Measurement Development and Validation in Research: Statistical Techniques and Illustrations

View Sample PDF

Author(s): Lihua Xu (University of Central Florida, USA)
Copyright: 2015
Pages: 28
Source title: Handbook of Research on Scholarly Publishing and Research Methods
Source Author(s)/Editor(s): Viktor Wang (Florida Atlantic University, USA)
DOI: 10.4018/978-1-4666-7409-7.ch022

Keywords: Information Science Reference / Library & Information Science / Research Methods

Purchase

View Measurement Development and Validation in Research: Statistical Techniques and Illustrations on the publisher's website for pricing and purchasing information.

Abstract

This chapter describes the importance of measurement in social research and education research. In order to validly compare across groups, whether it is age, gender, ethnicities, or cultures, measurement invariance needs to be established. This is accomplished through single-group and multi-group confirmatory factor analysis. The procedural approach is presented with a detailed illustration from real research in servant leadership in K-12 principals in the United States. Second-order confirmatory factor analysis is described due to its popularity. Procedural steps are cited, and an example is given for illustration. As a major statistical technique in instrument development, exploratory factor analysis is discussed and illustrated at the beginning of this chapter.

The IRMA Community

Research IRM

Measurement Development and Validation in Research: Statistical Techniques and Illustrations

Purchase

Abstract

Related Content

IRMA Sponsors