A researcher wants to predict years of employment based on age and number of college courses completed. Which one of the following procedures is recommended given this scenario?
A) discriminant analysis
B) multilevel modeling
C) multiple linear regression
D) propensity score analysis

Question

Quizplus · Accepted Answer

Multiple linear regression is the best choice because the researcher wants to predict a continuous outcome variable (years of employment) based on multiple predictor variables (age and number of college courses completed). Disciminant analysis is used to classify observations into groups based on predictor variables, but that is not the case in this scenario. Multilevel modeling is used when there is nested data, which is when observations are nested within groups or clusters, but that is not mentioned in this scenario. Propensity score analysis is used to adjust for selection bias in observational studies, which is not relevant in this scenario. Therefore, multiple linear regression is the most appropriate procedure for this research question.

A Researcher Wants to Predict Years of Employment Based on Age