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PSYC 515 Quiz: Factorial Design Concepts For a 2 x 4 factorial…
PSYC 515 Quiz: Factorial Design Concepts
For a 2 x 4 factorial design, there is the possibility of _____ main effect(s) and _____ interaction effect(s).
Two variables interact when
A main effect indicates
In a study examining the effects of gender (male or female) and major (psychology, computer science, philosophy, or biology) on college students’ willingness to perform community service work, how many main effects are possible?
In a study examining the effects of time of day (morning or afternoon) and temperature (cool, normal, warm) on worker productivity, how many interaction effect(s) are possible?
A two-way ANOVA means that the experimental design includes
A 3 x 3 x 3 x 3 design has _____ potential main effects.
In a study examining the effects of gender (male or female) and major (psychology, computer science, philosophy, or biology) on college students’ willingness to perform community service work, how many interaction effects are possible?
A 2 x 3 x 4 factorial design has _____ potential main effects
An experiment with four variables each with two levels is a _____ design.
Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: Which of the following best describes the scenario?
Scenario: A therapist wanted to examine marital happiness in couples participating in therapy at her clinic. Couples were randomly assigned to participate in individual, couples, or group therapy. She measured marital happiness using a standardized scale ranging from 0 100, with higher numbers indicating greater marital bliss. She measured marital happiness at three time points from the start of therapy sessions (1, 6, and 12 weeks) and compared those across the three types of therapies offered. Question: If p < .001 for the main effect of time, what should the researcher conclude?
Scenario: A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: What is the dependent variable in this scenario?
Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: As taught in 510/515, what is the most appropriate graph if the only signicant finding in this scenario is the main effect of eating habits?
Scenario: What influences the likelihood of whether a person will assist a stranger? In this study, participants were shown four conditions and asked to provide the percent likelihood that they would be willing to help in each condition. The researcher wanted to see if likelihood of helping varies based on the number of bystanders (0 or 10), and/or the gender of the stranger (male or female). Each participant participated in all four conditions (0 bystanders with a female; 0 bystanders with a male; 10 bystanders with a female; 10 bystanders with a male). Question: As taught in 510/515, what is the most appropriate graph if the only significant nding in this scenario is the main effect of number of bystanders?
Scenario: A therapist wanted to examine marital happiness in couples participating in therapy at her clinic. Couples were randomly assigned to participate in individual, couples, or group therapy. She measured marital happiness using a standardized scale ranging from 0 100, with higher numbers indicating greater marital bliss. She measured marital happiness at three time points from the start of therapy sessions (1, 6, and 12 weeks) and compared those across the three types of therapies offered. Question: If p = .02 for the main effect of therapy type, what should the researcher conclude?
Scenario: A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: As taught in 510/515, what is the most appropriate graph if the only significant finding in this scenario is the main effect of condition ("motivational program" or "control").
Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: As taught in 510/515, what is the most appropriate graph if every main effect and interaction is significant?
Scenario: A guidance counselor wanted to know if anxiety differs based on time (first day of class in relation to the last day of class), and if this differs based on year in school (as a freshman, sophomore, junior, or senior). She collected data on a single group of students across their entire high school career at these eight time points first and last day of freshman, sophomore, junior, and senior year. Anxiety was measured using a standardized scale ranging from 0 50, with higher scores indicating greater anxiety. Question: As taught in 510/515, what is the most appropriate graph if the only significant finding in this scenario is the main effect of time?
Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: If p = .84 for the main effect of social situation, what should the researcher conclude?
Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: What is the dependent variable in this scenario?
Scenario: A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: If p = .024 for the main effect of sports, what should the researcher conclude?
Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: What is the most appropriate statistical test to conduct given this scenario?
Scenario: What influences the likelihood of whether a person will assist a stranger? In this study, participants were shown four conditions and asked to provide the percent likelihood that they would be willing to help in each condition. The researcher wanted to see if likelihood of helping varies based on the number of bystanders (0 or 10), and/or the gender of the stranger (male or female). Each participant participated in all four conditions (0 bystanders with a female; 0 bystanders with a male; 10 bystanders with a female; 10 bystanders with a male). Question: What is the dependent variable in this scenario?
Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: If p = .035 for the main effect of eating habits, what should the researcher conclude?
