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Author : Clifford E. Lunneborg
Release : 1983-01-01
Genre : Multivariate analysis
Kind : eBook
Book Rating : 537/5 ( reviews)
Book Synopsis Elementary Multivariate Analysis for the Behavioral Sciences by : Clifford E. Lunneborg
Download or read book Elementary Multivariate Analysis for the Behavioral Sciences written by Clifford E. Lunneborg. This book was released on 1983-01-01. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Clifford E. Lunneborg
Release : 1983
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis ELEMENTARY MULTIVARIATE ANALYSIS FOR THE BEHAVIORAL SCIENCES : APPLICATIONS OF BASIC STRUCTURES by : Clifford E. Lunneborg
Download or read book ELEMENTARY MULTIVARIATE ANALYSIS FOR THE BEHAVIORAL SCIENCES : APPLICATIONS OF BASIC STRUCTURES written by Clifford E. Lunneborg. This book was released on 1983. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kimmo Vehkalahti
Release : 2018-12-19
Genre : Mathematics
Kind : eBook
Book Rating : 26X/5 ( reviews)
Book Synopsis Multivariate Analysis for the Behavioral Sciences, Second Edition by : Kimmo Vehkalahti
Download or read book Multivariate Analysis for the Behavioral Sciences, Second Edition written by Kimmo Vehkalahti. This book was released on 2018-12-19. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all datasets and R code for the examples and exercises Theoretical details are separated from the main body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics
Author : Kenneth A. Bollen
Release : 2014-08-28
Genre : Mathematics
Kind : eBook
Book Rating : 03X/5 ( reviews)
Book Synopsis Structural Equations with Latent Variables by : Kenneth A. Bollen
Download or read book Structural Equations with Latent Variables written by Kenneth A. Bollen. This book was released on 2014-08-28. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on ordering. It begins with an introduction to basic descriptive and inferential methods for categorical data, and then gives thorough coverage of the most current developments, such as loglinear and logit models for ordinal data. Special emphasis is placed on interpretation and application of methods and contains an integrated comparison of the available strategies for analyzing ordinal data. This is a case study work with illuminating examples taken from across the wide spectrum of ordinal categorical applications. 1984 (0 471-89055-3) 287 pp. Regression Diagnostics Identifying Influential Data and Sources of Collinearity David A. Belsley, Edwin Kuh and Roy E. Welsch This book provides the practicing statistician and econometrician with new tools for assessing the quality and reliability of regression estimates. Diagnostic techniques are developed that aid in the systematic location of data points that are either unusual or inordinately influential; measure the presence and intensity of collinear relations among the regression data and help to identify the variables involved in each; and pinpoint the estimated coefficients that are potentially most adversely affected. The primary emphasis of these contributions is on diagnostics, but suggestions for remedial action are given and illustrated. 1980 (0 471-05856-4) 292 pp. Applied Regression Analysis Second Edition Norman Draper and Harry Smith Featuring a significant expansion of material reflecting recent advances, here is a complete and up-to-date introduction to the fundamentals of regression analysis, focusing on understanding the latest concepts and applications of these methods. The authors thoroughly explore the fitting and checking of both linear and nonlinear regression models, using small or large data sets and pocket or high-speed computing equipment. Features added to this Second Edition include the practical implications of linear regression; the Durbin-Watson test for serial correlation; families of transformations; inverse, ridge, latent root and robust regression; and nonlinear growth models. Includes many new exercises and worked examples. 1981 (0 471-02995-5) 709 pp.
Author : Patricia Cohen
Release : 2014-04-04
Genre : Psychology
Kind : eBook
Book Rating : 249/5 ( reviews)
Book Synopsis Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by : Patricia Cohen
Download or read book Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences written by Patricia Cohen. This book was released on 2014-04-04. 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 CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. 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.
