Literaturnachweis - Detailanzeige
| Autor/inn/en | Harring, Jeffrey R.; Weiss, Brandi A.; Hsu, Jui-Chen |
|---|---|
| Titel | A Comparison of Methods for Estimating Quadratic Effects in Nonlinear Structural Equation Models |
| Quelle | In: Psychological Methods, 17 (2012) 2, S.193-214 (22 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1082-989X |
| DOI | 10.1037/a0027539 |
| Schlagwörter | Structural Equation Models; Geometric Concepts; Computation; Comparative Analysis; Monte Carlo Methods; Statistical Analysis; Regression (Statistics); Reliability; Simulation; Error Patterns; Grade 4; Error of Measurement |
| Abstract | Two Monte Carlo simulations were performed to compare methods for estimating and testing hypotheses of quadratic effects in latent variable regression models. The methods considered in the current study were (a) a 2-stage moderated regression approach using latent variable scores, (b) an unconstrained product indicator approach, (c) a latent moderated structural equation method, (d) a fully Bayesian approach, and (e) marginal maximum likelihood estimation. Of the 5 estimation methods, it was found that overall the methods based on maximum likelihood estimation and the Bayesian approach performed best in terms of bias, root-mean-square error, standard error ratios, power, and Type I error control, although key differences were observed. Similarities as well as disparities among methods are highlight and general recommendations articulated. As a point of comparison, all 5 approaches were fit to a reparameterized version of the latent quadratic model to educational reading data. (Contains 5 figures, 2 footnotes and 8 tables.) (As Provided). |
| Anmerkungen | American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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