Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Inter-Rater Reliability Using SAS PDF full book. Access full book title Inter-Rater Reliability Using SAS by Kilem Li Gwet. Download full books in PDF and EPUB format.
Author: Kilem Li Gwet Publisher: Advanced Analytics Press ISBN: 9780970806260 Category : Social Science Languages : en Pages : 148
Book Description
The primary objective of this book is to show practitioners simple step-by-step approaches for organizing rating data, creating SAS datasets, and using appropriate SAS procedures, or special SAS macro programs to compute various inter-rater reliability coefficients. The author always starts with a brief and non-mathematical description of the agreement coefficients used in this book, before showing how they are calculated with SAS. The non-mathematical description of these coefficients is done using simple numeric examples to show their functionality. The author offers practical SAS solutions for 2 raters as well as for 3 raters and more. The FREQ procedure of SAS offers the calculation of Cohen's Kappa as an option, when the number of raters is limited to 2. The introduction of this feature is without doubt a very welcome addition to the system. But in addition to offering only Kappa as the only agreement coefficient, the use of FREQ to compute Kappa is full of pitfalls that could easily lead a careless practitioner to wrong results. For example, if one rater does not use one category that another rater has used, SAS does not compute any Kappa at all. This problem is referred to in chapter 1 as the unbalanced-table issue. Even more seriously, if both raters use the same number of different categories, SAS will produce "very wrong" results, because the FREQ procedure will be matching wrong categories to determine agreement. This issue is referred to in chapter 1 as the "Diagonal Issue." There are actually a few other potentially serious problems with weighted Kappa that the author has identified. They are all clearly documented in this book, and a plan for resolving each of them is proposed.
Author: Kilem Li Gwet Publisher: Advanced Analytics Press ISBN: 9780970806260 Category : Social Science Languages : en Pages : 148
Book Description
The primary objective of this book is to show practitioners simple step-by-step approaches for organizing rating data, creating SAS datasets, and using appropriate SAS procedures, or special SAS macro programs to compute various inter-rater reliability coefficients. The author always starts with a brief and non-mathematical description of the agreement coefficients used in this book, before showing how they are calculated with SAS. The non-mathematical description of these coefficients is done using simple numeric examples to show their functionality. The author offers practical SAS solutions for 2 raters as well as for 3 raters and more. The FREQ procedure of SAS offers the calculation of Cohen's Kappa as an option, when the number of raters is limited to 2. The introduction of this feature is without doubt a very welcome addition to the system. But in addition to offering only Kappa as the only agreement coefficient, the use of FREQ to compute Kappa is full of pitfalls that could easily lead a careless practitioner to wrong results. For example, if one rater does not use one category that another rater has used, SAS does not compute any Kappa at all. This problem is referred to in chapter 1 as the unbalanced-table issue. Even more seriously, if both raters use the same number of different categories, SAS will produce "very wrong" results, because the FREQ procedure will be matching wrong categories to determine agreement. This issue is referred to in chapter 1 as the "Diagonal Issue." There are actually a few other potentially serious problems with weighted Kappa that the author has identified. They are all clearly documented in this book, and a plan for resolving each of them is proposed.
Author: Alex Dmitrienko Publisher: SAS Institute ISBN: 1599943573 Category : Computers Languages : en Pages : 464
Book Description
Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.
Author: Kilem L. Gwet Publisher: Advanced Analytics, LLC ISBN: 0970806280 Category : Medical Languages : en Pages : 429
Book Description
The third edition of this book was very well received by researchers working in many different fields of research. The use of that text also gave these researchers the opportunity to raise questions, and express additional needs for materials on techniques poorly covered in the literature. For example, when designing an inter-rater reliability study, many researchers wanted to know how to determine the optimal number of raters and the optimal number of subjects that should participate in the experiment. Also, very little space in the literature has been devoted to the notion of intra-rater reliability, particularly for quantitative measurements. The fourth edition of this text addresses those needs, in addition to further refining the presentation of the material already covered in the third edition. Features of the Fourth Edition include: New material on sample size calculations for chance-corrected agreement coefficients, as well as for intraclass correlation coefficients. The researcher will be able to determine the optimal number raters, subjects, and trials per subject.The chapter entitled “Benchmarking Inter-Rater Reliability Coefficients” has been entirely rewritten.The introductory chapter has been substantially expanded to explore possible definitions of the notion of inter-rater reliability.All chapters have been revised to a large extent to improve their readability.
Author: Holmes Finch Publisher: IAP ISBN: 1623966965 Category : Education Languages : en Pages : 279
Book Description
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.
Author: Bryan E. Denham Publisher: John Wiley & Sons ISBN: 1118927079 Category : Social Science Languages : en Pages : 301
Book Description
Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for statistical procedures with data analyses illustrating techniques such as log- linear modeling and logistic regression analysis. Provides techniques for analyzing categorical data from a communication studies perspective Provides an accessible presentation of techniques for analyzing categorical data for communication scholars and other social scientists working at the advanced undergraduate and graduate teaching levels Illustrated with examples from different types of communication research such as health, political and sports communication and entertainment Includes exercises at the end of each chapter and a companion website containing exercise answers and chapter-by-chapter PowerPoint slides
Author: Qian Cao Publisher: ISBN: Category : Languages : en Pages :
Book Description
The study of interrater agreement and itnerrater reliability attract extensive attention, due to the fact that the judgments from multiple raters are subjective and may vary individually. To evaluate interrater agreement and interrater reliability, five different methods or indices are proposed: percentage of agreement, kappa coefficient, the correlation coefficient, intraclass correlation coefficient (ICC), and generalizability (G) theory. In this study, we introduce and discuss the advantages and disadvantages of these methods to evaluate interrater agreement and reliability. Then we review and explore the rank across these five indices by use of frequency in practice in the past five years. Finally, we illustrate how to use these five methods under different circumstances and provide SPSS and SAS code to analyze interrater agreement and reliability. We apply the methods above to analyze the data from Parent-Child Interaction System of global ratings (PARCHISY), and conclude as follows: (1) ICC is the most often used method to evaluate interrater reliability in recent five years, while generalizability theory is the least often used method. The G coefficients provide similar interrater reliability with weighted kappa and ICC on most items, based on the criteria. (2) When the reliability is high itself, different methods provide consistent indication on interrater reliability based on different criteria. If the reliability is not consistent among different methods, both ICC and G coefficient will provide better interrater reliability based on the criteria, and they also provide consistent results. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/149310
Author: Joseph L. Fleiss Publisher: Wiley-Interscience ISBN: Category : Mathematics Languages : en Pages : 360
Book Description
An introduction to applied probability; Assessing significance in a fourfold table; Determining sample sizes needed to detect a difference between two proportions; How to randomize; Sampling method; The analysis of data from matched samples; The comparison of proportions from several independent samples; Combining evidence from fourfold tables; The effects of misclassification errors; The control of misclassification error; The measurement of interrater agreement; The standardization of rates.
Author: Mohamed M. Shoukri Publisher: CRC Press ISBN: 0203502590 Category : Mathematics Languages : en Pages : 170
Book Description
Agreement among at least two evaluators is an issue of prime importance to statisticians, clinicians, epidemiologists, psychologists, and many other scientists. Measuring interobserver agreement is a method used to evaluate inconsistencies in findings from different evaluators who collect the same or similar information. Highlighting applications o
Author: Jordan Bakerman Publisher: ISBN: 9781642957150 Category : Computers Languages : en Pages : 258
Book Description
SAS Programming for R Users, based on the free SAS Education course of the same name, is designed for experienced R users who want to transfer their programming skills to SAS. Emphasis is on programming and not statistical theory or interpretation. You will learn how to write programs in SAS that replicate familiar functions and capabilities in R. This book covers a wide range of topics including the basics of the SAS programming language, how to import data, how to create new variables, random number generation, linear modeling, Interactive Matrix Language (IML), and many other SAS procedures. This book also explains how to write R code directly in the SAS code editor for seamless integration between the two tools. Exercises are provided at the end of each chapter so that you can test your knowledge and practice your programming skills.
Author: Kilem Li Gwet
Author: Kilem Li Gwet
Author: Kilem GWET
Author: Alex Dmitrienko
Author: Kilem L. Gwet
Author: Holmes Finch
Author: Bryan E. Denham
Author: Qian Cao
Author: Joseph L. Fleiss
Author: Mohamed M. Shoukri
Author: Jordan Bakerman