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This new text provides a state-of the-art introduction to educational and psychological testing and measurement theory that reflects many intellectual developments of the past two decades. The book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation throughout, so as to better prepare readers for studying more advanced topics later in their careers. Featuring numerous examples, it presents an applied approach to conducting testing and measurement in the behavioral, social, and educational sciences. Readers will find numerous tips on how to use test theory in today's actual testing situations. To reflect the growing use of statistical software in psychometrics, the authors introduce the use of Mplus after the first few chapters. IBM SPSS, SAS, and R are also featured in several chapters. Software codes and associated outputs are reviewed throughout to enhance comprehension. Essentially all of the data used in the book are available on the website. In addition instructors will find helpful PowerPoint lecture slides and questions and problems for each chapter. The authors rely on LVM when discussing fundamental concepts such as exploratory and confirmatory factor analysis, test theory, generalizability theory, reliability and validity, interval estimation, nonlinear factor analysis, generalized linear modeling, and item response theory. The varied applications make this book a valuable tool for those in the behavioral, social, educational, and biomedical disciplines, as well as in business, economics, and marketing. A brief introduction to R is also provided. Intended as a text for advanced undergraduate and/or graduate courses in psychometrics, testing and measurement, measurement theory, psychological testing, and/or educational and/or psychological measurement taught in departments of psychology, education, human development, epidemiology, business, and marketing, it will also appeal to researchers in these disciplines. Prerequisites include an introduction to statistics with exposure to regression analysis and ANOVA. Familiarity with SPSS, SAS, STATA, or R is also beneficial. As a whole, the book provides an invaluable introduction to measurement and test theory to those with limited or no familiarity with the mathematical and statistical procedures involved in measurement and testing.
Psychometrics An Introduction Furr Pdf Download Pc
The authors center their presentation of material around a conceptual understanding of psychometric issues, such as validity and reliability, and on purpose rather than procedure, the 'why' rather than the 'how to.' Their goal is to introduce psychometric principles at a level that is deeper and more focused than found in introductory undergraduate testing and measurement texts and more intuitive than traditionally found in technical publications intended for graduate courses. By emphasizing concepts over mathematical proofs and by focusing on practical significance, this book assists students in appreciating not just how measurement problems can be addressed and why it is important to address them. The book: (1) Presents information in a clear, conversational style; (2) Highlights practical applications; (3) Offers a contemporary treatment of topics in psychometrics; and (4) Introduces statistical procedures in the context of their use. The book is appropriate for advanced undergraduate and graduate courses such as Psychometrics, Testing and Measurement, Research Methods, and Experimental Methods across a range of behavioral sciences and education. Thirteen sections include: (1) Psychometrics and the Importance of Psychological Measurement; (2) Scaling; (3) Individual Differences and Correlations; (4) Test Dimensionality and Factor Analysis; (5) Reliability: Conceptual Basis; (6) Empirical Estimates of Reliability; (7) Importance of Reliability; (8) Validity: The Conceptual Basis; (9) Validity: Estimating and Evaluating Convergent and Discriminant Validity; (10) Response Biases; (11) Test Bias; (12) Generalizability Theory; and (13) Item Response Theory and Rasch Models. Most sections provide a summary and suggested readings.