Nonparametric Measures of Association

Nonparametric Measures of Association

In addition, each technique is illustrated by one or more examples from recent social or behavioural science studies. Finally, Gibbons provides information on the strengths and weaknesses of leading statisti

Author: Jean D. Gibbons

Publisher: SAGE

ISBN: 0803946643

Category: Social Science

Page: 97

View: 793

When analyzing data, how should the relationship between two or more sets of observations be described, that is, values of two or more variables, when the variables are ordinal and not bivariate normal? Aimed at helping the researcher select the most appropriate measure of association for two or more variables, the author clearly describes such techniques as Spearman's rho, Kendall's tau, Goodman and Kruskals' gamma and Somer's d and carefully explains the calculation procedures as well as the substantive meaning of each measure. In addition, each technique is illustrated by one or more examples from recent social or behavioural science studies. Finally, Gibbons provides information on the strengths and weaknesses of leading statisti
Categories: Social Science

Correlation

Correlation

After reading this book, the reader will be able to compare and distinguish the concepts of similarity and relationship, identify the distinction between correlation and causation, and to interpret correlations correctly.

Author: Peter Y Chen

Publisher: SAGE Publications, Incorporated

ISBN: STANFORD:36105110261414

Category: Mathematics

Page: 95

View: 992

Correlations, in general, and the Pearson product-moment correlation in particular, can be used for many research purposes, ranging from describing a relationship between two variables as a descriptive statistic to examining a relationship between two variables in a population as an inferential statistic, or to gauge the strength of an effect, or to conduct a meta-analytic study. How can correlation be more effectively used so that one doesn't misinterpret the data? This book reveals how to do this by examining Pearson r from its conceptual meaning, to assumptions, special cases of the Pearson r, the biserial coefficient and tetrachoric coefficient estimates of the Pearson r, its uses in research (including effect size, power analysis, meta-analysis, utility analysis, reliability estimates and validation), factors that affect the Pearson r, and finally to additional nonparametric correlation indexes. After reading this book, the reader will be able to compare and distinguish the concepts of similarity and relationship, identify the distinction between correlation and causation, and to interpret correlations correctly.
Categories: Mathematics

Statistical Persuasion

Statistical Persuasion

Nonparametric. Measures. of. Association. • Cochran's Q: For dichotomous dummy variables (coded “0” and “1”) (Note: It has a chi-square distribution and is ...

Author: Robert W. Pearson

Publisher: SAGE

ISBN: 9781412974967

Category: Social Science

Page: 405

View: 312

This text helps readers understand how to collect, manage, evaluate, and analyze data. It also provides guidelines for the presentation of analysis, especially for nonacademic audiences without training in statistical analysis. These guidelines help ensure that statistics and graphical displays tell the story that analysts want to convey while protecting their analysis from methodological criticism. Author Robert Pearson focuses attention on the conceptual understanding of statistics, while referring (sparingly) to specific formulas when they help reveal a conceptual point about the statistics. Key Features · Combines a concern for the design, collection, measurement, and the management of data with its analysis and presentation · Provides examples and data concerning real world problems in education, crime, government performance, and other policy arenas · Clearly demonstrates the steps used to generate the appropriate statistics and graphs in Excel and SPSS and then provides exercises to replicate and elaborate on these examples This book and its supporting materials are ideally suited for graduate students in professional degree programs in public policy, education, social work, criminology, urban planning, and related schools as well as advanced undergraduates in these fields. The book's explanations, descriptions, illustrations, and step-by-step exercises create the skills and knowledge required of a policy analyst, advisor, consultant or the elected or appointed public official or nonprofit officer who wants to be better able to interpret and evaluate others' applied social research. Its data sets, solutions sets, instructors' manual, lecture slides, and student workbook provide instructors with a complete and fully integrated instructional package.
Categories: Social Science

Nonparametric Statistical Inference

Nonparametric Statistical Inference

Measures. of. Association. in. a. Bivariate. Population. In Chapter 5, we saw that the ordinary sign test and Wilcoxon signed-rank procedures, ...

Author: Jean Dickinson Gibbons

Publisher: CRC Press

ISBN: 9781351616164

Category: Mathematics

Page: 674

View: 810

Praise for previous editions: "... a classic with a long history." – Statistical Papers "The fact that the first edition of this book was published in 1971 ... [is] testimony to the book’s success over a long period." – ISI Short Book Reviews "... one of the best books available for a theory course on nonparametric statistics. ... very well written and organized ... recommended for teachers and graduate students." – Biometrics "... There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics "... Useful to students and research workers ... a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical Association Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new references Nonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers.
Categories: Mathematics

Measures of Association

Measures of Association

Multiple Indicators Sullivan / Feldman 16. Exploratory Data Analysis Hartwig / Dearing 17. ... Nonparametric Measures of Association Gibbons 92.

Author: Albert M. Liebetrau

Publisher: SAGE

ISBN: 0803919743

Category: Social Science

Page: 95

View: 703

Clearly reviews the properties of important contemporary measures of association and correlation. Liebetrau devotes full chapters to measures for nominal, ordinal, and continuous (interval) data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals. Valuable discussions also focus on the relationships between various measures, the sampling properties of their estimators and the comparative advantages and disadvantages of different approaches.
Categories: Social Science

Nonparametric Statistics for Social and Behavioral Sciences

Nonparametric Statistics for Social and Behavioral Sciences

Association between two variables is a broader term for a relationship ... the most commonly used nonparametric measures of association and agreement.

Author: M. Kraska-MIller

Publisher: CRC Press

ISBN: 9781466507623

Category: Mathematics

Page: 260

View: 592

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM’s SPSS software. This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text: Explains a conceptual framework for each statistical procedure Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure Details SPSS paths for conducting various analyses Discusses the interpretations of statistical results and conclusions of the research With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.
Categories: Mathematics

Making History Count

Making History Count

We will now introduce , but not discuss in detail , four further nonparametric measures of strength of association which are not subject to the limitations ...

Author: Charles H. Feinstein

Publisher: Cambridge University Press

ISBN: 0521001374

Category: Business & Economics

Page: 547

View: 381

Making History Count introduces the main quantitative methods used in historical research. The emphasis is on intuitive understanding and application of the concepts, rather than formal statistics; no knowledge of mathematics beyond simple arithmetic is required. The techniques are illustrated by applications in social, political, demographic and economic history. Students will learn to read and evaluate the application of the quantitative methods used in many books and articles, and to assess the historical conclusions drawn from them. They will also see how quantitative techniques can open up new aspects of an enquiry, and supplement and strengthen other methods of research. This textbook will encourage students to recognize the benefits of using quantitative methods in their own research projects. The text is clearly illustrated with tables, graphs and diagrams, leading the student through key topics. Additional support includes five specific historical data-sets, available from the Cambridge website.
Categories: Business & Economics

Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition

Handbook of Parametric and Nonparametric Statistical Procedures  Fifth Edition

Test 31 Kendall's Coefficient of Concordance (Nonparametric Measure of Association/Correlation Employed with Ordinal Data) I. Hypothesis Evaluated with Test ...

Author: David J. Sheskin

Publisher: CRC Press

ISBN: 9781000083279

Category: Mathematics

Page: 1928

View: 920

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th
Categories: Mathematics

Measures of Association and Dependence Through Copulas

Measures of Association and Dependence Through Copulas

In this work we consider how to measure the strength of various associations between two random variables, especially functional dependence.

Author: Qingsong Shan

Publisher:

ISBN: OCLC:927766243

Category: Copulas (Mathematical statistics)

Page: 294

View: 993

In this work we consider how to measure the strength of various associations between two random variables, especially functional dependence. Several measures and their properties will provided, then their estimations are discussed. Among the measures of associations between random variables, Pearson's correlation coefficient, Spearman's [rho] and Kendall's [tau] are the most prominent. They only measure linear or monotonic relationships, not suitable for nonlinear cases. Here a measure for functional relationship will be provided. This functional relationship could be either linear or nonlinear. Joint distributions are often used in association analysis. One drawback of using joint distributions is that, even for the same type of association, for instance independence, joint distributions may be different. This is because joint distributions are not only affected by the dependence structure between random variables, but also affected by the variables themselves through their distributions. Instead of using joint distributions, our definition will make use of copula, which is a function that only describes association and will not be affected by the marginal distributions. A measure of positive quadrant dependence, several measures of mutual complete dependence and functional dependence for discrete random variables will be provided. The measures off mutual complete dependence and functional dependence have two equivalent forms: one is constructed by measuring the "average" distance between conditional distributions and marginal distributions, and the other is constructed through subcopulas. Those measures are all ranged from 0 to 1, and the value of the measure tells us how strong the relationship is. Some properties of the measures are also obtained. To apply those measures to sample data, several estimators are suggested. Unlike the joint distributions, which are directly observable, copulas are hidden dependence structures. This makes the task of proposing a parametric copula model non-trivial and is where a non parametric estimator can play a significant role. All estimators in this thesis are based on nonparametric kernel estimations, special emphasis are given to Beta kernel estimations.
Categories: Copulas (Mathematical statistics)

ESRC Data Archive Bulletin

ESRC Data Archive Bulletin

The title of the book is ' Nonparametric Measures of Association ' . However , this
is slightly misleading because the subject matter covers measures designed for
ordinal data and does not examine association in contingency tables with ...

Author:

Publisher:

ISBN: IND:30000046721969

Category: Data libraries

Page:

View: 279

Categories: Data libraries

A Biostatistics Toolbox for Data Analysis

A Biostatistics Toolbox for Data Analysis

Nonparametric Measure of Association: The γ-Coefficient The expression for the covariance estimated from variables x and y is SXY = 1 n − 1 ∑ (xi ...

Author: Steve Selvin

Publisher: Cambridge University Press

ISBN: 9781316473054

Category: Medical

Page:

View: 778

This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/9781107113084.
Categories: Medical

Polarity And War

Polarity And War

Measures. of. Association. This step in the exploration into the problem of war expansion entails the use of nonparametric measures of association with ...

Author: Alan Ned Sabrosky

Publisher: Routledge

ISBN: 9781000306026

Category: Political Science

Page: 231

View: 294

A fundamental transformation is underway in the structure of the international political system, with changes in both the definition and the distribution of power in world politics. But the precise extent of those changes and their implications for the conduct of foreign affairs remain unclear. The contributors to this book draw upon a common data base to provide the most current assessment available of the relationships among power, alliance, polarity, and international conflict in today's emerging world system.
Categories: Political Science

The Concurrent Validity of Progress Measures of Basal Reading Material

The Concurrent Validity of Progress Measures of Basal Reading Material

The progress measures or resulting mastery scores described above represent
an ordinal level of measurement . Typically , it is preferable to enter ordinal data
into a Spearman rho or a Kendall tau , nonparametric measures of association .

Author: Lynn Shteir Fuchs

Publisher:

ISBN: MINN:319510010336109

Category:

Page: 314

View: 374

Categories:

Nonparametric Statistics for Health Care Research

Nonparametric Statistics for Health Care Research

Although the Spearman rho appears to be the more commonly used nonparametric measure of association for continuous variables in the health care literature, ...

Author: Marjorie A. Pett

Publisher: SAGE Publications

ISBN: 9781483313092

Category: Social Science

Page: 472

View: 651

What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research by Marjorie A. Pett was developed for such scenarios—research undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts, and how to present the results in table and text format.
Categories: Social Science

Law and Economic Organization

Law and Economic Organization

Nonparametric measures of association I have used several nonparametric ... each measure is sensitive to different aspects of statistical association , as I ...

Author: Katherine S. Newman

Publisher: Cambridge University Press

ISBN: 0521289661

Category: Law

Page: 264

View: 642

In this important contribution to the comparative study of legal systems the author examines a sample of some sixty pre-industrial societies from around the world in an attempt to explain why their legal institutions vary.
Categories: Law

Practical Nonparametric Statistics

Practical Nonparametric Statistics

Nonparametric Measures of Association . Sage University Paper series on Quantitative Applications in the Social Sciences , 07-091 , Newbury Park , CA ( 5.4 ) ...

Author: W. J. Conover

Publisher: John Wiley & Sons

ISBN: 9780471160687

Category: Mathematics

Page: 608

View: 749

This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the Fisher Exact Test for two-by-two contingency tables, the Mantel-Haenszel Test for combining several contingency tables, the Kaplan-Meier estimates of the survival curve, the Jonckheere-Terpstra Test and the Page Test for ordered alternatives, and a discussion of the bootstrap method.
Categories: Mathematics

Inter observer Agreement and Models of Monaural Auditory Processing in Detection Task

Inter observer Agreement and Models of Monaural Auditory Processing in Detection Task

4.3 Nonparametric Measures of Association We review two popular
nonparametric measures of association which will be useful in the discussion of
observer performance and concordance . Following Kendall ( 1962 ) , for two
random ...

Author: Gordon Wells Wilcox

Publisher:

ISBN: UIUC:30112032881903

Category: Audiometry

Page: 115

View: 115

Categories: Audiometry

Handbook of Research Methods in Public Administration Second Edition

Handbook of Research Methods in Public Administration  Second Edition

Nonparametric Measures of Association, Newbury Park, CA: Sage Publications (Quantitative Applications in the Social Sciences, V. 91). Kaplan, A. (1964).

Author: Gerald J. Miller

Publisher: CRC Press

ISBN: 0824702131

Category: Political Science

Page: 672

View: 304

This comprehensive handbook covers a wide variety of quantitative methods used for research in public administration, public policy, and nonprofit management, including theory-building and testing, increasing the readers awareness and command of analytical tools critical to the resolution of complex problems. Providing bibliographic citations and over 370 tables, equations, and drawings, the book compares the function of quantitative techniques in past and present public administration literature and practices, furnishes information for visualizing, planning, and implementing research projects, and explores potential applications of quantitative public administration.
Categories: Political Science