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Introduction to Statistics

Introduction to Statistics
Fundamental Concepts and Procedures of Data Analysis

August 2013 | 632 pages | SAGE Publications, Inc

Using a truly accessible and reader-friendly approach, this comprehensive introduction to statistics redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics.

Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks. 

Chapter 1. Introduction
Part I. Descriptive Statistics - Seeing Clearly with Data
Chapter 2. Describing Nominal and Ordinal Data
Chapter 3. Describing Interval and Ratio Data - I
Chapter 4. Describing Interval and Ratio Data - II
Part II. Computer Assisted Statistical Analysis
Chapter 5. Using SPSS
Part III. Inferential Statistics - Thinking Clearly about Data
Chapter 6. The Logic of Inferential Statistics
Chapter 7. Finding Differences with Nominal Data - I
Chapter 8. Finding Differences with Nominal Data - II
Chapter 9. Finding Differences with Interval and Ratio Data - I
Chapter 10. Finding Differences with Interval and Ratio Data - II
Chapter 11. Finding Differences with Interval/Ratio Data - III
Chapter 12. Finding Differences with Interval/Ratio Data - IV
Chapter 13. Finding Differences with Interval/Ratio Data - V
Chapter 14. Identifying Associations with Nominal and Interval/Ratio Data
Chapter 15. Identifying Associations with Interval/Ratio Data
Chapter 16. Congratulations - The Big Picture and Next Steps
Appendix I. Kruskal - Wallis H Test
Appendix II. Spearman r Correlation
Appendix III. Multiple Regression
Appendix IV. An Introduction to Power Analysis - Finding Minimum Appropriate Sample Sizes
Appendix V. Statistical Symbols Used in this Book
Appendix VI. Definitional Equations and, Where Appropriate, Their Computational Equation Equivalents
Appendix VII. Inferential Statistical Procedures and Their Measures of Effect Size
Appendix VIII. Glossary of Terms
Appendix IX. Answers to Chapter Problems
Appendix X. Statistical Tables
Appendix XI. Overview Table for the Book

“The non-traditional, but student friendly way of organizing the statistical tests will help students to better grasp the material. If instructors teach computer data analysis (SPSS) with their statistics course, then this book would be good for both.” 

                                                                                                                                                                                    —Ngoc H. Bui, University of La Verne

Ngoc H. Bui
University of La Verne

“The major strength this text possesses is the approach in explaining and demonstrating the statistical concepts and applications.”

                                                                                                                            —Elizabeth Kudadjie-Gyamfi, Long Island University, Brooklyn

Elizabeth Kudadjie-Gyamfi
Long Island University, Brooklyn

Covers material in easy to understand format

cost to students

supplimental resources for faculty and students

Dr Diane Cooper
Counseling Human Dev Dept, University Of Georgia
June 2, 2015

I did not use this book as a primary text, but did include it in my syllabus as a recommended text for my students. My students usually want to do qualitative research, so this was not as well suited for my classes.

Dr Susan Seay
Curriculum Instruction Dept, Univ Of Alabama At Birmingham
August 1, 2014

A little too specific for this course.

Dr Noble Corey
Curr Inst Media Tech Dept, Indiana State University
July 12, 2014

Good and easy to follow. Good for students to read from year 2 and implement at final year. If this book can incorporate, several worked examples from nutrition research, public health and sports sciences that would be great.

Dr Swrajit Sarkar
Sports Science, University of Central Lancashire
May 21, 2014

This book, based on SPSS, links theory to practice when applied to a course like Psychology.

Professor Alzira Dinis
Faculty of Science and Technology, Fernando Pessoa University
May 6, 2014

I would have liked more instructor's resources with different examples of problems. Students get bored when you work out the same examples that are in their text.
Additionally, I am looking for a statistics book that incorporates some experiments that draw from the field of neuroscience, rather than pure psychology. We teach this class to both psych and neuro majors, and its been very difficult to find data sets using animal models/neuroscience questions.

Dr Clarissa Parker
Psychology Dept, Middlebury College
March 20, 2014

My hope is that the engaging writing style will make this a text that my students will read.

I have adopted for both summer & fall of 2014. I'm pretty sure I've already ordered ancillaries (but please check). Thanks.

Dr Dave Roach
Business Economics Dept, Arkansas Tech University
March 7, 2014

Useful for those students who require statistical analysis for their projects.

Mr Owen Lewis
Swansea Business School, Swansea Metropolitan University
February 3, 2014

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