Practical Statistics for Educators, Seventh Edition, is a clear and easy-to follow book written specifically for education students in introductory statistics and action research courses. It is also an invaluable resource and guidebook for educational practitioners who wish to study their own settings and for those involved in program evaluation. The book's focus is on essential concepts in educational statistics, understanding when to use various statistical tests, and learning how to interpret results. This book introduces education students and practitioners to the use of parametric and…mehr
Practical Statistics for Educators, Seventh Edition, is a clear and easy-to follow book written specifically for education students in introductory statistics and action research courses. It is also an invaluable resource and guidebook for educational practitioners who wish to study their own settings and for those involved in program evaluation. The book's focus is on essential concepts in educational statistics, understanding when to use various statistical tests, and learning how to interpret results. This book introduces education students and practitioners to the use of parametric and nonparametric statistics in education, and basic concepts in statistics are explained in clear language. Formulas and equations are used sparingly, and readers are not required to do any computations. The book also includes a discussion of testing, test score interpretation, reliability, and validity. A chapter on survey design and analysis provides readers with examples that demonstrate how the different statistical tests introduced in the book can be used to analyze survey data. An extensive study guide at the end of the book provides an opportunity to review all the information that was presented in the book; the guide includes an answer key with a clear explanation of each correct answer. Throughout this text, examples taken from the field of education serve to illustrate the various concepts, terms, statistical tests, and data interpretations.
Ruth Ravid, PhD, is professor emerita of education at National Louis University. Her areas of interest include action research, educational assessment, and school-university collaboration. Ravid is the coauthor of several books including Action Research in Education: A Practical Guide, Second Edition (with S. E. Efron, 2020); Writing the Literature Review: A Practical Guide (with S. E. Efron, 2019); and Practical Statistics for Business: An Introduction to Business Statistics (with P. Haan, 2008). Ravid has coedited a number of books including Building and Maintaining Collaborative Communities (with J. J. Slater and R. M. Reardon, 2016); Collaboration in Education (with J. J. Slater, 2010); and The Many Faces of School University Collaboration: Characteristics of Successful Partnerships (with M. G. Handler, 2001).
Inhaltsangabe
Table of Contents Section I: INTRODUCTION Chapter 1: An Overview of Educational Research Chapter 2: Basic Concepts in Statistics Section: 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 Section III: MEASURING RELATIONSHIPS Chapter 7: Correlation Chapter 8: Prediction and Regression Section IV: Comparing Group Means Chapter 9: t Test Chapter 10: Analysis of Variance Section V: NONPARAMETRIC STATISTICS Chapter 11: Chi Square Test Chapter 12: Other Nonparametric Statistics Section VI: STANDARDIZED TEST SCORES, RELIABILITY, AND VALIDITY Chapter 13: Interpreting Standardized Test Scores Chapter 14: Reliability and Validity Section VII: PUTTING IT ALL TOGETHER Chapter 15: Choosing the Right Statistical Test Chapter 16: Using Statistical Tests to Analyze Survey Data Study Guide Glossary Index
Table of Contents Section I: INTRODUCTION Chapter 1: An Overview of Educational Research Chapter 2: Basic Concepts in Statistics Section: 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 Section III: MEASURING RELATIONSHIPS Chapter 7: Correlation Chapter 8: Prediction and Regression Section IV: Comparing Group Means Chapter 9: t Test Chapter 10: Analysis of Variance Section V: NONPARAMETRIC STATISTICS Chapter 11: Chi Square Test Chapter 12: Other Nonparametric Statistics Section VI: STANDARDIZED TEST SCORES, RELIABILITY, AND VALIDITY Chapter 13: Interpreting Standardized Test Scores Chapter 14: Reliability and Validity Section VII: PUTTING IT ALL TOGETHER Chapter 15: Choosing the Right Statistical Test Chapter 16: Using Statistical Tests to Analyze Survey Data Study Guide Glossary Index
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