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Psychometrics: The Science of Psychological Measurement
Psychological Measurement and Testing

Psychometrics: The Science of Psychological Measurement

Psychometrics, a specialized branch within psychology, is dedicated to the theory and methodology of psychological measurement. This discipline encompasses the development and refinement of testing instruments, measurement techniques, and assessment procedures aimed at quantifying latent psychological constructs—attributes not directly observable but inferable through systematic analysis. Such constructs include intelligence, personality …

Addressing the Divide Between Psychology and Psychometrics
Statistical Methods and Data Analysis

Addressing the Divide Between Psychology and Psychometrics

The article “Rejoinder to McNeish and Mislevy: What Does Psychological Measurement Require?” by Klaas Sijtsma, Jules L. Ellis, and Denny Borsboom provides a detailed response to criticisms and discussions raised by McNeish and Mislevy regarding the role and application of the sum score in psychometric practices. The authors address core …

Refining Reliability with Attenuation-Corrected Estimators
Statistical Methods and Data Analysis

Refining Reliability with Attenuation-Corrected Estimators

Jari Metsämuuronen’s (2022) article introduces a significant advancement in how reliability is estimated within psychological assessments. The study critiques traditional methods for their tendency to yield deflated results and proposes new attenuation-corrected estimators to address these limitations. This review examines the article’s contributions and its implications for improving measurement precision. …

Optimizing Item Parameter Estimation for the Generalized Graded Unfolding Model
Statistical Methods and Data Analysis

Optimizing Item Parameter Estimation for the Generalized Graded Unfolding Model

Roberts and Thompson (2011) conducted a thorough analysis of item parameter estimation methods within the Generalized Graded Unfolding Model (GGUM). Their work focused on the performance of the Marginal Maximum A Posteriori (MMAP) procedure compared to other approaches, including Marginal Maximum Likelihood (MML) and Markov Chain Monte Carlo (MCMC). By …