On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)
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[1] Marko Sarstedt,et al. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .
[2] Peter M Bentler,et al. On Components, Latent Variables, PLS and Simple Methods: Reactions to Rigdon's Rethinking of PLS. , 2014, Long range planning.
[3] Marko Sarstedt,et al. PLS-SEM: Looking Back and Moving Forward , 2014 .
[4] J. Robins. Partial Least Squares Revisited , 2014 .
[5] T. Dijkstra. PLS' Janus Face – Response to Professor Rigdon's ‘Rethinking Partial Least Squares Modeling: In Praise of Simple Methods’ , 2014 .
[6] Detmar W. Straub,et al. Common Beliefs and Reality About PLS , 2014 .
[7] Marko Sarstedt,et al. Applying the future time perspective scale to advertising research , 2014 .
[8] Arun Rai,et al. Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats , 2013, MIS Q..
[9] Marko Sarstedt,et al. PLS path modeling and evolutionary segmentation , 2013 .
[10] T. C. Melewar,et al. Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities , 2013 .
[11] Marko Sarstedt,et al. Goodness-of-fit indices for partial least squares path modeling , 2013, Comput. Stat..
[12] Marko Sarstedt,et al. Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance , 2013 .
[13] D. Ketchen. A Primer on Partial Least Squares Structural Equation Modeling , 2013 .
[14] Marko Sarstedt,et al. An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .
[15] Marko Sarstedt,et al. The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications , 2012 .
[16] Edward E. Rigdon,et al. Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods , 2012 .
[17] Joseph F. Hair,et al. Editorial - Partial Least Squares: The Better Approach to Structural Equation Modeling? , 2012 .
[18] Wynne W. Chin,et al. When Imprecise Statistical Statements Become Problematic: A Response to Goodhue, Lewis, and Thompson , 2012, MIS Q..
[19] William Lewis,et al. Comparing PLS to Regression and LISREL: A Response to Marcoulides, Chin, and Saunders , 2012, MIS Q..
[20] D. Straub,et al. Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .
[21] A. Diamantopoulos,et al. Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective , 2012 .
[22] Jörg Henseler,et al. Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling , 2012, Eur. J. Inf. Syst..
[23] Marko Sarstedt,et al. PLS-SEM: Indeed a Silver Bullet , 2011 .
[24] A. Tenenhaus,et al. Regularized Generalized Canonical Correlation Analysis , 2011, Eur. J. Oper. Res..
[25] M. Sarstedt,et al. Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments? , 2011 .
[26] Marc A. Tomiuk,et al. A Comparative Study on Parameter Recovery of Three Approaches to Structural Equation Modeling , 2010 .
[27] M. Sarstedt,et al. Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies , 2010 .
[28] Galit Shmueli,et al. Predictive Analytics in Information Systems Research , 2010, MIS Q..
[29] W. Reinartz,et al. An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM , 2009 .
[30] Marko Sarstedt,et al. Market segmentation with mixture regression models: Understanding measures that guide model selection , 2008 .
[31] M. Sarstedt. A review of recent approaches for capturing heterogeneity in partial least squares path modelling , 2008 .
[32] J. Colquitt,et al. TRENDS IN THEORY BUILDING AND THEORY TESTING: A FIVE-DECADE STUDY OF THE ACADEMY OF MANAGEMENT JOURNAL , 2007 .
[33] Mohamed Hanafi,et al. PLS Path modelling: computation of latent variables with the estimation mode B , 2007, Comput. Stat..
[34] Herman Wold. Partial Least Squares , 2006 .
[35] Michael Eisenstein,et al. Long range planning , 2005, Nature Methods.
[36] A. Tomarken,et al. Potential problems with "well fitting" models. , 2003, Journal of abnormal psychology.
[37] Frank Huber,et al. Capturing Customer Heterogeneity using a Finite Mixture PLS Approach , 2002 .
[38] J. Wooldridge. Introductory Econometrics: A Modern Approach , 1999 .
[39] S. Green,et al. A Monte Carlo Investigation of Methods for Controlling Type I Errors with Specification Searches in Structural Equation Modeling. , 1998, Multivariate behavioral research.
[40] R. Mcdonald. Path Analysis with Composite Variables. , 1996, Multivariate behavioral research.
[41] Adamantios Diamantopoulos,et al. Modelling with LISREL: A guide for the uninitiated , 1994 .
[42] R. MacCallum,et al. The use of causal indicators in covariance structure models: some practical issues. , 1993, Psychological bulletin.
[43] J. S. Long,et al. Testing Structural Equation Models , 1993 .
[44] Christian Homburg,et al. Covariance structure analysis via specification searches , 1992 .
[45] Samuel B. Bacharach,et al. Organizational Theories: Some Criteria for Evaluation , 1989 .
[46] Jan-Bernd Lohmöller,et al. Latent Variable Path Modeling with Partial Least Squares , 1989 .
[47] James C. Anderson,et al. STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .
[48] A. Greenwald,et al. Under what conditions does theory obstruct research progress? , 1986, Psychological review.
[49] J Cohen,et al. Set Correlation As A General Multivariate Data-Analytic Method. , 1982, Multivariate behavioral research.
[50] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[51] S. Geisser. A predictive approach to the random effect model , 1974 .
[52] Joseph F. Hair,et al. Common Beliefs and Reality about Partial Least Squares : Comments on Rönkkö and Evermann , 2016 .
[53] Marko Sarstedt,et al. Genetic algorithm segmentation in partial least squares structural equation modeling , 2013, OR Spectrum.
[54] Detmar W. Straub,et al. Common Beliefs and Reality About Partial Least Squares: Comments on Rönkkö & Evermann (2013) , 2014 .
[55] P. Coelho,et al. Likelihood and PLS Estimators for Structural Equation Modeling: An Assessment of Sample Size, Skewness and Model Misspecification Effects , 2013 .
[56] Marko Sarstedt,et al. Using partial least squares path modeling in international advertising research: basic concepts and recent issues , 2012 .
[57] Joerg Henseler. Why generalized structured component analysis is not universally preferable to structural equation modeling , 2012 .
[58] Richard P. Bagozzi,et al. Specification, evaluation, and interpretation of structural equation models , 2012 .
[59] T. Dijkstra. Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares , 2010 .
[60] Wynne W. Chin. How to Write Up and Report PLS Analyses , 2010 .
[61] Rudolf R. Sinkovics,et al. The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .
[62] Michel Tenenhaus,et al. PLS path modeling , 2005, Comput. Stat. Data Anal..
[63] H Pashler,et al. How persuasive is a good fit? A comment on theory testing. , 2000, Psychological review.
[64] P. Bentler,et al. Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .
[65] Wynne W. Chin. The partial least squares approach for structural equation modeling. , 1998 .
[66] P. Bentler,et al. Model Modification in Covariance Structure Modeling: A Comparison among Likelihood Ratio, Lagrange Multiplier, and Wald Tests. , 1990, Multivariate behavioral research.
[67] N. Cliff. Some Cautions Concerning The Application Of Causal Modeling Methods. , 1983, Multivariate behavioral research.
[68] Herman Wold,et al. Soft modelling: The Basic Design and Some Extensions , 1982 .
[69] Claes Fornell,et al. A second generation of multivariate analysis , 1982 .
[70] G. Shmueli. To Explain or To Predict? , 2010, 1101.0891.