Statistical Graphics For Univariate And Bivariate Data

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Statistical Graphics for Univariate and Bivariate Data

Author : William G. Jacoby
Publisher : SAGE
ISBN 13 : 9780761900832
Total Pages : 116 pages
Book Rating : 4.9/5 (8 download)

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Book Synopsis Statistical Graphics for Univariate and Bivariate Data by : William G. Jacoby

Download or read book Statistical Graphics for Univariate and Bivariate Data written by William G. Jacoby and published by SAGE. This book was released on 1997-02-24 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Author William G. Jacoby focuses on graphical displays that researchers can employ as an integral part of the data analysis process. Such visual depictions are frequently more revealing than traditional, numerical summary statistics. Accessibly written, this book contains chapters on univariate and bivariate methods. The former covers histograms, smoothed histograms, univariate scatterplots, quantile plots, box plots, and dot plots. The latter covers scatterplot construction guidelines, jittering for overplotted points, marginal box plots, scatterplot slicing, the Loess procedure for nonparametric scatterplot smoothing, and banking to 45 degrees for enhanced visual perception. This book provides strategies for examining data more effectively. The resultant insights help researchers avoid the problem of forcing an inaccurate model onto uncooperative data and guide analysts to model specifications that provide accurate representations of empirical information. Learn more about "The Little Green Book" - QASS Series! Click Here

Statistical Graphics for Univariate and Bivariate Data

Author : William G. Jacoby
Publisher : SAGE
ISBN 13 : 0761900837
Total Pages : 107 pages
Book Rating : 4.7/5 (619 download)

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Book Synopsis Statistical Graphics for Univariate and Bivariate Data by : William G. Jacoby

Download or read book Statistical Graphics for Univariate and Bivariate Data written by William G. Jacoby and published by SAGE. This book was released on 1997-02-24 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Author William G. Jacoby focuses on graphical displays that researchers can employ as an integral part of the data analysis process. Such visual depictions are frequently more revealing than traditional, numerical summary statistics. Accessibly written, this book contains chapters on univariate and bivariate methods. The former covers histograms, smoothed histograms, univariate scatterplots, quantile plots, box plots, and dot plots. The latter covers scatterplot construction guidelines, jittering for overplotted points, marginal box plots, scatterplot slicing, the Loess procedure for nonparametric scatterplot smoothing, and banking to 45 degrees for enhanced visual perception. This book provides strategies for examining data more effectively. The resultant insights help researchers avoid the problem of forcing an inaccurate model onto uncooperative data and guide analysts to model specifications that provide accurate representations of empirical information. Learn more about "The Little Green Book" - QASS Series! Click Here

Graphics for Statistics and Data Analysis with R

Author : Kevin J Keen
Publisher : CRC Press
ISBN 13 : 1584880872
Total Pages : 486 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Graphics for Statistics and Data Analysis with R by : Kevin J Keen

Download or read book Graphics for Statistics and Data Analysis with R written by Kevin J Keen and published by CRC Press. This book was released on 2010-04-26 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation. The book considers graphical displays of a single discrete variable, a single continuous variable, and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart, bar chart, pictographs, stemplot, boxplot, and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation, diagnostic plots for the simple linear regression model, polynomial regression, and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics. Showing how to use graphics to display or summarize data, this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R. R code is available for download on the book’s website.

Statistical Graphics for Visualizing Multivariate Data

Author : William G. Jacoby
Publisher : SAGE
ISBN 13 : 9780761908999
Total Pages : 116 pages
Book Rating : 4.9/5 (89 download)

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Book Synopsis Statistical Graphics for Visualizing Multivariate Data by : William G. Jacoby

Download or read book Statistical Graphics for Visualizing Multivariate Data written by William G. Jacoby and published by SAGE. This book was released on 1998-02-06 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jacoby explores a variety of graphical displays that are useful for visualising multivariate data, and introduces the concept of a 'data space'. Several methods for coding information directly into the plotting symbols are explained.

Census Bureau Statistical Graphics

Author : Lawrence H. Cox
Publisher :
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4.:/5 (17 download)

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Book Synopsis Census Bureau Statistical Graphics by : Lawrence H. Cox

Download or read book Census Bureau Statistical Graphics written by Lawrence H. Cox and published by . This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: For some time, the U.S. Bureau of the Census has published statistical data in graphical as well as tabular formats. These graphical displays include barcharts, pie charts, line graphs, time series plots and univariate and bivariate statistical maps. Such publication graphics are provided both monochromatically and in color. Recently, the Census Bureau has initiated a research program to investigate the application of computer graphics to statistical data analysis. Examples of such analytical graphics are regression and time series plots, scatterplots used in outlier analysis, line graphs depicting rate of change overlayed on barcharts depicting level or value of one or more variables, and color statistical maps. This paper describes the computer graphics hardware and software capabilities of the Census Bureau, our experience in computerized statistical graphics, and research directions for employing computer graphics as an analytical tool in statistical data analysis.

Univariate, Bivariate, and Multivariate Statistics Using R

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1119549930
Total Pages : 384 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Univariate, Bivariate, and Multivariate Statistics Using R by : Daniel J. Denis

Download or read book Univariate, Bivariate, and Multivariate Statistics Using R written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods featured in data analysis and data science. The author— a noted expert in quantitative teaching —has written a quick go-to reference for performing essential statistical analyses and data management tasks in R. Requiring only minimal prior knowledge, the book introduces concepts needed for an immediate yet clear understanding of statistical concepts essential to interpreting software output. The author explores univariate, bivariate, and multivariate statistical methods, as well as select nonparametric tests. Altogether a hands-on manual on the applied statistics and essential R computing capabilities needed to write theses, dissertations, as well as research publications. The book is comprehensive in its coverage of univariate through to multivariate procedures, while serving as a friendly and gentle introduction to R software for the newcomer. This important resource: Offers an introductory, concise guide to the computational tools that are useful for making sense out of data using R statistical software Provides a resource for students and professionals in the social, behavioral, and natural sciences Puts the emphasis on the computational tools used in the discovery of empirical patterns Features a variety of popular statistical analyses and data management tasks that can be immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started quickly performing essential tasks in data analysis and data science Written for students, professionals, and researchers primarily in the social, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis fast, with an emphasis on drawing conclusions from empirical observations. The book can also serve as a primary or secondary textbook for courses in data analysis or data science, or others in which quantitative methods are featured.

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.

Dynamic Graphics Statistics

Author : Cleveland
Publisher : CRC Press
ISBN 13 : 9780534091446
Total Pages : 456 pages
Book Rating : 4.0/5 (914 download)

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Book Synopsis Dynamic Graphics Statistics by : Cleveland

Download or read book Dynamic Graphics Statistics written by Cleveland and published by CRC Press. This book was released on 1988-07-08 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential characteristic of a dynamic graphical method is the direct manipulation of elements of a graph on a computer screen, which in high-performance implementations, the elements change virtually instantaneously on the screen. This book contains a collection of papers about dynamic graphics dating from the late 1960s to 1988. Although technology has advanced considerably, the fundamental ideas about basic graphical principles and data-analytic goals are still relevant today.

Interactive and Dynamic Graphics for Data Analysis

Author : Dianne Cook
Publisher : Springer Science & Business Media
ISBN 13 : 0387717625
Total Pages : 202 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Interactive and Dynamic Graphics for Data Analysis by : Dianne Cook

Download or read book Interactive and Dynamic Graphics for Data Analysis written by Dianne Cook and published by Springer Science & Business Media. This book was released on 2007-09-05 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapter topics include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked low-dimensional views and working up to manual manipulation of tours of several variables. The book is augmented by a wealth of online material.

Latent Growth Curve Modeling

Author : Kristopher J. Preacher
Publisher : SAGE Publications
ISBN 13 : 1506333052
Total Pages : 113 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Latent Growth Curve Modeling by : Kristopher J. Preacher

Download or read book Latent Growth Curve Modeling written by Kristopher J. Preacher and published by SAGE Publications. This book was released on 2008-06-27 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Latent growth curve modeling (LGM)—a special case of confirmatory factor analysis designed to model change over time—is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit. The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD).. Key Features · Provides easy-to-follow, didactic examples of several common growth modeling approaches · Highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit · Explains the commonalities and differences between latent growth model and multilevel modeling of repeated measures data · Covers the basic linear latent growth model, and builds from there to describe more complex functional forms such as polynomial latent curves, multivariate latent growth curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models

Ordinal Item Response Theory

Author : Wijbrandt van Schuur
Publisher : SAGE Publications
ISBN 13 : 1412988047
Total Pages : 129 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Ordinal Item Response Theory by : Wijbrandt van Schuur

Download or read book Ordinal Item Response Theory written by Wijbrandt van Schuur and published by SAGE Publications. This book was released on 2011-05-04 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ordinal Item Response Theory is volume 169 in the SAGE Series "Quantitative Applications in the Social Sciences" (QASS). The of Ordinal Item Response Theory is referred to throughout many other QASS titles and fills a gap between the more classical topics of undimensional scaling, test theory, principal component and factor analysis. In addition, this volume also discusses parametric item response theory and latent class analysis. This monograph is less technical than many books on the market and is best suited for an introductory course in social science measurement"--

Working With Archival Data

Author : Glen H. Elder
Publisher : SAGE
ISBN 13 : 9780803942622
Total Pages : 104 pages
Book Rating : 4.9/5 (426 download)

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Book Synopsis Working With Archival Data by : Glen H. Elder

Download or read book Working With Archival Data written by Glen H. Elder and published by SAGE. This book was released on 1993 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of longitudinal data archives is growing almost daily, yet no resource exists to help understand the relationship between research questions and archival data--until now. Drawing on a single project, the Lewis Terman Study at Stanford University, the authors illustrate how to use the model-fitting process to select and fit the right data set to a particular research problem. Employing a step-by-step approach, this handy volume covers the measurement of historical influences, the adaptation of existing coding schemes to temporal patterns that are characteristic of life records, and the recasting of archival materials to illuminate contemporary questions that the data were not designed to answer.

Social Network Analysis

Author : David Knoke
Publisher : SAGE Publications
ISBN 13 : 1506389325
Total Pages : 197 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Social Network Analysis by : David Knoke

Download or read book Social Network Analysis written by David Knoke and published by SAGE Publications. This book was released on 2019-12-02 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knoke and Yang′s handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and network analytical methodology.

Introduction to the Comparative Method With Boolean Algebra

Author : Daniele Caramani
Publisher : SAGE
ISBN 13 : 1412909759
Total Pages : 129 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Introduction to the Comparative Method With Boolean Algebra by : Daniele Caramani

Download or read book Introduction to the Comparative Method With Boolean Algebra written by Daniele Caramani and published by SAGE. This book was released on 2009 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Utilizing a systematic, broad approach, Introduction to the Comparative Method With Boolean Algebra gives readers the logical foundations of comparison with guided applications and is the ultimate comparative method text covering each of the current and most important issues in the field. Author Daniele Caramani discusses the elements of scientific research, including Mill's methods, Boolean algebra, classification and typologization, and necessary and sufficient conditions, and how these apply to concrete research in the social sciences." "This text is indispensable for upper-level undergraduate and graduate students as well as researchers interested in methodology, behavioral and social sciences, history, and logic."--BOOK JACKET.

Interpreting and Comparing Effects in Logistic, Probit and Logit Regression

Author : Jacques A. P. Hagenaars
Publisher : SAGE Publications
ISBN 13 : 1544364008
Total Pages : 205 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Interpreting and Comparing Effects in Logistic, Probit and Logit Regression by : Jacques A. P. Hagenaars

Download or read book Interpreting and Comparing Effects in Logistic, Probit and Logit Regression written by Jacques A. P. Hagenaars and published by SAGE Publications. This book was released on 2024-02-27 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting and Comparing Effects in Logistic, Probit and Logit Regression shows applied researchers how to compare coefficient estimates from regression models for categorical dependent variables in typical research situations. It presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them.

Agent-Based Models

Author : Nigel Gilbert
Publisher : SAGE
ISBN 13 : 1412949645
Total Pages : 113 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Agent-Based Models by : Nigel Gilbert

Download or read book Agent-Based Models written by Nigel Gilbert and published by SAGE. This book was released on 2008 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at readers with minimal experience in computer programming, this brief book provides a theoretical and methodological rationale for using ABM in the social sciences. It goes on to describe some carefully chosen examples from different disciplines, illustrating different approaches to ABM. It concludes with practical advice about how to design and create ABM, a discussion of validation procedures, and some guidelines about publishing articles based on ABM.

Modern Methods for Robust Regression

Author : Robert Andersen
Publisher : SAGE
ISBN 13 : 1412940729
Total Pages : 129 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Modern Methods for Robust Regression by : Robert Andersen

Download or read book Modern Methods for Robust Regression written by Robert Andersen and published by SAGE. This book was released on 2008 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering an in-depth treatment of robust and resistant regression, this volume takes an applied approach and offers readers empirical examples to illustrate key concepts.