Q.1 Which type of validity refers to the extent to which a test measures the theoretical construct it intends to measure in psychological research?
Content validity reflecting item coverage adequacy
Construct validity reflecting theoretical accuracy
Face validity reflecting superficial appearance
Criterion validity reflecting outcome prediction
Explanation - Construct validity assesses whether a test truly measures the psychological construct it is intended to measure, beyond surface or predictive aspects.
Correct answer is: Construct validity reflecting theoretical accuracy
Q.2 In psychometric assessment, Cronbach’s alpha is primarily used to estimate which property of a measurement scale?
Temporal stability across repeated testing occasions
Internal consistency among scale items responses
Predictive validity against external criteria outcomes
Inter-rater agreement among multiple independent raters
Explanation - Cronbach’s alpha measures how closely related a set of items are, indicating internal consistency reliability.
Correct answer is: Internal consistency among scale items responses
Q.3 Which phenomenon occurs when researchers selectively report statistically significant findings while ignoring non-significant results?
Publication bias favoring positive outcome studies
P-hacking through selective analytical flexibility
Regression dilution from measurement error inflation
Sampling drift due to random participant selection
Explanation - P-hacking involves manipulating analyses or selectively reporting results to achieve statistically significant outcomes.
Correct answer is: P-hacking through selective analytical flexibility
Q.4 A Type I error in hypothesis testing occurs when a researcher does which of the following?
Fails to reject a false null hypothesis incorrectly
Rejects a true null hypothesis incorrectly
Accepts an alternative hypothesis without testing
Ignores statistical assumptions during analysis
Explanation - A Type I error occurs when a true null hypothesis is wrongly rejected, also known as a false positive.
Correct answer is: Rejects a true null hypothesis incorrectly
Q.5 In a factorial experimental design, what is primarily examined through interaction effects?
Independent effects of single predictor variables
Combined effects of multiple independent variables
Random variability across participant subgroups
Measurement error across repeated test trials
Explanation - Interaction effects examine how two or more independent variables jointly influence a dependent variable.
Correct answer is: Combined effects of multiple independent variables
Q.6 Which of the following best describes a confounding variable in experimental psychology?
A variable that mediates the experimental outcome
A variable correlated with both IV and DV
A variable randomly assigned across conditions
A variable measured after outcome assessment
Explanation - A confound is an extraneous variable that is related to both the independent and dependent variables, threatening validity.
Correct answer is: A variable correlated with both IV and DV
Q.7 Random assignment in experimental design primarily serves to achieve which methodological goal?
Ensuring equal group means across all variables
Eliminating all measurement error completely
Balancing unknown confounding variables across groups
Guaranteeing statistically significant results obtained
Explanation - Random assignment helps distribute confounding variables evenly, improving internal validity.
Correct answer is: Balancing unknown confounding variables across groups
Q.8 In double-blind studies, which parties are typically unaware of group assignments?
Only participants receiving experimental interventions
Only researchers collecting behavioral observations
Both participants and experimenters interacting directly
Data analysts reviewing statistical output files
Explanation - Double-blind designs prevent both participants and experimenters from knowing group allocation to reduce bias.
Correct answer is: Both participants and experimenters interacting directly
Q.9 Cohen’s d is most appropriately used to quantify which aspect of a research finding?
Statistical significance of group differences observed
Magnitude of standardized mean difference between groups
Probability of Type II error in hypothesis testing
Correlation strength between categorical variables
Explanation - Cohen’s d measures effect size by standardizing the difference between two means.
Correct answer is: Magnitude of standardized mean difference between groups
Q.10 Statistical power in hypothesis testing is best defined as the probability of:
Rejecting a false null hypothesis correctly
Failing to reject a false null hypothesis
Obtaining biased sample estimates consistently
Avoiding all Type I errors in analysis
Explanation - Power is the probability of correctly detecting an effect when it truly exists.
Correct answer is: Rejecting a false null hypothesis correctly
Q.11 In mediation analysis, the mediator variable is best described as:
A variable that moderates strength of relationship
A variable explaining causal pathway between variables
A variable randomly assigned in experimental design
A variable unrelated to dependent variable outcomes
Explanation - A mediator explains how or why an independent variable affects a dependent variable.
Correct answer is: A variable explaining causal pathway between variables
Q.12 Which assumption is essential for valid interpretation of linear regression models?
Normal distribution of independent variable values
Linear relationship between predictors and outcome
Equal sample sizes across all study conditions
Perfect multicollinearity among predictor variables
Explanation - Linear regression assumes a linear relationship between independent variables and the dependent variable.
Correct answer is: Linear relationship between predictors and outcome
Q.13 A key limitation of correlational research is its inability to establish:
Statistical association between measured variables
Predictive relationships across sample populations
Causal relationships between observed variables
Reliable measurement of psychological constructs
Explanation - Correlational designs cannot infer causation due to lack of experimental control.
Correct answer is: Causal relationships between observed variables
Q.14 Which sampling method involves dividing a population into subgroups and randomly selecting from each?
Convenience sampling based on availability access
Stratified sampling ensuring subgroup representation
Snowball sampling through participant referrals
Systematic sampling using fixed interval selection
Explanation - Stratified sampling ensures representation of key subgroups within a population.
Correct answer is: Stratified sampling ensuring subgroup representation
Q.15 Internal validity in an experiment is most directly threatened by which issue?
Random sampling error in large populations
Confounding variables influencing outcome measures
Large sample sizes increasing statistical power
High external generalizability of findings
Explanation - Confounds threaten internal validity by introducing alternative explanations for observed effects.
Correct answer is: Confounding variables influencing outcome measures
Q.16 External validity refers to the extent to which research findings:
Are statistically significant across analyses
Can be generalized beyond study conditions
Are free from measurement error bias
Reflect internal consistency of instruments
Explanation - External validity concerns generalizability of results to other populations and settings.
Correct answer is: Can be generalized beyond study conditions
Q.17 Which design is most appropriate when random assignment is not feasible but causal inference is still attempted?
True experimental randomized controlled trial design
Quasi-experimental non-random assignment design
Pure correlational observational study design
Descriptive survey cross-sectional design method
Explanation - Quasi-experiments attempt causal inference without random assignment.
Correct answer is: Quasi-experimental non-random assignment design
Q.18 Which assumption is required for valid interpretation of ANOVA results?
Homogeneity of variances across compared groups
Perfect correlation among dependent variables measured
Non-normal distribution of residual error terms
Equal regression slopes across all predictors
Explanation - ANOVA assumes equal variances across groups to ensure valid F-test interpretation.
Correct answer is: Homogeneity of variances across compared groups
Q.19 Heteroscedasticity in regression analysis refers to:
Equal variance of residuals across predictors
Unequal variance of residuals across predictors
Perfect linearity between variables measured
Random distribution of categorical predictors
Explanation - Heteroscedasticity occurs when residual variance is not constant across levels of predictors.
Correct answer is: Unequal variance of residuals across predictors
Q.20 Which scale of measurement allows meaningful ranking but not equal intervals between values?
Nominal scale representing categorical labels only
Ordinal scale representing ranked order positions
Interval scale representing equal numerical distances
Ratio scale representing absolute zero presence
Explanation - Ordinal scales allow ranking but do not assume equal intervals between values.
Correct answer is: Ordinal scale representing ranked order positions
Q.21 Structural Equation Modeling (SEM) is primarily used to:
Estimate simple linear correlations between variables
Test complex latent variable structural relationships
Compute descriptive statistics for survey data sets
Perform basic t-tests between two independent groups
Explanation - SEM allows modeling of latent constructs and their relationships simultaneously.
Correct answer is: Test complex latent variable structural relationships
Q.22 In meta-analysis, the I² statistic is used to assess:
Effect size magnitude across combined studies
Degree of heterogeneity among study results
Statistical power across pooled datasets
Confidence interval width across samples
Explanation - I² quantifies variability in effect sizes due to heterogeneity rather than chance.
Correct answer is: Degree of heterogeneity among study results
Q.23 A cross-sectional study differs from a longitudinal study primarily in that it:
Measures variables at one point in time
Follows participants over extended time periods
Randomly assigns participants to conditions
Manipulates independent variables experimentally
Explanation - Cross-sectional studies collect data at a single time point, unlike longitudinal designs.
Correct answer is: Measures variables at one point in time
Q.24 Demand characteristics in psychological experiments refer to:
Participants altering behavior due to perceived expectations
Experimenters biasing statistical analysis procedures
Random noise affecting measurement precision levels
Sampling error across population selection methods
Explanation - Demand characteristics occur when participants change behavior based on perceived study purpose.
Correct answer is: Participants altering behavior due to perceived expectations