2. 1. Part I: Complex Experimental Designs In a study by Chaiken and Pliner (1987), research participants read an "eating diary" of either a male or female person. The information in the diary indicated that the person ate large meals or small meals. The participants did not know the gender of the diary. writer. After reading the diaries, participants rated the writer's femininity and masculinity on separate scales. Identify the design of this experiment. 1. 2. How many experimental conditions are in this experiment? 3. 4. Identify the independent variable(s) and dependent variable(s). Is there a subject variable in this experiment? If so, identify it. If not, can you suggest a subject variable that might be included? In the above study, the researchers reported the following mean femininity ratings (i.e. higher numbers indicate greater femininity): male small meals (2.02) male large meals (2.05) female small meals (3.90) female - large meals (2.82) Assume that there are equal numbers of diary writers in each experimental condition. Calculate the data (show your work) and answer the following questions: 1. Are there any main effects of the independent (or subject) variables? 2. 3. 4. Is there an interaction (AxB) between the independent (or subject) variables? Graph the means to determine if there is an interaction. Describe and interpret the results of your data analysis (#2.a-c above) in a brief paragraph. Design 1: Independent Variables A1 A2 Part II: Outcomes of Factorial Designs B1 B2 4 6 3 8 1. Is there a main effect of IVA? Overall means of A1, A2 2. Is there a main effect of IVs? Overall means of B1 B2 3. Graph the results to determine if there is an interaction effect. Is there an AxB interaction? Design 2: Independent Variables B1 B2 A1 1 5 A2 2 4 A3 3 3 4. Is there a main effect of IVA? Overall means of A1, A2 A3 5. Is there a main effect of IV,? Overall means of B1 B2 6. 7. Design 3: Graph the results to determine if there is an interaction effect. Is there an AxB interaction? What kind of factorial design is Design #2? Independent Variables B1 A1 A2 10 20 8. 9. 10. 10 Is there a main effect of IVA? Overall means of A1 Is there a main effect of IVs? Overall means of B1 A2 82 B2 30 40 Graph the results to determine if there is an interaction effect. Is there an AxB interaction?