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Practical Statistics for Educators


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Table of Contents

List of Statistical Symbols Preface PART I. INTRODUCTION Chapter 1: An Overview of Educational Research Chapter 2: Basic Concepts in Statistics PART II. DESCRIBING DISTRIBUTIONS Chapter 3: Organizing and Graphing Data Chapter 4: Measures of Central Tendency Chapter 5: Measures of Variability Chapter 6: The Normal Curve and Standard Scores PART III. MEASURING RELATIONSHIPS Chapter 7: Correlation Chapter 8: Prediction and Regression PART IV. COMPARING GROUP MEANS Chapter 9: t Test Chapter 10: Analysis of Variance PART V: CHI SQUARE TEST Chapter 11: Chi Square Test PART VI. STANDARDIZED TEST SCORES, RELIABILITY, AND VALIDITY Chapter 12: Interpreting Standardized Test Scores Chapter 13: Reliability Chapter 14: Validity PART VII. PUTTING IT ALL TOGETHER Chapter 15: Choosing the Right Statistical Test Chapter 16: Planning and Conducting Your Own Research Studies Chapter 17: Using Statistical Tests to Analyze Survey Data Glossary Index About the Author

About the Author

Ruth Ravid is professor emerita of education at National Louis University.


To the reader who is a researcher, this is your text. To the administrator who needs a quick reference for understanding of statistical material, this is your text. To the doctoral candidate who's writing a dissertation, this is your text. The author makes difficult material understandable...finally! * School Administrator *
A great book for understanding basic statistics and research with practical examples. I highly recommend this book. -- Daniel R. Tomal, Concordia University Chicago; author of Action Research for Educators
A brilliant gem full of practical, hands-on information ripe for the educational researcher's data driven decision needs, this book is the perfect balance of abstract theory and practical example intertwined always with the needs of educators in mind. I use this book in my educational research courses, with program evaluation for non-profits and highly recommend it to faculty teaching statistics or action research. -- Michelle Ann Bakerson, Indiana University South Bend

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