PSCYHOLOGY PSYC 515 Week 3 Quiz: Factorial Design Concepts.

PSCYHOLOGY PSYC 515 Week 3 Quiz: Factorial Design Concepts Score for this quiz: 50 out of 50 Submitted Jul 10 at 4:35am This attempt took 33 minutes. Question 1 0 / 0 pts I have read and understand the Academic Honor pol ...

PSCYHOLOGY PSYC 515 Week 3 Quiz: Factorial Design Concepts Score for this quiz: 50 out of 50 Submitted Jul 10 at 4:35am This attempt took 33 minutes. Question 1 0 / 0 pts I have read and understand the Academic Honor policy as outlined in the Online Honor Code for Liberty University Online. I agree to abide by this policy and that the work submitted herein is my own. Yes No Question 2 2 / 2 pts 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? 3 6 5 2 Question 3 2 / 2 pts In a study examining the effects of gender (male or female) and major (psychology, philosophy, or biology) on college students’ willingness to perform community service work, what is the factorial notation? 2 x 2 2 x 4 1 x 6 2 x 3 Question 4 2 / 2 pts A factorial design involves measuring more than one dependent factor (variables). both measuring more than one dependent factor (variables) AND manipulating more than one independent factor (variable). none of the options are correct manipulating more than one independent factor (variable). Question 5 2 / 2 pts For a 2 x 4 factorial design, there is the possibility of _____ main effect(s) and _____ interaction effect(s). 2; 1 4; 8 8; 8 2; 4 Question 6 2 / 2 pts A 3 x 3 x 3 x 3 design has _____ potential main effects. 4 3 81 12 Question 7 2 / 2 pts 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? 5 1 2 6 Question 8 2 / 2 pts In a study examining the effects of time of day (morning or afternoon) and temperature (cool, normal, warm) on worker productivity, the factorial notation would be 2 x 2 2 x 5 1 x 6 2 x 3 Question 9 2 / 2 pts Two variables interact when there are main effects there are no main effects both variables are affected equally by some third factor. the effect of one independent variable depends on the level of the other independent variable Question 10 2 / 2 pts In a study with three levels of factor A, three levels of factor B, and six participants in each condition, the df error would be 54 20 53 45 Question 11 2 / 2 pts A main effect indicates we can tell all of these things from a main effect the mean differences among the levels of one variable the mean difference between the two variables the mean differences among the levels of all variables Question 12 2 / 2 pts 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? Histogram Scatterplot Bar graph Box plot Line graph Question 13 2 / 2 pts 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? The main effect of therapy type is not significant; no additional analyses are needed to interpret it. The main effect of therapy type is significant; no additional analyses are needed to interpret it. The main effect of therapy type is not significant; LSD pairwise comparisons are needed to fully interpret it. The main effect of therapy type is significant; LSD pairwise comparisons are needed to fully interpret it. The main effect of therapy type is not significant; Tukey HSD post hoc analysis is needed to fully interpret it. The main effect of therapy type is significant; Tukey HSD post hoc analysis is needed to fully interpret it. Question 14 2 / 2 pts 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? Eating habits Social situations Ice cream consumption None of these Question 15 2 / 2 pts 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: How many factors are in this scenario? 0 1 2 3 Question 16 2 / 2 pts 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: Which of the following best reflects this scenario? 2 x 2 2 x 3 2 x 4 3 x 4 Question 17 2 / 2 pts 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 significant finding in this scenario is the main effect of eating habits? Histogram Scatterplot Bar graph Box plot Line graph Question 18 2 / 2 pts 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? Randomized ANOVA Repeated measures ANOVA Two-way (randomized) ANOVA Two-way Repeated Measures ANOVA Mixed Design ANOVA Question 19 2 / 2 pts 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 all main effects and interactions in this scenario were significant? Histogram Scatterplot Bar graph Box plot Line graph Question 20 2 / 2 pts 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: How many factors are in this scenario? 0 1 2 3 Question 21 2 / 2 pts 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? The main effect for number of bystanders is not significant; no additional analyses are needed to interpret it. The main effect of sports is significant; no additional analyses are needed to interpret it. The main effect of sports is not significant; LSD pairwise comparisons are needed to fully interpret it. The main effect of sports is significant; LSD pairwise comparisons are needed to fully interpret it. The main effect of sports is not significant; Tukey HSD post hoc analysis is needed to fully interpret it. The main effect of sports is significant; Tukey HSD post hoc analysis is needed to fully interpret it. Question 22 2 / 2 pts 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 most appropriate statistical test to conduct given this scenario? Randomized ANOVA Repeated measures ANOVA Two-way (randomized) ANOVA Two-way Repeated Measures ANOVA Mixed Design ANOVA Question 23 2 / 2 pts 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: How many factors are in this scenario? 0 1 2 3 Question 24 2 / 2 pts 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 reflects this scenario? 2 x 2 2 x 3 3 x 3 x 1 2 x 2 x 1 Question 25 2 / 2 pts 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 = . 032 for the interaction of Therapy Type x Time, what should the researcher conclude? The interaction is not significant; no additional analyses are needed to interpret it. The interaction is significant; no additional analyses are needed to interpret it. The interaction is not significant; run correlated groups t-tests for post hoc analyses. The interaction is significant; for post hoc analyses, split the file based on the factor “Time” and conduct one-way randomized ANOVAs with Tukey post hoc analyses on the factor “Therapy Type” to further interpret. The interaction is significant; conduct independent samples t-tests as post hoc analyses for further interpretation. Question 26 2 / 2 pts 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: How many levels does the fac