عنوان

Handbook of educational measurement and psychometrics using R :

شابک

1315154269

شابک

1351640771

شابک

1351650300

شابک

1498770142

شابک

9781315154268

شابک

9781351640770

شابک

9781351650304

شابک

9781498770149

شابک اشتباه

1498770134

شابک اشتباه

9781498770132

عنوان اصلي

Handbook of educational measurement and psychometrics using R :

نام عام مواد

[Book]

نام نخستين پديدآور

Christopher D. Desjardins, Okan Bulut.

محل نشرو پخش و غیره

Boca Raton, Florida :

نام ناشر، پخش کننده و غيره

CRC Press,

تاریخ نشرو بخش و غیره

[2018]

نام خاص و کميت اثر

1 online resource.

عنوان فروست

Chapman & Hall/CRC the R series (CRC Press)

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Machine generated contents note: 1. Introduction to the R Programming Language -- 1.1. Chapter Overview -- 1.2. What Is R? -- 1.2.1. Our Approach to R -- 1.3. Obtaining and Installing R -- 1.3.1. Windows -- 1.3.2. Mac 1 -- 1.3.3. Linux -- 1.4. Obtaining and Installing RStudio -- 1.5. Using R -- 1.5.1. Basic R Usage -- 1.5.2.R Packages -- 1.5.2.1. Masked Functions -- 1.5.3. Assessing and Reading in Data -- 1.5.4. Data Manipulation -- 1.5.5. Descriptive and Inferential Statistics -- 1.5.6. Plotting in R -- 1.5.6.1. Base R Graphics -- 1.5.6.2. Lattice Graphics -- 1.6. Installing Packages Used in This Handbook -- 1.7. Chapter Summary -- 2. Classical Test Theory -- 2.1. Chapter Overview -- 2.2. What Is Measurement? -- 2.3. Issues in Measurement -- 2.3.1. Type of Scales -- 2.4. The Classical Test Theory Framework -- 2.4.1. Reliability -- 2.4.2. Validity -- 2.4.3. Item Analysis -- 2.5. Summary -- 3. Generalizability Theory -- 3.1. Chapter Overview -- 3.2. Introduction -- 3.3. Examples -- 3.3.1. One-Facet Design

متن يادداشت

Note continued: 10.1. Overview -- 10.2. Introduction -- 10.2.1. Equating Designs -- 10.2.2. Equating Functions and Methods -- 10.2.3. Evaluating the Results -- 10.2.4. Further Reading -- 10.3. Examples -- 10.3.1. Equivalent Groups -- 10.3.1.1. Identity, Mean, and Linear Functions -- 10.3.1.2. Nonlinear Functions -- 10.3.2. Nonequivalent Groups -- 10.3.2.1. Linear Tucker Equating -- 10.4. Summary -- 11. Measurement Invariance and Differential Item Functioning -- 11.1. Chapter Overview -- 11.2. Measurement Invariance -- 11.2.1. Assessing Measurement Invariance -- 11.2.1.1. Configural Invariance -- 11.2.1.2. Weak Invariance -- 11.2.1.3. Strong Invariance -- 11.2.1.4. Strict Invariance -- 11.2.1.5. Assessing Partial Invariance -- 11.3. Differential Item Functioning -- 11.3.1. The Mantel-Haenszel (MH) Method -- 11.3.2. Logistic Regression -- 11.3.3. Item Response Theory Likelihood Ratio Test -- 11.4. Summary -- 12. More Advanced Topics in Measurement -- 12.1. Chapter Overview -- 12.2. CRAN Task Views

متن يادداشت

Note continued: 12.3.Computerized Adaptive Testing -- 12.4. Cognitive Diagnostic Modeling -- 12.5. IRT Linking Procedures -- 12.6. Bayesian Models of Measurement -- 12.7. Hierarchical Linear Models -- 12.8. Profile Analysis -- 12.9. Summary.

متن يادداشت

Note continued: 3.3.1.1.G Study -- 3.3.1.2.D Study -- 3.3.2. Two-Facet Crossed Design -- 3.3.2.1.G Study -- 3.3.2.2.D Study -- 3.3.3. Two-Facet Partially Nested Design -- 3.3.3.1.G Study -- 3.3.3.2.D Study -- 3.3.4. Two-Facet Crossed Design with a Fixed Facet -- 3.3.4.1.G Study -- 3.3.4.2.D Study -- 3.4. Summary -- 4. Factor Analytic Approach in Measurement -- 4.1. Chapter Overview -- 4.2. Introduction -- 4.3. Exploratory Factor Analysis (EFA) -- 4.3.1. EFA of a Cognitive Inventory -- 4.3.2. EFA Using the psych Package -- 4.3.3. EFA with Categorical Data -- 4.4. Confirmatory Factor Analysis (CFA) -- 4.4.1. CFA of the WISC-R Data -- 4.4.2. CFA with Categorical Data -- 4.4.2.1. Ordinal CFA -- Method 1 -- 4.4.2.2. Ordinal CFA -- Method 2 -- 4.5. Summary -- 5. Item Response Theory for Dichotomous Items -- 5.1. Chapter Overview -- 5.2. Introduction -- 5.2.1.Comparison to Classical Test Theory -- 5.2.2. Basic Concepts in IRT -- 5.2.3. IRT Model Assumptions

متن يادداشت

Note continued: 5.3. The Unidimensional IRT Models for Dichotomous Items -- 5.3.1. One-Parameter Logistic Model and Rasch Model -- 5.3.1.1. One-Parameter Logistic Model -- 5.3.1.2. Rasch Model -- 5.3.2. Two-Parameter Logistic Model -- 5.3.3. Three-Parameter Logistic Model -- 5.3.4. Four-Parameter Logistic Model -- 5.4. Ability Estimation in IRT Models -- 5.5. Model Diagnostics -- 5.5.1. Item Fit -- 5.5.2. Person Fit -- 5.5.3. Model Selection -- 5.6. Summary -- 6. Item Response Theory for Polytomous Items -- 6.1. Chapter Overview -- 6.2. Polytomous Rasch Models for Ordinal Items -- 6.2.1. Partial Credit Model -- 6.2.2. Rating Scale Model -- 6.3. Polytomous Non-Rasch Models for Ordinal Items -- 6.3.1. Generalized Partial Credit Model -- 6.3.2. Graded Response Model -- 6.4. Polytomous IRT Models for Nominal Items -- 6.4.1. Nominal Response Model -- 6.4.2. Nested Logit Model -- 6.5. Model Selection -- 6.6. Summary -- 7. Multidimensional Item Response Theory -- 7.1. Chapter Overview

متن يادداشت

Note continued: 7.2. Multidimensional Item Response Modeling -- 7.2.1.Compensatory and Noncompensatory MIRT -- 7.2.2. Between-Item and Within-Item Multidimensionality -- 7.2.3. Exploratory and Confirmatory MIRT Analysis -- 7.3.Common MIRT Models -- 7.3.1. Multidimensional 2PL Model -- 7.3.2. Multidimensional Rasch Model -- 7.3.3. Multidimensional Graded Response Model -- 7.3.4. Bi-Factor IRT Model -- 7.4. Summary -- 8. Explanatory Item Response Theory -- 8.1. Chapter Overview -- 8.2. Explanatory Item Response Modeling -- 8.2.1. Data Structure -- 8.2.2. Rasch Model as a GLMM -- 8.2.3. Linear Logistic Test Model -- 8.2.4. Latent Regression Rasch Model -- 8.2.5. Interaction Models -- 8.3. Summary -- 9. Visualizing Data and Measurement Models -- 9.1. Chapter Overview -- 9.2. Introduction -- 9.3. Diagnostic Plots -- 9.4. Path Diagrams -- 9.5. Interactive Plots with shiny -- 9.5.1. Example 1: Diagnostic Plot for Factor Analysis -- 9.5.2. Example 2: The 3PL IRT Model -- 9.6. Summary -- 10. Equating

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متن يادداشت

"This book provides a broad overview of methods in educational and psychological measurement focusing on applications using R. It includes the key introductory topics and extends to recent research developments, such as multidimensional item response theory models. The focus is on the practical implementation of the methods, with lots of real data examples and R code integrated throughout. The book will be supplemented by an R package with all code and data available for replication. The book could be used as a supplementary text for the computing component of a course on measurement in either department" --

منبع سفارش / آدرس اشتراک

Ingram Content Group

شماره انبار

9781351650304

عنوان

Handbook of educational measurement and psychometrics using R

شماره استاندارد بين المللي کتاب و موسيقي

9781498770132 (hardback : alk. paper)

موضوع مستند نشده

Educational tests and measurements, Handbooks, manuals, etc.

موضوع مستند نشده

Psychometrics-- Methodology, Handbooks, manuals, etc.

موضوع مستند نشده

R (Computer program language), Handbooks, manuals, etc.

موضوع مستند نشده

EDUCATION-- Administration-- General.

موضوع مستند نشده

EDUCATION-- Organizations & Institutions.

موضوع مستند نشده

Educational tests and measurements.

موضوع مستند نشده

R (Computer program language)

موضوع مستند نشده

EDU-- 001000

موضوع مستند نشده

EDU-- 036000

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Desjardins, Christopher David

مستند نام اشخاص تاييد نشده

Bulut, Okan

تاريخ عمليات

20200822171134.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y