifically, he is looking at how relationship-contingent self-esteem (RCSE; the extent to which the way people view themselves is dependent on their romantic relationships), and who initiated the breakup (either the individual or the past partner) are related to commitment in the past relationship. He collected data on these variables (he had unequal sample sizes per cell) and conducted a factorial ANOVA. The data is shown below.
• 1. Using the means from the first table, sketch a graph of the data (make sure to label your axes)

     Breakup initiator

     		Self	Partner	Total
     RCSE (R)		(B1)	(B2)
     	Low (R1)	5.2	5.74	5.38
     	High (R2)	5.64	7.89	6.61
     	Total	5.42	7.05

     1. 1. Source	SS	DF	MS	F
           Between
           B (B. initiator)	53.30	1	53.30	10.66
           R (RCSE)	42.86	1	45.86	9.17
           B*R	20.04	1	20.04	4.01
           Within	575.04	115	5
           Total	703.77	118

           1. Sourse	ss	df	ms	f
              Breakup Initiator
              B at Low	3.50	1	3.5	.70
              B at High	80.74	1	80.74	16.15
              RCSE
              R at self	3.51	1	3.51	.70
              R at Partner	50.63	1	50.63	10.13

     2. Looking at your graph, does there appear to be an interaction? Why or why not?
  2. Describe the structure of the study:
     1. How many factors are there?
     2. How many levels does each factor have?
     3. How many cells are there?
     4. How would you describe the design of the study (e.g., A x B)?
  3. What is the total sample size (N)?
  4. What group of people (i.e., which cell) reported the highest commitment to the past relationship?
  5. What is MR2MR2?
  6. Was there a significant main effect for RCSE? How do you know?
  7. Was there a significant main effect for Breakup Initiate? How do you know?
  8. Was there a significant interaction? How do you know?
  9. Using the third table (simple effects) describe the interaction.
  10. Calculate partial eta squared for the interaction.
  11. Summarize your findings based on Joel's data (i.e., going back to the research question, explain the conclusions of the three hypothesis tests).