Multiple regression, path analysis, hierarchical linear modeling, and structural equation modeling are similar in that all of them
A) incorporate multiple criterion variables into their equations.
B) involve the analysis of relationships among three or more variables.
C) do not rely on theory to determine which variables should be measured.
D) all of the above.

Question

Quizplus · Accepted Answer

These statistical techniques are similar because they all involve analyzing relationships among three or more variables. Multiple regression examines the relationship between one dependent variable and two or more independent variables. Path analysis extends multiple regression by examining more complex relationships among variables, including mediating and moderating effects. Hierarchical linear modeling (also known as multilevel modeling) is used to analyze data that are organized at more than one level (e.g., students within schools). Structural equation modeling combines features of multiple regression and factor analysis to analyze the structure of relationships among multiple variables, including latent variables. None of these methods inherently incorporate multiple criterion variables (A) or disregard theory in variable selection (C).

Multiple Regression, Path Analysis, Hierarchical Linear Modeling, and Structural Equation