5,712
Views
541
CrossRef citations to date
0
Altmetric
Original Articles

A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling

&
Pages 82-109 | Published online: 12 Jan 2010

REFERENCES

  • Baron , R. M. and Kenny , D. A. 1986 . The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations . Journal of Personality and Social Psychology , 51 : 1173 – 1182 .
  • Bhattacherjee , A. and Sanford , C. 2006 . Influence processes for information technology acceptance: An elaboration likelihood model . MIS Quarterly , 30 : 805 – 826 .
  • Brown , S. A. and Venkatesh , V. 2005 . Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle . MIS Quarterly , 29 : 399 – 427 .
  • Busemeyer , J. B. and Jones , L. E. 1983 . Analysis of multiplicative combination rules when causal variables are measured with error . Psychological Bulletin , 93 : 549 – 562 .
  • Carte , T. A. and Russell , C. J. 2003 . In pursuit of moderation: Nine common errors and their solution . MIS Quarterly , 27 : 479 – 501 .
  • Cassel , C. , Hackl , P. and Westlund , A. 1999 . Robustness of partial least-squares method of estimating latent variable quality structures . Journal of Applied Statistics , 26 : 435 – 446 .
  • Chin , W. W. 1993–2003 . PLS-Graph , Houston, TX : University of Houston .
  • Chin , W. W. 1998 . Issues and opinion on structural equation modeling . MIS Quarterly , 22 : 1 – 12 .
  • Chin , W. W. , Marcolin , B. L. and Newsted , P. R. 1996 . “ A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and voice mail emotion/adoption study ” . In Proceedings of the Seventeenth International Conference on Information Systems , Edited by: DeGross , J. I. , Jarvenpaa , S. L. and Srinivasan , A. 21 – 41 . Cleveland, OH : Association for Information Systems .
  • Chin , W. W. , Marcolin , B. L. and Newsted , P. R. 2003 . A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study . Information Systems Research , 14 : 189 – 217 .
  • Cohen , J. 1978 . Partialed products are interactions; Partialed powers are curve components . Psychological Bulletin , 85 : 858 – 866 .
  • Cohen , J. 1988 . Statistical power analysis for the behavioral sciences , 2 Hillsdale, NJ : Lawrence Erlbaum Associates, Inc. .
  • Cortina , J. M. 1993 . Interaction, nonlinearity, and multicollinearity: Implications for multiple regression . Journal of Management , 19 : 915 – 922 .
  • Cronbach , L. J. 1987 . Statistical tests for moderator variables: Flaws in analyses recently proposed . Psychological Bulletin , 102 : 414 – 417 .
  • Davis , F. D. 1989 . Perceived usefulness, perceived ease of use, and user acceptance of information technology . MIS Quarterly , 13 : 319 – 340 .
  • DECISIA. 2003 . SPAD version 5.6.2 CS. , Levallois-Perret, France : Author .
  • Dibbern , J. and Chin , W. W. 2005 . “ Multi-group comparison: Testing a PLS model on the sourcing of application software services across Germany and the USA using a permutation based algorithm ” . In Handbuch PLS-Pfadmodellierung: Methoden, Anwendung, Praxisbeispiele , Edited by: Bliemel , F. W. , Eggert , A. , Fassott , G. and Henseler , J. 135 – 139 . Stuttgart, , Germany : Schäffer-Poeschel Verlag .
  • Echambadi , R. and Hess , J. 2007 . Mean-centering does not alleviate collinearity problems in moderated multiple regression . Marketing Science , 26 : 438 – 445 .
  • Fornell , C. 1992 . A national customer satisfaction barometer: The Swedish experience . Journal of Marketing , 56 : 6 – 21 .
  • Fornell , C. and Larcker , D. F. 1981 . Evaluating structural equation models with unobservable variables and measurement error . Journal of Marketing Research , 18 : 39 – 50 .
  • Gefen , D. and Straub , D. W. 1997 . Gender differences in the perception and use of e-mail: An extension to the technology acceptance model . MIS Quarterly , 21 : 389 – 400 .
  • VinziHenseler , V.J. E. and ChinFassott , W.G. W. “ Testing moderating effects in PLS path models: An illustration of available procedures ” . In Handbook of partial least squares path modeling , Edited by: Henseler , J. and Wang , H. Heidelberg, , Germany : Springer . in press
  • Hulland , J. 1999 . Use of partial least squares (PLS) in strategic management research: A review of four recent studies . Strategic Management Journal , 20 : 195 – 204 .
  • Jaccard , J. and Turrisi , R. 2003 . Interaction effects in multiple regression , 2 Thousand Oaks, CA : Sage .
  • Jonsson , F. Y. 1998 . “ Nonlinear structural equation models: The Kenny-Judd model with interaction effects ” . In Interaction and nonlinear effects in structural equation modeling , Edited by: Schumacker , R. E. and Marcoulides , G. A. 17 – 42 . Mahwah, NJ : Lawrence Erlbaum Associates, Inc. .
  • Jöreskog , K. G. and Yang , F. 1996 . “ Nonlinear structural relation models: The Kenny–Judd model with interaction effects ” . In Advanced structural equation modeling , Edited by: Marcoulides , G. A. and Schumacker , R. E. 57 – 88 . Mahwah, NJ : Lawrence Erlbaum Associates, Inc. .
  • Kenny , D. A. and Judd , C. M. 1984 . Estimating the nonlinear and interaction effects of latent variables . Psychological Bulletin , 96 : 201 – 210 .
  • Lance , C. E. 1988 . Residual centering, exploratory and confirmatory moderator analysis, and decomposition of effects in path models containing interactions . Applied Psychological Measurement , 12 : 163 – 175 .
  • Lee , S. Y. , Song , X. Y. and Poon , W. Y. 2004 . Comparison of approaches in estimating interaction and quadratic effects of latent variables . Multivariate Behavioral Research , 39 : 37 – 67 .
  • Li , F. , Harmer , P. , Duncan , T. E. , Duncan , S. C. , Acock , A. and Boles , S. 1998 . Approaches to testing interaction effects using structural equation modeling methodology . Multivariate Behavioral Research , 33 : 1 – 39 .
  • Little , T. D. , Bovaird , J. A. and Widaman , K. F. 2006 . On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables . Structural Equation Modeling , 13 : 497 – 519 .
  • Lohmöller , J.-B. 1984 . “ LVPLS 1.6 program manual: Latent variables path analysis with partial least-squares estimation ” . In Universität zu Köln, Zentralarchiv für Empirische Sozialforschung Köln, , Germany
  • Lohmöller , J.-B. 1989 . Latent variables path modeling with partial least squares , Heidelberg, , Germany : Physica-Verlag .
  • Marsh , H. W. , Wen , Z. and Hau , K.-T. 2004 . Structural equation models of latent interactions: Evaluation of alternative estimation strategies and indicator construction . Psychological Methods , 9 : 275 – 300 .
  • Mooney , C. and Duval , R. 1993 . Bootstrapping: A nonparametric approach to statistical inference , Newbury Park, CA : Sage .
  • Pavlou , P. A. and Gefen , D. 2005 . Psychological contract violation in online marketplaces: Antecedents, consequences, and moderating role . Information Systems Research , 16 : 372 – 399 .
  • R Development Core Team . 2006 . R: A language and environment for statistical computing , Vienna, , Austria : R Foundation for Statistical Computing .
  • Reinartz , W. J. , Echambadi , R. and Chin , W. W. 2002 . Generating nonnormal data for simulation of structural equation models using Mattson's method . Multivariate Behavioral Research , 37 : 227 – 244 .
  • Ringle , C. M. , Wende , S. and Will , A. 2005 . SmartPLS 2.0 (beta) , Hamburg, Germany : University of Hamburg .
  • Schneeweiss , H. 1993 . “ Consistency at large in models with latent variables ” . In Statistical modelling and latent variables , Edited by: Haagen , D. , Bartholomew , D. J. and Deistler , M. 299 – 318 . Amsterdam : Elsevier Science .
  • Schumacker , R. E. and Marcoulides , G. A. 1998 . Interaction and nonlinear effects in structural equation modeling , Mahwah, NJ : Lawrence Erlbaum Associates, Inc. .
  • Tenenhaus , M. , Vinzi , V. E. , Chatelin , Y. M. and Lauro , C. 2005 . PLS path modeling . Computational Statistics and Data Analysis , 48 : 159 – 205 .
  • Wold , H. 1982 . “ Soft modeling: The basic design and some extensions ” . In Systems under indirect observation: Causality, structure, prediction , 2 Edited by: Jöreskog , K. G. and Wold , H. 1 – 54 . Amsterdam : North-Holland .
  • Woodward , J. 1958 . Management and technology , London : Her Majesty's Stationery Office .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.