Lecture 5&6 PSYCH2018
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Questions and Answers

Which design type compares different groups of subjects across levels of an independent variable?

  • Between-subjects design (correct)
  • Cross-sectional design
  • Within-subjects design
  • Matched random assignment

Which factor is NOT a threat to internal validity in studies with pretests and posttests?

  • Maturation
  • History
  • Regression to the mean
  • Measurement validity (correct)

What is the purpose of random assignment in experimental research?

  • To address the equivalent groups problem (correct)
  • To ensure participants are aware of their group
  • To eliminate participant bias
  • To establish a control group

Which issue is primarily addressed by counterbalancing in within-subjects designs?

<p>Order effects (B)</p> Signup and view all the answers

What is a significant reason for using a control group in an experiment?

<p>To provide a benchmark for measurement (D)</p> Signup and view all the answers

Which aspect of ethical subject pools is emphasized by the APA guidelines?

<p>Participants must be treated well and complaints should be addressed. (D)</p> Signup and view all the answers

In within-subjects designs, carry-over effects are typically more problematic than which other type of effect?

<p>Progressive effects (C)</p> Signup and view all the answers

Why is it necessary to control for confounding variables in a study?

<p>They may obscure the true relationship between the independent and dependent variables. (A)</p> Signup and view all the answers

What is a characteristic of matched random assignment?

<p>Participants are grouped based on similar characteristics. (C)</p> Signup and view all the answers

In the context of internal validity, what does attrition refer to?

<p>The loss of participants during the study. (B)</p> Signup and view all the answers

What is an example of a manipulated independent variable?

<p>The instructions given to participants during the task (B)</p> Signup and view all the answers

Which statement correctly distinguishes between experimental and control groups?

<p>Experimental groups receive treatment while control groups have treatment withheld (D)</p> Signup and view all the answers

What problem arises from the presence of confounding variables in an experiment?

<p>They create uncertainty about the cause of observed results (D)</p> Signup and view all the answers

Which of the following best describes internal validity?

<p>The ability to control extraneous variables and establish cause-and-effect relationships (D)</p> Signup and view all the answers

According to Mill's Method of Agreement, which scenario illustrates this method?

<p>Observing that all individuals who received treatment showed improvement (B)</p> Signup and view all the answers

What characterizes a subject variable in an experiment?

<p>It represents a characteristic inherent to participants that cannot be changed (C)</p> Signup and view all the answers

Which of the following factors can threaten an experiment's external validity?

<p>The specificity of the treatments used within the experiment (B)</p> Signup and view all the answers

Under what circumstances might external validity be deemed unimportant in research?

<p>When the research focuses on a unique phenomenon (B)</p> Signup and view all the answers

What is the primary design type used in a longitudinal study?

<p>Within-subjects design (B)</p> Signup and view all the answers

Which design combines elements of both cross-sectional and longitudinal studies?

<p>Cohort sequential design (D)</p> Signup and view all the answers

What can be a consequence of the Hawthorne effect during a study?

<p>Altered behaviors due to awareness of being studied (C)</p> Signup and view all the answers

Which bias refers to the influence of experimenter's expectations on participant behavior?

<p>Experimenter bias (A)</p> Signup and view all the answers

What is one method to control for experimenter bias in research?

<p>Using double blind procedures (A)</p> Signup and view all the answers

What is an important responsibility of participants in a research study?

<p>Be actively involved in debriefing (C)</p> Signup and view all the answers

What implication does a large age difference in a cross-sectional study have?

<p>Greater likelihood of cohort effects (B)</p> Signup and view all the answers

Which technique is used to minimize demand characteristics in research?

<p>Effective deception (B)</p> Signup and view all the answers

What is the primary method used to equalize potential confounds across groups in an experiment?

<p>Random Assignment (A)</p> Signup and view all the answers

Which design allows for comparisons within the same group of subjects?

<p>Within-Subjects Design (B)</p> Signup and view all the answers

What is a key characteristic of dependent variables (DVs) in an experiment?

<p>They represent behaviors that are measured throughout the study. (A)</p> Signup and view all the answers

Which scenario best exemplifies a ceiling effect in an experiment?

<p>All participants score at the maximum on an easy task, obscuring differences. (B)</p> Signup and view all the answers

What type of order effect is specifically difficult to control and may influence results in a sequence of tasks?

<p>Carry-over effects (D)</p> Signup and view all the answers

When using subject variables, what is a vital consideration for researchers?

<p>It is impossible to determine causation between IV and DV. (B)</p> Signup and view all the answers

What method involves random sampling of all possible combinations of experimental conditions?

<p>Partial Counterbalancing (B)</p> Signup and view all the answers

Which of the following is NOT a situation where matching might be preferred over random assignment?

<p>High number of participants (A)</p> Signup and view all the answers

What is an essential aspect of statistical conclusion validity?

<p>Applying the right statistical tests and drawing correct conclusions. (D)</p> Signup and view all the answers

What type of counterbalancing tests participants in every possible order at least once?

<p>Complete counterbalancing (D)</p> Signup and view all the answers

Which statement best describes external validity?

<p>It pertains to the generalization of findings to other contexts. (C)</p> Signup and view all the answers

Which of the following pairs represents manipulated and subject variables in Bandura's Bobo study?

<p>Gender of participants; Type of exposure to violence. (C)</p> Signup and view all the answers

Which type of counterbalancing ensures that every condition occurs equally often in varying positions?

<p>Latin square design (C)</p> Signup and view all the answers

In within-subjects designs, what is the major concern that researchers must address to ensure validity?

<p>Control for individual differences (A)</p> Signup and view all the answers

What are floor effects in experimental research?

<p>When tasks are excessively difficult, resulting in low scores from all participants. (D)</p> Signup and view all the answers

What can be inferred when using both manipulated and subject IVs in a study?

<p>There may be confounding factors that complicate causality. (C)</p> Signup and view all the answers

Flashcards

Internal Validity

Does the study correctly answer the research question?

Threats to Internal Validity

Factors that might cause incorrect results relating to the research question.

Confounding Variable

An outside influence that affects the results, not the intended independent variable.

Subject Selection

Choosing participants for a study. Poor selection can bias the results.

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Ethical Subject Pools

Guidelines for recruiting and treating participants, following ethical standards.

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Between-Subjects Design

Different subjects in each condition of an independent variable.

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Random Assignment

Method to create equivalent groups in a between-subjects design by randomly assigning participants to conditions.

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Matched Random Assignment

A technique used to make groups more similar when random assignment isn't sufficient.

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Within-Subjects Design

Same subjects in all conditions of an independent variable, compared over time.

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Counterbalancing

A method to control order effects in within-subjects designs.

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Manipulated IV

A variable that is changed or manipulated by the researcher to see its effect on another variable.

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Experimental Group

The group in an experiment that receives the treatment or manipulation.

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Control Group

The group in an experiment that does not receive the treatment or manipulation; a baseline for comparison.

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Independent Variable (IV)

The variable that is manipulated or changed by the researcher.

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Dependent Variable

The variable that is measured or observed to see if it changes due to the independent variable.

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Method of Agreement

If two cases have only one factor in common, that factor is likely the cause of the effect.

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Method of Difference

If two cases differ only in one factor, that factor is likely the cause of the difference in effect.

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Subject Variable

Characteristics of participants that already exist, like age, gender, or personality. They are not manipulated by the researcher.

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Statistical Conclusion Validity

The degree to which the conclusions about relationships between variables are accurate and reasonable based on the statistical analysis.

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Construct Validity

How well the independent and dependent variables are measured or defined, and how well they truly represent the underlying concepts or constructs.

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Ceiling Effect

A type of measurement problem where the task is too easy, leading to almost all scores being high. This obscures true differences between groups.

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Matching

Consciously controlling a potential problem in an experiment by making sure the groups are similar with respect to certain characteristics.

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Order Effects

Changes in participant's responses that are a result of the order in which they experience the experimental conditions.

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Complete Counterbalancing

Testing participants with every possible order of the experimental conditions.

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Partial Counterbalancing

Testing participants with a selection of all possible orders, rather than every possible combination.

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Latin Square

A formal arrangement for partial counterbalancing to prevent order effects across all conditions.

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Cohort Effect

A difference between age groups caused by factors unique to those groups, not just their age.

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Attrition

Participants dropping out of a longitudinal study, potentially skewing the results.

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Experimenter Bias

When the researcher's expectations influence the participants' behavior.

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Hawthorne Effect

Participants changing their behavior simply because they know they are being studied.

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Demand Characteristics

Clues in a study that reveal its true purpose, influencing participants' behavior.

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Manipulation Check

A method to confirm that a manipulation in a study actually had the intended effect.

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Field Research

Conducting research in a natural setting to minimize participant bias.

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Debriefing

Explaining the true purpose of a study to participants after it's finished.

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Study Notes

Research in Psychology: Methods & Design

  • This is an eighth edition textbook for research in psychology
  • Introduces experimental research methods and design

Chapter 5: Introduction to Experimental Research

  • Chapter Objectives:
    • Describe the impact of Woodworth's 1938 Experimental Psychology on how psychologists define experiments
    • Define a manipulated independent variable and identify examples (situational, task, instructional)
    • Distinguish between experimental and control groups
    • Describe John Stuart Mill's rules of inductive logic and apply them to experimental and control groups
    • Recognize confounding variables in experiments and understand why they hinder interpretation
    • Identify independent and dependent variables in experiments
    • Differentiate between manipulated and subject variables
    • Understand interpretation issues when using subject variables
    • Recognize factors reducing statistical conclusion validity
    • Detail how construct validity applies to experimental design
    • Distinguish between internal and external validity
    • Describe factors influencing experimental external validity
    • Recognize and describe threats to internal validity
    • Understand the ethical guidelines for using subject pools

Chapter 6: Control Problems in Experimental Research

  • Chapter Objectives:
    • Distinguish between between-subjects and within-subjects designs
    • Explain how random assignment resolves equivalent groups problems in between-subjects designs
    • Explain when matched random assignment should be used to create equivalent groups
    • Understand when counterbalancing is needed to control for order effects in within-subjects designs
    • Differentiate between progressive and carry-over effects in within-subjects designs
    • Detail various forms of counterbalancing for situations with one or many repeated testing per condition
    • Describe specific types of between- and within-subject designs in developmental psychology and their problems
    • Explain how experimenter and participant biases arise and how to control them

Essential Features of Experimental Research

  • Establishing Independent Variables (IVs):
    • Manipulated IVs (e.g., situational, task, instructional)
    • Experimental groups (receive treatment)
    • Control groups (treatment withheld)
  • Controlling Extraneous Variables (Confounds):
    • Any uncontrolled variable that might influence results
    • Table 5.1 (confounding example) displays how confounding variables can influence results
  • Measuring Dependent Variables (DVs):
    • Dependent variables are behaviors measured
    • Review measurement scales
    • Recognize and control for ceiling and floor effects.
  • Subject Variables:
    • Existing attributes of subjects (e.g., gender, age, personality)
    • Example: Anxiety
      • Manipulated variable: inducing varying degrees of anxiety
      • Subject variable: selecting subjects with different degrees of anxiety
    • Research example 7: cultural differences (European Americans vs. East Asians), gender differences.
    • Figure 5.1 displays field dependance.
  • Drawing Conclusions with Subject Variables:
    • With manipulated IVs, assume no confounds, IV causes DV.
    • With subject variables, groups may differ in many ways, thus IV does not necessarily cause DV. Conclude only that groups differ from one another.
  • Using Both Manipulated and Subject IVs:
    • Example: Bandura's Bobo doll study (Box 5.2): manipulated exposure to violence, subject was gender

The Validity of Experimental Research

  • Statistical Conclusion Validity:
    • Proper statistical analyses & conclusions
  • Construct Validity:
    • Well-defined independent and dependent variables
  • External Validity:
    • Extent findings can generalize to other populations, environments, and time periods
  • Internal Validity:
    • Extent study answers its research question; valid operational definitions, valid measurements, no confounds
  • Threats to Internal Validity:
    • History, maturation, regression to the mean, testing, instrumentation
    • Importance of using a control group
    • Subject selection (Brady study, ulcers in executive monkeys), attrition

Creating Ethical Subject Pools

  • Part of the educational process
  • Must follow APA guidelines and be thoroughly described
  • IRB approval needed for projects
  • Treat students fairly, resolve complaints, no penalty for no-show.
  • Follow all aspects of APA ethics
  • Assess subject pool for appropriate participation.

Summary

  • Between- and within-subjects designs are used in experimental psychology
  • Control through random assignment, matching, counterbalancing (complete or partial) for order effects in within-subjects designs
  • Developmental designs have unique control issues
  • Researcher and participant bias need careful consideration.

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Description

Explore Chapter 5 of the eighth edition textbook on research methods in psychology. This chapter focuses on the principles of experimental research, including the definition of independent variables, the role of experimental and control groups, and the impact of confounding variables. Gain insights into how to apply John Stuart Mill's rules of inductive logic to experimental design.

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