Statistics for Social and Behavioral Sciences Ser.: Basics of Item Response Theory Using R by Frank B. Baker and Seock-Ho Kim (2017, Hardcover)

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About this product

Product Identifiers

PublisherSpringer International Publishing A&G
ISBN-103319542044
ISBN-139783319542041
eBay Product ID (ePID)237581119

Product Key Features

Number of PagesXiv, 174 Pages
Publication NameBasics of Item Response Theory Using R
LanguageEnglish
SubjectProgramming Languages / General, Assessment, Testing & Measurement, Statistics, Testing & Measurement
Publication Year2017
TypeTextbook
AuthorFrank B. Baker, Seock-Ho Kim
Subject AreaComputers, Social Science, Education, Psychology
SeriesStatistics for Social and Behavioral Sciences Ser.
FormatHardcover

Dimensions

Item Weight144.1 Oz
Item Length9.3 in
Item Width6.1 in

Additional Product Features

TitleLeadingThe
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal150.287
Table Of ContentIntroduction.- Getting Started.- 1. The Item Characteristic Curve.- 2. Item Characteristic Curve Models.- 3. Estimating Item Parameters.- 4. The Test Characteristic Curve.- 5. Estimating an Examinee's Ability.- 6. The Information Function.- 7. Test Calibration.- 8. Specifying the Characteristics of a Test.- Appendix A: R Introduction.- Appendix B: Estimating Item Parameters under the Two-Parameter Model with Logistic Regression.- Appendix C: Putting the Three Tests on a Common Ability Scale: Test Equating.- References.- Index.
SynopsisThis graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiarwith statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any level and who need an understanding of item response theory in order to evaluate its potential in their settings., This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiar with statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any level and who need an understanding of item response theory in order to evaluate its potential in their settings.
LC Classification NumberHA1-4737

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