Ordinal Methods For Behavioral Data Analysis

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Ordinal Methods for Behavioral Data Analysis

Author : Norman Cliff
Publisher : Psychology Press
ISBN 13 : 1317781430
Total Pages : 212 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Ordinal Methods for Behavioral Data Analysis by : Norman Cliff

Download or read book Ordinal Methods for Behavioral Data Analysis written by Norman Cliff and published by Psychology Press. This book was released on 2014-03-05 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Ordinal Measurement in the Behavioral Sciences

Author : Norman Cliff
Publisher : Psychology Press
ISBN 13 : 113569169X
Total Pages : 241 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Ordinal Measurement in the Behavioral Sciences by : Norman Cliff

Download or read book Ordinal Measurement in the Behavioral Sciences written by Norman Cliff and published by Psychology Press. This book was released on 2003-01-30 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It is based on the assumptions of ordinal statistics as explained in Norman Cliff's 1996 Ordinal Methods for Behavioral Data Analysis. It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory. Applications of these models can therefore lead to unwarranted inferences regarding the status of the derived variables. These methods can also be difficult to apply, particularly in small-sample contexts without making additional, unrealistic assumptions. Ordinal methods more closely reflect the original data, are simple to apply, and can be used in samples of any size. The book's approach is in essence a return to simple empiricism in psychological measurement. Ordinal Measurement in the Behavioral Sciences provides: *methods for analyzing test responses; *extensive discussions of ordinal approaches to analyzing data that are judgments of stimuli; *methods for treating psychological data in ways consistent with its ordinal nature so as to stimulate new developments in this area; and *ordinal test theory and the unfolding methods that are applicable to cross-cultural studies. Advanced students, researchers, and practitioners concerned with psychological measurement should find this book relevant. Measurement professionals will find it provides useful and simple methods that stimulate thought about measurement's real issues.

Ordinal Data Modeling

Author : Valen E. Johnson
Publisher : Springer Science & Business Media
ISBN 13 : 0387227024
Total Pages : 258 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Ordinal Data Modeling by : Valen E. Johnson

Download or read book Ordinal Data Modeling written by Valen E. Johnson and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.

New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

Author : L. Andries van der Ark
Publisher : Psychology Press
ISBN 13 : 1135704856
Total Pages : 274 pages
Book Rating : 4.1/5 (357 download)

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Book Synopsis New Developments in Categorical Data Analysis for the Social and Behavioral Sciences by : L. Andries van der Ark

Download or read book New Developments in Categorical Data Analysis for the Social and Behavioral Sciences written by L. Andries van der Ark and published by Psychology Press. This book was released on 2005-01-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits. The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.

New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

Author : L. Andries van der Ark
Publisher : Psychology Press
ISBN 13 : 1135704848
Total Pages : 274 pages
Book Rating : 4.1/5 (357 download)

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Book Synopsis New Developments in Categorical Data Analysis for the Social and Behavioral Sciences by : L. Andries van der Ark

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences

Author : William E. Wagner, III
Publisher : SAGE Publications
ISBN 13 : 1544321090
Total Pages : 142 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by : William E. Wagner, III

Download or read book Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences written by William E. Wagner, III and published by SAGE Publications. This book was released on 2018-02-28 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

Analysis of Ordinal Categorical Data

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1118209990
Total Pages : 376 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Analysis of Ordinal Categorical Data by : Alan Agresti

Download or read book Analysis of Ordinal Categorical Data written by Alan Agresti and published by John Wiley & Sons. This book was released on 2012-07-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Understanding Human Development

Author : Ursula M. Staudinger
Publisher : Springer Science & Business Media
ISBN 13 : 9781402073830
Total Pages : 548 pages
Book Rating : 4.0/5 (738 download)

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Book Synopsis Understanding Human Development by : Ursula M. Staudinger

Download or read book Understanding Human Development written by Ursula M. Staudinger and published by Springer Science & Business Media. This book was released on 2003-01-31 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding developmental processes in the individual as well as in aggregates of individuals is an important aim of many of the social and behavioral sciences. This book presents a theoretical framework for this endeavor - an architecture for the study of human development across different disciplines. This architecture describes two major sources of human development (biology and culture) and posits three central developmental mechanisms (selection, optimization, and compensation).

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Author : Jacob Cohen
Publisher : Routledge
ISBN 13 : 1134800940
Total Pages : 735 pages
Book Rating : 4.1/5 (348 download)

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Book Synopsis Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by : Jacob Cohen

Download or read book Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-06-17 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

Effect Sizes for Research

Author : Robert J. Grissom
Publisher : Routledge
ISBN 13 : 1135611475
Total Pages : 270 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Effect Sizes for Research by : Robert J. Grissom

Download or read book Effect Sizes for Research written by Robert J. Grissom and published by Routledge. This book was released on 2014-04-04 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to inform a broad readership about a variety of measures and estimators of effect sizes for research, their proper applications and interpretations, and their limitations. Its focus is on analyzing post-research results. The book provides an evenhanded account of controversial issues in the field, such as the role of significance testing. Consistent with the trend toward greater use of robust statistical methods, the book pays much attention to the statistical assumptions of the methods and to robust measures of effect size. Effect Sizes for Research discusses different effect sizes for a variety of kinds of variables, designs, circumstances, and purposes. It covers standardized differences between means, correlational measures, strength of association, and confidence intervals. The book clearly demonstrates how the choice of an appropriate measure might depend on such factors as whether variables are categorical, ordinal, or continuous; satisfying assumptions; the sampling method; and the source of variability in the population. It emphasizes a practical approach through: worked examples using real data; formulas and rationales for a variety of variables, designs, and purposes to help readers apply the material to their own data sets; software references for the more tedious calculations; and informative figures and tables, questions, and over 300 references. Intended as a resource for professionals, researchers, and advanced students in a variety of fields, this book is an excellent supplement for advanced courses in statistics in disciplines such as psychology, education, the social sciences, business, management, and medicine. A prerequisite of introductory statistics through factorial analysis of variance and chi-square is recommended.

Statistics and Research Methods in Psychology with Excel

Author : J.P. Verma
Publisher : Springer Nature
ISBN 13 : 9811334293
Total Pages : 619 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Statistics and Research Methods in Psychology with Excel by : J.P. Verma

Download or read book Statistics and Research Methods in Psychology with Excel written by J.P. Verma and published by Springer Nature. This book was released on 2019-08-27 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, specifically developed for students of psychology, covers a wide range of topics in statistics and research designs taught in psychology, in particular, and other disciplines like management, sociology, education, home science, and nutrition, in general, in most universities. It explains how to use Excel to analyze research data by elaborating statistical concepts. Each chapter contains sections like “Check you Computing skill” and “Check your Statistical Concepts” to enable students to assess their knowledge in a graded manner. The book addresses one of the major challenges in psychology research, viz., how to measure subjective phenomenon like attitude, desire, and preferences of an individual. Separate emphasis has been given to the measurement techniques which are essential tools to assess these subjective parameters in numerical form, required for statistical analysis to draw meaningful conclusions. The book is equally helpful to students of humanities, life sciences and other applied areas. Consisting of 14 chapters, the book covers all relevant topics of statistics and research designs which are important for students to plan and complete their research work.

A Guide to Robust Statistical Methods

Author : Rand R. Wilcox
Publisher : Springer Nature
ISBN 13 : 3031417135
Total Pages : 335 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis A Guide to Robust Statistical Methods by : Rand R. Wilcox

Download or read book A Guide to Robust Statistical Methods written by Rand R. Wilcox and published by Springer Nature. This book was released on 2023-11-26 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true—but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians.

Designing Experiments and Analyzing Data

Author : Scott E. Maxwell
Publisher : Routledge
ISBN 13 : 1317284569
Total Pages : 1056 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis Designing Experiments and Analyzing Data by : Scott E. Maxwell

Download or read book Designing Experiments and Analyzing Data written by Scott E. Maxwell and published by Routledge. This book was released on 2017-09-11 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter’s content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online, and extensive sets of exercises help develop a deeper understanding of the subject. Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments.com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data.

Modern Statistics for the Social and Behavioral Sciences

Author : Rand Wilcox
Publisher : CRC Press
ISBN 13 : 1466503238
Total Pages : 862 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Modern Statistics for the Social and Behavioral Sciences by : Rand Wilcox

Download or read book Modern Statistics for the Social and Behavioral Sciences written by Rand Wilcox and published by CRC Press. This book was released on 2011-08-05 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.

Applying Contemporary Statistical Techniques

Author : Rand R. Wilcox
Publisher : Elsevier
ISBN 13 : 0080527515
Total Pages : 676 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Applying Contemporary Statistical Techniques by : Rand R. Wilcox

Download or read book Applying Contemporary Statistical Techniques written by Rand R. Wilcox and published by Elsevier. This book was released on 2003-01-16 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books

Data Analysis for Experimental Design

Author : Richard Gonzalez
Publisher : Guilford Press
ISBN 13 : 1606230174
Total Pages : 458 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Data Analysis for Experimental Design by : Richard Gonzalez

Download or read book Data Analysis for Experimental Design written by Richard Gonzalez and published by Guilford Press. This book was released on 2009-01-01 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Potential threats to making a causal inference from an experimental design are highlighted. With an emphasis on basic between-subjects and within-subjects designs, Gonzalez resists presenting the countless "exceptions to the rule" that make many statistics textbooks so unwieldy and confusing for students and beginning researchers. Ideal for graduate courses in experimental design or data analysis, the text may also be used by advanced undergraduates preparing to do senior theses. Useful pedagogical features include: Discussions of the assumptions that underlie each statistical test Sequential, step-by-step presentations of statistical procedures End-of-chapter questions and exercises Accessible writing style with scenarios and examples This book is intended for graduate students in psychology and education, practicing researchers seeking a readable refresher on analysis of experimental designs, and advanced undergraduates preparing senior theses. It serves as a text for graduate level experimental design, data analysis, and experimental methods courses taught in departments of psychology and education. It is also useful as a supplemental text for advanced undergraduate honors courses.

DNA Microarrays and Related Genomics Techniques

Author : David B. Allison
Publisher : CRC Press
ISBN 13 : 1420028790
Total Pages : 391 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis DNA Microarrays and Related Genomics Techniques by : David B. Allison

Download or read book DNA Microarrays and Related Genomics Techniques written by David B. Allison and published by CRC Press. This book was released on 2005-11-14 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches