Office Location:
554 GDodgeTC Affiliations:
Educational Background
Scholarly Interests
Selected Publications
DeCarlo, L. T. (in press). Fused SDT/IRT models for mixed-format exams. Educational and Psychological Measurement, xx, xxx-xxx.
DeCarlo, L. T. (2023). Classical item analysis from a signal detection perspective. Journal of Educational Measurement, 60, 520-547.
DeCarlo, L. T. (2021). On joining a signal detection choice model with response time models. Journal of Educational Measurement, 58, 438-464.
DeCarlo, L. T. (2021). A signal detection model for multiple-choice exams. Applied Psychological Measurement, 45, 423-440.
DeCarlo, L. T., & Zhou, X. (2021). A latent class signal detection model for rater scoring with ordered perceptual distributions. Journal of Educational Measurement, 58, 31-53.
DeCarlo, L. T. (2020). An item response model for true-false exams based on signal detection theory. Applied Psychological Measurement, 44, 215-229.
DeCarlo, L. T. (2019). Insights from reparameterized DINA and beyond. In M. von Davier, & Y.-S. Lee (Eds.), Handbook of Diagnostic Classification Models (pp. 223-243). New York: Springer.
Publications
DeCarlo, L. T. (2021). On joining a signal detection choice model with response time models. Journal of Educational Measurement, 58, 438-464.
DeCarlo, L. T. (2021). A signal detection model for multiple-choice exams. Applied Psychological Measurement, 45, 423-440.
DeCarlo, L. T., & Zhou, X. (2021). A latent class signal detection model for rater scoring with ordered perceptual distributions. Journal of Educational Measurement, 58, 31-53.
DeCarlo, L. T. (2020). An item response model for true-false exams based on signal detection theory. Applied Psychological Measurement, 44, 215-229.
DeCarlo, L. T. (2019). Insights from reparameterized DINA and beyond. In M. von Davier, & Y.-S. Lee (Eds.), Handbook of Diagnostic Classification Models (pp. 223-243). New York: Springer.
Kim, Y. K., & DeCarlo, L. T. (2016). Evaluating equity at the local level using bootstrap tests. Research Report No. 2016-4. New York: The College Board.
Kim, Y. K., DeCarlo, L. T., & Reshetar, R. (2014). Linking with constructed response items: A hierarchical model approach with AP data. KAERA Research Forum, 1, 26-35.
DeCarlo, L. T. (2013). Signal detection models for the same-different task. Journal of Mathematical Psychology, 57, 43-51.
Zhang, S. S., DeCarlo, L. T., & Ying, Z. (2013). Non-identifiability, equivalence classes, and attribute-specific classification in Q-matrix based cognitive diagnosis models. Available at: http://arxiv.org/abs/1303.0426v1
DeCarlo, L. T. (2012). Recognizing uncertainty in the Q-matrix via a Bayesian extension of the DINA model. Applied Psychological Measurement, 36, 447-468.
DeCarlo, L. T., Kim, Y. K., & Johnson, M. S. (2011). A hierarchical rater model for constructed responses, with a signal detection rater model. Journal of Educational Measurement, 48, 333-356.
O'Connell, K. A., Shiffman, S., & DeCarlo, L. T. (2011). Does extinction of responses to cigarette cues occur during smoking cessation? Addiction, 106, 410-417.
DeCarlo, L. T. (2010). On the statistical and theoretical basis of signal detection theory and extensions: Unequal variance, random coefficient, and mixture models. Journal of Mathematical Psychology, 54, 304-313.
DeCarlo, L. T. (2008). Studies of a latent-class signal-detection model for constructed response scoring (ETS Research Rep. No. RR-08-63). Princeton NJ: ETS.
DeCarlo, L. T. (2008). Process dissociation and mixture signal detection theory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 1565-1572.
Teghtsoonian, M., Teghtsoonian, R., & DeCarlo, L. T. (2008). The influence of trial-to trial recalibration on sequential effects in cross-modality matching. Psychological Research, 72, 115-122.
DeCarlo, L. T. (2007). The mirror effect and mixture signal detection theory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 18-33.
DeCarlo, L. T. (2006). Sequential effects in successive ratio estimation. Perception & Psychophysics, 68, 861-871.
DeCarlo, L. T. (2005). A model of rater behavior in essay grading based on signal detection theory. Journal of Educational Measurement, 42, 53-76.
DeCarlo, L. T. (2005). On bias in magnitude scaling and some conjectures of Stevens. Perception & Psychophysics, 67, 886-896.
DeCarlo, L. T. (2003). An application of signal detection theory with finite mixture distributions to source discrimination. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 767-778.
DeCarlo, L. T. (2003). Source monitoring and multivariate signal detection theory, with a model for selection. Journal of Mathematical Psychology, 47, 292-303.
DeCarlo, L. T. (2003). Using the PLUM procedure of SPSS to fit unequal variance and generalized signal detection models. Behavior Research Methods, Instruments, & Computers, 35, 49-56.
DeCarlo, L. T. (2003). An application of a dynamic model of judgment to magnitude production. Perception & Psychophysics, 65, 152-162.
DeCarlo, L. T. (2002). Signal detection theory with finite mixture distributions: Theoretical developments with applications to recognition memory. Psychological Review, 109, 710-721.
DeCarlo, L. T. (2002). A latent class extension of signal detection theory, with applications. Multivariate Behavioral Research, 37, 423-451.
DeCarlo, L. T., & Luthar, S. S. (2000). Analysis and class validation of a measure of parental values perceived by early adolescents: An application of a latent class model for rankings. Educational and Psychological Measurement, 60, 578-591.
DeCarlo, L. T. (1998). Signal detection theory and generalized linear models. Psychological Methods, 3, 186-205.
DeCarlo, L. T. (1997). On the meaning and use of kurtosis. Psychological Methods, 2, 292-307.
DeCarlo, L. T. (1994). A dynamic theory of proportional judgment: Context and judgment of length, heaviness, and roughness. Journal of Experimental Psychology: Human Perception & Performance, 20, 372-381.
DeCarlo, L. T., & Tryon, W. W. (1993). Estimating and testing autocorrelation with small samples: A comparison of the C-statistic to a modified estimator. Behavior Research and Therapy,31, 781-788.
DeCarlo, L. T. (1992). Intertrial interval and sequential effects in magnitude scaling. Journal of Experimental Psychology: Human Perception & Performance, 18, 1080-1088.
DeCarlo, L. T. & Cross, D. V. (1990). Sequential effects in magnitude scaling: Models and theory. Journal of Experimental Psychology: General, 104, 375-396.