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Understanding Educational Statistics Using Microsoft Excel and SPSS

  • ID: 1985072
  • August 2011
  • 552 Pages
  • John Wiley and Sons Ltd
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Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences

Mobilizing interesting real–world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class–tested to ensure an accessible presentation, the book combines clear, step–by–step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data.

The book begins with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly employed when working with data across various fields of social science research, including:

Single–sample tests

Repeated measure tests

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Preface xix

Acknowledgments xxi

1 Introduction 1

2 Getting Acquainted with Microsoft Excel1 7

3 Using Statistics in Excel1 17

4 SPSS1 Basics 23

5 Descriptive Statistics Central Tendency 41

6 Descriptive Statistics Variablity 81

7 The Normal Distribution 101

8 The Z Distribution and Probability 127

9 The Nature of Research Design and Inferential Statistics 147

10 The T Test for Single Samples 175

11 Independent–Samples T Test 209

12 Analysis of Variance 257

13 Factorial Anova 307

14 Correlation 337

15 Bivariate Regression 383

16 Introduction to Multiple Linear Regression 429

17 Chi Square and Contingency Table Analysis 453

18 Repeated Measures Procedures: Tdep and ANOVAws 489

References 511

Appendix: Statistical Tables 513

Index 523

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MARTIN LEE ABBOTT, PhD, is Professor of Sociology at Seattle Pacific University, where he also serves as Executive Director of the Washington School Research Center, an independent research and data analysis center funded by the Bill and Melinda Gates Foundation. He has held positions in both academia and in industry, focusing his consulting and teaching in the areas of program evaluation, applied sociology, statistics, and research methods. Dr. Abbott is the author of
The Program Evaluation Prism: Using Statistical Methods to Discover Patterns (Wiley).

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