Multiple Regression

A Primer

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Author: Paul D. Allison

Publisher: Pine Forge Press

ISBN: 9780761985334

Category: Mathematics

Page: 202

View: 9593

Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters. With this organization, readers can stop at the end of any chapter and still feel like they've already gotten the meat of the subject.

Bildungserträge in der Erwerbsgesellschaft

Analysen zur Karrieremobilität

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Author: Jürgen Schiener

Publisher: Springer-Verlag

ISBN: 3531901664

Category: Social Science

Page: 295

View: 5071

Wissen gewinnt immer mehr an Bedeutung. Die Folgen für das Verhältnis von Bildung und Beschäftigung sind allerdings erst ansatzweise geklärt. Deshalb werden in diesem Buch ausgewählte Bezüge zwischen Bildung, Weiterbildung und beruflichen Karrieren anhand des sozio-ökonomischen Panels nachgezeichnet. Im Einzelnen geht es um den Wert von Bildungsabschlüssen bei der Statuszuweisung, die Entwicklung der Karrieremobilität, um Ungleichheiten in der Weiterbildungsbeteiligung und um den Nutzen beruflicher Weiterbildung für den sozialen Aufstieg. Die Ergebnisse werfen ein kritisches Licht auf den vielbeschworenen Anspruch des "lebenslangen Lernens".

Best Practices in Teaching Statistics and Research Methods in the Behavioral Sciences

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Author: Dana S. Dunn,Randolph A. Smith,Bernard C. Beins

Publisher: Routledge

ISBN: 1135598312

Category: Business & Economics

Page: 312

View: 6598

This book provides a showcase for "best practices" in teaching statistics and research methods in two- and four-year colleges and universities. A helpful resource for teaching introductory, intermediate, and advanced statistics and/or methods, the book features coverage of:ways to integrate these courseshow to promote ethical conducthow to create writing intensive programsnovel tools and activities to get students involvedstrategies for teaching online courses and computer applicationsguidance on how to create and maintain helpful web resourcesassessment advice to help demonstrate that students.

Social Statistics for a Diverse Society

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Author: Chava Frankfort-Nachmias,Anna Leon-Guerrero

Publisher: Pine Forge Press

ISBN: 9780761987437

Category: Mathematics

Page: 569

View: 5227

This groundbreaking textbook uses real-world research examples and data to provide a revealing introduction to social science statistics. The Third Edition of this widely adopted text effectively links social issues and sociological concepts with statistical techniques. Realizing that students may lack a substantial math background, or suffer from "math anxiety," the material in this book is presented using straightforward prose that emphasizes intuition, logic, and common sense rather than rote memorization. Throughout the text instructors are provided with resources to support effective teaching: illustrations showing how statistical concepts are used to interpret social issues, guides for reading and interpreting the research literature, SPSS demonstrations, and a rich variety of exercises. The user-friendly, informal style of this innovative text has been widely applauded by students and instructors alike.

A Mathematical Primer for Social Statistics

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Author: John Fox

Publisher: SAGE

ISBN: 1412960800

Category: Mathematics

Page: 170

View: 4379

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.

Applied Regression Analysis and Generalized Linear Models

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Author: John Fox

Publisher: SAGE Publications

ISBN: 1483352528

Category: Social Science

Page: 688

View: 2798

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Second Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material throughout the book. Key Updates to the Second Edition: Provides greatly enhanced coverage of generalized linear models, with an emphasis on models for categorical and count data Offers new chapters on missing data in regression models and on methods of model selection Includes expanded treatment of robust regression, time-series regression, nonlinear regression, and nonparametric regression Incorporates new examples using larger data sets Includes an extensive Web site at http://www.sagepub.com/fox that presents appendixes, data sets used in the book and for data-analytic exercises, and the data-analytic exercises themselves Intended Audience: This core text will be a valuable resource for graduate students and researchers in the social sciences (particularly sociology, political science, and psychology) and other disciplines that employ linear and related models for data analysis.

Converting Data into Evidence

A Statistics Primer for the Medical Practitioner

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Author: Alfred DeMaris,Steven H. Selman

Publisher: Springer Science & Business Media

ISBN: 1461477921

Category: Medical

Page: 221

View: 9343

Converting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughout their professional careers. These techniques play an important part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heart of this research is the science of statistics. It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authors begin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. They then proceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate and bivariate tests. The coverage then moves to statistical modeling, including linear and logistic regression and survival analysis. In a final chapter, a user-friendly introduction to some newer, cutting-edge, regression techniques will be included, such as fixed-effects regression and growth-curve modeling. A unique feature of the work is the extensive presentation of statistical applications from recent medical literature. Over 30 different articles are explicated herein, taken from such journals. With the aid of this primer, the medical researcher will also find it easier to communicate with the statisticians on his or her research team. The book includes a glossary of statistical terms for easy access. This is an important reference work for the shelves of physicians, nurses, nurse practitioners, physician’s assistants, medical students, and residents.

Data-text primer

an introduction to computerized social data analysis

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Author: David J. Armor,Arthur S. Couch

Publisher: N.A

ISBN: N.A

Category: Social Science

Page: 227

View: 4481

Statistical Thinking from Scratch

A Primer for Scientists

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Author: M. D. Edge

Publisher: Oxford University Press, USA

ISBN: 9780198827634

Category:

Page: 320

View: 4155

In virtually every field, researchers find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires much more than the rote application of traditional statistical methods. This book will train researchers to be creative and confident users of statistics by thinking hard about the application of simple methods to a small dataset. In particular, this book focuses on simple linear regression - a method with strong connections to the most important tools in applied statistics - using it as a detailed case study for teaching resampling-based, likelihood-based, and Bayesian approaches to statistical inference. This exercise imparts an idea of how statistical procedures are designed and implemented, a flavor for the philosophical positions one implicitly assumes when applying statistics, and an opportunity to probe the strengths and weaknesses of one's statistical approach. Key to the book's novel approach is its mathematical level, which is gentler than most texts for statisticians but more rigorous than most introductory texts for non-statisticians. Statistical Thinking from Scratch is suitable for senior undergraduate and beginning graduate students, professional researchers, and practitioners seeking to improve their understanding of statistical methods across the natural and social sciences, medicine, psychology, public health, business, and other fields.

Missing Data

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Author: Paul D. Allison

Publisher: SAGE Publications, Incorporated

ISBN: N.A

Category: Mathematics

Page: 93

View: 3440

Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has relied on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.

Multiple and Generalized Nonparametric Regression

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Author: John Fox

Publisher: SAGE Publications, Incorporated

ISBN: N.A

Category: Social Science

Page: 83

View: 5258

This book builds on John Fox’s previous volume in the QASS Series, Non Parametric Simple Regression. In this book, the reader learns how to estimate and plot smooth functions when there are multiple independent variables.

The Oxford Handbook of Quantitative Methods in Psychology

Foundations

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Author: Todd D. Little

Publisher: Oxford University Press, USA

ISBN: 019937015X

Category: Psychology

Page: 515

View: 6396

This two-volume handbook on current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences covers philosophical and ethical issues, theory construction, model building and types of models, survey and experiment design, measurement issues, observational methods, statistical methods, types of analysis, types of data, and common research fallacies.

Statistical Methods for Geography

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Author: Peter Rogerson

Publisher: SAGE Publications Limited

ISBN: N.A

Category: Science

Page: 236

View: 3966

This text provides a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. The book provides an overview of spatial data and spatial data analysis.

Discovering statistics using SPSS

(and sex, drugs and rock 'n' roll)

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Author: Andy P. Field

Publisher: Sage Publications Ltd

ISBN: 9780761944515

Category: Mathematics

Page: 779

View: 9046

WINNER OF THE 2007 BRITISH PSYCHOLOGICAL SOCIETY BOOK AWARD 2007 'It is noteworthy that after I used some of the illustrations and mentioned the book in class, most students went and bought a copy. Their final papers were heavily "Field-referenced"! That is the best endorsement one can give to a text' - Journal of Advanced Nursing 'The wide range of statistical techniques covered combined with good accompanying background explanations, communicated in a relaxed, affable style, make this book a useful addition to the bookshelves of both practitioners and teachers of statistics alike in the social sciences' - Peter Watson, MRC Cognition and Brain Sciences Unit, Cambridge and Chair of ASSESS, Independent European Group of SPSS Users 'The Second Edition of Andy Field's Discovering Statistics Using SPSS is an excellent book and a valuable addition to the teaching of statistics in the behavioral sciences. The title of the book accurately reflects the approach taken. This is not simply a primer on how to use SPSS, but is a very good statistics text using SPSS as a vehicle for illustrating and expanding on the statistical content of the book. At the same time it also serves as a manual for SPSS, and has taught me things that I had not known about the software. One advantage of the text is that it is not tied specifically to the latest version of SPSS. Although the examples use version 12.0, there are many references to the difference the students will find if they are using an earlier version. A good example of how the text is structured can be seen in Chapters 8 and 9. Chapter 8 provides an introduction to the analysis of variance, and roughly the first 40 pages are devoted to statistical issues. Only after that introduction does the author move to a discussion of using SPSS to run the analyses. Chapter 9 deals with the analysis of covariance, and here the author moves almost immediately to SPSS printout, having laid most of the groundwork in the previous chapter. I find this flexible approach to the blending of content and software to be an effective way of teaching the material. It is impossible to review this book without commenting on Andy's particular style. I enjoyed it immensely and think that it would appeal to both students and their instructors. It is refreshing to see someone who doesn't take himself too seriously' - David C Howell, Professor Emeritus, University of Vermont 'The new edition of Field's textbook confirms its place as the best statistics text for undergraduate social science students. It provides support for those less confident about statistical analysis whilst having sufficient depth that it will still be valuable to more mathematically experienced people. There is a focus throughout on the practical aspects of data analysis and interpretation whilst at the same time emphasizing the importance of rigour and a good understating of theory essential reading' - Dr Ian Walker, Department of Psychology, University of Bath 'Very useful, valuable and interesting. Summing up: Highly recommended' - CHOICE, Current Reviews for Academic Librarians This new edition of Field's textbook provides students of statistical methods with everything they need to understand, use and report statistics - at every level. Written in Andy Field's vivid and entertaining style, and furnished with playful examples from everyday student life (among other places), the book forms an accessible gateway into the often intimidating world of statistics and a unique opportunity for students to ground their knowledge of statistics through the use of SPSS. The text is fully