RA Statistical Analysis and Interpretation 3

Question 1

In multiple regression analysis, what does multicollinearity refer to?

Accepted Answer

High correlation among two or more predictor variables in the model

Answer

Multicollinearity occurs when predictor variables in a regression model are highly correlated with each other, making it difficult to isolate the independent contribution of each predictor.

Question 2

Effect size in research primarily communicates:

Accepted Answer

The practical magnitude or importance of an observed difference or relationship

Answer

Effect size quantifies the practical or real-world magnitude of a research finding, providing information beyond statistical significance, which can be influenced by sample size.

Question 3

Which of the following is the correct interpretation of a statistically non-significant result (p > 0.05)?

Accepted Answer

There is insufficient evidence to reject the null hypothesis

Answer

A non-significant result means the data do not provide sufficient evidence against the null hypothesis; it does not prove the null hypothesis is true or that no effect exists.

Question 4

Data transformation in statistical analysis (e.g., log transformation) is most commonly used to:

Accepted Answer

Improve normality or stabilize variance in skewed data

Answer

Log or other transformations are applied to skewed data to better approximate a normal distribution or achieve homogeneity of variance, meeting the assumptions of parametric tests.

Question 5

A Likert scale used in research surveys is best classified as which level of measurement?

Accepted Answer

Ordinal

Answer

Likert scales produce ordered categories (e.g., Strongly Agree to Strongly Disagree) without equal or meaningful intervals between points, classifying them as ordinal data.

RA - Certified Research Assistant Practice Test

RA - Certified Research Assistant Practice Test

RA Statistical Analysis and Interpretation 3