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Improving Norm Score Quality with Regression-Based Continuous Norming
Psychological Measurement and Testing

How Continuous Norming Outperforms Conventional Methods

Lenhard and Lenhard (2021) investigate how regression-based continuous norming can enhance the quality of norm scores in psychometric testing. Their study compares semiparametric continuous norming (SPCN) with conventional methods, evaluating performance across a wide range of simulated test conditions and sample sizes. Background Norm scores are crucial in psychological and …

Assessing Missing Data Handling Methods in Sparse Educational Datasets
Statistical Methods and Data Analysis

Assessing Missing Data Handling Methods in Sparse Educational Datasets

The study by Xiao and Bulut (2020) evaluates how different methods for handling missing data perform when estimating ability parameters from sparse datasets. Using two Monte Carlo simulations, the research highlights the strengths and limitations of four approaches, providing valuable insights for researchers and practitioners in educational and psychological measurement. …

The Role of Item Distributions in Reliability Estimation
Statistical Methods and Data Analysis

The Role of Item Distributions in Reliability Estimation

Olvera Astivia, Kroc, and Zumbo’s (2020) study examines the assumptions underlying Cronbach’s coefficient alpha and how the distribution of items affects reliability estimation. By introducing a new framework rooted in Fréchet-Hoeffding bounds, the authors offer a fresh perspective on the limitations of this widely used reliability measure. Their work provides …