Statistical Theories of Mental Test Scores


Book Description

One of the most important books in the history of psychometrics has been virtually unavailable to scholars and students for decades. A gap in the archives of modern test theory is now being filled by the release in paperback for the first time of the classic text, Statistical Theories of Mental Test Scores, by the late and honored statisticians and psychometricians, Frederic M. Lord and Melvin R. Novick. No single book since 1968 when Lord & Novick first appeared has had a comparable impact on the practice of testing and assessment. Information Age Publishing is proud to make this classic text available to a new generation of scholars and researchers.







Statistical Theories of Mental Test Scores


Book Description

The goal of this book is to sharpen the skill, sophistication, and intuition of the reader in the interpretation of mental test data, and in the construction and use of mental tests both as instruments of psychological theory and as tools in the practical problems of selection, evaluation, and guidance. This has been done by exposing the reader to some psychologically meaningful statistical theories of mental test scores. [p.1, ed].







Theory of Mental Tests


Book Description

This classic volume outlines, for both students and professionals, the mathematical theories and equations that are necessary for evaluating a test and for quantifying its characteristics. The author utilizes formulas that evaluate both the reliability and the validity of tests. He also provides the means for evaluating the reliability and validity of total test scores and individual item analysis. The work remains one of the only books on classical test theory to discuss applications, "true score" theory, the effect of test length on reliability and validity, and the effects of univariate and multivariate selection on validity.




Test Scoring


Book Description

Test Scoring provides a summary of traditional true score test theory and modern item response theory related to scoring tests, as well as novel developments resulting from the integration of these approaches. The background material introduced in the first four chapters builds a foundation for the new developments covered in later chapters. These new methods offer alternative psychometric approaches to scoring complex assessments. Each of the book's contributors draws from the classic literature of traditional test theory, as well as psychometric developments of the past decade. The emphasis is on large-scale educational measurement but the topics and procedures may be applied broadly within many measurement contexts. Numerous graphs and illustrative examples based on real tests and actual data are integrated throughout. This multi-authored volume shows the reader how to combine the coded outcomes on individual test items into a numerical summary about the examinee's performance. This book is intended for researchers and students in education and other social sciences interested in educational assessment and policy, the design and development of tests, and the procedures for test administration and scoring. Prerequisites include an introduction to educational and psychological measurement and basic statistics. Knowledge of differential and integral calculus and matrix algebra is helpful but not required.




Advances in Educational and Psychological Testing: Theory and Applications


Book Description

Over the last 20 years there have been a large number of technical advances and changes in the field of educational and psychological testing. According to Anne Anastasi, The decade of the 1980's has been a period of unusual advances in ,psychological testing. Technological progress, theoretical sophistication, and increasing pro fessional responsibility are all evident in the fast-moving events in this field (A. Anastasi, Psychological Testing, Sixth Edition. New York: Macmillan, 1988). On the psychometric front, advances in topics such as item response theory, criterion-referenced measurement, generalizability theory,ยท analy sis of covariance structures, and validity generalization are reshaping the ways that ability and achievement tests are constructed and evaluated, and that test scores are interpreted. But \Jsychometric advances, as substantial and important as they have been, are only a fraction of the major changes in the field of testing. Today, for example, the computer is radically chang ing the ways in which tests are constructed, administered, and scored. Computers are being used to administer tests "adaptively." That is, the sequence of questions an examinee is administered depends upon his or her performance on earlier administered items in the test. Tests are "adapted" to the ability levels of the examinees who are being assessed. One result is shorter tests with little or no loss in measurement precision. Computers are also being used to store or bank test items. Later, items of interest can be selected, and the computer is used to print copies of the test.




Computerized Adaptive Testing: Theory and Practice


Book Description

This book offers a comprehensive introduction to the latest developments in the theory and practice of CAT. It can be used both as a basic reference and a valuable resource on test theory. It covers such topics as item selection and ability estimation, item pool development and maintenance, item calibration and model fit, and testlet-based adaptive testing, as well as the operational aspects of existing large-scale CAT programs.




Handbook of Item Response Theory


Book Description

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the last 20 years. It describes models for different response formats or response processes, the need of deeper parameterization due to a multilevel or hierarchical structure of the response data, and other extensions and insights. In Volume One, all chapters have a common format with each chapter focusing on one family of models or modeling approach. An introductory section in every chapter includes some history of the model and a motivation of its relevance. Subsequent sections present the model more formally, treat the estimation of its parameters, show how to evaluate its fit to empirical data, illustrate the use of the model through an empirical example, and discuss further applications and remaining research issues.




Psychometrics


Book Description

This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant. The contributors are internationally renowned experts in their respective areas. This volume addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research. It features: methods for assessing Biomarkers, analysis of competing risks; clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs; and, structural equations modelling and longitudinal data analysis.