Bayesian inference for an item response model for modeling test anxiety

Computational Statistics and Data Analysis

Volumn 55, Issue 12, 2011, Pages 3165-3182

  Da Silva, C Q ^a   Gomes, A E ^a  

^a UNIVERSITY OF BRASILIA   (Brazil)

Author keywords

Bayesian analysis; Item response theory; Test anxiety

Indexed keywords

BAYESIAN ANALYSIS; BAYESIAN INFERENCE; BIRNBAUM; EMOTIONAL STATE; ITEM RESPONSE MODELS; ITEM RESPONSE THEORY; MODELING TEST; SIMULATED DATA; TEST ANXIETY; TESTING SESSIONS;

BAYESIAN NETWORKS; ESTIMATION; INFERENCE ENGINES;

STATISTICAL TESTS;

EID: 79961171810     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2011.05.016     Document Type: Article

References (21)

1. Birnbaum, A., 1957. Efficient design and use of test of a mental ability for various decision-making problems (Series Report No. 5816). Washington, DC: USAF School of Aviation Medicine.
2. A. Birnbaum Some latent trait models and their use in inferring an examinee's ability F.M. Lord, M.R. Novick, Statistical Theories of Mental Test Scores 1968 Addison-Wesley Reading, Massachusetts 395 479
3. G.E.P. Box, and G.C. Tiao Bayesian Inference in Statistical Analysis 1973 J. Wiley New York 360p
4. S. Chib, and E. Greenberg Understanding the MetropolisHastings algorithm The American Statistician 49 1995 327 335
5. G.J. Cizek, and S.S. Burg Addressing Test Anxiety in a High-Stakes Environment: Strategies for Classrooms and Schools 2005 Corwin Press
6. A.J. Elliot, A. Holly, and H.A. McGregor Test anxiety and the hierarchical model of approach and avoidance achievement motivation Journal of Personality and Social Psychology 76 4 1999 628 644
7. H.T. Everson, I. Smodlaka, and S. Tobias Exploring the relationship of test anxiety and metacognition on reading test performanceee: a cognitive analysis Anxiety, Stress & Coping 7 1 1994 85 96
8. A.E. Gelfand, A.F.M. Smith, and T.M. Lee Bayesian analysis of constrained parameter and truncated data problems using gibbs sampling Journal of the American Statistical Association 87 1992 523 532
9. A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Bayesian Data Analysis 2nd ed. 2003 Chapman & Hall Boca Raton
10. A. Gelman, and D.B. Rubin Inference from iterative simulation using multiple sequences (with discussion) Statistical Science 7 1992 457 511
11. W.R. Gilks, and G.O. Roberts W.R. Gilks, S. Richardson, D.J. Spiegehalter, Strategies for Improving MCMC Markov Chain Monte Carlo Practice 1996 75 78
12. P. Heidelberger, and P. Welch Simulation run length control in the presence of initial transient Operations Research 31 1983 1109 1144 (Pubitemid 14509625)
13. D.M. LaHuis, and D. Copeland Investigating faking using a multilevel logistic regression approach to measuring person fit Organizational Research Methods 12 2 2009 296 319
14. L.M. Morris, M.A. Davis, and C.H. Hutchings Cognitive and emotional components of anxiety: literature review and a revised worry-emotionality scale Journal of Educational Psychology 73 4 1981 541 555
15. R.J. Patz, and B.W. Junker A straightforward approach to Markov chain Monte Carlo methods for item response models Journal of Educational and Behavioral Statistics 24 2 1999 146 178
16. K. Proost, E. Derous, B. Schreurs, K.A. Hagtvet, and K. De Witte Selection test anxiety: investigating applicants' self- vs other-referenced anxiety in a real selection setting International Journal of Selection and Assessment 16 1 2008 14 26
17. I.G. Sarason Stress, anxiety, and cognitive interference: reactions to tests Journal of Personality and Social Psychology 46 4 1984 929 938
18. T.M. Soares, D. Gamermam, and F.B. Gonalves An integrated Bayesian model for DIF analysis Journal of Educational and Behavioral Statistics 34 3 2009 348 377
19. Thissen, D., 2001. IRTLRDIF v2.0b; Software for the Computation of the Statistics Involved in Item Response Theory Likelihood-Ratio Tests for Differential Item Functioning. Available on Dave Thissen's web page.
20. M.J. Zickar Modeling faking on personality tests D.R. Ilgen, C.L. Hulin, Computational Modeling of Behavior in Organizations: The Third Scientific Discipline 2000 American Psychological Association Washington, DC 95 113
21. M.J. Zickar Detecting faking on a personality instrument using appropriateness measurement Applied Psychological Measurement 20 1 1996 71 87 (Pubitemid 126328994)