Measures Of Association
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Measures Of Association
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Author : Albert M. Liebetrau
language : en
Publisher: SAGE
Release Date : 1983-04
Measures Of Association written by Albert M. Liebetrau and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-04 with Reference categories.
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.
Nonparametric Measures Of Association
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Author : Jean Dickinson Gibbons
language : en
Publisher: SAGE
Release Date : 1993-02-25
Nonparametric Measures Of Association written by Jean Dickinson Gibbons and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-02-25 with Reference categories.
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.
Measures Of Association For Cross Classifications
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Author : L. A. Goodman
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Measures Of Association For Cross Classifications written by L. A. Goodman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
In 1954, prior to the era of modem high speed computers, Leo A. Goodman and William H. Kruskal published the fmt of a series of four landmark papers on measures of association for cross classifications. By describing each of several cross classifications using one or more interpretable measures, they aimed to guide other investigators in the use of sensible data summaries. Because of their clarity of exposition, and their thoughtful statistical approach to such a complex problem, the guidance in this paper is as useful and important today as it was on its publication 25 years ago. in a cross-classification by a single number inevita Summarizing association bly loses information. Only by the thoughtful choice of a measure of association can one hope to lose only the less important information and thus arrive at a satisfactory data summary. The series of four papers reprinted here serve as an outstanding guide to the choice of such measures and their use.
The Measurement Of Association
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Author : Kenneth J. Berry
language : en
Publisher: Springer
Release Date : 2018-11-02
The Measurement Of Association written by Kenneth J. Berry and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-02 with Mathematics categories.
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology.
Criteria For Measures Of Association
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Author : Herbert L. Costner
language : en
Publisher:
Release Date : 1965
Criteria For Measures Of Association written by Herbert L. Costner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1965 with categories.
Criteria For Measures Of Association
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Author :
language : en
Publisher: Ardent Media
Release Date :
Criteria For Measures Of Association written by and has been published by Ardent Media this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Encyclopedia Of Research Design
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Author : Neil J. Salkind
language : en
Publisher: SAGE
Release Date : 2010-06-22
Encyclopedia Of Research Design written by Neil J. Salkind and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-22 with Philosophy categories.
"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
7 Measures Of Success
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Author : American Society of Association Executives (ASAE)
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-03
7 Measures Of Success written by American Society of Association Executives (ASAE) and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-03 with Business & Economics categories.
ASAE's signature guide for successful associations, revised and updated This update of ASAE's all-time bestseller retains the original book's focus on the disciplines that define remarkable associations and provides some insights on how those remarkable organizations fared in light of the economic challenges in the intervening years since the original publication was published. Based on 15 years of data and original, objective research tailored to the association community's needs, 7 Measures of Success provides empirical data and seven success factors common among visionary nonprofits. Turn your organization from ordinary to extraordinary and discover how to: Inspire a customer service-oriented culture Align products and services with your mission Process feedback from members and use the data to deliver results Take actions that position your organization to adapt quickly Without question, this is a must-read book for all levels of association professionals.
Measures Of Association And Dependence Through Copulas
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Author : Qingsong Shan
language : en
Publisher:
Release Date : 2015
Measures Of Association And Dependence Through Copulas written by Qingsong Shan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Copulas (Mathematical statistics) categories.
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.
A Beginner S Guide To Statistics For Criminology And Criminal Justice Using R
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Author : Alese Wooditch
language : en
Publisher: Springer Nature
Release Date : 2021-06-03
A Beginner S Guide To Statistics For Criminology And Criminal Justice Using R written by Alese Wooditch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Social Science categories.
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results. The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020).