Statistics for People Who (Think They) Hate Statistics
Statistics for People Who (Think They) Hate Statistics

Author: Neil J. Salkind

Publisher: SAGE Publications

Published: 2016-01-29

Total Pages: 620

ISBN-13: 1483374106

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Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.

Tests & Measurement for People Who (Think They) Hate Tests & Measurement
Tests & Measurement for People Who (Think They) Hate Tests & Measurement

Author: Neil J. Salkind

Publisher: SAGE Publications

Published: 2017-04-18

Total Pages: 281

ISBN-13: 1506368360

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Using his signature, conversational writing style and straightforward presentation, Neil J. Salkind’s best-selling Tests & Measurement for People Who (Think They) Hate Tests & Measurement guides readers through an overview of categories of tests, the design of tests, the use of tests, and some of the basic social, political, and legal issues that the process of testing involves. The Third Edition includes a new chapter on item response theory, new sections on neuropsychological testing, new cartoons, and additional end-of-chapter exercises. Free online resources accompany the text to make teaching easier and provide students with the practice tools they need to master the material.

Tests & Measurement for People Who (Think They) Hate Tests & Measurement
Tests & Measurement for People Who (Think They) Hate Tests & Measurement

Author: Neil J. Salkind

Publisher: SAGE

Published: 2013

Total Pages: 425

ISBN-13: 1412989752

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The real-world examples and journal article citations presented within each chapter are very useful. I like having the references and the ability to share the full article with students. I find the use of humor throughout the book as a key component. Very serious topics (which can sometimes produce anxiety in students) are approached in a humorous manner that prevents students from becoming anxious as they start the material.

Test Development and Validation
Test Development and Validation

Author: Gary Skaggs

Publisher: SAGE Publications

Published: 2021-12-31

Total Pages: 409

ISBN-13: 1544377177

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Test Development and Validation by Gary Skaggs frameworks for test development and validation, and guidance for developing tests in straightforward language in one core text. Covering the changes in testing, technical development of tests and determining validity of tests, this book offers clear explanations within a real-world context.

Measurement Error and Research Design
Measurement Error and Research Design

Author: Madhu Viswanathan

Publisher: SAGE

Published: 2005-02-10

Total Pages: 460

ISBN-13: 9781412906425

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"Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most important, the book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research."--BOOK JACKET.

The Mismeasure of Man (Revised and Expanded)
The Mismeasure of Man (Revised and Expanded)

Author: Stephen Jay Gould

Publisher: W. W. Norton & Company

Published: 2006-06-17

Total Pages: 458

ISBN-13: 0393340406

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The definitive refutation to the argument of The Bell Curve. When published in 1981, The Mismeasure of Man was immediately hailed as a masterwork, the ringing answer to those who would classify people, rank them according to their supposed genetic gifts and limits. And yet the idea of innate limits—of biology as destiny—dies hard, as witness the attention devoted to The Bell Curve, whose arguments are here so effectively anticipated and thoroughly undermined by Stephen Jay Gould. In this edition Dr. Gould has written a substantial new introduction telling how and why he wrote the book and tracing the subsequent history of the controversy on innateness right through The Bell Curve. Further, he has added five essays on questions of The Bell Curve in particular and on race, racism, and biological determinism in general. These additions strengthen the book's claim to be, as Leo J. Kamin of Princeton University has said, "a major contribution toward deflating pseudo-biological 'explanations' of our present social woes."

Learning Statistics with R
Learning Statistics with R

Author: Daniel Navarro

Publisher: Lulu.com

Published: 2013-01-13

Total Pages: 617

ISBN-13: 1326189727

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"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com