Exploring the Robustness of a Unidimensional Item Response Theory Model With Empirically Multidimensional Data
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[1] J. Horn. A rationale and test for the number of factors in factor analysis , 1965, Psychometrika.
[2] Christine E. DeMars. Application of the Bi-Factor Multidimensional Item Response Theory Model to Testlet-Based Tests. , 2006 .
[3] Daniel M. Bolt,et al. Estimation of Compensatory and Noncompensatory Multidimensional Item Response Models Using Markov Chain Monte Carlo , 2003 .
[4] B. Muthén. Contributions to factor analysis of dichotomous variables , 1978 .
[5] Akihito Kamata,et al. A Note on the Relation Between Factor Analytic and Item Response Theory Models , 2008 .
[6] Yeh-Tai Chou,et al. Checking Dimensionality in Item Response Models With Principal Component Analysis on Standardized Residuals , 2010 .
[7] W Revelle,et al. Very Simple Structure: An Alternative Procedure For Estimating The Optimal Number Of Interpretable Factors. , 1979, Multivariate behavioral research.
[8] Nilufer Kahraman. Unidimensional Interpretations for Multidimensional Test Items , 2013 .
[9] F. Holgado-Tello,et al. Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables , 2008 .
[10] Stephen G. Sireci,et al. ON THE RELIABILITY OF TESTLET‐BASED TESTS , 1991 .
[11] Edward Haksing Ip,et al. Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models. , 2010, The British journal of mathematical and statistical psychology.
[12] W. Revelle. psych: Procedures for Personality and Psychological Research , 2017 .
[13] April L. Zenisky,et al. Identification and Evaluation of Local Item Dependencies in the Medical College Admissions Test , 2002 .
[14] Christine E. DeMars. A Tutorial on Interpreting Bifactor Model Scores , 2013 .
[15] Frank Rijmen,et al. Formal Relations and an Empirical Comparison among the Bi‐Factor, the Testlet, and a Second‐Order Multidimensional IRT Model , 2010 .
[16] Hadley Wickham,et al. ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .
[17] David R. Anderson,et al. Multimodel Inference , 2004 .
[18] W. Velicer,et al. Comparison of five rules for determining the number of components to retain. , 1986 .
[19] Francisco Pablo Holgado Tello,et al. Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables , 2010 .
[20] J. Horn,et al. Cattell's Scree Test In Relation To Bartlett's Chi-Square Test And Other Observations On The Number Of Factors Problem. , 1979, Multivariate behavioral research.
[21] Chong Ho Yu,et al. A data visualization and data mining approach to response and non-response analysis in survey research , 2007 .
[22] R. Henson,et al. Use of Exploratory Factor Analysis in Published Research , 2006 .
[23] William Stout,et al. A nonparametric approach for assessing latent trait unidimensionality , 1987 .
[24] C. Parsons,et al. Application of Unidimensional Item Response Theory Models to Multidimensional Data , 1983 .
[25] R. Lissitz,et al. Applying Multidimensional Item Response Theory Models in Validating Test Dimensionality: An Example of K-12 Large-Scale Science Assessment. , 2012 .
[26] Anders Christoffersson,et al. Factor analysis of dichotomized variables , 1975 .
[27] William Revelle,et al. An overview of the psych package , 2009 .
[28] Brenda Sugrue,et al. The Lack of Fidelity between Cognitively Complex Constructs and Conventional Test Development Practice. , 2005 .
[29] Wendy M. Yen,et al. Scaling Performance Assessments: Strategies for Managing Local Item Dependence , 1993 .
[30] Rianne Janssen,et al. Modeling Item-Position Effects Within an IRT Framework , 2012 .
[31] Howard Wainer,et al. Precision and Differential Item Functioning on a Testlet-Based Test: The 1991 Law School Admissions Test as an Example , 1995 .
[32] Ratna Nandakumar,et al. Traditional Dimensionality Versus Essential Dimensionality , 1991 .
[33] William F. Strout. A new item response theory modeling approach with applications to unidimensionality assessment and ability estimation , 1990 .
[34] F. Drasgow,et al. Modified parallel analysis: A procedure for examining the latent dimensionality of dichotomously scored item responses. , 1983 .
[35] David A. Harrison,et al. Robustness of Irt Parameter Estimation to Violations of The Unidimensionality Assumption , 1986 .
[36] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[37] W. Velicer. Determining the number of components from the matrix of partial correlations , 1976 .
[38] Pedro M. Valero-Mora,et al. Determining the Number of Factors to Retain in EFA: An easy-to-use computer program for carrying out Parallel Analysis , 2007 .
[39] Sanjay Mishra,et al. Efficient theory development and factor retention criteria: Abandon the ‘eigenvalue greater than one’ criterion , 2008 .