TY - JOUR
T1 - Formulating Clinical Research Hypotheses as Structural Equation Models
T2 - A Conceptual Overview
AU - Hoyle, Rick H.
AU - Smith, Gregory T.
PY - 1994/6
Y1 - 1994/6
N2 - Structural equation modeling is a comprehensive, flexible approach to research design and data analysis. Although in recent years there has been phenomenal growth in the literature on technical aspects of structural equation modeling, relatively little attention has been devoted to conceiving research hypotheses as structural equation models. The aim of this article is to provide a conceptual overview of clinical research hypotheses that invite evaluation as structural equation models. Particular attention is devoted to hypotheses that are not adequately evaluated using traditional statistical models.
AB - Structural equation modeling is a comprehensive, flexible approach to research design and data analysis. Although in recent years there has been phenomenal growth in the literature on technical aspects of structural equation modeling, relatively little attention has been devoted to conceiving research hypotheses as structural equation models. The aim of this article is to provide a conceptual overview of clinical research hypotheses that invite evaluation as structural equation models. Particular attention is devoted to hypotheses that are not adequately evaluated using traditional statistical models.
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U2 - 10.1037/0022-006X.62.3.429
DO - 10.1037/0022-006X.62.3.429
M3 - Article
C2 - 8063970
AN - SCOPUS:0028283556
SN - 0022-006X
VL - 62
SP - 429
EP - 440
JO - Journal of Consulting and Clinical Psychology
JF - Journal of Consulting and Clinical Psychology
IS - 3
ER -
