IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Scale Development and Factor Analysis

Scale Development and Factor Analysis
View Sample PDF
Author(s): Lihua Xu (Western Carolina University, USA)
Copyright: 2019
Pages: 25
Source title: Scholarly Publishing and Research Methods Across Disciplines
Source Author(s)/Editor(s): Viktor Wang (Grand Canyon University, USA)
DOI: 10.4018/978-1-5225-7730-0.ch008

Purchase

View Scale Development and Factor Analysis on the publisher's website for pricing and purchasing information.

Abstract

Scale development is an important step in empirical research. This chapter describes the common procedures to follow in scale development with essential factor analytical methods. The concept of measurement invariance, the importance of its testing prior to group comparisons, and testing procedures are discussed. Single-group, multi-group, and hierarchical confirmatory factor analytical methods and associated decision making are described. Procedural steps in scale development and measurement invariance testing are illustrated at length using a real dataset in stereotype threat and principals' leadership style in the United States.

Related Content

Tutita M. Casa, Fabiana Cardetti, Madelyn W. Colonnese. © 2024. 14 pages.
R. Alex Smith, Madeline Day Price, Tessa L. Arsenault, Sarah R. Powell, Erin Smith, Michael Hebert. © 2024. 19 pages.
Marta T. Magiera, Mohammad Al-younes. © 2024. 27 pages.
Christopher Dennis Nazelli, S. Asli Özgün-Koca, Deborah Zopf. © 2024. 31 pages.
Ethan P. Smith. © 2024. 22 pages.
James P. Bywater, Sarah Lilly, Jennifer L. Chiu. © 2024. 20 pages.
Ian Jones, Jodie Hunter. © 2024. 20 pages.
Body Bottom