{"title":"Measurement Methods For The Social Science","description":"","products":[{"product_id":"fundamentals-of-item-response-theory-book-ronald-k-hambleton-9780803936478","title":"Fundamentals of Item Response Theory","description":"Using familiar concepts from classical measurement methods and basic statistics, Hambleton and colleagues introduce the basics of item response theory (IRT) and explain the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating, and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters, such as maximum likelihood estimation, marginal maximum likelihood estimation, and Bayesian estimation in such a way that the reader does not need any knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":49797161156881,"sku":"CIN0803936478G","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50174987534609,"sku":"CIN0803936478VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":50475136909585,"sku":"GOR003587466","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51007443730705,"sku":"NIN9780803936478","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52402875466001,"sku":"NLS9780803936478","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0803936478.jpg?v=1751362436"},{"product_id":"introduction-to-nonparametric-item-response-theory-book-klaas-sijtsma-9780761908135","title":"Introduction to Nonparametric Item Response Theory","description":"\"This manuscript addresses an important and complex topic in test development in a manner that is precise and accurate, yet very accessible to students and practitioners with a modest background in classical test theory and item response theory. It also provides an excellent introduction to nonparametric IRT models for the more mathematically sophisticated student or faculty member who will welcome the extensive additional reading lists that are found at the conclusion of each chapter.\"    —LINDA F. WIGHTMAN, School of Education, University of N. Carolina, Greensboro          \"I thoroughly enjoyed this book, and liked the clear way the authors have worked through the chapters and examples. There are rich examples with plenty of exercises that encouraged me to try these methods with my own data. The quality of the interpretation is rich, particularly in the polytomous item domain. It is well worth having on the shelf as a reference tool and as available for graduate students who wish to know more.\"    \t—JOHN HATTIE, Head of the School of Education, University of Auckland, NZ    This book introduces social and behavioral science students and researchers to the theory and practice of the highly powerful methods of nonparametric item response theory (IRT). Anyone who uses or constructs tests or questionnaires for measuring abilities, achievements, personality traits, attitudes, or opinions will find nonparametric IRT useful for designing and improving such measurements. The authors show how the broadness of the nonparametric item response models allows them to fit many data sets and remain powerful enough for implying useful measurement properties, such as the ordering of persons using the simple total score (number-correct for dichotomous item tests and sum of rating scale score for polytomous item tests) and the ordering of the items using the item means. Many data analysis examples are given in the book, and a user-friendly computer program used throughout the book supports data analysis using nonparametric IRT. Given the importance of school admissions, certification, personnel selection, marketing, social policy evaluation, quality-of-life measurements, and assessments of deviant behavior, this book is a must read for students or researchers engaged in this work.","brand":"WoB","offers":[{"title":"US \/ WELL_READ \/ SBYB","offer_id":50360013193489,"sku":"CIN0761908137A","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ GARDNERS","offer_id":50697211674897,"sku":"NGR9780761908135","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52482112651537,"sku":"NLS9780761908135","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53363713147153,"sku":"NIN9780761908135","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0761908137.jpg?v=1750848879"},{"product_id":"reliability-for-the-social-sciences-book-ross-e-traub-9780803943254","title":"Reliability for the Social Sciences","description":"The book covers thoroughly all that is needed for a full understanding of reliability in terms of classical theory. Ross E. Traub manages to make clear the difference between reliability as a theoretical construct and methods of estimating it in practice. In a useful chapter, he proceeds to examine factors that may affect the reliability of a test, including time limits, test length, item characteristics, subjectively scored items, and heterogeneity of the population taking the test. . . . The book is a useful reference for those with some understanding of reliability theory and would probably make a reasonable textbook (including copious exercises) for those studying the subject from scratch, provided their mathematical background was adequate.  --Ian Schagen in Educational Research  How can social scientists assess the reliability of the measures derived from tests and questionnaires? Through a careful and illustrative review of the principles of classical reliability theory, Ross E. Traub explores some general strategies for improving measurement procedures. Beginning with a presentation of random variables and the expected values of a random variable, Reliability for the Social Sciences covers such topics as the definition of reliability as a coefficient and possible uses of a coefficient, the notion of parallel tests so as to make possible the estimation of a reliability coefficient for a set of measurements, what to do when parallel tests are not available, what factors affect the reliability coefficient, and how to estimate the standard error of measurement. Aimed at giving readers a nontechnical treatment of classical reliability theory, the book also includes end-of-chapter exercises, as well as boxes that give more in-depth coverage of major topics or that provide algebraic proofs.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50361010356497,"sku":"CIN0803943253G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52125473636625,"sku":"NLS9780803943254","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0803943253.jpg?v=1751296076"},{"product_id":"methods-for-identifying-biased-test-items-book-gregory-camilli-9780803944169","title":"Methods for Identifying Biased Test Items","description":"This book is highly recommended for all involved in test  development  or who have any interest in the use of tests in education or in  other  fields. The necessary mathematics are presented clearly but  never  obscure the important messages in the book. It will certainly be  referred to constantly in my future work in this area.  --Educational Research  \"The fundamental goal of the Measurement Methods for the Social  Sciences series is to make complex measurement concepts, topics,  and  methods available to readers with limited mathematical  background but  a strong desire to understand, as well as use, methods that are  on  the forefront of social science assessment.  With this book on  item  bias detection methods, Gregory Camilli and Lorrie Shepard have  achieved this goal admirably.\"  --from the Foreword by Richard M. Jaeger  What can item bias methods do--and not do--when applied to real  test  data? Aimed at helping researchers understand how item bias  methods  work, this book provides practical advice and specific details  on the  most useful methods for particular testing situations. Beginning  with  a review of early bias methods and the fairness issues  associated  with the topic of test bias, the authors explain the logic of  each  method in terms of how differential item functioning (DIF) is  defined  by the method--and how well the method can be expected to work  in  various situations. In addition, chapters include a summary of  findings regarding the behavior of the various indexes in  empirical  studies, especially their reliability, correlation with known  bias  criteria, and correlations with other bias methods. The book  concludes with a set of principles for deciding when DIF should  be  interpreted as evidence of bias.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50361032573201,"sku":"CIN0803944160G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52401053008145,"sku":"NLS9780803944169","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0803944160.jpg?v=1751394747"},{"product_id":"generalizability-theory-book-richard-j-shavelson-9780803937451","title":"Generalizability Theory","description":"Considers generalizability theory, covering such topics as generalizability studies with nested facets and with fixed facets, measurement error and generalizability co-efficients and decision studies with the same and with different designs.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50718068900113,"sku":"CIN0803937458G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51007582503185,"sku":"NIN9780803937451","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52349517136145,"sku":"NLS9780803937451","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0803937458.jpg?v=1750979671"},{"product_id":"introduction-to-nonparametric-item-response-theory-book-klaas-sijtsma-9780761908128","title":"Introduction to Nonparametric Item Response Theory","description":"\"This manuscript addresses an important and complex topic in test development in a manner that is precise and accurate, yet very accessible to students and practitioners with a modest background in classical test theory and item response theory. It also provides an excellent introduction to nonparametric IRT models for the more mathematically sophisticated student or faculty member who will welcome the extensive additional reading lists that are found at the conclusion of each chapter.\"    —LINDA F. WIGHTMAN, School of Education, University of N. Carolina, Greensboro          \"I thoroughly enjoyed this book, and liked the clear way the authors have worked through the chapters and examples. There are rich examples with plenty of exercises that encouraged me to try these methods with my own data. The quality of the interpretation is rich, particularly in the polytomous item domain. It is well worth having on the shelf as a reference tool and as available for graduate students who wish to know more.\"    \t—JOHN HATTIE, Head of the School of Education, University of Auckland, NZ    This book introduces social and behavioral science students and researchers to the theory and practice of the highly powerful methods of nonparametric item response theory (IRT). Anyone who uses or constructs tests or questionnaires for measuring abilities, achievements, personality traits, attitudes, or opinions will find nonparametric IRT useful for designing and improving such measurements. The authors show how the broadness of the nonparametric item response models allows them to fit many data sets and remain powerful enough for implying useful measurement properties, such as the ordering of persons using the simple total score (number-correct for dichotomous item tests and sum of rating scale score for polytomous item tests) and the ordering of the items using the item means. Many data analysis examples are given in the book, and a user-friendly computer program used throughout the book supports data analysis using nonparametric IRT. Given the importance of school admissions, certification, personnel selection, marketing, social policy evaluation, quality-of-life measurements, and assessments of deviant behavior, this book is a must read for students or researchers engaged in this work.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52196198023441,"sku":"NLS9780761908128","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780761908128.jpg?v=1757716343"}],"url":"https:\/\/www.worldofbooks.com\/collections\/measurement-methods-for-the-social-science-book-series.oembed","provider":"World of Books ","version":"1.0","type":"link"}