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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

Authors: Jihye Jeon;

The Strengths And Limitations Of The Statistical Modeling Of Complex Social Phenomenon: Focusing On Sem, Path Analysis, Or Multiple Regression Models

Abstract

{"references": ["MacCallum, R. C., & Austin, J. T. (2000). Applications of Structural\nEquation Modeling in Psychological Research. Annual Review of\nPsychology, 51(1), 201-226. doi: doi:10.1146/annurev.psych.51.1.201", "Pedhazur, E. J. (1997). Multiple regression in behavioral research (Third\ned.). Fort Worth, TX: Harcourt Brace College Publishers.", "Darlington, R.B. (1968). Multiple Regression In Psychological Research\nAnd Practice. Psychological Bulletin, Vol 69(3), 161-182.", "Ward, J. H. (1969).Synthesizing Regression Models -- An Aid to\nLearning Effective Problem Analysis,'' The American Statistician, 23,\n14-20.", "Goldberger A.S. (1991) A course in econometrics. Cambridge, MA.\nHarvard University Press.", "Lewis-Beck M.S. and Skalaban A.(1991) The R-squared: Some straight\ntalk In J. A. Stimson (Ed.) Political analysis: Vol 2. Ann Arbor MI: The\nUniversity of Michigan.", "Cohen J. and Cohen P. (1983) Applied multiple regression/correlation\nanalysis for the behavioral sciences (2nd. Ed.). Hillsdale, NJ: Lawrence\nErlbaum Associates.", "Mallinckrodt, B. (1992) Childhood emotional bonds with parents,\ndevelopment of adult social competencies, and availability of social\nsupport. Journal of Counseling Psychology, 39, 453-461.", "Konovsky, M.A. Folger, R. &Cropanzano, R. (1987) Relative effects of\nprocedural and distributive justice on employee attitudes. Representative\nResearch in Social Psychology, 17, 15-24.\n[10] Rutter M. (2007) Proceeding from observed correlation to causal\ninference: the use of natural experiments, Perspectives on Psychological\nScience, 2 (4): 377-395\n[11] Mitchell, R. J. (1992). Testing Evolutionary and Ecological Hypotheses\nUsing Path Analysis and Structural Equation Modelling. Functional\nEcology, 6(2), 123-129.\n[12] Petraitis, P. S., Dunham, A. E., &Niewiarowski, P. H. (1996). Inferring\nmultiple causalities: The Limitations of Path Analysis. Functional\nEcology, 10(4), 421-431.\n[13] Myers R. (1990). Classical and modern regression with applications 2nd\ned. Duxbury Press, Boston\n[14] Hoyle, R.H.&Panter, A.T. (1995) Writing about structural equation\nmodels. In R.H. Hoyle (Ed.), Structural equation modeling: Comments,\nissues and applications. 158-176. Thousand Oaks, CA:Sage\n[15] Joreskog K.G. and Sorbom, D. (1993) LISREL8: Structural equation\nmodeling with the SIMPLIS command language. Hillsdale, NJ: Lawrence\nErlbaum Associates."]}

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.

Keywords

structural equation models, statistical modeling, Multiple regression, path analysis, social and psychological phenomenon.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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