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Monday, May 4, 2020 | History

3 edition of Regression analysis for the social sciences found in the catalog.

Regression analysis for the social sciences

Rachel A. Gordon

Regression analysis for the social sciences

by Rachel A. Gordon

  • 399 Want to read
  • 36 Currently reading

Published by Routledge in New York, NY .
Written in English

    Subjects:
  • Social sciences,
  • Regression analysis

  • Edition Notes

    StatementRachel A. Gordon.
    Classifications
    LC ClassificationsH61 .G578 2010
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL23972509M
    ISBN 109780415991544, 9780203892497
    LC Control Number2009050278

    Damodar N. Gujarati’s Linear Regression: A Mathematical Introduction presents linear regression theory in a rigorous, but approachable manner that is accessible to students in all social sciences. This concise title goes step-by-step through the intricacies, and theory and practice of regression analysis. S. Weisberg, in International Encyclopedia of the Social & Behavioral Sciences, Regression analysis is the study of how a response variable depends on one or more predictors, for example how crop yield changes as inputs such as amount of irrigation or type of seed are varied, or how student performance changes as factors such as class size and expenditure per pupil are varied.

    Understanding Regression Analysis: An Introductory Guide (Quantitative Applications in the Social Sciences Book 57) by Larry D. Schroeder, David L. Sjoquist, et al. out of 5 stars Buy Regression Analysis for the Social Sciences 2 by Rachel A. Gordon (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.

    Sanford Weisberg, in International Encyclopedia of the Social & Behavioral Sciences (Second Edition), Regression analysis is the study of how a response variable depends on one or more predictors, for example how crop yield changes as inputs such as amount of irrigation or type of seed are varied, or how student performance changes as factors such as class size and expenditure per pupil. Preface SPSS, standing for Statistical Package for the Social Sciences, is a powerful, user-friendly software package for the manipulation and statistical analysis of data. The package is particularly useful for students and researchers in.


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Regression analysis for the social sciences by Rachel A. Gordon Download PDF EPUB FB2

Regression Analysis for the Social Sciences is a well-designed textbook for upper-level undergraduate and graduate-level courses in social statistics. The textbook achieves a seamless balance between theory and lestisserandsduquebec.com by: Nevertheless, with a little extra work with more technical references, readers of Understanding Regression Analysis will be in a good position to understand most applications of OLS regression.

That covers a lot of literature. Understanding Regression Analysis is a remarkably good introduction to this widely used statistical lestisserandsduquebec.com by: Regression Analysis for the Social Sciences is a well-designed textbook for upper-level undergraduate and graduate-level courses in social statistics.

The textbook achieves a seamless balance between theory and practice. Regression Analysis for the Social Sciences Regression analysis for the social sciences book a well-designed textbook for upper-level undergraduate and graduate-level courses in social statistics.

The textbook achieves a seamless balance between theory and practice. It provides a gentle yet thorough review of statistical theory of regression models. Mar 09,  · 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.

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.

Jun 13,  · Editorial Reviews. Review. “This is a thorough and accessible introduction to regression analysis as conducted and reported in the psychology research literature. In addition to the basics, there is up-to-date coverage of more advanced topics--for example, interaction effects, path analysis /5(8).

Regression Analysis: A Constructive Critique (Advanced Quantitative Techniques in the Social Sciences) (v. 11) 1st Edition byCited by: Regression Analysis for the Social Sciences is a masterpiece that I predict will be widely used in statistics courses in multiple disciplines.

The contemporary, diverse, and policy-relevant illustrations are bound to intrigue and instruct students from an array of backgrounds. Understanding Regression Analysis: An Introductory Guide presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.

It illustrates how regression coefficients are estimated, interpreted. Dec 12,  · Regression Analysis: A Constructive Critique (Advanced Quantitative Techniques in the Social Sciences Book 11) - Kindle edition by Richard A.

Berk. Download it once and read it on your Kindle device, PC, phones or tablets/5(3). "This book lives up to its subtitle as a "constructive critique" that complements the more standards "how-to" treatments of regression, and I hope that many students and practitioners will be inspired by it to think harder about the connections between their data analysis, their statistical models, and their social science research goals.".

Regression Analysis for the Social Sciences is a well-designed textbook for upper-level undergraduate and graduate-level courses in social statistics. The textbook achieves a seamless balance between theory and practice.4/5(2). Description: 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. 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. In Correlation and Regression Analysis: A Historian's Guide Thomas J.

Archdeacon provides historians with a practical introduction to the use of correlation and regression analysis. The book concentrates on the kinds of analysis that form the broad range of statistical methods used in the social sciences.

Introduction to Mediation, Moderation, and Conditional Process Analysis A Regression-Based Approach Andrew F. Hayes “This decidedly readable, informative book is perfectly suited for a range of audiences, from the novice graduate student not quite ready for SEM to the advanced statistics instructor.

Even the. lestisserandsduquebec.com - Buy Regression Analysis for the Social Sciences book online at best prices in India on lestisserandsduquebec.com Read Regression Analysis for the Social Sciences book reviews & author details and more at lestisserandsduquebec.com Free delivery on qualified lestisserandsduquebec.coms: 2.

Get this from a library. Regression analysis for the social sciences. [Rachel A Gordon] -- "This book provides graduate students in the social sciences with the basic skills that they need in order to estimate, interpret, present, and publish basic regression models using contemporary.

Jan 25,  · Understanding Regression Analysis: An Introductory Guide (Quantitative Applications in the Social Sciences Book 57) - Kindle edition by Larry D.

Schroeder, David L. Sjoquist, Paula E. Stephan. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Understanding Regression Analysis: An /5(14).

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.Examples of social science research using regression analysis --Planning a quantitative research project with existing data --Basic features of statistical packages and data documentation --Basics of writing batch programs with statistical packages --Basic concepts of bivariate regression --Basic concepts of multiple regression --Dummy.Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest.

While there are many types of regression analysis, at their core they all examine the influence of one or more independent variables on a dependent variable.