Published May 3, 2015 | Version 10001434
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The Strengths and Limitations of the Statistical Modeling of Complex Social Phenomenon: Focusing on SEM, Path Analysis, or Multiple Regression Models

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This paper analyzes the conceptual framework of three statistical methods, multiple regression, path analysis, and structural equation models. When establishing research model of the statistical modeling of complex social phenomenon, it is important to know the strengths and limitations of three statistical models. This study explored the character, strength, and limitation of each modeling and suggested some strategies for accurate explaining or predicting the causal relationships among variables. Especially, on the studying of depression or mental health, the common mistakes of research modeling were discussed.

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References

  • MacCallum, R. C., & Austin, J. T. (2000). Applications of Structural Equation Modeling in Psychological Research. Annual Review of Psychology, 51(1), 201-226. doi: doi:10.1146/annurev.psych.51.1.201
  • Pedhazur, E. J. (1997). Multiple regression in behavioral research (Third ed.). Fort Worth, TX: Harcourt Brace College Publishers.
  • Darlington, R.B. (1968). Multiple Regression In Psychological Research And Practice. Psychological Bulletin, Vol 69(3), 161-182.
  • Ward, J. H. (1969).Synthesizing Regression Models -- An Aid to Learning Effective Problem Analysis,'' The American Statistician, 23, 14-20.
  • Goldberger A.S. (1991) A course in econometrics. Cambridge, MA. Harvard University Press.
  • Lewis-Beck M.S. and Skalaban A.(1991) The R-squared: Some straight talk In J. A. Stimson (Ed.) Political analysis: Vol 2. Ann Arbor MI: The University of Michigan.
  • Cohen J. and Cohen P. (1983) Applied multiple regression/correlation analysis for the behavioral sciences (2nd. Ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Mallinckrodt, B. (1992) Childhood emotional bonds with parents, development of adult social competencies, and availability of social support. Journal of Counseling Psychology, 39, 453-461.
  • Konovsky, M.A. Folger, R. &Cropanzano, R. (1987) Relative effects of procedural and distributive justice on employee attitudes. Representative Research in Social Psychology, 17, 15-24. [10] Rutter M. (2007) Proceeding from observed correlation to causal inference: the use of natural experiments, Perspectives on Psychological Science, 2 (4): 377-395 [11] Mitchell, R. J. (1992). Testing Evolutionary and Ecological Hypotheses Using Path Analysis and Structural Equation Modelling. Functional Ecology, 6(2), 123-129. [12] Petraitis, P. S., Dunham, A. E., &Niewiarowski, P. H. (1996). Inferring multiple causalities: The Limitations of Path Analysis. Functional Ecology, 10(4), 421-431. [13] Myers R. (1990). Classical and modern regression with applications 2nd ed. Duxbury Press, Boston [14] Hoyle, R.H.&Panter, A.T. (1995) Writing about structural equation models. In R.H. Hoyle (Ed.), Structural equation modeling: Comments, issues and applications. 158-176. Thousand Oaks, CA:Sage [15] Joreskog K.G. and Sorbom, D. (1993) LISREL8: Structural equation modeling with the SIMPLIS command language. Hillsdale, NJ: Lawrence Erlbaum Associates.