Exam 11: Factorial Designs.
Exam 1: Introduction, Acquiring Knowledge, and the Scientific Method.68 Questions
Exam 2: Research Ideas and Hypotheses.67 Questions
Exam 3: Defining and Measuring Variables.68 Questions
Exam 4: Ethics in Research.67 Questions
Exam 5: Selecting Research Participants.67 Questions
Exam 6: Research Strategies and Validity.66 Questions
Exam 7: The Experimental Research Strategy.67 Questions
Exam 8: Experimental Designs: Between Subjects Design.67 Questions
Exam 9: Experimental Designs Within Subjects Design.67 Questions
Exam 10: The Nonexperimental and Quasi-Experimental Strategies: Nonequivalent Group,Pre–Post,and Developmental Designs.67 Questions
Exam 11: Factorial Designs.67 Questions
Exam 12: The Correlational Research Strategy.67 Questions
Exam 13: The Descriptive Research Strategy.67 Questions
Exam 14: Single-Subject Research Designs.67 Questions
Exam 15: Statistical Evaluation of Data.67 Questions
Exam 16: Writing an APA-Style Research Report.66 Questions
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The results from a two-factor ANOVA show no main effect for factor A but a significant interaction.What can you conclude based on this pattern of results?
(Multiple Choice)
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Which statement accurately describes a two-factor analysis of variance?
(Multiple Choice)
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In order to determine whether factors influence or interact with each other,a researcher must use ____.
(Multiple Choice)
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The following data represent the means for each treatment condition in a two-factor experiment.What pattern of results is shown in the data?
A1 A2
B1
M = 30
M = 20
B2
M = 40
M = 10
(Multiple Choice)
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Describe two situations in which factorial designs are commonly used.
(Essay)
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The students in one gym class receive a self-esteem program as part of their sports training.To evaluate the program,a researcher measures self-esteem for the students before and after the program and compares their scores with those from another class that did not receive the program but was measured at the same two times.What kind of design is being used?
(Multiple Choice)
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The following data show the means for four treatment conditions as well as the overall means for the columns and the rows.For these data,what numbers are compared to assess the main effect of factor A?
A1 A2 M = 25 M = 65
B1
M = 20
M = 60
M = 40 B2
M = 30
M = 70
M = 50
(Multiple Choice)
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A two-factor experimental design must involve at least four different treatment conditions.
(True/False)
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What is the relationship between main effects and interactions? ____.
(Multiple Choice)
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There are three treatment conditions in a 2x2x2 factorial design.
(True/False)
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In a 2 x 2 between-subjects factorial experiment,there are a total of ____ treatment conditions in the experiment,and each participant serves in ____ condition(s).
(Multiple Choice)
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How many independent variables are there in an experimental two-factor design?
(Multiple Choice)
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In an experiment examining the effects of task difficulty (easy/hard)for men and women,the factors are ____.
(Multiple Choice)
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In a 2 x 3 between-subjects factorial experiment,there are ____ groups of participants.
(Multiple Choice)
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In a two-factor design,an interaction means that the effect of one factor depends on the levels of the second factor.
(True/False)
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In a two-factor study,it is possible to have one between-subjects factor and one within-subjects factor.
(True/False)
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A researcher who is examining the effects of temperature and humidity on the eating behavior of rats uses a factorial experiment comparing three different temperatures (70˚,80˚,and 90˚)and two humidity conditions (low and high).How many factors are in the experiment?
(Multiple Choice)
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In a matrix representing the structure of a factorial design,the mean differences between the rows define the interaction between the factors.
(True/False)
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It is possible for the results of a two-factor study to show an interaction even though there is no main effect for either factor.
(True/False)
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