EMPIRICAL COMPARISON OF THE MULTIDIMENSIONAL MODELS OF ITEM RESPONSE THEORY IN E-COMMERCE
暂无分享,去创建一个
Antonio Cezar Bornia | Andréa Cristina Trierweiller | Rafael Tezza | Débora Spenassato | Rafael Tezza | Antônio Cézar Bornia | AndrÈaCristina Trierweiller | Débora Spenassato
[1] Charles A. McMellon,et al. Exploring the determinants of retail service quality on the Internet , 2004 .
[2] F. Drasgow,et al. Theoretical, Statistical, and Substantive Issues in the Assessment of Construct Dimensionality , 2012 .
[3] Veda C. Storey,et al. A Framework for Analysis of Data Quality Research , 1995, IEEE Trans. Knowl. Data Eng..
[4] A. Rupp,et al. Performance of the S − χ2 Statistic for Full-Information Bifactor Models , 2011 .
[5] Lucila Maria de Souza Campos,et al. Measuring environmental management disclosure in industries in Brazil with Item Response Theory , 2013 .
[6] Gregg C. Vanderheiden,et al. Web Content Accessibility Guidelines (WCAG) 2.0 , 2008 .
[7] William R. King,et al. ASSESSING INFORMATION SYSTEM VALUE: AN EXPERIMENTAL STUDY , 1983 .
[8] Daniel A. Newman,et al. Never Say ‘‘Always’’? Extreme Item Wording Effects on Scalar Invariance and Item Response Curves , 2010 .
[9] R. D. Bock,et al. Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm , 1981 .
[10] Terry A. Ackerman. A Didactic Explanation of Item Bias, Item Impact, and Item Validity from a Multidimensional Perspective , 1992 .
[11] Richard Vidgen,et al. European Conference on Information Systems ( ECIS ) 2000 WebQual : An Exploration of Website Quality , 2017 .
[12] William J. Kettinger,et al. Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .
[13] Robert D Gibbons,et al. On the psychometric validity of the domains of the PDSQ: an illustration of the bi-factor item response theory model. , 2009, Journal of psychiatric research.
[14] Mark D. Reckase,et al. The Discriminating Power of Items That Measure More Than One Dimension , 1991 .
[15] Prashant C. Palvia,et al. Developing and validating an instrument for measuring user-perceived web quality , 2002, Inf. Manag..
[16] Raymond J. Adams,et al. The Multidimensional Random Coefficients Multinomial Logit Model , 1997 .
[17] Francesco Bartolucci,et al. Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models , 2012, Psychometrika.
[18] Abby Day,et al. A model for monitoring Web site effectiveness , 1997, Internet Res..
[19] Geoffrey J. McLachlan,et al. A mixture model-based approach to the clustering of microarray expression data , 2002, Bioinform..
[20] R. Hambleton,et al. Item Response Theory: Principles and Applications , 1984 .
[21] Kazimierz Worwa,et al. Quality of Web-based information systems , 2010 .
[22] Kevin Ibeh,et al. Customers' Perception of Electronic Service Delivery in the UK Retail Banking Sector , 2006 .
[23] C. Bernini,et al. Investigating heterogeneity in residents’ attitudes toward tourism with an IRT multidimensional approach , 2015 .
[24] Blanca Hernández Ortega,et al. International Journal of Information Management , 2022 .
[25] Terry A. Ackerman. Using multidimensional item response theory to understand what items and tests are measuring , 1994 .
[26] Gillian Rice,et al. Multidimensional latent traits of perceived organizational innovation: Differences between Thai and Egyptian employees , 2008 .
[27] A. Meade,et al. Examining Question and Context Effects in Organization Survey Data Using Item Response Theory , 2009 .
[28] R. Hambleton,et al. Fundamentals of Item Response Theory , 1991 .
[29] Klara Nelson. Global information systems quality: key issues and challenges , 1996 .
[30] Oreste Signore,et al. A comprehensive model for Web sites quality , 2005, Seventh IEEE International Symposium on Web Site Evolution.
[31] Peter M. Bentler,et al. Exploratory Bi-Factor Analysis , 2011, Psychometrika.
[32] C. Flavián,et al. Perceived e‐service quality (PeSQ) , 2007 .
[33] Dalton Francisco de Andrade,et al. Measuring web usability using item response theory: Principles, features and opportunities , 2011, Interact. Comput..
[34] Susan E. Embretson,et al. A multidimensional latent trait model for measuring learning and change , 1991 .
[35] Steven M Downing,et al. Item response theory: applications of modern test theory in medical education , 2003, Medical education.
[36] C. Flavián,et al. Perceived e-service quality ( PeSQ ) Measurement validation and effects on consumer satisfaction and web site loyalty , 2012 .
[37] V. Zeithaml,et al. E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality , 2004 .
[38] Thong Ngee Goh,et al. Quality dimensions of Internet search engines , 1998, J. Inf. Sci..
[39] José G. Dias,et al. Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation , 2006, Data Science and Classification.
[40] Klaas Sijtsma,et al. Introduction to the measurement of psychological attributes , 2011 .
[41] Gustavo Rossi,et al. Specifying Quality Characteristics and Attributes for Websites , 2001, Web Engineering.
[42] Minjoon Jun,et al. Internet users' perceptions of online service quality: a comparison of online buyers and information searchers , 2003 .
[43] Johannes Hartig,et al. Multidimensional IRT models for the assessment of competencies , 2009 .
[44] K. Holzinger,et al. The Bi-factor method , 1937 .
[45] Klaus Opwis,et al. Mental models for web objects: Where do users expect to find the most frequent objects in online shops, news portals, and company web pages? , 2010, Interact. Comput..
[46] Kicka Lindroos,et al. Use quality and the World Wide Web , 1997, Inf. Softw. Technol..
[47] Mei Wang,et al. Evaluating the usability of Web-based learning tools , 2002, J. Educ. Technol. Soc..
[48] Naveen Donthu,et al. Developing a Scale to Measure the Perceived Quality of An Internet Shopping Site ( SITEQUAL ) , 2005 .
[49] Nathan T. Carter,et al. Using Mixed-Model Item Response Theory to Analyze Organizational Survey Responses: An Illustration Using the Job Descriptive Index , 2011 .
[50] Robert A. Forsyth,et al. An Examination of the Characteristics of Unidimensional IRT Parameter Estimates Derived From Two-Dimensional Data , 1985 .
[51] Adel M. Aladwani. Implications of some of the recent improvement philosophies for the management of the information systems organization , 1999 .
[52] Rian van der Merwe,et al. A framework and methodology for evaluating e-commerce Web sites , 2003, Internet Res..
[53] Utilização da teoria da resposta ao item na produção de indicadores sócio-econômicos , 2005 .
[54] Dominique P. Rauch,et al. Multiple-choice versus open-ended response formats of reading test items: A two-dimensional IRT analysis , 2010 .
[55] Olivia R. Liu Sheng,et al. e-SELFQUAL: A scale for measuring online self-service quality , 2011 .
[56] Michael F. Green,et al. Bifactor and item response theory analyses of interviewer report scales of cognitive impairment in schizophrenia. , 2011, Psychological assessment.
[57] David M. Lahuis,et al. An Examination of Item Response Theory Item Fit Indices for the Graded Response Model , 2011 .
[58] W. Revelle. psych: Procedures for Personality and Psychological Research , 2017 .
[59] E. Muraki,et al. Full-Information Item Factor Analysis , 1988 .
[60] T. C. Oshima,et al. Multidimensionality and Item Bias in Item Response Theory , 1992 .
[61] Mark Wilson,et al. Using the concept of a measurement system to characterize measurement models used in psychometrics , 2013 .
[62] Donald Hedeker,et al. Full-information item bi-factor analysis , 1992 .
[63] R. Philip Chalmers,et al. mirt: A Multidimensional Item Response Theory Package for the R Environment , 2012 .
[64] H. Akaike. Maximum likelihood identification of Gaussian autoregressive moving average models , 1973 .
[65] M. Reckase. Multidimensional Item Response Theory , 2009 .
[66] Shailey Minocha,et al. Usability beyond the website: An empirically-grounded e-commerce evaluation instrument for the total customer experience , 2006, Behav. Inf. Technol..
[67] Timon C. Du,et al. A study of the service quality of general portals , 2009, Inf. Manag..
[68] Frederic Marimon Viadiu,et al. Functional quality and hedonic quality: A study of the dimensions of e-service quality in online travel agencies , 2012, Inf. Manag..
[69] Moshe Zviran,et al. Information systems effectiveness: research designs for causal inference , 1994, Inf. Syst. J..
[70] Mark D. Reckase,et al. The Difficulty of Test Items That Measure More Than One Ability , 1985 .
[71] Kori Inkpen Quinn,et al. Left‐handed scrolling for pen‐based devices , 2006, Int. J. Hum. Comput. Interact..
[72] M. Fassnacht,et al. Quality of Electronic Services , 2006 .
[73] Rafael Tezza,et al. Relevance and advantages of using the item response theory , 2013 .
[75] Donald Hedeker,et al. Full-Information Item Bifactor Analysis of Graded Response Data , 2007 .
[76] Shari Lawrence Pfleeger,et al. Software Quality: The Elusive Target , 1996, IEEE Softw..
[77] Terry A. Ackerman. The Use of Unidimensional Parameter Estimates of Multidimensional Items in Adaptive Testing , 1991 .
[78] Representation of Competencies in Multidimensional IRT Models with Within-Item and Between-Item Multidimensionality , 2008 .
[79] Renata Zilse,et al. Ergodesign e arquitetura da informação: trabalhando com o usuário , 2010 .
[80] Robert J. McQueen,et al. Developing an Evaluation Instrument for e-Commerce Web Sites from the First-Time Buyer’s Viewpoint , 2004 .
[81] Roy Levy,et al. Posterior Predictive Model Checking for Conjunctive Multidimensionality in Item Response Theory , 2011 .
[82] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[83] B. Muthén,et al. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .
[84] Norman F. Schneidewind,et al. Methodology For Validating Software Metrics , 1992, IEEE Trans. Software Eng..
[85] Ramayya Krishnan,et al. Assessing data quality in accounting information systems , 1998, CACM.
[86] Steven P. Reise,et al. The role of the bifactor model in resolving dimensionality issues in health outcomes measures , 2007, Quality of Life Research.
[87] Daniel A. Newman,et al. Using Mixed-Measurement Item Response Theory With Covariates (MM-IRT-C) to Ascertain Observed and Unobserved Measurement Equivalence , 2011 .
[88] D. Seo. Application of the Bifactor Model to Computerized Adaptive Testing. , 2011 .
[89] H. R. Rao,et al. A multidimensional trust formation model in B-to-C e-commerce: a conceptual framework and content analyses of academia/practitioner perspectives , 2005, Decision Support Systems.
[90] Gregory Camilli,et al. A Conceptual Analysis of Differential Item Functioning in Terms of a Multidimensional Item Response Model , 1992 .
[91] A. Parasuraman,et al. Service quality delivery through web sites: A critical review of extant knowledge , 2002, Journal of the Academy of Marketing Science.