On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)

[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.