Hypothesis Formulation, Model Interpretation, and Model Equivalence: Implications of a Mereological Causal Interpretation of Structural Equation Models

Autor/in	Markus, Keith A.
Titel	Hypothesis Formulation, Model Interpretation, and Model Equivalence: Implications of a Mereological Causal Interpretation of Structural Equation Models
Quelle	In: Multivariate Behavioral Research, 43 (2008) 2, S.177-209 (33 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Research Design; Structural Equation Models; Data Analysis; Causal Models; Probability; Intervention; Social Science Research + Suchen Sie Ihr Suchwort? Forschungsdesign; Auswertung; Kausalanalyse; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Social scientific research; Sozialwissenschaftliche Forschung
Abstract	One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts determines the state of the whole. This interpretation shares several properties with efficient causal interpretations but also differs in terms of other important properties. The availability of alternative causal interpretations of the same statistical models has implications for hypothesis specification, research design, causal inference, data analysis, and the interpretation of research results. (Contains 1 footnote, 2 figures, and 5 tables.) (As Provided).
Anmerkungen	Lawrence Erlbaum. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals/default.html
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10