Publications

The following publications on variance-based structural equation modeling are freely available: 

  • Henseler, Jörg (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of Advertising, 46 (1), 178-192, doi:10.1080/00913367.2017.1281780 (click here to download).
  • Henseler, Jörg; Hubona, Geoffrey; Ray, Pauline Ash (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116 (1), 2-20, doi:10.1108/IMDS-09-2015-0382 (click here to download).
  • Riel, Allard C. R. van; Henseler, Jörg; Kemény, Ildikó; Sasovova, Zuzana (2017). Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors. Industrial Management & Data Systems, 117 (3), 459-477, doi:10.1108/IMDS-07-2016-0286 (click here to download).
  • Rodriguez-Entrena, Macario; Schuberth, Florian; Gelhard, Carsten (2016). Assessing statistical differences between parameter estimates in Partial Least Squares path modeling. Quality & Quantity, electronic pre-print available, doi: 10.1007/s11135-016-0400-8 (click here to download).
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2016). Partial least squares path modeling using ordinal categorical indicators. Quality & Quantity, electronic pre-print available, doi:10.1007/s11135-016-0401-7 (click here to download).
  • Dijkstra, Theo K.; Henseler, Jörg (2015). Consistent partial least squares path modeling. MIS Quarterly, 39 (2), in print (click here to download). 
  • Henseler, Jörg; Ringle, Christian M.; Sarstedt, Marko (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43 (1), 115-135, doi:10.1007/s11747-014-0403-8 (click here to download).
  • Dijkstra, Theo K.; Henseler, Jörg (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics & Data Analysis, 81 (1), 10-23, doi:10.1016/j.csda.2014.07.008 (click here to download).
  • Henseler, Jörg; Dijkstra, Theo K.; Sarstedt, Marko; Ringle, Christian M.; Diamantopoulos, Adamantios; Straub, Detmar W.; Ketchen, David J., Jr.; Hair, Joseph F.; Hult, G. Tomas M.; Calantone, Roger J. (2014), Common beliefs and reality about PLS: Comments on Rönkkö & Evermann (2013), Organizational Research Methods, 17 (2), 182-209, doi:10.1177/1094428114526928 (click here to download).
  • Dijkstra, Theo K. (2013). A note on how to make PLS consistent. RU Groningen working paper, http://www.rug.nl/staff/t.k.dijkstra/how-to-make-pls-consistent.pdf.
  • Dijkstra, Theo K. (2013). Composites as Factors. RU Groningen working paper, http://www.rug.nl/staff/t.k.dijkstra/composites-as-factors.pdf.
  • Henseler, Jörg; Sarstedt, Marko (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28 (2), 565-580, doi:10.1007/s00180-012-0317-1 (click here to download).
  • Henseler, Jörg (2012). Why generalized structured component analysis is not universally preferable to structural equation modeling. Journal of the Academy of Marketing Science, 40 (3), 402-413, doi:10.1007/s11747-011-0298-6 (click here to download).
  • Dijkstra, Theo K. (2011). Consistent partial least squares estimators for linear and polynomial factor models. RU Groningen working paper, http://www.rug.nl/staff/t.k.dijkstra/consistent-pls-estimators.pdf.
  • Henseler, Jörg (2010). On the convergence of the partial least squares path modeling algorithm. Computational Statistics, 25 (1), 107-120, doi:10.1007/s00180-009-0164-x (click here to download).
  • Dijkstra, Theo K. (2009). PLS for path diagrams revisited, and extended. 6th International Conference on Partial Least Squares, September 4-7, 2009, Beijing, China (click here to download).
  • Henseler, Jörg; Ringle, Christian M.; Sinkovics, Rudolf R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277-319, doi:10.1108/S1474-7979(2009)0000020014 (click here to download).
  • Reinartz, Werner; Haenlein, Michael; Henseler, Jörg (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26 (4), 332-344, doi:10.1016/j.ijresmar.2009.08.001 (available as working paper).

 

Other publications on variance-based structural equation modeling: 

  • Cepeda Carrión, Gabriel; Henseler, Jörg; Ringle, Christian M.; Roldán, José Luis (2016). Prediction-oriented modeling in business research by means of PLS path modeling. Journal of Business Research, 69 (10), 4545-4551, doi:10.1016/j.jbusres.2016.03.048.
  • Fassott, Georg; Henseler, Jörg; Coelho, Pedro S. (2016). Testing moderating effects in PLS path models with composite variables. Industrial Management & Data Systems, 116 (9), 1887-1900, doi:10.1108/IMDS-06-2016-0248.
  • Henseler, Jörg (2016). New developments in PLS path modeling. Industrial Management & Data Systems, 116 (9), 1842-1848, doi:10.1108/IMDS-09-2016-0366.
  • Lancelot-Miltgen, Caroline; Henseler, Jörg; Gelhard, Carsten; Popovič, Aleš (2016). Introducing new products that affect consumer privacy: A mediation model. Journal of Business Research, 69 (10), 4659-4666, doi:10.1016/j.jbusres.2016.04.015.
  • Dijkstra, Theo K.; Schermelleh-Engel, Karin (2014). Consistent partial least squares for nonlinear structural equation models. Psychometrika, 79 (4), 585-604, doi:10.1007/s11336-013-9370-0. 
  • Dijkstra, Theo K. (2014). PLS' Janus face – Response to Professor Rigdon's 'Rethinking partial least squares modeling: In praise of simple methods', Long Range Planning, 47 (3), 146-153, doi:10.1016/j.lrp.2014.02.004.
  • Sarstedt, Marko; Ringle, Christian M.; Henseler, Jörg; Hair, Joseph F. (2014). On the emancipation of PLS-SEM: a comment on Rigdon (2012). Long Range Planning, 47 (3), 154-160, doi:10.1016/j.lrp.2014.02.007.
  • Furrer, Olivier; Tjemkes, Brian; Henseler, Jörg (2012). A model of response strategies in strategic alliances: a PLS analysis of a circumplex structure. Long Range Planning, 45 (5-6), 424-450, doi:10.1016/j.lrp.2012.10.003.
  • Henseler, Jörg (2012). PLS-MGA: A Non-Parametric Approach to Partial Least Squares-based Multi-Group Analysis. In: Gaul, Wolfgang A.; Geyer-Schulz, Andreas; Schmidt-Thieme, Lars; Kunze, Jonas (Eds.). Challenges at the Interface of Data Analysis, Computer Science, and Optimization (Studies in Classification, Data Analysis, and Knowledge Organization). Berlin, Heidelberg: Springer, pp. 495-501, doi:10.1007/978-3-642-24466-7_50.
  • Henseler, Jörg; Fassott, Georg; Dijkstra, Theo K.; Wilson, Bradley (2012). Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling. European Journal of Information Systems, 21 (1), 99-112, doi:10.1057/ejis.2011.36.
  • Henseler, Jörg; Ringle, Christian M.; Sarstedt, Marko (2012). Using partial least squares path modeling in international advertising research: basic concepts and recent issues. In: Okazaki, Shintaro (Ed.). Handbook of Research in International Advertising. London: Edward Elgar, pp. 252-276.
  • Money, Kevin G.; Hillenbrand, Carola; Henseler, Jörg; Da Camara, Nuno (2012). Exploring unanticipated consequences of strategy amongst stakeholder segments: the case of a European revenue service. Long Range Planning, 45 (5-6), 395-423, doi:10.1016/j.lrp.2012.09.003.
  • Dijkstra, Theo K.; Henseler, Jörg (2011). Linear indices in nonlinear structural equation models: best fitting proper indices and other composites. Quality & Quantity, 45 (6), 1505-1518, doi:10.1007/s11135-010-9359-z.
  • Sarstedt, Marko; Henseler, Jörg; Ringle, Christian M. (2011). Multi-group analysis in partial least squares (PLS) path modeling: alternative methods and empirical results. Advances in International Marketing, 22, 195-218, doi:10.1108/S1474-7979(2011)0000022012.
  • Dijkstra, Theo K. (2010). Latent variables and indices: Herman Wold’s basic design and partial least squares. In: Esposito Vinzi, Vincenzo; Chin, Wynne W.; Henseler, Jörg; Wang, Huiwen (Eds.). Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics Series, vol. II). Heidelberg, Dordrecht, London, New York: Springer, pp. 23-46, doi:10.1007/978-3-540-32827-8_2.
  • Esposito Vinzi, Vincenzo; Chin, Wynne W.; Henseler, Jörg; Wang, Huiwen (2010). Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics Series, vol. II). Heidelberg, Dordrecht, London, New York: Springer, doi:10.1007/978-3-540-32827-8.
  • Henseler, Jörg; Chin, Wynne W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17 (1), 82-109, doi:10.1080/10705510903439003.
  • Henseler, Jörg; Fassott, Georg (2010). Testing moderating effects in PLS path models: an illustration of available procedures. In: Esposito Vinzi, Vincenzo; Chin, Wynne W.; Henseler, Jörg; Wang, Huiwen (Eds.). Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics Series, vol. II). Heidelberg, Dordrecht, London, New York: Springer, pp. 713-735, doi:10.1007/978-3-540-32827-8_31.
  • Dijkstra, Theo K. (1983). Some comments on maximum likelihood and partial least squares methods, Journal of Econometrics, 22 (1-2), 67-90, doi:10.1016/0304-4076(83)90094-5.
  • Dijkstra, Theo K. (1981). Latent variables in linear stochastic models: Reflections on "Maximum Likelihood" and "Partial Least Squares" methods, University of Groningen, Groningen, The Netherlands.

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