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What is a primary advantage of using factorial designs in research?
Which of the following best describes an interaction effect in factorial designs?
What is a significant disadvantage of using multiple independent variables in a factorial design?
Which statement correctly identifies a limitation of factorial designs?
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What is a main effect in the context of factorial designs?
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What is the primary purpose of counterbalancing in experimental design?
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How is a factorial design identified using a numbering system?
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If a study has a 3 × 2 factorial design, how many independent variables are being assessed?
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In a 2 × 2 factorial design, how many conditions can be expected?
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What does the term 'levels' refer to in factorial designs?
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Which of the following represents a proper factorial design?
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In a factorial matrix, what does each cell represent?
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What is the total number of conditions in a 2 × 3 × 4 factorial design?
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What is a key advantage of using a within-subject design compared to a between-subject design?
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Which of the following is NOT considered a time-related threat to internal validity in a within-subject design?
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What does counterbalancing aim to address in a repeated measures design?
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Which statement accurately describes carryover effects?
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What is a potential issue that arises from subject attrition in a study?
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Which of the following describes a practice effect?
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What is one disadvantage of using a within-subject design?
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How can order effects alter the outcomes of a repeated measures study?
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What does the number of digits in a factorial design indicate?
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In a 4×3 factorial design, how many independent variables are being studied?
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What is the dependent variable in a study examining the effects of sleep deprivation on driving test performance?
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Which design involves two independent variables with two levels each?
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If a study has independent variables of learning environment and study strategy, both with two levels, which of the following factorial design is being utilized?
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What kind of interaction might a researcher want to study when examining the impact of sleep deprivation and driver sex?
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In a factorial design study involving synchronous and asynchronous online learning, what would be a possible dependent variable?
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In the example study with online learning environments, which of the following study strategies is included?
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Study Notes
Within-Subjects Design
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Advantages:
- Requires a smaller sample size compared to between-subjects design.
- Reduces errors arising from individual differences.
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Disadvantages:
- Susceptible to time-related effects:
- History: External events can affect outcomes.
- Maturation: Participants' natural changes over time can influence results.
- Subject attrition: Participants dropping out can bias the sample.
- Prone to carryover effects:
- Practice effects: Familiarity with the study can lead to improved performance.
- Order effects: The order of conditions can impact outcomes.
- Sequence effects: The interaction between conditions based on sequence can influence results.
- Susceptible to time-related effects:
Counterbalancing
- A technique used to address order effects in within-subjects designs.
- Involves dividing the participant sample in half, with each half completing the conditions in a different order.
- For example, a study with two treatments (counseling and meditation) could be counterbalanced by assigning one group to receive counseling first, then meditation, and the other group to receive meditation first, then counseling.
Factorial Design
- A study that involves more than one independent variable.
- Typically involves two or three independent variables, but can incorporate more.
Identifying Factorial Design
- Uses a numbering system that indicates the number of independent variables and their levels.
- Example: A 2 × 3 factorial design has two independent variables, one with two levels and the other with three.
- The total number of conditions in a factorial design equals the product of the levels of each independent variable.
- For example, a 2 × 2 design has four conditions, one for each combination of the two independent variables' levels.
Types of Effects in Factorial Designs
- Main effect: The effect of one independent variable on the dependent variable, averaged across the levels of other independent variables.
- Interaction effect: When the effect of one independent variable on the dependent variable depends on the level of another independent variable.
- Factorial designs are powerful for exploring the combined effects of multiple independent variables on a dependent variable.
Advantages of Factorial Designs
- Investigate multiple factors in a single experiment, saving time and resources.
- Identify both main effects and interaction effects.
- Provide increased statistical power.
- Flexible and widely applicable across different fields of research.
Disadvantages of Factorial Designs
- Increased complexity in interpreting results, particularly with interaction effects.
- Require larger sample sizes than simpler designs.
- Potential for confounding due to interaction effects.
- Limitations in generalizability to other contexts.
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Description
Explore the advantages and disadvantages of within-subjects design in psychology research. This quiz covers concepts like time-related effects, carryover effects, and counterbalancing techniques to mitigate potential biases.