Applied psychometrics : using SAS

The book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SAS to read data and conduct basi...

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Bibliographic Details
Main Author Finch, W. Holmes (Author)
Other Authors French, Brian F. (Editor), Immekus, Jason C. (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K : Emerald Publishing Limited : Information Age Publishing, [2014]
Subjects
Online AccessFull text
ISBN9781806612291
DOI10.1108/978-1-62396-696-6
Physical Description1 online resource (xi, 266 pages) : illustrations

Cover

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100 1 |a Finch, W. Holmes  |q (William Holmes),  |e author. 
245 1 0 |a Applied psychometrics :  |b using SAS /  |c authored by W. Holmes Finch (Ball State University), Brian F. French. (Washington State University), Jason C. Immekus (University of Louisville). 
264 1 |a Bingley, U.K :  |b Emerald Publishing Limited :  |b Information Age Publishing,  |c [2014] 
264 4 |c ©2014 
300 |a 1 online resource (xi, 266 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 261-266). 
505 0 |a Preface -- Chapter 1. Introduction to psychometric concepts -- Chapter 2. Item analysis -- Chapter 3. Reliability -- Chapter 4. Generalizability theory -- Chapter 5. Validity -- Chapter 6. Issues in scoring -- Chapter 7. Item response theory -- Chapter 8. Differential item functioning -- Chapter 9. Equating -- References. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a The book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SAS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. We will not assume any more than basic familiarity with these issues, and will devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them.We envision the book as being useful either as a primary text for a course on applied measurement where SAS is the main platform for instruction, or as a supplement to a more theoretical text. We also anticipate that readers working in government agencies responsible for testing and measurement issues at the local, state and national levels, and private testing, survey and market research companies, as well as faculty members needing a practical resource for psychometric practice will serve as a market for the book. In short, the readership would include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments.The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. Readers will then be presented with examples illustrating a particular concept (e.g., reliability). These examples will include a discussion of the particular analysis, along with the SAS code necessary to conduct them. The resulting output will then be discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up will also be included in the text. It is hoped that this mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work. 
588 0 |a Print version record. 
650 0 |a Educational tests and measurements  |x Methodology. 
650 0 |a Educational tests and measurements  |x Mathematical models. 
650 0 |a Psychometrics. 
650 0 |a Educational psychology. 
650 7 |a Education  |x Educational Psychology.  |2 bisacsh 
650 7 |a Educational psychology.  |2 thema 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a French, Brian F.,  |e editor. 
700 1 |a Immekus, Jason C.,  |e editor. 
776 0 8 |i Print version:  |z 9781623966959, 9781623966942 
776 0 8 |i PDF version:  |z 9781623966966 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/978-1-62396-696-6