Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
暂无分享,去创建一个
[1] Marko Sarstedt,et al. An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .
[2] Marko Sarstedt,et al. Testing measurement invariance of composites using partial least squares , 2016 .
[3] M. Wood. Bootstrapped Confidence Intervals as an Approach to Statistical Inference , 2005 .
[4] Geoffrey S. Hubona,et al. Using PLS path modeling in new technology research: updated guidelines , 2016, Ind. Manag. Data Syst..
[5] Wynne W. Chin. The partial least squares approach for structural equation modeling. , 1998 .
[6] Joseph F. Hair,et al. Essentials of Business Research Methods , 2003 .
[7] Christophe Goetz,et al. Item reduction based on rigorous methodological guidelines is necessary to maintain validity when shortening composite measurement scales. , 2013, Journal of clinical epidemiology.
[8] Joseph F. Hair,et al. Estimation issues with PLS and CBSEM: Where the bias lies! ☆ , 2016 .
[9] Jörg Henseler,et al. Consistent and asymptotically normal PLS estimators for linear structural equations , 2014 .
[10] Pratyush Nidhi Sharma,et al. Prediction-Oriented Model Selection in Partial Least Squares Path Modeling , 2018, Decis. Sci..
[11] Joseph F. Hair,et al. When to use and how to report the results of PLS-SEM , 2019, European Business Review.
[12] H. Ting,et al. Structural model robustness checks in PLS-SEM , 2020, Tourism Economics.
[13] Galit Shmueli,et al. Predictive model assessment in PLS-SEM: guidelines for using PLSpredict , 2019, European Journal of Marketing.
[14] Martin Wetzels,et al. Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models , 2012 .
[15] Marko Sarstedt,et al. Advanced Issues in Partial Least Squares Structural Equation Modeling , 2017 .
[16] Marko Sarstedt,et al. Applying the future time perspective scale to advertising research , 2014 .
[17] Christian Nitzl,et al. The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development , 2016 .
[18] Jan-Bernd Lohmöller,et al. Latent Variable Path Modeling with Partial Least Squares , 1989 .
[19] Edward E. Rigdon,et al. Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement , 2019, Multivariate behavioral research.
[20] R. Vandenberg,et al. A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research , 2000 .
[21] Wynne W. Chin,et al. The case of partial least squares (PLS) path modeling in managerial accounting research , 2017 .
[22] Stacie Petter,et al. "Haters Gonna Hate": PLS and Information Systems Research , 2018, Data Base.
[23] L. Crocker,et al. Introduction to Classical and Modern Test Theory , 1986 .
[24] Pratyush Nidhi Sharma,et al. PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research , 2019, J. Assoc. Inf. Syst..
[25] D. Ketchen. A Primer on Partial Least Squares Structural Equation Modeling , 2013 .
[26] Joseph F. Hair,et al. Partial Least Squares : The Better Approach to Structural Equation Modeling ? , 2012 .
[27] Marko Sarstedt,et al. PLS-SEM: Indeed a Silver Bullet , 2011 .
[28] M. Kendall,et al. An Introduction to the Theory of Statistics. , 1911 .
[29] M. Appelbaum,et al. Psychometric methods. , 1989, Annual review of psychology.
[30] T. Brown,et al. Confirmatory Factor Analysis for Applied Research , 2006 .
[31] L. Cronbach,et al. Construct validity in psychological tests. , 1955, Psychological bulletin.
[32] Joseph F. Hair,et al. On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) , 2014 .
[33] G. Yule. On the Theory of Correlation for any Number of Variables, Treated by a New System of Notation , 1907 .
[34] Joseph F. Hair,et al. PLS-SEM or CB-SEM: updated guidelines on which method to use , 2017 .
[35] R. Kline. Principles and practice of structural equation modeling, 4th ed. , 2016 .
[36] Y Kano,et al. On the Equivalence of Factors and Components. , 1990, Multivariate behavioral research.
[37] Faizan Ali,et al. Applying Partial Least Squares in Tourism and Hospitality Research , 2018 .
[38] J. Neyman,et al. An Introduction to the Theory of Statistics , 1938, Nature.
[39] Christian Nitzl,et al. Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models , 2016, Ind. Manag. Data Syst..
[40] Thurasamy Ramayah,et al. Convergent validity assessment of formatively measured constructs in PLS-SEM , 2018, International Journal of Contemporary Hospitality Management.
[41] Florian Schuberth,et al. How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research , 2020, Inf. Manag..
[42] Ronald T. Cenfetelli,et al. Interpretation of Formative Measurement in Information Systems Research , 2009, MIS Q..
[43] Marko Sarstedt,et al. How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM , 2019, Australasian Marketing Journal.
[44] Paul Kline,et al. An easy guide to factor analysis , 1993 .
[45] C. Spearman. General intelligence Objectively Determined and Measured , 1904 .
[46] Christian Nitzl,et al. Mediation Analyses in Partial Least Squares Structural Equation Modeling, Helping Researchers Discuss More Sophisticated Models: An Abstract , 2017 .
[47] Galit Shmueli,et al. The elephant in the room: Predictive performance of PLS models , 2016 .
[48] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.
[49] Adamantios Diamantopoulos,et al. Advancing formative measurement models , 2008 .
[50] R. Hambleton,et al. Fundamentals of Item Response Theory , 1991 .
[51] Kristopher J Preacher,et al. Repairing Tom Swift's Electric Factor Analysis Machine , 2003 .
[52] Nigel O'Brian,et al. Generalizability Theory I , 2003 .
[53] D. Straub,et al. Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .
[54] Mary Tate,et al. Assessing the predictive performance of structural equation model estimators , 2016 .
[55] Marko Sarstedt,et al. Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method , 2019 .
[56] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[57] Marko Sarstedt,et al. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .
[58] Duane T. Wegener,et al. Evaluating the use of exploratory factor analysis in psychological research. , 1999 .
[59] Y. Takane,et al. Generalized structured component analysis , 2004 .
[60] P. Lachenbruch. Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .
[61] S. Geisser. A predictive approach to the random effect model , 1974 .
[62] Paul R. Yarnold,et al. Reading and Understanding Multivariate Statistics , 1995 .
[63] G. Mateos-Aparicio. Partial Least Squares (PLS) Methods: Origins, Evolution, and Application to Social Sciences , 2011 .
[64] A. C. Rencher. Methods of multivariate analysis , 1995 .
[65] Herman Wold,et al. Soft modelling: The Basic Design and Some Extensions , 1982 .
[66] Marko Sarstedt,et al. Heuristics versus statistics in discriminant validity testing: a comparison of four procedures , 2019, Internet Res..
[67] Soumya Ray,et al. Chapter 3 Predictions from Partial Least Squares Models , 2018, Applying Partial Least Squares in Tourism and Hospitality Research.
[68] Marko Sarstedt,et al. Rethinking some of the rethinking of partial least squares , 2019, European Journal of Marketing.
[69] Detmar W. Straub,et al. Common Beliefs and Reality About PLS , 2014 .
[70] J. Hair. Multivariate data analysis , 1972 .
[71] Matt C. Howard. A Review of Exploratory Factor Analysis Decisions and Overview of Current Practices: What We Are Doing and How Can We Improve? , 2016, Int. J. Hum. Comput. Interact..
[72] J. Stevens. Applied Multivariate Statistics for the Social Sciences , 1986 .
[73] M. Sarstedt,et al. A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .
[74] Rex B. Kline,et al. Principles and Practice of Structural Equation Modeling , 1998 .
[75] B. Thompson. Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications , 2004 .
[76] Edward E. Rigdon,et al. Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods , 2012 .
[77] Edward E. Rigdon,et al. Rethinking Partial Least Squares Path Modeling: Breaking Chains and Forging Ahead , 2014 .
[78] Jörg Henseler,et al. Confirmatory Composite Analysis , 2018, Front. Psychol..
[79] Jacob Cohen. The earth is round (p < .05) , 1994 .