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Research Methods & Psychological Foundations Flashcards

7 cards from real ASPPB practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Research Methods & Psychological Foundations flashcards as text
  1. A researcher finds a Pearson r = 0.65 between depression scores and sleep quality. Which conclusion is most appropriate?

    Answer: There is a moderate positive relationship between the two variables

    A correlation coefficient of 0.65 indicates a moderate positive relationship but does not imply causation.

  2. Which experimental design best controls for history effects in longitudinal research?

    Answer: Solomon four-group design

    The Solomon four-group design controls for both testing effects and history effects by including groups with and without pretests.

  3. A psychologist uses snowball sampling to recruit participants with a rare phobia. The primary limitation of this approach is:

    Answer: Non-random selection leading to limited generalizability

    Snowball sampling relies on participant referrals, producing a non-random sample that may not generalize to the broader population.

  4. In signal detection theory, a 'miss' refers to:

    Answer: Failing to detect a signal that is actually present

    A miss (false negative) occurs when a signal is present but the observer fails to detect it.

  5. Which statistical test is most appropriate when comparing means across three or more independent groups?

    Answer: One-way ANOVA

    One-way ANOVA is designed to compare means across three or more independent groups while controlling the Type I error rate.

  6. Construct validity is best evaluated by examining:

    Answer: The pattern of correlations with theoretically related and unrelated variables

    Construct validity is supported through convergent and discriminant evidence—correlating with related measures and not correlating with unrelated ones.

  7. A within-subjects (repeated measures) design increases statistical power primarily by:

    Answer: Removing individual difference variance from the error term

    Repeated measures designs use each participant as their own control, removing between-subject variability from the error term and increasing power.