Covers a range of item bias detection methods from item response theory to non-parametric categorical methods for comprehensive testing analysis
Explains the logic and limitations of each method, helping researchers interpret results accurately
Includes practical advice on the most useful methods for particular test situations, enhancing application
Summarizes findings on the behavior of bias indices in empirical studies, supporting evidence-based decision-making
Concludes with principles for determining when differential item functioning constitutes bias, clarifying interpretation
Summarized by Shop
This book makes clear to researchers what item-bias methods can (and cannot) do, how they work and how they should be interpreted. Advice is provided on the most useful methods for particular test situations. The authors explain the logic of each method - from item-response theory to nonparametric, categorical methods - in terms of how