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Questions and Answers
What is scheduled for November 21st?
What is scheduled for November 21st?
What change was made regarding the due date for Assignment #3?
What change was made regarding the due date for Assignment #3?
Which component is part of Assignment #3?
Which component is part of Assignment #3?
What will be uploaded to Canvas on November 26th?
What will be uploaded to Canvas on November 26th?
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Which aspect of the proposed study must be detailed in the Method section of Assignment #3?
Which aspect of the proposed study must be detailed in the Method section of Assignment #3?
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What is the purpose of the Study Limitations and Future Research section in the assignment?
What is the purpose of the Study Limitations and Future Research section in the assignment?
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During which time slot are optional exam Q&A sessions scheduled?
During which time slot are optional exam Q&A sessions scheduled?
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What percentage of the final grade does the exam represent?
What percentage of the final grade does the exam represent?
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Which chapters are covered in the final exam?
Which chapters are covered in the final exam?
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Which materials are students required to bring to the exam?
Which materials are students required to bring to the exam?
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What is a factorial design in experiments?
What is a factorial design in experiments?
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What is the nature of the final exam?
What is the nature of the final exam?
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What is true about factorial designs in research?
What is true about factorial designs in research?
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In a factorial design with three factors, each having two levels, how many total conditions are created?
In a factorial design with three factors, each having two levels, how many total conditions are created?
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What is needed for a deferred exam request?
What is needed for a deferred exam request?
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Which of the following best describes the limitation of using too many independent variables in a factorial design?
Which of the following best describes the limitation of using too many independent variables in a factorial design?
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What does a non-manipulated independent variable refer to in an experiment?
What does a non-manipulated independent variable refer to in an experiment?
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Why is it common to limit the number of independent variables in factorial designs?
Why is it common to limit the number of independent variables in factorial designs?
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When forming conditions in a factorial design, what does each combination of factors represent?
When forming conditions in a factorial design, what does each combination of factors represent?
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If a researcher uses a factorial design with the IVs of therapy type and therapy length, what is the maximum number of conditions they can generate with two levels for each IV?
If a researcher uses a factorial design with the IVs of therapy type and therapy length, what is the maximum number of conditions they can generate with two levels for each IV?
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What is the primary advantage of using factorial designs in research?
What is the primary advantage of using factorial designs in research?
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What characterizes a Between-Subjects Factorial Design?
What characterizes a Between-Subjects Factorial Design?
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Which of the following best describes a Within-Subject Factorial Design?
Which of the following best describes a Within-Subject Factorial Design?
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What is a key feature of a Mixed Factorial Design?
What is a key feature of a Mixed Factorial Design?
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What defines a Non-Experimental Factorial Design?
What defines a Non-Experimental Factorial Design?
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What is a significant concern when dealing with non-experimental studies?
What is a significant concern when dealing with non-experimental studies?
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What is meant by 'main effects' in the context of factorial designs?
What is meant by 'main effects' in the context of factorial designs?
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What does a main effect indicate in a study?
What does a main effect indicate in a study?
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Interactions in factorial designs indicate what?
Interactions in factorial designs indicate what?
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When is it essential to analyze simple effects?
When is it essential to analyze simple effects?
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What does counterbalancing aim to achieve in a Mixed Factorial Design?
What does counterbalancing aim to achieve in a Mixed Factorial Design?
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What characterizes a spreading interaction?
What characterizes a spreading interaction?
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How does a cross-over interaction differ from a spreading interaction?
How does a cross-over interaction differ from a spreading interaction?
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Which of the following statements is true about main effects and interactions?
Which of the following statements is true about main effects and interactions?
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What is the primary investigation focus in many studies involving two independent variables?
What is the primary investigation focus in many studies involving two independent variables?
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What happens when there is no interaction present in a study?
What happens when there is no interaction present in a study?
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If the effects of an independent variable are dependent on the levels of another independent variable, this indicates that:
If the effects of an independent variable are dependent on the levels of another independent variable, this indicates that:
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Flashcards
Factorial Designs
Factorial Designs
Research designs that examine the effects of two or more independent variables.
Assignment #3
Assignment #3
Research methods assignment due November 26th.
Current Study Section
Current Study Section
Initial part of Assignment 3, based on Assignment 2.
Method Section
Method Section
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Independent Variables
Independent Variables
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Nov 19th
Nov 19th
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Nov 21st
Nov 21st
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Nov 26th
Nov 26th
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Final Exam Date
Final Exam Date
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Final Exam Location
Final Exam Location
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Final Exam Format
Final Exam Format
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Final Exam Coverage
Final Exam Coverage
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Final Exam Type
Final Exam Type
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Final Exam Weight
Final Exam Weight
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Factorial Designs: Main effects
Factorial Designs: Main effects
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Factor
Factor
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Levels of an IV
Levels of an IV
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Number of conditions in a factorial design
Number of conditions in a factorial design
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Example of a Factorial Design
Example of a Factorial Design
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Non-Manipulated IV
Non-Manipulated IV
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Common number of IVs and levels
Common number of IVs and levels
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Assigning Participants to Conditions
Assigning Participants to Conditions
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Main Effect
Main Effect
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Interaction Effect
Interaction Effect
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Spreading Interaction
Spreading Interaction
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Cross-Over Interaction
Cross-Over Interaction
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Simple Effect
Simple Effect
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Interaction
Interaction
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Between-Subjects Factorial Design
Between-Subjects Factorial Design
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Within-Subjects Factorial Design
Within-Subjects Factorial Design
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Mixed Factorial Design
Mixed Factorial Design
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Non-experimental Factorial Design
Non-experimental Factorial Design
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Independent Variable (IV)
Independent Variable (IV)
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Dependent Variable (DV)
Dependent Variable (DV)
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Study Notes
Chapter 9 - Factorial Designs
- Factorial designs are experiments with more than one independent variable (IV).
- Each level of one IV is combined with all levels of the other IVs.
- This creates all possible combinations of conditions.
- Example: A 2 (cell phone use: yes/no) x 2 (time of day: day/night) design with driving ability as the dependent variable (DV) would have four conditions.
- Factorial designs can have any number of IVs and levels. A 2x2x2 design would test three IVs, each with two levels.
- Fewer IVs and levels are usually preferred due to the rapid increase in the number of conditions and required participants.
Upcoming Dates
- November 19th: Chapter 9 (factorial designs) lecture and tutorial
- November 21st: Chapter 10 (single-subject research) recorded lecture
- November 26th: Assignment 3 due (11:59 pm)
- November 26th: No in-person lectures or tutorials
- December 9th: Final exam (12-2 pm, Regent Theatre)
Assignment #3: Method (20%)
- Due November 26th (11:59 pm)
- Includes a "Current Study" section (revised from Assignment 2)
- Detailed "Method" section describing participants, materials, and procedure.
- "Study Limitations and Future Research Directions" section
- Resources (template and example paper) are available on Canvas.
Final Exam
- Monday, December 9th, 12-2pm
- Regent Theatre (50 King St E, DTR100)
- Multiple-choice and short-answer questions
- Covers chapters 1-10
- Closed-book
- 35% of final grade
Factorial Designs - Just Extra Variables
- Complex experiments have two or more manipulated or measured (individual difference) variables.
- Each variable can have a main effect.
- Variables can influence each other (interaction).
Assigning Participants To Conditions
- Between-Subjects: All factors are between subjects (e.g., each person experiences only one condition of a factor).
- Within-Subjects: Each subject receives all conditions.
- Mixed: One factor is between-subjects, the other is within-subjects; needs counterbalancing.
Non-Manipulated IVs
- Measured but not manipulated (e.g., gender, age).
- Often individual difference variables.
- Allow causal conclusions only for manipulated variables.
Non-Experimental Factorial Design
- Includes only non-manipulated IVs.
- Caution in inferring causation due to directionality and potential third variables.
Main Effects
- The effect of one independent variable (IV) on the dependent variable (DV), averaging across the levels of other IVs.
Interactions
- The effect of one IV depends on the level of a second IV.
- Often considered the primary research question.
- Can be spreading or cross-over interactions.
Simple Effects
- Show precisely what's happening in an interaction.
- Useful when there's a significant interaction.
Types of Interactions
- Spreading: Effect of one IV varies depending on the level of another IV.
- Cross-over: Effect of one IV is in opposite directions at different levels of another IV.
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Description
Explore the concept of factorial designs in experiments with multiple independent variables. This quiz covers how different levels of independent variables interact and affect dependent variables, using practical examples to illustrate these principles. Test your knowledge on the structure and application of factorial designs in research.