Podcast
Questions and Answers
What is a one-group posttest-only design?
What is a one-group posttest-only design?
A design without a comparison group that has serious deficiencies in internal validity.
What is a one-group pretest-posttest design?
What is a one-group pretest-posttest design?
A design where participants are measured before and after manipulation to compute an index of change.
What are history effects in quasi-experimental designs?
What are history effects in quasi-experimental designs?
Confounding events that occur at the same time as the experimental manipulation.
What are maturation effects?
What are maturation effects?
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What is instrument decay?
What is instrument decay?
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What is regression toward the mean?
What is regression toward the mean?
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What is a nonequivalent control group design?
What is a nonequivalent control group design?
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What are selection differences in a nonequivalent control group design?
What are selection differences in a nonequivalent control group design?
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What is an interrupted time series design?
What is an interrupted time series design?
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What is the purpose of a control series design?
What is the purpose of a control series design?
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What is the cross-sectional method?
What is the cross-sectional method?
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What is the longitudinal method?
What is the longitudinal method?
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What is a cohort?
What is a cohort?
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What is the sequential method?
What is the sequential method?
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What is replication in research?
What is replication in research?
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What is exact replication?
What is exact replication?
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What is conceptual replication?
What is conceptual replication?
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What is a meta-analysis?
What is a meta-analysis?
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What is a third-variable problem?
What is a third-variable problem?
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What is a confounding variable?
What is a confounding variable?
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What are some disadvantages to experimental methods?
What are some disadvantages to experimental methods?
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What are participant variables?
What are participant variables?
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The __________ correlation coefficient assesses reliability of measures.
The __________ correlation coefficient assesses reliability of measures.
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What does Test-Retest Reliability measure?
What does Test-Retest Reliability measure?
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What is internal consistency reliability?
What is internal consistency reliability?
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What are item-total correlations?
What are item-total correlations?
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What is a response set?
What is a response set?
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What should be avoided in survey questions to maintain simplicity?
What should be avoided in survey questions to maintain simplicity?
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What are double-barreled questions?
What are double-barreled questions?
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What is a loaded question?
What is a loaded question?
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What is negative wording in questions?
What is negative wording in questions?
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What does 'yea-saying' or 'nay-saying' refer to?
What does 'yea-saying' or 'nay-saying' refer to?
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What are closed-ended questions?
What are closed-ended questions?
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What are open-ended questions?
What are open-ended questions?
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What is interviewer bias?
What is interviewer bias?
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What is a panel study?
What is a panel study?
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What is the response rate in a survey?
What is the response rate in a survey?
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What is a posttest-only design?
What is a posttest-only design?
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What are selection differences?
What are selection differences?
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What is a pretest-posttest design?
What is a pretest-posttest design?
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What is an independent groups design?
What is an independent groups design?
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What is a repeated measures design?
What is a repeated measures design?
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What is the order effect?
What is the order effect?
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What is a practice effect?
What is a practice effect?
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What is a fatigue effect?
What is a fatigue effect?
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What are time-related order effects?
What are time-related order effects?
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What is a contrast effect?
What is a contrast effect?
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What does counterbalancing refer to?
What does counterbalancing refer to?
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What is a matched pairs design?
What is a matched pairs design?
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What is a confederate in an experiment?
What is a confederate in an experiment?
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What are self-report measures?
What are self-report measures?
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What are behavioral measures?
What are behavioral measures?
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What are physiological measures?
What are physiological measures?
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What are demand characteristics?
What are demand characteristics?
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What are filler items?
What are filler items?
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What is a placebo group?
What is a placebo group?
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What is a single-blind experiment?
What is a single-blind experiment?
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What is a double-blind experiment?
What is a double-blind experiment?
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What is a pilot study?
What is a pilot study?
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What is a manipulation check?
What is a manipulation check?
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What are factorial designs?
What are factorial designs?
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What is a main effect in factorial designs?
What is a main effect in factorial designs?
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What is an interaction in factorial designs?
What is an interaction in factorial designs?
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What is a moderator variable?
What is a moderator variable?
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What are simple main effects?
What are simple main effects?
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What are single case experimental designs?
What are single case experimental designs?
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What is a baseline in single case designs?
What is a baseline in single case designs?
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What is a reversal design?
What is a reversal design?
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What is a multiple baseline design?
What is a multiple baseline design?
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What is program evaluation?
What is program evaluation?
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What are quasi-experimental designs?
What are quasi-experimental designs?
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What is a one-group posttest-only design?
What is a one-group posttest-only design?
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Study Notes
Research Methods
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Third-variable problem: An extraneous variable that can create a misleading relationship between the studied variables, providing alternative explanations for observed correlations.
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Confounding variable: An uncontrolled third variable intertwining two variables, making it unclear which is influencing the outcome. Example: Income may confound exercise studies.
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Disadvantages of experimental methods:
- Artificial nature of experiments may lack real-world applicability.
- Ethical and practical concerns can restrict research designs.
- Participant variables can introduce variability.
- Limited description of behavior possible in controlled settings.
- Difficulty in making accurate predictions about future behavior.
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Participant variables: Individual characteristics (age, gender, nationality) that are non-experimental and measured rather than manipulated.
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Pearson correlation coefficient: A statistical measure indicating the strength and direction of the relationship between two variables.
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Test-Retest Reliability: Reliability assessed by correlating scores from the same test administered at two different times, although memory retention can skew results.
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Internal Consistency Reliability: Evaluated by comparing scores from split halves of a test or using Cronbach's alpha to assess coherence among test items.
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Item-total correlations: Measure the relationship between individual item scores and the total score to identify poorly correlating items for improved measure reliability.
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Response set: A consistent tendency to approach survey questions from a specific perspective (e.g., social desirability) can bias results.
Survey Question Design
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Simplicity: Survey questions should be simple and clear, avoiding jargon to ensure easy understanding and response.
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Double-Barreled questions: Questions that ask about two aspects at once should be avoided to prevent confusion.
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Loaded questions: These questions contain emotionally charged terms that may bias respondent answers, influencing conclusions.
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Negative wording: Questions phrased negatively can confuse respondents, leading to potential inaccuracies in answers.
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Yea-saying/Nay-saying: Respondents may agree or disagree consistently across questions, potentially misrepresenting their true opinions. This response set should be minimized through careful wording.
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Closed-ended questions: These provide limited response options, making them easier to analyze and ensuring uniformity in answers.
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Open-ended questions: Allow respondents to answer freely, offering depth but requiring more complex analysis and potentially unclear responses.
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Interviewer bias: Interviewer characteristics and behaviors can inadvertently influence participant responses, affecting data reliability.
Research Design
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Panel study: Involves surveying the same participants across multiple time points to assess changes and relationships between variables.
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Response rate: Percentage of surveyed individuals who complete the survey; a low response rate can indicate biases affecting generalizability.
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Posttest-only design: Involves obtaining two equivalent groups, manipulating the independent variable, and measuring the dependent variable's response.
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Selection differences: Ensuring participants do not differ systematically across experimental conditions to maintain internal validity.
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Pretest-posttest design: Measures participants before and after manipulation, verifying group equivalence initially.
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Independent groups design: Random assignment of participants to groups so that each participant is assigned to one condition only.
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Repeated measures design: Each participant experiences all conditions, allowing for powerful within-subject comparisons.
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Order effect: The sequence of treatment presentations can influence results; strategies like counterbalancing are necessary to mitigate this.
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Counterbalancing: Employs different orders of conditions in repeated measures designs to control for order effects.
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Matched pairs design: Participants are paired based on shared characteristics to reduce variability and increase data sensitivity.
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Confederate: An assistant in an experiment posing as a participant to create desired social conditions.
Measurement Types
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Self-Report Measures: Utilized to gauge attitudes or judgments, reliant on participant honesty and accuracy.
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Behavioral measures: Based on direct observations of behavior, allowing for objective data collection.
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Physiological Measures: Document biological responses to gauge effects of manipulations.
Experimental Challenges
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Demand characteristics: Features of an experiment that may reveal the study's purpose, potentially biasing participant responses.
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Filler items: Used to obscure the dependent measure within a questionnaire to reduce demand characteristics.
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Placebo group: Receives an inert treatment to isolate the effects of the actual treatment.
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Single blind experiment: Participants are unaware of whether they receive a placebo or treatment, reducing bias.
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Double-blind experiment: Both participants and experimenters are unaware of group assignments, controlling bias on both sides.
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Pilot study: A preliminary trial to test the feasibility and clarity of procedures and measures before the main study.
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Manipulation check: A method to ensure the independent variable is effectively applied, contributing to the study’s construct validity.
Advanced Research Designs
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Factorial designs: Involve multiple independent variables assessed simultaneously, allowing for examination of interactions and main effects.
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Interaction: Occurs when the effect of one independent variable depends on the level of another variable.
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Moderator variable: Influences the strength or direction of the relationship between two other variables.
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Single case experimental designs: Focus on an individual's behavior over time, comparing measures before and after a manipulation.
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Baseline: Initial measurements gathered before introducing an experimental manipulation.
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Reversal design: Analyzes behavioral changes by observing before and after manipulation, and again in the baseline phase.
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Multiple Baseline Designs: Demonstrate effects of manipulation across multiple circumstances to establish treatment effectiveness.
Other Research Methodologies
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Program evaluation: Research assessing the implementation and effectiveness of programs aimed at societal improvement.
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Quasi-experimental designs: Allow for studying variable impacts without random assignment, but with challenges in drawing causal conclusions.
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One-group posttest-only design: Lacks a control group, making causal inferences difficult.
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One-Group Pretest-Posttest Design: Measures before and after a manipulation but susceptible to alternative explanation threats to validity.
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History effects: Events overlapping with experimental manipulation can confound results, complicating interpretations.
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Maturation effects: Systematic changes occurring naturally over time can distort results in research designs involving repeated measures.### Quasi-Experimental Designs
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Changes not attributable to treatment may arise due to maturation effects.
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Instrument decay occurs when measuring instruments change over time, affecting behavior measurement; this can happen due to observer skill level, fatigue, or altered standards.
Regression Toward the Mean
- Regression toward the mean occurs when participants are initially selected for extreme scores; upon retesting, scores converge towards the average.
Nonequivalent Control Group Design
- Utilizes a separate control group with non-equivalent participants; results can be confounded by selection differences.
Nonequivalent Control Group: Selection Differences
- Differences between experimental and control groups may act as confounding variables, especially if groups are formed from existing natural groups.
Nonequivalent Control Group Pretest-Posttest Design
- Enhancements to nonequivalent control group design include pretesting, although it remains non-randomized; pretest scores help assess group equivalence.
Interrupted Time Series Design
- Analyzes a variable over time before and after a manipulation to observe its impact.
Control Series Design
- An enhancement to the interrupted time series design, which incorporates a control group to strengthen validity.
Cross-Sectional Method
- Studies individuals of varying ages at a single point in time; allows comparison of performance across different age groups in a learning task.
Longitudinal Method
- Observes the same group of individuals at multiple time points as they age, allowing for analysis of changes over time.
Cohort
- Refers to a group of individuals born around the same time, sharing societal events and demographic trends, influencing their behaviors and norms.
Sequential Method
- A hybrid of longitudinal and cross-sectional methods where initial cross-sectional data is followed by longitudinal observations; allows for quicker data collection.
Replication
- Critical for confirming findings; includes both exact and conceptual replications.
Exact Replication
- Involves precise replication of study procedures to verify results, commonly used in response to unexpected findings.
Conceptual Replication
- Employs different methods or measures to replicate findings, contributing significantly to behavioral understanding; emphasizes the complexity of social science variables.
Meta-Analysis
- Combines results of multiple studies via statistical methods, focusing on effect sizes to provide a more objective comparison of findings across research.
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Description
Explore the intricacies of quasi-experimental designs, particularly focusing on the one-group posttest-only design. This quiz delves into the implications of missing comparison groups and their impact on causal inferences. Test your understanding of independent and dependent variables through targeted questions.