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KidGrasshopper1471
I need help with these questions “”” In a study with three levels…
I need help with these questions
“”” In a study with three levels of factor A, how many degrees of freedom will this factor have? 3 4 1 2
Scenario: What inuences 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: If p = .052 for the main effect of gender of the stranger, what should the researcher conclude?
The main effect for number of bystanders is not signicant; no additional analyses are needed to interpret it.
The main effect for number of bystanders is signicant; no additional analyses are needed to interpret it.
The main effect for number of bystanders is not signicant; LSD pairwise comparisons are needed to fully interpret it.
The main effect for number of bystanders is signicant; LSD pairwise comparisons are needed to fully interpret it.
The main effect for number of bystanders is not signicant; Tukey HSD post hoc analysis is needed to fully interpret it.
The main effect for number of bystanders is signicant; Tukey HSD post hoc analysis is needed to fully interpret
3. 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: Which of the following best describes the scenario?
Between-subjects
Within-subjects
Mixed design
Correlational
Cannot determine
4.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?
Sport type
Program type
Number of injuries
Both sport type and program
type None of these
5. Scenario: What inuences 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: Which of the following best reects this scenario?
2 x 2
2 x 3
3 x 3 x 1
2 x 2 x 1
4 x 1
6. 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 le 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 signicant; conduct independent samples t-tests as post hoc analyses for further interpretation.
7. 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 most appropriate statistical test to conduct given this scenario?
Repeated measures ANOVA
Two-way (randomized) ANOVA
Two-way Repeated Measures
ANOVA Mixed Design ANOVA
8.
Scenario: A guidance counselor wanted to know if anxiety differs based on time (rst 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 rst 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: If p = .032 for the main effect of time, what should the researcher conclude?
The main effect of time is not signicant; no additional analyses are needed to interpret it.
The main effect of time is signicant; no additional analyses are needed to interpret it.
The main effect of time is not signicant; LSD pairwise comparisons are needed to fully interpret it.
The main effect of time is signicant; LSD pairwise comparisons are needed to fully interpret it.
The main effect of time is not signicant; Tukey HSD post hoc analysis is needed to fully interpret it.
