Quantitative Research & Statistics Flashcards
7 cards from real CSP practice questions. Tap to flip, then mark Knew It or Still Learning โ missed cards come back until you master them.
Read the first 7 Quantitative Research & Statistics flashcards as text
Which sampling method involves dividing a population into subgroups and randomly selecting from each subgroup proportionally?
Answer: Stratified random sampling
Stratified random sampling divides the population into strata (subgroups) and draws random samples from each stratum, ensuring representation of all subgroups.
A Type II error in hypothesis testing occurs when a researcher:
Answer: Fails to reject a false null hypothesis
A Type II error (false negative) occurs when the null hypothesis is actually false but the researcher fails to reject it, missing a real effect.
In regression analysis, multicollinearity refers to:
Answer: High correlations among independent variables
Multicollinearity occurs when two or more independent variables in a regression model are highly correlated, making it difficult to isolate each variable's unique effect.
A z-score of -2.0 indicates that the observation is:
Answer: Two standard deviations below the mean
A z-score of -2.0 means the observation lies two standard deviations below the mean of its distribution.
Which statistical test is most appropriate to compare the means of three or more independent groups?
Answer: One-way ANOVA
One-way ANOVA (Analysis of Variance) is designed to compare means across three or more independent groups while controlling the overall Type I error rate.
A researcher reports that their finding is significant at p < 0.01. This means:
Answer: There is less than a 1% probability of obtaining these results if the null hypothesis were true
p < 0.01 means there is less than a 1% probability of observing results as extreme as these if the null hypothesis were actually true.
Content validity in a sociological survey instrument refers to:
Answer: The extent to which items adequately represent all facets of the concept being measured
Content validity assesses whether the items in a measure comprehensively cover the full domain of the theoretical concept being studied.