Exam 11: Factorial Design: I Lost My Phone Number, Can I Borrow Yours Do Pickup Lines Really Work

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Vignettes provide a significant amount of _____ because the researcher can dictate exactly what the participant reads.

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_____ is any experimental design that has more than one independent variable.

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Factorial designs are ______ in which the researchers _____ the independent variables, all of which are between-subjects.

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Dr. Lim identified three independent variables of interest: hair color, career, and eye color. Dr. Lim decided to only use red-haired and blond-haired participants, as well as only doctors, lawyers, and politicians in his study. He also was only interested in hazel-, blue-, and green-eyed individuals. What type of factorial design does that describe?

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What is a vignette?

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Define factorial design and describe a 3 × 3 factorial design study.

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. Khan examined two different independent variables, specifically types of aggression and birth order. Dr. Khan looked at relational and overt aggression, as well as first borns, second borns, middle borns, and multiples. What type of factorial design does that describe?

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Dr. Toy was interested in examining two independent variables, specifically looking at interest in video games and communication styles. Dr. Toy examined computer gamers and console gamers, as well as open communicators and closed communicators. What type of factorial design does that describe?

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The numbers of potential combinations with factorial designs is:

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Vignettes use _____ situations, events, or scenarios to provide information to a participant.

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Professor Danford wants to make every effort to minimize rater bias and random error. It would be highly recommended for Professor Danford to:

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In a 2 × 2 factorial design how many possible combinations of the independent variables exist?

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In a 2010 study examining flirting competencies researchers asked 600 participants to view various videos depicting five types of pick-up lines: cute, humorous, direct compliant, direct introduction, and a third-party introduction. The results suggested:

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Each of the following is an example of an interaction, EXCEPT:

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Use the following to answer questions Scenario III Scenario III is based on fabricated data inspired by the following study: Spencer, S. J., Steele, C. M. & Quinn, D. M. (1999). Stereotype threat and women's math performance. Journal of Experimental Social Psychology, 35, 4-28. Effect of Stereotype Threat on Math Study The myth that men outperform women in math is widely believed by many individuals. The purpose of the study described in Scenario III was to determine if a sample of women whose math abilities equaled a sample of men would fall victim to this threat. To that end, 28 adult men and 28 adult women were administered an easy math test or a difficult math test. The performance of men and women on both the easy and hard test was quantified. A two-factor ANOVA revealed a significant main effect for test, with participants scoring significantly better on the easy test. The analyses also revealed a main effect for sex, with men performing significantly better than women. The interaction between test difficulty and sex was also statistically significant. Further inspection of the data revealed that although men and women did not differ on the easy math test, women performed significantly less well than men on the difficult math test. Given that the screening criteria for participants including earning a grade of B or better in college calculus, and scoring in at least the 85th percentile on the math subsection of the ACT, the current study indicates that women do succumb to math stereotype threat but only when the math challenge is great. The data are presented in Figure 2. Use the following to answer questions Scenario III Scenario III is based on fabricated data inspired by the following study: Spencer, S. J., Steele, C. M. & Quinn, D. M. (1999). Stereotype threat and women's math performance. Journal of Experimental Social Psychology, 35, 4-28. Effect of Stereotype Threat on Math Study The myth that men outperform women in math is widely believed by many individuals. The purpose of the study described in Scenario III was to determine if a sample of women whose math abilities equaled a sample of men would fall victim to this threat. To that end, 28 adult men and 28 adult women were administered an easy math test or a difficult math test. The performance of men and women on both the easy and hard test was quantified. A two-factor ANOVA revealed a significant main effect for test, with participants scoring significantly better on the easy test. The analyses also revealed a main effect for sex, with men performing significantly better than women. The interaction between test difficulty and sex was also statistically significant. Further inspection of the data revealed that although men and women did not differ on the easy math test, women performed significantly less well than men on the difficult math test. Given that the screening criteria for participants including earning a grade of B or better in college calculus, and scoring in at least the 85<sup>th</sup> percentile on the math subsection of the ACT, the current study indicates that women do succumb to math stereotype threat but only when the math challenge is great. The data are presented in Figure 2.    Figure 2. Although women and men performed equally on an easy version of the math test, women performed significantly worse than men on the difficult version. -(Scenario III) According to Scenario III, there was a main effect for sex, with men performing significantly better than women. To arrive at this conclusion, the researchers would have had to examine: Figure 2. Although women and men performed equally on an easy version of the math test, women performed significantly worse than men on the difficult version. -(Scenario III) According to Scenario III, there was a main effect for sex, with men performing significantly better than women. To arrive at this conclusion, the researchers would have had to examine:

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Dr. McKay is training research confederates and is reviewing the list of skills that are necessary to be a successful and well-trained research confederate. All of the following are important skills, EXCEPT:

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