Unidimensional Scaling, Multidimensional Scaling and Dimension Reduction

Lectures

Dimension Reduction - Part 1: Introduction

In many cases, large number of variables need to be reduced to a smaller number of underlying dimensions–a process referred to as dimension reduction. Guest speaker Joshua Conrad Jackson introduces the concept of dimension reduction for identifying patterns in cross-cultural data. This video is Part 1 or 5.

Dimension Reduction - Part 2: Measurement Development

Guest speaker Joshua Conrad Jackson discusses the development of measures using dimension reduction techniques. This is Part 2 of 5.

Dimension Reduction - Part 3: Reliability

Guest speaker Joshua Conrad Jackson discusses reliability analyses and relevant considerations in relation to reliability in the context of dimension reduction. This is Part 3 of 5.

Dimension Reduction - Part 4: Factor Analysis

Guest speaker Joshua Conrad Jackson introduces viewers to one form of dimension reduction–factor analysis–commonly used in scale development and distinguishes between two main forms: exploratory factor analysis and confirmatory factor analysis. This is Part 4 of 5.

Dimension Reduction - Part 5: Structural Equation Modeling

Guest speaker Joshua Conrad Jackson discusses structural equation modeling techniques and introduces the concept of latent variables. Also Jackson briefly introduces other advanced methods, including network analysis, multidimensional scaling, and latent growth curves. This is part 5 of 5.