Download applied regression an introduction quantitative applications in the social sciences in pdf or read applied regression an introduction quantitative applications in the social sciences in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get applied regression an introduction quantitative applications in the social sciences in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Applied Regression

Author: Michael S. Lewis-Beck
Publisher: Sage Publications, Inc
ISBN:
Size: 10.97 MB
Format: PDF, ePub, Docs
View: 599
Download and Read
Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy variables.

Regression Diagnostics

Author: John Fox
Publisher: SAGE
ISBN: 9780803939714
Size: 18.92 MB
Format: PDF, Kindle
View: 828
Download and Read
With Regression Diagnostics, researchers now have an accessible explanation of the techniques needed for exploring problems that compromise a regression analysis and for determining whether certain assumptions appear reasonable. The book covers such topics as the problem of collinearity in multiple regression, dealing with outlying and influential data, non-normality of errors, non-constant error variance and the problems and opportunities presented by discrete data. In addition, sophisticated diagnostics based on maximum-likelihood methods, scores tests, and constructed variables are introduced.

Logistic Regression

Author: Fred C. Pampel
Publisher: SAGE Publications
ISBN: 1452207615
Size: 80.52 MB
Format: PDF, ePub, Mobi
View: 1776
Download and Read
Pampel's book offers readers the first "nuts and bolts" approach to doing logistic regression through the use of careful explanations and worked-out examples. This book will enable readers to use and understand logistic regression techniques and will serve as a foundation for more advanced treatments of the topic.

Applied Logistic Regression Analysis

Author: Scott W. Menard
Publisher: Sage Publications, Inc
ISBN:
Size: 71.51 MB
Format: PDF, ePub
View: 1018
Download and Read
Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.

Understanding Regression Analysis

Author: Larry D. Schroeder
Publisher: SAGE
ISBN: 9780803927582
Size: 17.11 MB
Format: PDF, Mobi
View: 5016
Download and Read
The authors have provided beginners with a background to the frequently-used technique of linear regression. It is not intended to be a substitute for a course or textbook in statistics, but rather a stop-gap for students who encounter empirical work before undertaking a statistics course. It provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.

Understanding Regression Assumptions

Author: William D. Berry
Publisher: SAGE Publications
ISBN: 1506315828
Size: 60.61 MB
Format: PDF
View: 4821
Download and Read
Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation.

Interaction Effects In Multiple Regression

Author: James Jaccard
Publisher: SAGE
ISBN: 9780761927426
Size: 54.89 MB
Format: PDF
View: 6210
Download and Read
This is a practical introduction to conducting analyses of interaction effects in the context of multiple regression. This new edition expands coverage on the analysis of three-way interactions in multiple regression analysis.

A Mathematical Primer For Social Statistics

Author: John Fox
Publisher: SAGE
ISBN: 1412960800
Size: 61.86 MB
Format: PDF, Kindle
View: 3773
Download and Read
Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. This handy volume introduces the areas of mathematics that are most important to applied social statistics.

Regression With Dummy Variables

Author: Melissa A. Hardy
Publisher: SAGE
ISBN: 9780803951280
Size: 63.60 MB
Format: PDF, Mobi
View: 3703
Download and Read
It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy variables allow the researcher to represent information about group membership in quantitative terms without imposing unrealistic measurement assumptions on the categorical variables. Beginning with the simplest model, Hardy probes the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity, multiple comparisons and significance testing, the use of effects or contrast coding, testing for curvilinearity, and estimating a piecewise linear regression.

Understanding Significance Testing

Author: Lawrence B. Mohr
Publisher: SAGE
ISBN: 9780803935686
Size: 19.99 MB
Format: PDF, ePub, Mobi
View: 3234
Download and Read
Significance testing - a core technique in statistics for hypothesis testing - is introduced in this volume. Mohr first reviews what is meant by sampling and probability distributions and then examines in-depth normal and t-tests of significance. The uses and misuses of significance testing are also explored.