Psychometrics and Multivariate Analysis

English
DRE 1011
6 Credits

Introduction

The course is a thorough examination of the basics of multivariate statistics and structural equation modeling (SEM). SEM is a very general and flexible analysis approach that combines path analysis and confirmatory factor analysis with the ability to model complex hypothesis relevant for researchers in sociology, psychology, marketing, strategy, education and economics.

Course content

Module 1

Univariate Regression analysis and Analysis of Variance
Classification: Logistic Regression/Probit Regression and Discriminant analysis

Multivariate Regression analysis
EFA (Exploratory factor analysis) and PCA (Principal Component Analysis)

Module 2

CFA (Confirmatory factor analysis)
MTMM models
SEM (Structural Equation Modeling)
Multigroup Analysis
Longitudinal SEM

Disclaimer

This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.