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 begines 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
* Independent t-tests
* One way ANOVA and factorial ANOVA
* Correlation
* Bivariate regression
* Chi square
* Multiple regression
Individual chapters are devoted to specific procedures, each
ending with a lab exercise that highlights the importance of that
procedure by posing a research question, examining the question
through its application in Excel and SPSS, and concluding with a
brief research report that outlines key findings drawn from the
results. Real-world examples and data from modern educational
research are used throughout the book, and a related Web site
features additional data sets, examples, and labs, allowing readers
to reinforce their comprehension of the material.
Bridging traditional statistical topics with the latest software
and applications in the field of education, Understanding
Educational Statistics Using Microsoft Excel and SPSS is an
excellent book for courses on educational research methods and
introductory statistics in the social sciences at the
upper-undergraduate and graduate levels. It also serves as a
valuable resource for researchers and practitioners in the fields
of education, psychology, and the social sciences who require a
statistical background to work with data in their everyday
work.
Tabla de materias
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
Sobre el autor
MARTIN LEE ABBOTT, Ph D, 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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