Specification, evaluation, and interpretation of structural equation models
暂无分享,去创建一个
[1] M. R. Novick,et al. Statistical Theories of Mental Test Scores. , 1971 .
[2] A. Goldberger,et al. Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable , 1975 .
[3] R. Bagozzi. Structural Equation Models in Experimental Research , 1977 .
[4] D. G. Weeks,et al. Linear structural equations with latent variables , 1980 .
[5] William R. Darden,et al. Causal Models in Marketing , 1980 .
[6] C. Fornell,et al. Canonical Correlation Analysis As A Special Case Of A Structural Relations Model. , 1981, Multivariate behavioral research.
[7] G. Hesslow. Causality and Determinism , 1981, Philosophy of Science.
[8] R. Bagozzi,et al. Representing and testing organizational theories: A holistic construal. , 1982 .
[9] R. Bagozzi. A Prospectus for Theory Construction in Marketing , 1984 .
[10] Peter M. Bentler,et al. Practical Issues in Structural Modeling , 1987 .
[11] R. Bagozzi,et al. On the evaluation of structural equation models , 1988 .
[12] Steffen M. Kühnel. Testing MANOVA Designs with LISREL , 1988 .
[13] Kenneth A. Bollen,et al. Structural Equations with Latent Variables , 1989 .
[14] Peter M. Bentler,et al. EQS : structural equations program manual , 1989 .
[15] Karl G. Jöreskog,et al. Lisrel 8: User's Reference Guide , 1997 .
[16] Richard P. Bagozzi,et al. On the Use of Structural Equation Models in Experimental Designs , 1989 .
[17] Fred D. Davis,et al. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .
[18] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[19] R. Bagozzi,et al. Assessing method variance in multitrait-multimethod matrices: The case of self-reported affect and perceptions at work. , 1990 .
[20] M. Browne,et al. The direct product model for the mtmm matrix parameterized as a second order factor analysis model , 1990 .
[21] R. Bagozzi,et al. On the use of structural equation models in experimental designs: Two extensions , 1991 .
[22] Richard P. Bagozzi,et al. Assessing Construct Validity in Organizational Research , 1991 .
[23] R. Bagozzi,et al. Testing Hypotheses About Methods, Traits, and Communalities in the Direct-Product Model , 1992 .
[24] Karl G. Jöreskog,et al. Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .
[25] R. Bagozzi. Effects of arousal on organization of positive and negative affect and cognitions: Application to attitude theory , 1994 .
[26] A. Satorra,et al. Corrections to test statistics and standard errors in covariance structure analysis. , 1994 .
[27] E. Craig,et al. The Oxford dictionary of philosophy , 2008 .
[28] R. Bagozzi,et al. A general approach to representing multifaceted personality constructs: Application to state self‐esteem , 1994 .
[29] R. Audi. The Cambridge Dictionary of Philosophy , 1995 .
[30] R. Bagozzi. The role of arousal in the creation and control of the halo effect in attitude models , 1996 .
[31] G. A. Marcoulides,et al. Advanced structural equation modeling : issues and techniques , 1996 .
[32] Kent D. Nassen,et al. Representation of measurement error in marketing variables: Review of approaches and extension to three-facet designs , 1998 .
[33] D. Russell,et al. Analyzing data from experimental studies: A latent variable structural equation modeling approach. , 1998 .
[34] P. Bentler,et al. Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .
[35] R. Bagozzi,et al. A General Approach for Representing Constructs in Organizational Research , 1998 .
[36] K. Yuan,et al. Robust mean and covariance structure analysis. , 1998, The British journal of mathematical and statistical psychology.
[37] R. P. McDonald,et al. Test Theory: A Unified Treatment , 1999 .
[38] Terry E. Duncan,et al. An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition , 1999 .
[39] Ronald H. Heck,et al. An Introduction to Multilevel Modeling Techniques , 1999 .
[40] P. Bentler,et al. ML Estimation of Mean and Covariance Structures with Missing Data Using Complete Data Routines , 1999 .
[41] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[42] Detmar W. Straub,et al. Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..
[43] R. Bagozzi,et al. On the nature and direction of relationships between constructs and measures. , 2000, Psychological methods.
[44] Alexander Hars,et al. Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..
[45] R. Bagozzi,et al. Self-categorization, affective commitment and group self-esteem as distinct aspects of social identity in the organization. , 2000, The British journal of social psychology.
[46] W. Shadish,et al. Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .
[47] R. Bagozzi,et al. Decisions to donate bone marrow: The role of attitudes and subjective norms across cultures , 2001 .
[48] H. Winklhofer,et al. Index Construction with Formative Indicators: An Alternative to Scale Development , 2001 .
[49] T. Little,et al. To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits , 2002 .
[50] R. P. McDonald,et al. Principles and practice in reporting structural equation analyses. , 2002, Psychological methods.
[51] Cheryl Burke Jarvis,et al. A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .
[52] Scott B. MacKenzie,et al. The mismeasure of man(agement) and its implications for leadership research , 2003 .
[53] T. Bechger,et al. Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data , 2004 .
[54] H. Marsh,et al. Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction. , 2004, Psychological methods.
[55] H. Marsh,et al. In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .
[56] R. Bagozzi,et al. Self-Control and the Self-Regulation of Dieting Decisions: The Role of Prefactual Attitudes, Subjective Norms, and Resistance to Temptation , 2004 .
[57] Xitao Fan,et al. Sensitivity of Fit Indexes to Misspecified Structural or Measurement Model Components: Rationale of Two-Index Strategy Revisited , 2005 .
[58] R. Grover. The Handbook of Marketing Research: Uses, Misuses, and Future Advances , 2006 .
[59] Judy A. Siguaw,et al. Formative versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration , 2006 .
[60] R. Bagozzi,et al. Antecedents and purchase consequences of customer participation in small group brand communities , 2006 .
[61] K. Yuan,et al. Robust Procedures in Structural Equation Modeling , 2007 .
[62] P. Barrett. Structural equation modelling : Adjudging model fit , 2007 .
[63] J. Wilcox,et al. Reconsidering formative measurement. , 2007, Psychological methods.
[64] Sik-Yum Lee. Handbook of latent variable and related models , 2007 .
[65] P. Bentler,et al. A Two-Stage Approach to Missing Data: Theory and Application to Auxiliary Variables , 2009 .
[66] J. Wilcox,et al. Is Formative Measurement Really Measurement? Reply to Bollen (2007) and Bagozzi (2007) , 2007 .
[67] D. Markland. The golden rule is that there are no golden rules: A commentary on Paul Barrett’s recommendations for reporting model fit in structural equation modelling , 2007 .
[68] Detmar W. Straub,et al. Specifying Formative Constructs in Information Systems Research , 2007, MIS Q..
[69] R. Bagozzi. On the meaning of formative measurement and how it differs from reflective measurement: comment on Howell, Breivik, and Wilcox (2007). , 2007, Psychological methods.
[70] D. Iacobucci. Everything You Always Wanted to Know About SEM (Structural Equations Modeling) But Were Afraid to Ask , 2009 .
[71] P. Bentler,et al. An Alternative Approach for Nonlinear Latent Variable Models , 2010 .
[72] R. Bagozzi. Structural equation models are modelling tools with many ambiguities: Comments acknowledging the need for caution and humility in their use , 2010 .
[73] P. Bentler. SEM with simplicity and accuracy. , 2010, Journal of consumer psychology : the official journal of the Society for Consumer Psychology.
[74] Dawn Iacobucci,et al. Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics , 2010 .
[75] R. Bagozzi. Alternative Perspectives in Philosophy of Mind and Their Relationship to Structural Equation Models in Psychology , 2011 .
[76] Richard P. Bagozzi,et al. Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations , 2011, MIS Q..
[77] Gian Luca Marzocchi,et al. Customer-Organization Relationships: Development and Test of a Theory of Extended Identities , 2011, The Journal of applied psychology.
[78] Scott L. Hershberger,et al. Modeling Intraindividual Variability With Repeated Measures Data : Methods and Applications , 2013 .