If you’ve taken the GRE, GMAT, or certain professional certification exams, you may have noticed something odd: the questions seemed to adjust to your level. You weren’t imagining it. These tests use Computerized Adaptive Testing (CAT), a sophisticated approach that tailors each test to the individual test-taker in real time. …
Simulated data is the laboratory of psychometric methodology. Every methodological claim about how an IRT estimator behaves under sparse data, how a fit index responds to specific kinds of misspecification, or how a small-sample equating procedure compares to a large-sample one is, ultimately, a claim about how the procedure performs …
The Kang (2023) Psychometrika paper applies sequential generalized likelihood ratio (GLR) testing to a problem that has become increasingly pressing as testing has moved online and continuous: detecting when item parameters in an operational test bank have drifted. The core issue is straightforward—if item difficulty, discrimination, or guessing parameters change …
The Anselmi, Robusto, and Cristante (2023) paper in Applied Psychological Measurement proposes a methodological refinement to a setting that sits awkwardly between two well-developed bodies of psychometric theory: batteries of unidimensional tests, where each test measures a single ability but the abilities are correlated. The standard CAT machinery treats each …
The Roozenbeek, Maertens, McClanahan, and van der Linden (2020) paper in Educational and Psychological Measurement is a methodologically focused stress-test of the gamified misinformation-inoculation paradigm developed in the same group’s earlier 2019 Palgrave Communications work. Where the 2019 paper established that the Bad News game produces measurable improvement in players’ …
