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Questions and Answers
What is the main focus of factorial designs in research?
What is the main focus of factorial designs in research?
Which of the following is NOT a type of factorial design?
Which of the following is NOT a type of factorial design?
In factorial designs, what is an interaction effect?
In factorial designs, what is an interaction effect?
What factor can significantly influence happiness according to researchers?
What factor can significantly influence happiness according to researchers?
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Which is a potential advantage of using factorial designs in research?
Which is a potential advantage of using factorial designs in research?
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What does it mean when two factors interact in a study?
What does it mean when two factors interact in a study?
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Which of the following presentations is likely to show an interaction effect for study time?
Which of the following presentations is likely to show an interaction effect for study time?
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What can you infer about the mean exam score in regards to the mode of presentation?
What can you infer about the mean exam score in regards to the mode of presentation?
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In a study where both factors show interaction, what is likely true about the mean scores?
In a study where both factors show interaction, what is likely true about the mean scores?
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What is a key advantage of using factorial designs in psychological research?
What is a key advantage of using factorial designs in psychological research?
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In a 2 x 2 factorial design, how many different conditions are there?
In a 2 x 2 factorial design, how many different conditions are there?
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Which of the following best describes a 2 x 3 factorial design?
Which of the following best describes a 2 x 3 factorial design?
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Which of the following factors was not mentioned in the example of factors contributing to a poor exam mark?
Which of the following factors was not mentioned in the example of factors contributing to a poor exam mark?
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How can the effects of two factors be examined simultaneously?
How can the effects of two factors be examined simultaneously?
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In the context of factorial designs, which statement is true regarding levels?
In the context of factorial designs, which statement is true regarding levels?
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In a three-factor design, which combination is evaluated in addition to the main effects?
In a three-factor design, which combination is evaluated in addition to the main effects?
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In the memory experiment described, which factor would be classified as a within-group factor?
In the memory experiment described, which factor would be classified as a within-group factor?
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Which of the following describes a four-way interaction in an experiment?
Which of the following describes a four-way interaction in an experiment?
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Which group received no treatment in the described study design?
Which group received no treatment in the described study design?
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What is the main effect of Factor A in the described design?
What is the main effect of Factor A in the described design?
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What can be concluded about the interaction of factors A and B?
What can be concluded about the interaction of factors A and B?
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What is a disadvantage of a pure factorial design as described?
What is a disadvantage of a pure factorial design as described?
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In the context of the study, how does darkness affect children's anxiety levels?
In the context of the study, how does darkness affect children's anxiety levels?
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What does a significant AxB interaction suggest in the study's context?
What does a significant AxB interaction suggest in the study's context?
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What results from the analysis of M values for Neutral and Scary images?
What results from the analysis of M values for Neutral and Scary images?
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What could be a confounding variable in this pure factorial design?
What could be a confounding variable in this pure factorial design?
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What was the average M value for ‘Light off’ with 'Scary images'?
What was the average M value for ‘Light off’ with 'Scary images'?
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What was the main effect of Factor A in the scenario provided?
What was the main effect of Factor A in the scenario provided?
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What was the main effect of Factor B in the experiment?
What was the main effect of Factor B in the experiment?
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What conclusion can be drawn regarding the interaction between Factors A and B?
What conclusion can be drawn regarding the interaction between Factors A and B?
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In the example provided, what does the phrase 'depends on' indicate?
In the example provided, what does the phrase 'depends on' indicate?
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When should the presence of an interaction be considered during analysis?
When should the presence of an interaction be considered during analysis?
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What would the M values indicate in the interpretation of results?
What would the M values indicate in the interpretation of results?
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How is a main effect reported when there is no interaction present?
How is a main effect reported when there is no interaction present?
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What does an M value of 20 indicate for recall happy under learning happy?
What does an M value of 20 indicate for recall happy under learning happy?
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What would indicate a significant main effect of Factor A on recall scores?
What would indicate a significant main effect of Factor A on recall scores?
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Which statement is true regarding the learning conditions 'learn happy' and 'learn sad'?
Which statement is true regarding the learning conditions 'learn happy' and 'learn sad'?
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In analyzing Factor A's impact on recall scores when there's no interaction, what is inferred?
In analyzing Factor A's impact on recall scores when there's no interaction, what is inferred?
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What does 'd' represent in the results indicated?
What does 'd' represent in the results indicated?
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If a main effect is reported for Factor B, what implications does this have?
If a main effect is reported for Factor B, what implications does this have?
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Which would be the proper approach to report results showing both main effects and interactions?
Which would be the proper approach to report results showing both main effects and interactions?
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Study Notes
PSYCH 306: Research Methods in Psychology - Factorial Designs
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Factorial designs examine the relationships among multiple independent variables (IVs) and one dependent variable (DV) in a single study. This contrasts with simpler studies focusing on one IV at a time.
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Examples of factorial designs include a 2x2 design, a 2x3 design, and more complex 3x2x2 designs.
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A factorial design determines:
- The main effects for each independent variable.
- Interactions between independent variables.
Exam Schedule and Course Requirements
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The final exam is scheduled for December 9th, from 6:30 PM to 9:30 PM.
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The exam will consist of multiple-choice questions. Approximately 60 questions are anticipated.
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The exam material covers lectures and readings since the last exam.
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Homework assignment HW3 will be graded over the next two weeks.
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Extra credit can be earned for participation in SONA.
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The final grade is based on Exam 1 (37%), Exam 2 (37%), and Homework (26%). Specific point values for each homework assignment are available.
Types of Factorial Designs
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Pure factorial designs (between-subjects):All Independent Variables (IVs) are between subjects. Groups of participants are randomly assigned to different treatment conditions.
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Within-subjects factorial design:A single group of participants experiences all the conditions of the independent variables (IVs) in a certain order.
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Mixed factorial designs:A factorial design combining both between-subjects (or independent-groups) and within-subjects conditions. This is useful when one independent variable is suited as a between-subjects procedure and the other as a within-subjects procedure.
Higher-order Factorial Designs
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Higher-order factorial designs involve three or more factors.
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Complex interactions between the factors increase in complexity.
Factorial Designs and Interactions
- An interaction exists when the effect of one IV depends on the level of a second IV.
- Non-parallel lines on a graph depicting the results of the study often indicate an interaction.
Structure of a Two-Factor Experiment
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A 2x2 factorial design could have a Presentation Type (On Paper/On Screen) and Study Time (Fixed/Self-Regulated) as the two independent variables.
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The row and column arrangement of an experiment are dictated by these independent variable levels.
Two-Factor Design
- A two-factor design can be represented as a matrix, where each cell in the matrix represents a combinations of the factors (IVs).
- The data provides the researcher with information about the individual and combined effects of the two factors.
Advantages of Factorial Designs
- Highly efficient: They investigate the effects of multiple factors simultaneously, and can help replicate and expand existing studies in a single study.
- Increased external validity: Inclusions of participant characteristics as a variable results in a more varied representation of participants in the study.
- Enables examining interactions, which are crucial in many settings. This happens when the effect of one variable depends on the level of another variable.
Disadvantages of Factorial Designs
- Can be more complex to interpret: Interactions between different independent variables can be hard to assess.
- Increased chance for confounds: More factors make it harder to control for extraneous/unintentional variables.
- May increase the number of participants needed.
Statistical Analysis of Factorial Designs
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Statistical analysis often involves ANOVA, to analyze and test the significance of the mean differences observed across different treatment conditions.
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The methodology used will vary based on whether the factors being analyzed are between or within subjects, and could be mixed.
Types of Interactions
- Two-way interactions occur between all pairs of factors.
- Three-way interactions occur between all three factors.
- Similar patterns exist for more factors.
Interpreting Results
- Look for main effects (the individual effects of each IV) first.
- Assess the differences in row and column means.
- Interactions: Examine how differences in row or column means change, across the groups of the different IV pairs or more.
- If an interaction exists, the effect of one IV "depends" on the level of other IVs.
- If no interaction, interpret main effects separately.
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Description
This quiz explores the key concepts of factorial designs in psychological research. It covers topics such as interaction effects, types of designs, and advantages of using these methods in studies. Test your knowledge on how factorial designs can influence research outcomes.