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Question 1 A researcher is interested in variables that may affect…
Question 1
A researcher is interested in variables that may affect an individual’s driving ability. He has people drive a course in wet, dry, or icy conditions. In addition, he has them drive a vehicle with or without power steering, and with an automatic or a manual transmission. This design is an example of a factorial
(a) 2 x 2
(b) 3 x 2
(c) 3 x 2 x 2
(d) 2 x 2 x 2
Question 2
While analyzing the interaction between age and gender, Reba finds a difference between the likelihood of being hired in young and old applicants when they are females. However, she finds no such difference among young and old applicants that are males. Based on the findings, Reba has examined the:
(a) main effect of age
(b) main effect of gender
(c) simple main effect of age
(d) simple main effect of gender
Question 3
Mary found an interaction between a defendant’s gender (male or female) and their appearance (attractive or unattractive) on judgments of criminal behavior. She analyzes the difference between judgments for unattractive defendants who are male or female. She then performs the same analysis for attractive males and females. Mary has examined the:
(a) Main effect of appearance
(b) Simple main effect of appearance
(c) Main effect of gender
(d) SImple main effect of gender
Question 4
In a study designed to measure the aggressive play of boys versus girls who attend public or private schools, which of the following statements is least correct?
(a) There may be a simple main effect of gender
(b) There may be a simple main effect of the type of school
(c) There may be an effect of aggressive play
(d) There may be a Gender x type of school interaction
Question 5
A researcher conducts a factorial design to see whether various advertisements influence participants’ willingness to purchase a product. Data is shown in table below.
Advertisement Color
Delivery Medium
Red
Blue
Mean
50
88
95
48
Mean
6 A) What are the meansthose that would be used for testing main effectsfor red color, blue color, mail and email? (2 pts.)
Red:
Blue:
Mail:
E-mail:
6 B) What are the independent variables? (2 pts.)
IV A:
IV B:
7 C) Is there a main effect for your each of the independent variables? How do you know? (3 pts.)
IV A: (A) Yes, there is a main effect for IV A, (B) No, there is no main effect for IV A because (A) the means for mail and e-mail are very different, (B) the means for mail and e-mail are not very different, (C) the means for red mail and e-mail versus blue mail and e-mail are very different, (D) the means for red mail and e-mail versus blue mail and e-mail are not very different
IV B: (A) Yes, there is a main effect for IV B, (B) No, there is no main effect for IV B because (A) the means for red and blue are very different, (B) the means for red and blue are not very different, (C) the means for red mail and e-mail versus blue mail and e-mail are very different, (D) the means for red mail and e-mail versus blue mail and e-mail are not very different
7 D) Does there appear to be an interaction? How do you know? (3 pts.)
(A) Yes, there is a sign of an interaction, (B) No, there is no sign of an interaction, which can be seen by the (A) simple main effects, (B) main effects, (C) mean differences in the data table. This means that the effect of color is (A) different, (B) the same for each level of the (A) other, (B) same independent variable, and that the effect of medium is (A) different, (B) the same for each level of the (A) other, (B) same independent variable.
Graphically, the data from this table look like (A) two non-parallel (maybe crossing) lines, (B) two parallel lines, (C) two straight lines
