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
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.
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.
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.
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.
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.
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.
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.