← All BAPSY Flashcard Decks

Psychological Research and Statistics Flashcards

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

Read the first 7 Psychological Research and Statistics flashcards as text
  1. A researcher finds p = 0.03 with a small effect size (d = 0.15). What is the most accurate interpretation?

    Answer: The result is statistically significant but may lack practical significance

    Statistical significance (p < 0.05) does not guarantee practical importance; a tiny effect in a large sample can be significant yet trivial.

  2. Which sampling method divides the population into subgroups and randomly samples from each in proportion to their size?

    Answer: Stratified random sampling

    Stratified random sampling ensures proportional representation of subgroups by randomly selecting from each stratum.

  3. In a 2×3 factorial ANOVA, how many main effects and interactions are tested?

    Answer: 2 main effects and 1 interaction

    A 2×3 factorial ANOVA tests two main effects (one per factor) and one two-way interaction.

  4. What does a 95% confidence interval represent?

    Answer: If repeated sampling were done, 95% of such intervals would capture the true parameter

    A confidence interval is a frequentist statement about the long-run behavior of the procedure, not the probability for a single interval.

  5. Which threat to internal validity occurs when participants are tested multiple times and improve due to familiarity with the test?

    Answer: Testing effect

    The testing effect (also called practice effect) occurs when repeated exposure to the same measure improves scores independent of the treatment.

  6. A Pearson r = –0.72 between stress and immune function means:

    Answer: Higher stress is associated with lower immune function

    Correlation indicates the direction and strength of association but does not establish causation.

  7. Power analysis is used in research planning primarily to:

    Answer: Estimate the required sample size to detect an effect of a given size

    A priori power analysis uses expected effect size, alpha, and desired power (typically 0.80) to determine the minimum sample size needed.