The HR manager of a chain of department stores wants to evaluate staff performance across the chain. There are ten stores in the chain and each store has six departments (Household, Food, Technology, Women's Clothes, Men's Clothes and Children's Clothes). She is interested in the performance of staff within and across departments and stores in the chain. What sort of analysis would be most appropriate?
A) Multilevel linear
B) Multiple Linear
C) Multinominal Linear
D) Multivariate Linear

Question

Quizplus · Accepted Answer

Multilevel linear analysis would be the most appropriate for this scenario as it allows for the analysis of data at multiple levels (in this case, at the department and store level). It can account for the nested structure of the data and can identify differences in performance between stores, departments, and individuals within those departments. Multiple linear regression would only allow for analysis at the individual level and would not consider the hierarchical structure of the data. Multinominal linear and multivariate linear analysis are not appropriate for this scenario as they deal with categorical and multiple dependent variables, respectively.

The HR Manager of a Chain of Department Stores Wants