BS

Chapter 10: Simple Experiments Flashcards

Purpose of Simple Experiments

  • Designed to test causal claims by manipulating an independent variable (IV) and measuring a dependent variable (DV).
  • Must satisfy the three criteria for causation:
    • Covariance – changes in IV are associated with changes in DV. Example: People who get more sleep (IV) tend to score higher on memory tests (DV).
    • Temporal Precedence – IV must come before DV. Example: You manipulate whether someone studies in a quiet or noisy room, then test their performance.
    • Internal Validity – no alternative explanations (confounds) for the outcome. Example: Random assignment ensures groups were equal before the manipulation.

Key Components of Experiments

  • Independent Variable (IV): What the researcher manipulates. Example: Type of lighting in a room (dim vs. bright).
  • Dependent Variable (DV): What the researcher measures. Example: Number of words recalled in a memory test.
  • Control Variables: Kept constant to ensure valid results. Example: All participants are tested at the same time of day.

Groups in Experiments

  • Treatment Group – receives the experimental condition. Example: Gets a new teaching method.
  • Control Group – receives standard or no treatment. Example: Uses traditional teaching method.
  • Placebo Group – receives a fake or inactive treatment. Example: Sugar pill in a drug study.

Threats to Internal Validity

  • Design Confound: A variable that accidentally changes along with the IV. Example: All participants in the “dim light” condition also had music playing—can't tell if light or music affected performance.
  • Selection Effects: Groups differ systematically at the start. Example: Students who self-select into morning vs. evening classes may differ in motivation.
    • Solution: Use random assignment or matched groups.
  • Unsystematic Variability: Random variation that isn’t consistent. Example: Mood differences across participants may add noise but not bias.

Types of Experimental Designs

  • Independent-Groups Design: Different people in each condition. Example: One group tries a new diet, another sticks to their usual routine.
  • Within-Groups Design: Same participants experience all conditions. Example: Everyone tries both diet plans, one after the other.
  • Posttest-Only Design: DV measured after the manipulation only. Example: Participants read a persuasive message (IV) → rate their attitude (DV).
  • Pretest/Posttest Design: DV measured before and after manipulation. Example: Measure attitudes before and after a workshop on diversity.

Real-World Examples of Simple Experiments

  • Note-Taking Study (Mueller & Oppenheimer):
    • Compared laptop vs. longhand note-taking.
    • Longhand note-takers scored better on conceptual questions.
  • Pasta Bowl Study (Wansink et al.):
    • Larger bowls = people served and ate more pasta.
  • Violent Video Game Study:
    • Participants played a violent or non-violent video game, then measured aggression using a noise-blast task.
    • Those in the violent game condition showed more aggressive behavior.

Recap: How Simple Experiments Support Causal Claims

  • Covariance → IV changes = DV changes
  • Temporal Precedence → IV comes before DV
  • Internal Validity → No confounding variables