中国人文社会科学核心期刊

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Volume 15 Issue 1
Jan.  2021
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Article Contents

doi: 10.16382/j.cnki.1000-5560.1997.01.005
  • Publish Date: 1997-03-01
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  • [1]
    Bentler, P. M. (1993). EQS Structural Equation Program Manual. Los Angeles: BMDP Statistical Software, Inc.
    [2]
    Chambliss, D. J. & Dunlap, W. P. (1993). Experimental Design and Analysis. Custom Publishing Series.
    [3]
    Cohen, J. (1994). The Earth is Round (P < 0.5). American Psychologist. 49, pp. 997-1003.
    [4]
    Glass, G. V. (1976) Primary, Secondary, and Meta-Analysis of Research. Educational Resercher, 5, pp. 3-8.
    [5]
    Glass, G. V., McGaw, B., & Smith, M. L. (1981). Meta-Analysis in Social Research.Beverly Hill. CA: Sage.
    [6]
    Hoyle, R. H. (1995). Structural Equation Modeling: Concepts, Issues, and Applications. Thousand Oaks, CA: Sage.
    [7]
    Hoyle, R. H. (1995b). The Structural Equation Modeling Approach: Basic Concepts and Fun-damental Issues. In R. H. Hoyle (Ed), Structural Eqution Modeling: Concepts, Issues, and Applications. Thoursand Oaks, CA: Sage..
    [8]
    Hunter, J. E. & Schmidt (1990).Method of Meta -Analysis. Newbury Park, CA: Sage.
    [9]
    Hu, Li-tze & Bentler, P. M. (1995). Eraluating Model Fit. In R. H. Hoyle (Ed)., Structural Equation Modeling: Concepts, Issues and Applocations. Thousand Oaks, CA: Sage.Joreskog, K. G. (1973). A General Method for Estimating a Linear Structural Equation Sys-tem. In A S. Goldberger & O. D. Duncan (Eds.) Structural Equation Models in the Social Science. (pp. 85-112). New York: Academic.
    [10]
    Karau, S, J. & Williams, K. D. (1993). Social Loafing: A Meta-Analysis Revier and Theoretical Integration. Journal of Personality and Social Psychology, 65, pp681 -706.
    [11]
    Lamb, W, K. & Whitla, D. K. (1983) Meta-Analysis and the Integration of Research Find-ings: A Trend Analysis and Bibliography prior to 1983. Unpublished manuscript, Harvard University, Cambridge, MA.
    [12]
    Lipsey, M. W. & Wilson, D. B. (1993). The Efficacy of Psychological, , Educational, and Behavioral Treatment : Confirmation from Meta-Analysis. American Psychologist, 48, pp.1181-1209.
    [13]
    Marsh, H. W., Hau, Kit-Tai, Roche, L., Craven, R., Balla, J., & McInerney, V.(1994). Problems in the Application of Structural Equation modeling :Comment om Randhawa, Beamer, and Lundberg (1993). Journal of Educational Psychology, 86, 457 -462.
    [14]
    Maxwell, S. E. & Delaney, H. D. (1990) Designing Experiments and Analyxing Data: A Model Comparison Perspective. Belmont, CA: Wadsworth Publishing Company.
    [15]
    Mayekawa, Shin-Ichi (1994). Equivalent Path Models in Linear Structural Equation Models.Behaviormetrika, 21, 79-96.
    [16]
    Mayne, T. J., Norcross, J. C., & Sayette, M. A. (1994).Admission Requirement, Acceptance Rates, and Financial Assistance in Clinical Psychololgy Programs: Diversity Across the Prac-tice Rsearch Continuum. American Psychologist, 49, 806-811.
    [17]
    Randhawa, B. S. & Beamer, J. E. (1994). Structural Equation Modeling: Reply to Marsh et al. (1994). Journal of Educational Psychology, 86, 463 -466.
    [18]
    Schmidt, F. L. & Hunter, J. E (1981). Validity Generalization Results for Trwo Job Groups in the Petroleum Industry, Journal of Applied Psychology, 66, 261 -273.
    [19]
    Schmidt, F. L. (1996). Statistical Significance Testing and Cumulative Knowledge in Psychol-ogy: Implications for Training of Researchers. Psychological Methods, 1, 115-129.
    [20]
    Sielgel, s. (1988). Nonparametric Statistics for the Behavioral Science. New York : McGraw-Hill.
    [21]
    Stelzl, I (1986). Changing a Causal Hypothesis without Changing the Fit:Some Rules for Gen-erating Path Models. Multivariate Behavioral Research, 21, 309-331.
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