Computational Aspects of Psychometric Methods 1st Edition

Computational Aspects of Psychometric Methods (1st Edition) by Patricia Martinková and Adéla Hladká is a rigorous yet accessible guide that brings modern computational thinking to psychometrics. Designed for researchers, graduate students, and practitioners in psychological and educational measurement, this book connects statistical theory with practical algorithmic approaches to measurement, estimation, and model evaluation.

Begin with clear explanations of core topics—item response theory, factor analysis, latent trait modeling, and scale reliability—and move quickly into the computational strategies that make contemporary psychometric work possible. The authors balance mathematical precision with readable narrative, offering step-by-step descriptions of estimation procedures, convergence diagnostics, and numerical optimization techniques. Emphasis on algorithmic implementation and model interpretation helps readers translate abstract models into actionable results for assessment design, survey research, and diagnostic testing.

Readers will appreciate the book’s practical orientation: illustrative examples, comparative discussions of classical and modern approaches, and guidance on choosing methods for real-world data challenges. Whether you are validating a new instrument, conducting large-scale educational assessments, or exploring Bayesian and frequentist estimation techniques, this volume equips you with the conceptual tools and computational insight to proceed confidently.

Globally relevant and particularly useful for university courses and applied research teams across Europe, North America, and beyond, this first edition is both a classroom companion and a professional reference. For anyone serious about the intersection of psychometrics and computation, this book offers clarity, depth, and immediate applicability. Order your copy today to strengthen your measurement practice and advance your research in psychometric methods.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.