Factor Analysis and Rasch Analysis

Factor analysis is confused by ordinal variables and highly correlated factors. Rasch analysis excels at constructing linearity out of ordinality and at aiding the identification of the core construct inside a fog of collinearity. This is the message of Structural Equation Modeling (3:1, 1996, Randall E. Schumacker, Ed.), a journal issue with 4 articles on the connections between Rasch and Factor analysis.

"Comparing Rasch Measurement and Factor Analysis" (Benjamin D. Wright, pp. 3-24) uses an example based on a 13 item "Strength of Principal Leadership" protocol to contrast the mathematical basis and analytic implications of the two techniques. Wright notes that both misfit to the Rasch model (dimensionality) and the extremities of the unidimensional variable are reported as minor factors by principal component analysis. Further factors are produced by accidental fluctuations in measurement error variance. When a factor cannot be confirmed or established by Rasch analysis, its existence is doubtful.[See also Comparing factor analysis and Rasch measurement, Wright B.D.]

"A Comparison of Methods for Determining Dimensionality in Rasch Measurement" (Richard M. Smith, pp. 25-40) uses simulation to investigate which technique is better at discovering dimensionality. The conclusions are simple. When the data are dominated equally by uncorrelated factors, use factor analysis. When they are dominated by highly correlated factors, use Rasch. If one factor dominates, use Rasch. This confirms Thurstone's view of factor analysis as an exploratory device for the analyst completely at a loss as to how to make sense of the data. Once a factor has been identified, however, separate its items out of the test and use Rasch analysis to analyze them further. For a complex example, see Goekoop and Zwinderman (1994).

"Finding Two Dimensions in MMPI-2 Depression" (Chih-Hung Chang, pp. 41-49) is a case study demonstrating that Rasch and Factor analysis produce similar results (mental depression and physical depression dimensions in the MMPI-2 depression scale), but that Rasch results are simpler to interpret, more stable and more informative. Factor analysis identifies closeness to the underlying variable, but not location on it. Rasch, in contrast, provides item and person location on the variable, facilitating the development of a construct theory.

"Dimensional Analyses of Complex Data" (Kathy E. Green, pp. 50- 61) notes that a vague factor structure can result in Rasch and Factor analysis suggesting different factors. [But isn't that the fun of factor analysis? If each of us use a different variance partitioning, rotation and obliqueness, then each of us can produce a different factor structure - our own personal existential "truth"!] Using several empirical data sets, Green illustrates the necessity of building from the known into the unknown. A core of items on one factor (variable) is identified. Other items are added, if possible. Then these are put to one side and another core identified. A successful core is one that can be summarized in a few words and whose items form a comprehendible ordered progression along a latent variable.

Goekoop J.G., Zwinderman A.H. (1994) Multi-dimensional hierarchic ordering of psychopathology. Acta Psychiatrica Scandinavica 90: 399-404.

For more information,
The Impact of Rasch Item Difficulty on Confirmatory Factor Analysis , S.V. Aryadoust … Rasch Measurement Transactions, 2009, 23:2 p. 1207
Confirmatory factor analysis vs. Rasch approaches: Differences and Measurement Implications, M.T. Ewing, T. Salzberger, R.R. Sinkovics … Rasch Measurement Transactions, 2009, 23:1 p. 1194-5
Conventional factor analysis vs. Rasch residual factor analysis, Wright, B.D. … 2000, 14:2 p. 753.
Rasch Analysis First or Factor Analysis First? Linacre J.M. … 1998, 11:4 p. 603.
Factor analysis and Rasch analysis, Schumacker RE, Linacre JM. … 1996, 9:4 p.470
Too many factors in Factor Analysis? Bond TG. … 1994, 8:1 p.347
Comparing factor analysis and Rasch measurement, Wright BD. … 1994, 8:1 p.350
Factor analysis vs. Rasch analysis of items, Wright BD. … 5:1 p.134


Factor analysis and Rasch analysis. Schumacker RE, Linacre JM. … Rasch Measurement Transactions, 1996, 9:4 p.470



Rasch-Related Resources: Rasch Measurement YouTube Channel
Rasch Measurement Transactions & Rasch Measurement research papers - free An Introduction to the Rasch Model with Examples in R (eRm, etc.), Debelak, Strobl, Zeigenfuse Rasch Measurement Theory Analysis in R, Wind, Hua Applying the Rasch Model in Social Sciences Using R, Lamprianou El modelo métrico de Rasch: Fundamentación, implementación e interpretación de la medida en ciencias sociales (Spanish Edition), Manuel González-Montesinos M.
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch Rasch Models for Measurement, David Andrich Constructing Measures, Mark Wilson Best Test Design - free, Wright & Stone
Rating Scale Analysis - free, Wright & Masters
Virtual Standard Setting: Setting Cut Scores, Charalambos Kollias Diseño de Mejores Pruebas - free, Spanish Best Test Design A Course in Rasch Measurement Theory, Andrich, Marais Rasch Models in Health, Christensen, Kreiner, Mesba Multivariate and Mixture Distribution Rasch Models, von Davier, Carstensen
Rasch Books and Publications: Winsteps and Facets
Applying the Rasch Model (Winsteps, Facets) 4th Ed., Bond, Yan, Heene Advances in Rasch Analyses in the Human Sciences (Winsteps, Facets) 1st Ed., Boone, Staver Advances in Applications of Rasch Measurement in Science Education, X. Liu & W. J. Boone Rasch Analysis in the Human Sciences (Winsteps) Boone, Staver, Yale Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes Rasch Models for Solving Measurement Problems (Facets), George Engelhard, Jr. & Jue Wang Statistical Analyses for Language Testers (Facets), Rita Green Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments (Facets), George Engelhard, Jr. & Stefanie Wind Aplicação do Modelo de Rasch (Português), de Bond, Trevor G., Fox, Christine M
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind Rasch Measurement: Applications, Khine Winsteps Tutorials - free
Facets Tutorials - free
Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan

To be emailed about new material on www.rasch.org
please enter your email address here:

I want to Subscribe: & click below
I want to Unsubscribe: & click below

Please set your SPAM filter to accept emails from Rasch.org

www.rasch.org welcomes your comments:

Your email address (if you want us to reply):

 

ForumRasch Measurement Forum to discuss any Rasch-related topic

Go to Top of Page
Go to index of all Rasch Measurement Transactions
AERA members: Join the Rasch Measurement SIG and receive the printed version of RMT
Some back issues of RMT are available as bound volumes
Subscribe to Journal of Applied Measurement

Go to Institute for Objective Measurement Home Page. The Rasch Measurement SIG (AERA) thanks the Institute for Objective Measurement for inviting the publication of Rasch Measurement Transactions on the Institute's website, www.rasch.org.

Coming Rasch-related Events
Oct. 4 - Nov. 8, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Jan. 17 - Feb. 21, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
May 16 - June 20, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 20 - July 18, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Facets), www.statistics.com
Oct. 3 - Nov. 7, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com

 

The URL of this page is www.rasch.org/rmt/rmt94k.htm

Website: www.rasch.org/rmt/contents.htm