Partial Least Squares: The Better Approach to Structural Equation Modeling?
Tóm tắt
Từ khóa
Tài liệu tham khảo
Albers, 2010, PLS and success factor studies in marketing, 409
Antonakis, 2010, On making causal claims: a review and recommendations, The Leadership Quarterly, 21, 1086, 10.1016/j.leaqua.2010.10.010
Bagozzi, 2007, On the meaning of formative measurement and how it differs from reflective measurement: comment on Howell, Breivik, and Wilcox (2007), Psychological Methods, 12, 229, 10.1037/1082-989X.12.2.229
Bagozzi, 2011, Measurement and meaning in information systems and organizational research: methodological and philosophical foundations, MIS Quarterly, 35, 261, 10.2307/23044044
Baumgartner, 1996, Applications of structural equation modeling in marketing and consumer research: a review, International Journal of Research in Marketing, 13, 139, 10.1016/0167-8116(95)00038-0
Becker, J.-M., Rai, A., Ringle, C. M., Völckner, F. Discovering unobserved heterogeneity in structural equation models to avert validity threats. MIS Quarterly, forthcoming.
Bollen, 2007, Interpretational confounding is due to misspecification, not to type of indicator: comment on Howell, Breivik, and Wilcox (2007), Psychological Methods, 12, 219, 10.1037/1082-989X.12.2.219
Bollen, 2009, Causal indicator models: identification, estimation, and testing, Structural Equation Modeling, 16, 498, 10.1080/10705510903008253
Cenfetelli, 2009, Interpretation of formative measurement in information systems research, MIS Quarterly, 33, 689, 10.2307/20650323
Chin, 1998, The partial least squares approach to structural equation modeling, 295
Chin, 2003
Diamantopoulos, 2006, The error term in formative measurement models: interpretation and modeling implications, Journal of Modelling in Management, 1, 7, 10.1108/17465660610667775
Diamantopoulos, 2011, Incorporating formative measures into covariance-based structural equation models, MIS Quarterly, 35, 335, 10.2307/23044046
Diamantopoulos, 2011, Using formative measures in international marketing models: a cautionary tale using consumer animosity as an example, Advances in International Marketing, 10, 11, 10.1108/S1474-7979(2011)0000022004
Diamantopoulos, 2008, Advancing formative measurement models, Journal of Business Research, 61, 1203, 10.1016/j.jbusres.2008.01.009
Diamantopoulos, 2000
Diamantopoulos, 2001, Index construction with formative indicators: an alternative to scale development, Journal of Marketing Research, 38, 269, 10.1509/jmkr.38.2.269.18845
Evermann, J., Tate, M., 2010. Testing Models or Fitting Models? Identifying Model Misspecification in PLS. In 2010 International Conference on Information Systems (ICIS) (pp. Paper 21). St. Louis.
Fornell, 1982, A second generation of multivariate analysis: an overview, 1
Fornell, 1987, A second generation of multivariate analysis: classification of methods and implications for marketing research, 407
Fornell, 1996, The American customer satisfaction index: nature, purpose, and findings, Journal of Marketing, 60, 7, 10.2307/1251898
Gefen, 1997, Gender differences in the perception and use of e-mail: an extension to the technology acceptance model, MIS Quarterly, 21, 389, 10.2307/249720
Goodhue, 2012, Comparing PLS to regression and LISREL: a response to Marcolides, Chin, and Saunders, MIS Quarterly, 10.2307/41703476
Goodhue, 2012, Does PLS have advantages for small sample size or non-normal data?, MIS Quarterly, 36, 891, 10.2307/41703490
Gudergan, 2008, Confirmatory tetrad analysis in PLS path modeling, Journal of Business Research, 61, 1238, 10.1016/j.jbusres.2008.01.012
Hair, 2010
Hair, 2013
Hair, 2011, PLS-SEM: indeed a silver bullet, Journal of Marketing Theory and Practice, 19, 139, 10.2753/MTP1069-6679190202
Hair, J.F., Sarstedt, M., Pieper, T., Ringle, C.M. Applications of partial least squares path modeling in management journals: a review of past practices and recommendations for future applications. Long Range Planning, forthcoming.
Hair, 2012, An Assessment of the use of partial least squares structural equation modeling in marketing research, Journal of the Academy of Marketing Science, 40, 414, 10.1007/s11747-011-0261-6
Hair, 2011
Henseler, 2012, Why generalized structured component analysis is not universally preferable to structural equation modeling, Journal of the Academy of Marketing Science, 40, 402, 10.1007/s11747-011-0298-6
Henseler, 2009, The use of partial least squares path modeling in international marketing, Advances in International Marketing, 20, 277, 10.1108/S1474-7979(2009)0000020014
Howell, 2007, Is formative measurement really measurement? Reply to Bollen (2007) and Bagozzi (2007), Psychological Methods, 12, 238, 10.1037/1082-989X.12.2.238
Howell, 2007, Reconsidering formative measurement, Psychological Methods, 12, 205, 10.1037/1082-989X.12.2.205
Hulland, 1999, Use of partial least squares (PLS) in strategic management research: a review of four recent studies, Strategic Management Journal, 20, 195, 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
Hwang, 2010, A comparative study on parameter recovery of three approaches to structural equation modeling, Journal of Marketing Research, 47, 699, 10.1509/jmkr.47.4.699
Jarvis, 2003, A critical review of construct indicators and measurement model misspecification in marketing and consumer research, Journal of Consumer Research, 30, 199, 10.1086/376806
Jöreskog, 1978, Structural analysis of covariance and correlation matrices, Psychometrika, 43, 443, 10.1007/BF02293808
Jöreskog, 1982, The LISREL approach to causal model-building in the social sciences, 81
Jöreskog, 1996
Jöreskog, 1982, The ML and PLS techniques for modeling with latent variables: historical and comparative aspects, 263
Lee, 2011, On the use of partial least squares path modeling in accounting research, International Journal of Accounting Information Systems, 12, 305, 10.1016/j.accinf.2011.05.002
Lehmann, 2011, Sophistication in research in marketing, Journal of Marketing, 75, 155, 10.1509/jmkg.75.4.155
Lohmöller, 1984
Lohmöller, 1989
Lu, 2011, Two new methods for estimating structural equation models: an illustration and a comparison with two established methods, International Journal of Research in Marketing, 28, 258, 10.1016/j.ijresmar.2011.03.006
Marcoulides, 2012, When imprecise statistical statements become problematic: a response to Goodhue, Lewis, and Thompson, MIS Quarterly, 36, 717, 10.2307/41703477
Medsker, 1994, A review of current practices for evaluating causal models in organizational behavior and human resources management research, Journal of Management, 20, 439, 10.1016/0149-2063(94)90022-1
Mooi, 2011
Podsakoff, 2006, The role of formative measurement models in strategic management research: review, critique, and implications for future research, vol. 3, 197
Podsakoff, 2003, The mismeasure of man(agement) and its implications for leadership research, The Leadership Quarterly, 14, 615, 10.1016/j.leaqua.2003.08.002
Reibstein, 2009, Guest editorial: is marketing academia losing its way?, Journal of Marketing, 73, 1, 10.1509/jmkg.73.4.1
Reinartz, 2009, An empirical comparison of the efficacy of covariance-based and variance-based SEM, International Journal of Research in Marketing, 26, 332, 10.1016/j.ijresmar.2009.08.001
Rigdon, 1998, Structural equation modeling, 251
Rigdon, 2012, Partial least squares path modeling, vol. 2
Rigdon, 2010, Structural modeling of heterogeneous data with partial least squares, vol. 7, 255
Rigdon, 2011, Assessing heterogeneity in customer satisfaction studies: across industry similarities and within industry differences, Advances in International Marketing, 22, 169, 10.1108/S1474-7979(2011)0000022011
Ringle, C.M., Sarstedt, M., Schlittgen, R., Taylor, C. R. PLS path modeling and evolutionary segmentation. Journal of Business Research, forthcoming.
Ringle, 2012, A critical look at the use of PLS-SEM in MIS quarterly, MIS Quarterly, 36, iii, 10.2307/41410402
Ringle, 2005
Rönkkö, M., Ylitalo, J., 2010. Construct Validity in Partial Least Squares Path Modeling. In 2010 International Conference on Information Systems (ICIS) (pp. Paper 155). St. Louis: AIS.
Sarstedt, 2008, A review of recent approaches for capturing heterogeneity in partial least squares path modelling, Journal of Modelling in Management, 3, 140, 10.1108/17465660810890126
Sarstedt, 2011, Multi-group analysis in partial least squares (PLS) path modeling: alternative methods and empirical results, Advances in International Marketing, 22, 195, 10.1108/S1474-7979(2011)0000022012
Sarstedt, 2010, Treating unobserved heterogeneity in PLS path modelling: a comparison of FIMIX-PLS with different data analysis strategies, Journal of Applied Statistics, 37, 1299, 10.1080/02664760903030213
Sheth, 1971, The multivariate revolution in marketing research, Journal of Marketing, 35, 13, 10.2307/1250558
Shook, 2004, An assessment of the use of structural equation modeling in strategic management research, Strategic Management Journal, 25, 397, 10.1002/smj.385
Sosik, 2009, Silver bullet or voodoo statistics? A primer for using the partial least squares data analytic technique in group and organization research, Group Organization Management, 34, 5, 10.1177/1059601108329198
Steenkamp, 2000, On the use of structural equation models for marketing modeling, International Journal of Research in Marketing, 17, 195, 10.1016/S0167-8116(00)00016-1
Wold, 1974, Causal flows with latent variables: partings of ways in the light of NIPALS modelling, European Economic Review, 5, 67, 10.1016/0014-2921(74)90008-7
Wold, 1975, Path models with latent variables: the NIPALS approach, 307
Wold, 1982, Soft modeling: the basic design and some extensions, 1
