Title
Measurement Development And Validation In Research: Statistical Techniques And Illustrations
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.
Publication Date
12-31-2014
Publication Title
Handbook of Research on Scholarly Publishing and Research Methods
Number of Pages
435-462
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.4018/978-1-4666-7409-7.ch022
Copyright Status
Unknown
Socpus ID
84957378355 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84957378355
STARS Citation
Xu, Lihua, "Measurement Development And Validation In Research: Statistical Techniques And Illustrations" (2014). Scopus Export 2010-2014. 8400.
https://stars.library.ucf.edu/scopus2010/8400