Download or read book Measures of Association for Cross Classifications written by Leo A. Goodman and published by . This book was released on 1979 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measures of Association for Cross Classifications written by L. A. Goodman and published by Springer. This book was released on 1979-11-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Measures of Association for Cross Classifications written by Leo A. Goodman and published by . This book was released on 1959 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Analysis of Cross classifications written by Henry T. Reynolds and published by . This book was released on 1977 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measures of Association for Cross classification written by Flason Yang-Seng Fann and published by . This book was released on 1983 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonparametric Measures of Association written by Jean Dickinson Gibbons and published by SAGE. This book was released on 1993-02-25 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Measures of the Strength of an Association in Cross Classification written by Vei Hseu and published by . This book was released on 1983 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measures of Association for Cross classifications Under Complex Sampling Designs written by E. A. Molina and published by . This book was released on 1982 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measures of Association for Cross classifications Under Complex Sampling Designs written by Emiro Antonio Molina-Cuevas and published by . This book was released on 1982 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measures of Association for Cross Classifications written by L. A. Goodman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Prediction Analysis of Cross Classifications written by David K. Hildebrand and published by John Wiley & Sons. This book was released on 1977 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific prediction; Prediction and association; Prediction analysis for bivariate propositions: population measures; Bivariate prediction analysis: applications; Bivariate prediction analysis for pairs of events; Bivariate statistical inference; Multivariate methods.
Download or read book Measures of Association written by Albert M. Liebetrau and published by SAGE Publications, Incorporated. This book was released on 1983-04 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Association Models for Cross classifications Having Ordered Categories written by Abbas Kezouh and published by . This book was released on 1984 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measures of Association for Cross Clasification written by Leo A. Goodman and published by . This book was released on with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measures of Association for Cross Clasifications II Further Discuccion and References written by Leo A. Goodman and published by . This book was released on with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Journal of the American Statistical Association written by American Statistical Association and published by . This book was released on 1959 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
Download or read book The Measurement of Association written by Kenneth J. Berry and published by Springer. This book was released on 2018-11-02 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
