Constructing Validity: New Developments in Creating Objective Measuring Instruments
This publication provides an important update to the classic Clark and Watson (1995) article regarding scale construction. Topics covered include identification of the target constructs, development of item pool, validation samples, application of hierarchical structures and IRT.
Clark, L. A., & Watson, D. (2019, March 21). Constructing Validity: New Developments in Creating Objective Measuring Instruments. Psychological Assessment. Advance online publication. https://dx.doi.org/10.1037/pas0000626
What can qualitative research contribute to psychological knowledge?
This paper maps the boundaries that contain and define qualitative research. It describes what differentiates qualitative research from other types of research and describes what qualitative research can contribute to the field.
Willig, C. (2019, April 22). What can qualitative research contribute to psychological knowledge? Psychological Methods. Advance online publication. https://dx.doi.org/10.1037/met0000218
Optimal Scores: An Alternative to Parametric Item Response Theory and Sum Scores
Theoretical arguments in favor of optimal scoring are provided and supplemented with results from simulations studies, and the analysis of test data.
Wiberg, M., Ramsay, J. O., & Li, J. (2019). Optimal Scores: An Alternative to Parametric Item Response Theory and Sum Scores. Psychometrika, 84(1), 310-322.
A New Person‐Fit Statistic for the Lognormal Model for Response Times. Journal of Educational Measurement
Response‐time models are of increasing interest in educational and psychological research. This article focuses on the lognormal model for response times and suggests a simple person‐fit statistic for model evaluation.
Sinharay, Sandip. (2018). A New Person‐Fit Statistic for the Lognormal Model for Response Times. Journal of Educational Measurement, 55, 457-476.
A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling
Multinomial processing trees (MPTs) are a commonly used method for applying cognitive models to categorical data. This paper describes how a bridge sampling procedure can be used to compute marginal likelihoods for hierarchical MPTs.
Gronau, Q. F., Wagenmakers, E. J., Heck, D. W., & Matzke, D. (2019). A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling. Psychometrika, 84(1), 261-284.