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E-grāmata: Analyzing Rater Agreement: Manifest Variable Methods [Taylor & Francis e-book]

  • Formāts: 202 pages
  • Izdošanas datums: 15-Jul-2004
  • Izdevniecība: Psychology Press
  • ISBN-13: 9781410611024
Citas grāmatas par šo tēmu:
  • Taylor & Francis e-book
  • Cena: 155,64 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standarta cena: 222,34 €
  • Ietaupiet 30%
  • Formāts: 202 pages
  • Izdošanas datums: 15-Jul-2004
  • Izdevniecība: Psychology Press
  • ISBN-13: 9781410611024
Citas grāmatas par šo tēmu:
A textbook for students and researchers in psychology, biostatistics, medical research, and other fields, describing four approaches to the statistical analysis of agreement between people who rate almost anything from sports performance to restaurants. Readers are encouraged to be familiar with X2 methods of statics, the matrix approach to regression analysis, and log-linear modeling. The disk contains additional exercises and solutions. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

Agreement among raters is of great importance in many domains. For example, in medicine, diagnoses are often provided by more than one doctor to make sure the proposed treatment is optimal. In criminal trials, sentencing depends, among other things, on the complete agreement among the jurors. In observational studies, researchers increase reliability by examining discrepant ratings. This book is intended to help researchers statistically examine rater agreement by reviewing four different approaches to the technique. The first approach introduces readers to calculating coefficients that allow one to summarize agreements in a single score. The second approach involves estimating log-linear models that allow one to test specific hypotheses about the structure of a cross-classification of two or more raters' judgments. The third approach explores cross-classifications or raters' agreement for indicators of agreement or disagreement, and for indicators of such characteristics as trends. The fourth approach compares the correlation or covariation structures of variables that raters use to describe objects, behaviors, or individuals. These structures can be compared for two or more raters. All of these methods operate at the level of observed variables. This book is intended as a reference for researchers and practitioners who describe and evaluate objects and behavior in a number of fields, including the social and behavioral sciences, statistics, medicine, business, and education. It also serves as a useful text for graduate-level methods or assessment classes found in departments of psychology, education, epidemiology, biostatistics, public health, communication, advertising and marketing, and sociology. Exposure to regression analysis and log-linear modeling is helpful.

This book provides a succinct yet comprehensive coverage of the most frequently used methods of analysis of rater agreement. A reference for researchers and practitioners who describe and evaluate objects and behavior in a number of fields.
Preface ix
Coefficients of Rater Agreement
1(30)
Cohen's κ
1(9)
κ as a Summary Statement for the Entire Agreement Table
2(6)
Conditional κ
8(2)
Weighted κ
10(3)
Raw Agreement, Brennan and Prediger's κn, and a Comparison with Cohen's κ
13(4)
The Power of κ
17(2)
Kendall's W for Ordinal Data
19(3)
Measuring Agreement among Three or More Raters
22(3)
Many Raters or Many Comparison Objects
25(2)
Exercises
27(4)
Log-Linear Models of Rater Agreement
31(48)
A Log-Linear Base Model
32(2)
A Family of Log-Linear Models for Rater Agreement
34(1)
Specific Log-Linear Models for Rater Agreement
35(28)
The Equal-Weight Agreement Model
35(5)
The Weight-by-Response-Category Agreement Model
40(1)
Models with Covariates
41(1)
Models for Rater Agreement with Categorical Covariates
42(6)
Models for Rater Agreement with Continuous Covariates
48(6)
Rater Agreement plus Linear-by-Linear Association for Ordinal Variables
54(5)
Differential Weight Agreement Model with Linear-by-Linear Interaction plus Covariates
59(4)
Extensions
63(12)
Modeling Agreement among More than Two Raters
63(1)
Estimation of Rater-Pair-Specific Parameters
64(3)
Agreement among Three Raters
67(1)
Rater-Specific Trends
68(2)
Generalized Coefficients κ
70(5)
Exercises
75(4)
Exploring Rater Agreement
79(36)
Configural Frequency Analysis: A Tutorial
80(5)
CFA Base Models for Rater Agreement Data
85(12)
CFA of Rater Agreement Data Using the Main Effect Base Model
85(2)
Zero Order CFA of Agreement Tables
87(4)
CFA of Rater Agreement Data under Consideration of Linear-by-Linear Association for Ordinal Variables
91(2)
Using Categorical Covariates in CFA
93(4)
Fusing Explanatory and Exploratory Research: Groups of Types
97(3)
Exploring the Agreement among Three Raters
100(3)
What Else Is Going on in the Table: Blanking out Agreement Cells
103(9)
CFA of Disagreement Cells
104(7)
Testing Hypotheses about Disagreement
111(1)
Exercises
112(3)
Correlation Structures
115(16)
Intraclass Correlation Coefficients
116(7)
Comparing Correlation Matrices Using LISREL
123(6)
Exercises
129(2)
Computer Applications
131(42)
Using SPSS to Calculate Cohen's κ
132(2)
Using SYSTAT to Calculate Cohen's κ
134(1)
Programs for Weighted κ
135(7)
Using SAS to Calculate Cohen's κ and Weighted κ
135(2)
Other Programs for Weighted κ
137(5)
Using Lem to Model Rater Agreement
142(10)
Specifying the Equal Weight and the Weight-by-Response-Category Agreement Models
142(4)
Models with Covariates
146(1)
Models with Categorical Covariates
147(2)
Models with Continuous Covariates
149(1)
Linear-by-Linear Association Models of Rater Agreement
149(2)
Models of Agreement among More than Two Raters
151(1)
Models of Rater-Specific Trends
151(1)
Using Configural Frequency Analysis to Explore Patterns of Agreement
152(14)
First Order CFA (Main Effects Only)
152(4)
Zero Order CFA
156(2)
First Order CFA with One Continuous Covariate
158(3)
CFA of the Agreement in Two Groups; No Gender-Association Base Model
161(3)
CFA of the Agreement among Three Raters
164(2)
Correlation Structures: LISREL Analyses
166(4)
Calculating the Intraclass Correlation Coefficient
170(3)
Summary and Outlook
173(4)
References 177(8)
Author Index 185(2)
Subject Index 187


Alexander von Eye (Author) ,  Eun Young Mun (Author)