Reliability for the Social Sciences

Reliability for the Social Sciences
Author :
Publisher : SAGE
Total Pages : 189
Release :
ISBN-10 : 9780803943254
ISBN-13 : 0803943253
Rating : 4/5 (54 Downloads)

Book Synopsis Reliability for the Social Sciences by : Ross E. Traub

Download or read book Reliability for the Social Sciences written by Ross E. Traub and published by SAGE. This book was released on 1994-01-24 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.


Reliability for the Social Sciences Related Books

Reliability for the Social Sciences
Language: en
Pages: 189
Authors: Ross E. Traub
Categories: Social Science
Type: BOOK - Published: 1994-01-24 - Publisher: SAGE

DOWNLOAD EBOOK

"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 dif
Social Science Research
Language: en
Pages: 156
Authors: Anol Bhattacherjee
Categories: Science
Type: BOOK - Published: 2012-04-01 - Publisher: CreateSpace

DOWNLOAD EBOOK

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education,
Measurement Theory and Applications for the Social Sciences
Language: en
Pages: 686
Authors: Deborah L. Bandalos
Categories: Social Science
Type: BOOK - Published: 2018-01-31 - Publisher: Guilford Publications

DOWNLOAD EBOOK

Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability
The Evaluation of Research in Social Sciences and Humanities
Language: en
Pages: 417
Authors: Andrea Bonaccorsi
Categories: Social Science
Type: BOOK - Published: 2018-01-04 - Publisher: Springer

DOWNLOAD EBOOK

This book examines very important issues in research evaluation in the Social Sciences and Humanities. It is based on recent experiences carried out in Italy (2
Communication Research Statistics
Language: en
Pages: 604
Authors: John C. Reinard
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2006-04-20 - Publisher: SAGE Publications

DOWNLOAD EBOOK

"While most books on statistics seem to be written as though targeting other statistics professors, John Reinard′s Communication Research Statistics is especi