A Spline Regression Model for Latent Variables

Autor/in	Harring, Jeffrey R.
Titel	A Spline Regression Model for Latent Variables
Quelle	In: Educational and Psychological Measurement, 74 (2014) 2, S.197-213 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164413504295
Schlagwörter	Regression (Statistics); Models; Statistical Analysis; Maximum Likelihood Statistics; Computation; Structural Equation Models; Bayesian Statistics; Goodness of Fit; Least Squares Statistics + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Analogiemodell; Statistische Analyse
Abstract	Spline (or piecewise) regression models have been used in the past to account for patterns in observed data that exhibit distinct phases. The changepoint or knot marking the shift from one phase to the other, in many applications, is an unknown parameter to be estimated. As an extension of this framework, this research considers modeling the relation between endogenous and exogenous latent variables with a spline regression model, where each latent variable is measured by multiple observed indicators. Consequently, the spline regression model is modified to include a measurement model that explicitly expresses the relation of the observed variables to the latent constructs. Maximum likelihood estimation of the model is developed and executed on educational data to illustrate the utility of the model. (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10