A Note on the Hierarchical Model for Responses and Response Times in Tests of van der Linden (2007)

Psychometrika

Volumn 78, Issue 3, 2013, Pages 538-544

  Ranger, Jochen ^a  

^a MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

Author keywords

item response theory; response time; test information

Indexed keywords

ALGORITHM; APTITUDE; HUMAN; PHYSIOLOGY; PSYCHOLOGIC TEST; REACTION TIME; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; APTITUDE; HUMANS; MODELS, STATISTICAL; PSYCHOLOGICAL TESTS; REACTION TIME; REGRESSION ANALYSIS;

EID: 84879145621     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11336-013-9324-6     Document Type: Article

References (19)

1. Baker, F., & Kim, S. (2004). Item response theory: parameter estimation techniques (2nd ed.). New York: Marcel Dekker.
2. Ferrando, P., & Lorenzo-Seva, U. (2007). An item response theory model for incorporating response time data in binary personality items. Applied Psychological Measurement, 31, 525-543.
3. Furneaux, W. (1952). Some speed, error and difficulty relationships within a problem-solving situation. Nature, 170, 37-38.
4. Loyes, T., Rosseel, Y., & Baten, K. (2011). A joint modeling approach for reaction time and accuracy in psycholinguistic experiments. Psychometrika, 76, 487-503.
5. Ni, Z., & Kedem, B. (2000). Normal orthant probabilities in the equicorrelation case. Journal of Mathematical Analysis and Applications, 246, 280-295.
6. Orchard, T., & Woodbury, M. (1972). A missing information principle: theory and applications. In Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability (Vol. 1, pp. 697-715).
7. Ranger, J., & Ortner, T. (2011). Assessing personality traits through response latencies using item response theory. Educational and Psychological Measurement, 71, 389-406.
8. Roskam, E. (1997). Models for speed and time-limit tests. In W. van der Linden & R. Hambelton (Eds.), Handbook of modern item response theory (pp. 187-208). New York: Springer.
9. Sorensen, D., & Gianola, D. (2002). Likelihood, Bayesian, and MCMC methods in quantitative genetics. Berlin: Springer.
10. Thissen, D. (1983). Timed testing: an approach using item response theory. In D. Weiss (Ed.), New horizons in testing: latent trait test theory and computerized adaptive testing (pp. 179-203). New York: Academic Press.
11. van Breukelen, G., & Roskam, E. (1991). A Rasch model for the speed-accuracy tradeoff in time-limited tests. In J. Doignon & J. Falmagne (Eds.), Mathematical psychology: current developments (pp. 251-271). New York: Springer.
12. van der Linden, W. (2007). A hierarchical framework for modeling speed and accuracy on test items. Psychometrika, 72, 287-308.
13. van der Linden, W. (2008). Using response times for item selection in adaptive tests. Journal of Educational and Behavioral Statistics, 31, 5-20.
14. van der Linden, W. (2009a). A bivariate lognormal response-time model for the detection of collusion between test takers. Journal of Educational and Behavioral Statistics, 34, 378-394.
15. van der Linden, W. (2009b). Conceptual issues in response-time modeling. Journal of Educational Measurement, 46, 247-272.
16. van der Linden, W., Klein Entink, R., & Fox, J.-P. (2010). IRT parameter estimation with response times as collateral information. Applied Psychological Measurement, 34, 327-347.
17. van der Linden, W., & van Krimpen-Stoop, E. (2003). Using response times to detect aberrant responses in computerized adaptive testing. Psychometrika, 68, 251-265.
18. van der Maas, H., Molenaar, D., Maris, G., Kievit, R., & Boorsboom, D. (2011). Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences. Psychological Review, 118, 339-356.
19. Verhelst, N., Verstralen, H., & Jansen, M. (1997). A logistic model for time-limit tests. In W. van der Linden & R. Hambelton (Eds.), Handbook of modern item response theory (pp. 169-185). New York: Springer.