Why generalized structured component analysis is not universally preferable to structural equation modeling
暂无分享,去创建一个
[1] Paul Horst,et al. Relations amongm sets of measures , 1961 .
[2] M. Bunge,et al. Scientific Research I: The Search for System , 1967 .
[3] R. P. McDonald,et al. A unified treatment of the weighting problem , 1968, Psychometrika.
[4] Forrest W. Young,et al. Additive structure in qualitative data: An alternating least squares method with optimal scaling features , 1976 .
[5] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[6] R. Bagozzi,et al. Representing and testing organizational theories: A holistic construal. , 1982 .
[7] F. Bookstein,et al. Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory , 1982 .
[8] T. Dijkstra. Some comments on maximum likelihood and partial least squares methods , 1983 .
[9] R. P. McDonald,et al. Some algebraic properties of the Reticular Action Model for moment structures. , 1984, The British journal of mathematical and statistical psychology.
[10] Roger E. Millsap,et al. On component analyses , 1985 .
[11] R. Bagozzi,et al. On the evaluation of structural equation models , 1988 .
[13] K. Widaman. Bias in Pattern Loadings Represented by Common Factor Analysis and Component Analysis. , 1990, Multivariate behavioral research.
[14] M. Browne,et al. Alternative Ways of Assessing Model Fit , 1992 .
[15] J. S. Long,et al. Testing Structural Equation Models , 1993 .
[16] Christian Homburg,et al. Applications of structural equation modeling in marketing and consumer research: A review , 1996 .
[17] P. Bentler,et al. Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .
[18] H. Winklhofer,et al. Index Construction with Formative Indicators: An Alternative to Scale Development , 2001 .
[19] M. Croon. Using Predicted Latent Scores in General Latent Struc ture M odels , 2002 .
[20] George A. Marcoulides,et al. Latent variable and latent structure models , 2002 .
[21] Rajesh Chandy. Research as innovation: Rewards, perils, and guideposts for research and reviews in marketing , 2003 .
[22] Scott B. MacKenzie,et al. Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.
[23] David J. Ketchen,et al. AN ASSESSMENT OF THE USE OF STRUCTURAL EQUATION MODELING IN STRATEGIC MANAGEMENT RESEARCH , 2004 .
[24] Y. Takane,et al. Generalized structured component analysis , 2004 .
[25] Heungsun Hwang,et al. Fuzzy Clusterwise Generalized Structured Component Analysis , 2007 .
[26] Y. Takane,et al. MULTILEVEL GENERALIZED STRUCTURED COMPONENT ANALYSIS , 2007 .
[27] M. Tenenhaus. Component-based Structural Equation Modelling , 2008 .
[28] Peter S. Fader,et al. Understanding Service Retention within and across Cohorts using Limited Information , 2008 .
[29] W. Reinartz,et al. An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM , 2009 .
[30] Heungsun Hwang,et al. Regularized Generalized Structured Component Analysis , 2009 .
[31] Jörg Henseler,et al. A Comparative Study on Parameter Recovery of Three Approaches to Structural Equation Modeling: A Rejoinder , 2010 .
[32] Heungsun Hwang,et al. Generalized Structured Component Analysis with Latent Interactions , 2010 .
[33] Marc A. Tomiuk,et al. A Comparative Study on Parameter Recovery of Three Approaches to Structural Equation Modeling , 2010 .
[34] Irene R. R. Lu,et al. Two new methods for estimating structural equation models: An illustration and a comparison with two established methods , 2011 .
[35] Marko Sarstedt,et al. An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .