Regression Analysis For The Social Sciences
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Regression Analysis For The Social Sciences
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Author : Rachel A. Gordon
language : en
Publisher: Routledge
Release Date : 2010
Regression Analysis For The Social Sciences written by Rachel A. Gordon and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a one-semester course. For a two-semester course, see www.routledge.com/books/details/9780415875363/
Regression Analysis For Social Sciences
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Author : Alexander von Eye
language : en
Publisher: Elsevier
Release Date : 1998-08-12
Regression Analysis For Social Sciences written by Alexander von Eye and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-08-12 with Social Science categories.
Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text. Presents accessible methods of regression analysis Includes a broad spectrum of methods Techniques are explained step-by-step Provides sample command and result files for SYSTAT
Regression Analysis For The Social Sciences
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Author : Rachel A. Gordon
language : en
Publisher: Routledge
Release Date : 2015-03-17
Regression Analysis For The Social Sciences written by Rachel A. Gordon and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-17 with Social Science categories.
Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: •interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. •thorough integration of teaching statistical theory with teaching data processing and analysis. •teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.
Analysis Of Multivariate Social Science Data
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Author : David J. Bartholomew
language : en
Publisher: CRC Press
Release Date : 2008-06-04
Analysis Of Multivariate Social Science Data written by David J. Bartholomew and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-04 with Mathematics categories.
Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, con
Statistics For Social Sciences
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Author : T. Rajaretnam
language : en
Publisher: SAGE Publishing India
Release Date : 2015-12-08
Statistics For Social Sciences written by T. Rajaretnam and has been published by SAGE Publishing India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Business & Economics categories.
A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences. Topical and up-to-date, it examines: • different types of statistical variables and their treatment • tabulation and graphical presentation of data • theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio • linear regression including checking for violation of assumptions, transformations of variables and predictions • inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others. It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.
Applied Regression Models In The Social Sciences
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Author : Dudley L. Poston, Jr
language : en
Publisher: Cambridge University Press
Release Date : 2023-07-31
Applied Regression Models In The Social Sciences written by Dudley L. Poston, Jr and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Social Science categories.
An accessible and practical guide to the use of applied regression models in testing and evaluating hypotheses dealing with social relationships, with example applications using relevant statistical methods in both Stata and R.
Statistical Methods For The Social And Behavioural Sciences
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Author : David B. Flora
language : en
Publisher: SAGE
Release Date : 2017-12-11
Statistical Methods For The Social And Behavioural Sciences written by David B. Flora and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-11 with Social Science categories.
Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.
Statistical Analysis In The Social Sciences
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Author : McKee J. McClendon
language : en
Publisher: Wadsworth Publishing
Release Date : 2004
Statistical Analysis In The Social Sciences written by McKee J. McClendon and has been published by Wadsworth Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Social sciences categories.
Statistical Analysis in the Social Sciences imbeds basic descriptive and inferential statistical concepts within a unified framework: the linear regression model. The regression model is used not only for conducting standard regression analyses but also for other statistical analyses that are ordinarily taught as separate and distinct techniques, such as correlation, difference of means, analysis of variance, and certain nonparametric tests. This extensive use of a single statistical model will increase students' depth of understanding and give them a sense of mastery and self-confidence that they might otherwise fail to achieve in their first statistics course.
Statistical Analysis For The Social Sciences
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Author : Norman R. Kurtz
language : en
Publisher: Prentice Hall
Release Date : 1999
Statistical Analysis For The Social Sciences written by Norman R. Kurtz and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Business & Economics categories.
People are bombarded with statistical data every day, but not many have had training in how to interpret or analyze this information. Kurtz's accessible writing style provides a basic yet sophisticated introduction to understanding and analyzing statistical applications. The book gives careful attention to the flow of ideas and concepts so there is a stream of logic which flows throughout, adding to the book's readability. The book begins with a discussion of methods for describing the distribution of a variable. The introduction of probability avoids the traditional discussion of the basic laws of probability, providing instead an explanation which can be directly applied in the everyday use of statistical probability. The discussion of the book is focused primarily on the relationship of probability to outcomes. Sociologists, psychologists, social workers, political scientists, educators, as well as anyone who wants to analyze data.
Regression Analysis In R
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Author : Jocelyn E. Bolin
language : en
Publisher: CRC Press
Release Date : 2022-07-27
Regression Analysis In R written by Jocelyn E. Bolin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-27 with Mathematics categories.
Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples. Key Features: Full output examples complete with interpretation Full syntax examples to help teach R code Appendix explaining basic R functions Methods for multilevel data that are often included in basic regression texts End of Chapter Comprehension Exercises