Analysis of Ordinal Data

While for some purposes , an extensive form analysis of two ordinal variables might be preferable to a condensed form ... When the hypothetical data of Table 18 ( a ) are analyzed with the categories of Table 19 ( b ) , the values of ...

DOWNLOAD NOW »

Author: David K. Hildebrand

Publisher: SAGE

ISBN: 0803907958

Category: Electronic books

Page: 79

View: 870

Ordinal data can be rank ordered but not assumed to have equal distances between categories. Using support by judges for civil rights measures and bussing as the primary example, this paper indicates how such data can best be analyzed.

Analysis of Ordinal Categorical Data

The models and measures of association for ordinal data presented in this book bear many resemblances to those for continuous variables. A major theme of this book is how to analyze ordinal data by utilizing their quantitative nature.

DOWNLOAD NOW »

Author: Alan Agresti

Publisher: John Wiley & Sons

ISBN: 9780470082898

Category: Mathematics

Page: 424

View: 947

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

Analysis of Ordinal Categorical Data

Additional features of this Second Edition include: A new chapter on marginal models for multivariate ordinal responses, using maximum likelihood and generalized estimating equations for model fitting A new chapter on random effects models ...

DOWNLOAD NOW »

Author: Alan Agresti

Publisher: John Wiley & Sons

ISBN: 9781118209998

Category: Mathematics

Page: 424

View: 128

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

Show Me the Proof

We could classify objects in terms of colors or shapes rather than numbers , but our capacity to analyze numbers is ... Ordinal Data Data that is ordinal offers greater opportunity for analysis because it not only classifies subjects ...

DOWNLOAD NOW »

Author: Stephen H. White

Publisher: Lead + Learn Press

ISBN: 0970945590

Category: Education

Page: 181

View: 818

This book is the outcry from parents and citizens everywhere. Educators must be able to provide evidence of improvement, but how? Each person in the educational system must be a part of the assessment team superintendents, principals, teachers, and parents."

Ordinal Methods for Behavioral Data Analysis

SCARCITY OF MULTIVARIATE METHODS Ordinal methods are used for analyzing data in onlya few instances, ... One approachto more sophisticated analyses of ordinal data, dating from theearly 1960s, has beentoassume aparticular model fits the ...

DOWNLOAD NOW »

Author: Norman Cliff

Publisher: Psychology Press

ISBN: 9781317781424

Category: Psychology

Page: 212

View: 793

This book was written with the belief that ordinal statistical methods--sometimes discussed under the title of "nonparametric statistics"--deserve much more serious attention as research tools than they have traditionally had. There are three classes of reasons for this: *Many behavioral variables constitute only ordinal scales, not interval measurements that are required for traditional statistics. *Various research issues that are of primary interest in behavioral research are themselves questions about order: Which group scores higher? Is the order on this variable similar to the order on that? *Inferences from ordinal statistics are less subject to distributional peculiarities of the data than are those from traditional statistics. Taking an innovative approach, this book treats ordinal methods in an integrated way rather than as a compendium of unrelated methods, and emphasizes that the ordinal quantities are highly meaningful in their own right, not just as stand-ins for more traditional correlations or analyses of variance. In fact, since the ordinal statistics have desirable descriptive properties of their own, the book treats them parametrically, rather then nonparametrically. The author discusses how ordinal statistics can be applied in a much wider set of research situations than has usually been thought, and that they can often come closer to answering the researcher's primary questions than traditional ones can. And he includes some extensions of ordinal methods in order to accomplish that end.

Analysis of Change

This method to analyze means and covariance structures with ordinal data is clearly ad hoc . An alternative may be to change from PRELIS and LISREL to a competing software such as LISCOMP ( Muthén , 1988 ) or MECOSA ( Schepers and ...

DOWNLOAD NOW »

Author: Uwe Engel

Publisher: Walter de Gruyter

ISBN: 3110149362

Category: Social Science

Page: 296

View: 742

By making both causal and process analyses possible, panel data has enjoyed increasing popularity in empirical science. In this compilation, several statistical techniques are presented in the face of a growing need to analyze panel data. Measurement error, missing data, heterogeneous populations and particular requirements for causal interference make the analysis of change more difficult. Readers will find up-to-date approaches covering a wide range of topics. Among these are loglinear and probit models, state space models, and structural equation and multilevel growth curve models of panel data.

Multivariate and Probabilistic Analyses of Sensory Science Problems

Ordinal data like this are quite often rerepresented by integer numbers (such as 1, 2, . . . , 9) and then analyzed as if they were continuous interval level data using analysis of variance. This implies that intervals between two ...

DOWNLOAD NOW »

Author: Jean-François Meullenet

Publisher: John Wiley & Sons

ISBN: 9780813801780

Category: Technology & Engineering

Page: 256

View: 991

Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for non-statisticians, the text is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses of Sensory Science Problems offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results. Coverage includes a refresher on basic multivariate statistical concepts; use of common data sets throughout the text; summary tables presenting the pros and cons of specific methods and the conclusions that may be drawn from using various methods; and sample program codes to perform the analyses and sample outputs. As the latest member of the IFT Press series, Multivariate and Probabilistic Analyses of Sensory Science Problems will be welcomed by sensory scientists in the food industry and other industries using similar testing methodologies, as well as by faculty teaching advanced sensory courses, and professionals conducting and participating in workshops addressing multivariate analysis of sensory and consumer data.

The Practice of Nursing Research E Book

The primary focus of the controversy relates to the practice of classifying data into the categories ordinal and interval. This controversy developed because, according to the fundamentalists, many of the current statistical analysis ...

DOWNLOAD NOW »

Author: Jennifer R. Gray

Publisher: Elsevier Health Sciences

ISBN: 9780323293310

Category: Medical

Page: 752

View: 107

Learn how to properly evaluate and use existing research data and how to conduct your own original research. This authoritative text gives provides a comprehensive foundation for appraisal, synthesis, and generation of research evidence for clinical nursing practice. This new edition also features enhanced coverage of the research methods most applicable to evidence-based practice (outcomes research, intervention research, and translational research), along with a significant increase in the coverage of qualitative research methodologies. Comprehensive coverage of nursing research organizes content into five units: Introduction to Nursing Research, Nursing Research Processes, Tools for Evidence-Based Healthcare, Strategies for Analyzing Research and Building an Evidence-Based Practice, and Writing Proposals and Obtaining Funding. Rich and frequent examples from the literature demonstrate the importance and immediacy of research in nursing practice and bring principles to life through the context of actual published studies. Strong coverage of quantitative and other clinically-applicable research methodologies gives you a solid grounding to conduct, appraise, and apply research evidence to the realities of clinical practice in today’s healthcare environment. NEW! Enhanced emphasis on evidence-based practice equips you to generate research evidence and to appraise and synthesize existing research for application to clinical practice. Using the ANCC Magnet Recognition Program criteria as a point of focus, this book prepares you for today’s emphasis on evidence-based practice in the clinical setting. NEW! Expanded emphasis on qualitative research addresses phenomenological research, grounded theory research, ethnographic research, exploratory-descriptive research, and historical research to support the development of nursing. NEW! Updated coverage of digital data collection guides you through use of the internet for research and addresses the unique considerations surrounding digital data collection methods. NEW! Pageburst ebook study guide gives you the opportunity to fully master and apply the text content in a convenient electronic format with integrated interactive review questions.

Cochrane Handbook for Systematic Reviews of Interventions

Methods (specifically polychotomous logistic regression models) are available for calculating study estimates of the log odds ratio and its SE. Methods specific to ordinal data become unwieldy (and unnecessary) when the number of ...

DOWNLOAD NOW »

Author: Julian P. T. Higgins

Publisher: John Wiley & Sons

ISBN: 9781119536659

Category: Medical

Page: 728

View: 259

The revised edition of the Handbook offers the only guide on how to conduct, report and maintain a Cochrane Review The second edition of The Cochrane Handbook for Systematic Reviews of Interventions contains essential guidance for preparing and maintaining Cochrane Reviews of the effects of health interventions. Designed to be an accessible resource, the Handbook will also be of interest to anyone undertaking systematic reviews of interventions outside Cochrane, and many of the principles and methods presented are appropriate for systematic reviews addressing research questions other than effects of interventions. This fully updated edition contains extensive new material on systematic review methods addressing a wide-range of topics including network meta-analysis, equity, complex interventions, narrative synthesis, and automation. Also new to this edition, integrated throughout the Handbook, is the set of standards Cochrane expects its reviews to meet. Written for review authors, editors, trainers and others with an interest in Cochrane Reviews, the second edition of The Cochrane Handbook for Systematic Reviews of Interventions continues to offer an invaluable resource for understanding the role of systematic reviews, critically appraising health research studies and conducting reviews.