SPSS Basics: Techniques for a First Course in Statistics
SPSS Basics, 7th edition, is the ideal introduction to the SPSS software for students undertaking their first statistics or quantitative research project. Each chapter presents a different analyses and/or graph techniques step by step with figures to correspond to the steps. The book also uses examples and exercises to enable students to apply the techniques learned to their own data.

Each chapter also presents statistical concepts to serve as background knowledge for each analysis. The book also features information unique to SPSS Software to users. SPSS command summary is provided at the end of each chapter for quick reference. Another unique feature is that outputs are discussed extensively to give the reader what the output means, pointing out important information on the outputs. And most importantly, each chapter follows the format of: (1) understanding SPSS Statistics output(s), (2) formatting for research report, (3) and interpreting the SPSS output. This gives the user a thorough understanding of each analysis presented in the book. In some chapters, references are given to a published article to see additional examples.

Because of these unique features, the book can be used as a self-guided manual in hybrid or online courses or as a textbook in an in-person introductory statistics course at undergraduate or graduate levels. For greater conceptual understanding of the analyses covered in the book, refer to Making Sense of Statistics, 8th edition (Routledge, 2023).

New to the 7th edition

  • Chapter objectives at the beginning of each chapter
  • Concise step-by-step instructions for analysis with detailed examples in figures
  • Extensive discussions on understanding the SPSS Statistics output at the end of each chapter
  • A guide to formatting the SPSS Statistics output for a research report for each analysis
  • A discussion on interpreting the SPSS Statistics output at the end of each chapter
  • A guide to statistical information for conceptual understanding of statistics
  • A guide to the SPSS Software Information that discusses the unique features about the SPSS software
  • A guide to SPSS command summary for each analysis
  • This edition includes extensive use of screenshots, all of which have been updated to reflect the new look of the current edition of IBM SPSS Statistics Version 29
1147504869
SPSS Basics: Techniques for a First Course in Statistics
SPSS Basics, 7th edition, is the ideal introduction to the SPSS software for students undertaking their first statistics or quantitative research project. Each chapter presents a different analyses and/or graph techniques step by step with figures to correspond to the steps. The book also uses examples and exercises to enable students to apply the techniques learned to their own data.

Each chapter also presents statistical concepts to serve as background knowledge for each analysis. The book also features information unique to SPSS Software to users. SPSS command summary is provided at the end of each chapter for quick reference. Another unique feature is that outputs are discussed extensively to give the reader what the output means, pointing out important information on the outputs. And most importantly, each chapter follows the format of: (1) understanding SPSS Statistics output(s), (2) formatting for research report, (3) and interpreting the SPSS output. This gives the user a thorough understanding of each analysis presented in the book. In some chapters, references are given to a published article to see additional examples.

Because of these unique features, the book can be used as a self-guided manual in hybrid or online courses or as a textbook in an in-person introductory statistics course at undergraduate or graduate levels. For greater conceptual understanding of the analyses covered in the book, refer to Making Sense of Statistics, 8th edition (Routledge, 2023).

New to the 7th edition

  • Chapter objectives at the beginning of each chapter
  • Concise step-by-step instructions for analysis with detailed examples in figures
  • Extensive discussions on understanding the SPSS Statistics output at the end of each chapter
  • A guide to formatting the SPSS Statistics output for a research report for each analysis
  • A discussion on interpreting the SPSS Statistics output at the end of each chapter
  • A guide to statistical information for conceptual understanding of statistics
  • A guide to the SPSS Software Information that discusses the unique features about the SPSS software
  • A guide to SPSS command summary for each analysis
  • This edition includes extensive use of screenshots, all of which have been updated to reflect the new look of the current edition of IBM SPSS Statistics Version 29
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SPSS Basics: Techniques for a First Course in Statistics

SPSS Basics: Techniques for a First Course in Statistics

by Deborah Mikyo Oh
SPSS Basics: Techniques for a First Course in Statistics

SPSS Basics: Techniques for a First Course in Statistics

by Deborah Mikyo Oh

Paperback(7th ed.)

$69.99 
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Overview

SPSS Basics, 7th edition, is the ideal introduction to the SPSS software for students undertaking their first statistics or quantitative research project. Each chapter presents a different analyses and/or graph techniques step by step with figures to correspond to the steps. The book also uses examples and exercises to enable students to apply the techniques learned to their own data.

Each chapter also presents statistical concepts to serve as background knowledge for each analysis. The book also features information unique to SPSS Software to users. SPSS command summary is provided at the end of each chapter for quick reference. Another unique feature is that outputs are discussed extensively to give the reader what the output means, pointing out important information on the outputs. And most importantly, each chapter follows the format of: (1) understanding SPSS Statistics output(s), (2) formatting for research report, (3) and interpreting the SPSS output. This gives the user a thorough understanding of each analysis presented in the book. In some chapters, references are given to a published article to see additional examples.

Because of these unique features, the book can be used as a self-guided manual in hybrid or online courses or as a textbook in an in-person introductory statistics course at undergraduate or graduate levels. For greater conceptual understanding of the analyses covered in the book, refer to Making Sense of Statistics, 8th edition (Routledge, 2023).

New to the 7th edition

  • Chapter objectives at the beginning of each chapter
  • Concise step-by-step instructions for analysis with detailed examples in figures
  • Extensive discussions on understanding the SPSS Statistics output at the end of each chapter
  • A guide to formatting the SPSS Statistics output for a research report for each analysis
  • A discussion on interpreting the SPSS Statistics output at the end of each chapter
  • A guide to statistical information for conceptual understanding of statistics
  • A guide to the SPSS Software Information that discusses the unique features about the SPSS software
  • A guide to SPSS command summary for each analysis
  • This edition includes extensive use of screenshots, all of which have been updated to reflect the new look of the current edition of IBM SPSS Statistics Version 29

Product Details

ISBN-13: 9781032454375
Publisher: Taylor & Francis
Publication date: 11/10/2025
Edition description: 7th ed.
Pages: 224
Product dimensions: 8.25(w) x 11.00(h) x (d)

About the Author

Deborah Mi Oh is professor in Research Methods and Statistics at California State University, Los Angeles since 1998. She earned her PhD from Columbia University, New York and teaches statistics to a diverse student population in both undergraduate and graduate levels.

Table of Contents

Part I: Descriptive Statistics  1. Levels of Measurement in SPSS Statistics  2. Entering and Saving a Set of Scores (Scale Variable)  3. Frequency Distribution  4. Histogram  5. Frequency Polygon  6. Mean, Median, and Mode: One Group, Two Scale Variables  7. Mean and Standard Deviation: Two or More Groups, One Scale Variable  8. Z-Scores (Standard Scores);  Part II: Correlational Statistics  9. Scattergram  10. Correlation Coefficients: The Pearson r and Spearman’s rho;  Part III: Inferential Statistics  11. Simple Linear Regression  12. Multiple Linear Regression  13. One-Sample t test  14. Paired-Samples t Test  15. Independent-Samples t Test  16. One-Way ANOVA  17. Chi-Square Goodness-of-Fit Test  18. Chi-Square Test of Independence;  Appendix A. Decision Rules for Declaring Statistical Significance  Appendix B. Statistical Information by Chapter  Appendix C. SPSS Software and Formatting Information by Chapter  Appendix D. SPSS Command Summary Information by Chapter  Appendix E. Changing SPSS Statistics Default Settings

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