Hyuncheol Kang

doi:10.4040/jkan.2013.43.5.587

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Original Article
A Guide on the Use of Factor Analysis in the Assessment of Construct Validity: Hyuncheol Kang; Journal of Korean Academy of Nursing 2013;43(5):587-594.
DOI: https://doi.org/10.4040/jkan.2013.43.5.587
Published online: October 31, 2013

Department of Informational Statistics, Hoseo University, Asan, Korea.

Address reprint requests to: Kang, Hyuncheol. Department of Informational Statistics, Hoseo University, 20 Hoseo-ro 79 beon-gil, Asan 336-795, Korea. Tel: +82-41-540-5902, Fax: +82-41-540-5908, hychkang@hoseo.edu

• Received: August 16, 2013 • Accepted: September 17, 2013

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Abstract
REFERENCES

Abstract

Purpose
The purpose of this study is to provide researchers with a simplified approach to undertaking exploratory factor analysis for the assessment of construct validity.
Methods
All articles published in 2010, 2011, and 2012 in Journal of Korean Academy of Nursing were reviewed and other relevant books and articles were chosen for the review.
Results
In this paper, the following were discussed: preliminary analysis process of exploratory factor analysis to examine the sample size, distribution of measured variables, correlation coefficient, and results of KMO measure and Bartlett's test of sphericity. In addition, other areas to be considered in using factor analysis are discussed, including determination of the number of factors, the choice of rotation method or extraction method of the factor structure, and the interpretation of the factor loadings and explained variance.
Conclusion
Content validity is the degree to which elements of an assessment instrument are relevant to and representative of the targeted construct for a particular assessment purpose. This measurement is difficult and challenging and takes a lot of time. Factor analysis is considered one of the strongest approaches to establishing construct validity and is the most commonly used method for establishing construct validity measured by an instrument.
Keywords: Factor analysis; Construct validity; Sample size; Communality; Factor loading

REFERENCES

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Table 1

The Number of Cases, Variables, and Factors in the Papers of JKAN (2010-2012)

Table 2

Descriptive Statistics from an Example

CV=(SD / Mean)×100(%).

Table 3

Eigenvalues and Explained Variance (SPSS output)

Table 4

χ² Test for the Number of Factors (SAS output)

Table 5

Factor Loadings, Communalities, and Explained Variances

Orthogonal varimax rotation method is used.

Figure & Data

REFERENCES

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A Guide on the Use of Factor Analysis in the Assessment of Construct Validity

J Korean Acad Nurs. 2013;43(5):587-594. Published online October 31, 2013

DOI: https://doi.org/10.4040/jkan.2013.43.5.587

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A Guide on the Use of Factor Analysis in the Assessment of Construct Validity

Table 1

The Number of Cases, Variables, and Factors in the Papers of JKAN (2010-2012)

Table 2

Descriptive Statistics from an Example

CV=(SD / Mean)×100(%).

Table 3

Eigenvalues and Explained Variance (SPSS output)

Table 4

χ² Test for the Number of Factors (SAS output)

Table 5

Factor Loadings, Communalities, and Explained Variances

Orthogonal varimax rotation method is used.

Table 1 The Number of Cases, Variables, and Factors in the Papers of JKAN (2010-2012)

Table 2 Descriptive Statistics from an Example

CV=(SD / Mean)×100(%).

Table 3 Eigenvalues and Explained Variance (SPSS output)

Table 4 χ2 Test for the Number of Factors (SAS output)

Table 5 Factor Loadings, Communalities, and Explained Variances

Orthogonal varimax rotation method is used.