Multiple Regression

A Primer

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Author: Paul D. Allison

Publisher: Pine Forge Press

ISBN: 9780761985334

Category: Mathematics

Page: 202

View: 7207

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.

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: 3027

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: 772

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: 9817

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.

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: 4901

Statistical Methods for Geography

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Author: Peter Rogerson

Publisher: SAGE Publications Limited

ISBN: N.A

Category: Science

Page: 236

View: 4378

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.

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: 4291

Researchers across the natural and social sciences find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires more than the rote application of formulaic statistical methods. The premise of Statistical Thinking from Scratch is that students who want to become confident data analysts are better served by a deep introduction to a single statistical method than by a cursory overview of many methods. In particular, this book focuses on simple linear regression-a method with close 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. Considering simple linear regression in depth imparts an idea of how statistical procedures are designed, a flavour for the philosophical positions one assumes when applying statistics, and tools to probe the strengths 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.

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: 485

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.