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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. Which coefficient is most appropriate for assessing inter-rater reliability when both raters use nominal categories?

    Answer: Cohen's kappa

    Cohen's kappa corrects for chance agreement between raters on categorical data, making it the standard for nominal inter-rater reliability.

  2. In multiple regression, multicollinearity is a problem because it:

    Answer: Makes it difficult to separate the unique contributions of correlated predictors

    High multicollinearity inflates standard errors of regression coefficients, making it hard to determine each predictor's unique contribution.

  3. The distinction between a population parameter and a sample statistic is that:

    Answer: Parameters describe populations; statistics describe samples and estimate parameters

    Parameters (e.g., μ, σ) are fixed but usually unknown values describing a population; statistics (e.g., x̄, s) are calculated from samples to estimate them.

  4. A meta-analysis synthesizes findings across studies primarily to:

    Answer: Quantitatively estimate the average effect size across multiple studies

    Meta-analysis uses statistical procedures to combine effect sizes from multiple studies, yielding a more precise overall estimate of an effect.

  5. An operational definition in research serves to:

    Answer: Specify exactly how a variable is measured or manipulated in a study

    Operational definitions translate abstract constructs into concrete, measurable procedures, enabling replication and clarity.

  6. Which of the following best describes the concept of regression to the mean?

    Answer: Extreme scores on a first measurement tend to be less extreme on a second measurement

    Regression to the mean describes the statistical tendency for extreme first-time scores to be closer to the average upon retesting, due to random error.

  7. In a chi-square test of independence, a significant result indicates that:

    Answer: The observed frequencies differ significantly from expected frequencies under independence

    A significant chi-square means the pattern of observed cell frequencies is unlikely to occur if the two categorical variables were truly independent.