Practical statistics for educators

著者

    • Ravid, Ruth

書誌事項

Practical statistics for educators

Ruth Ravid

Rowman & Littlefield, c2011

4th ed

  • : pbk

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Practical Statistics for Educators, 4th edition focuses on the application of research and statistics as applied specifically to education. Since the first edition came out in 1994, thousands of students in educational statistics courses and their professors have found it to be an excellent textbook. Educational practitioners have also appreciated keeping this book on their reference shelf. Now in its fourth edition, this well-regarded text is a clear and easy-to-follow manual for use in introductory statistics or action research courses. Ruth Ravid concentrates on the essential concepts in educational statistics including when to use various statistical tests and how to interpret the results. Testing and test score interpretation, reliability, and validity are included to help students understand these topics which are essential for practitioners in education. Examples from the field of education are used throughout the book to illustrate the concepts, techniques, and interpretations that are presented in the book.

目次

List of Statistical Symbols Preface Part I. Introduction Chapter 1: An Overview of Educational Research Basic (Pure), Applied, and Action Research Quantitative vs. Qualitative Research Experimental vs. Nonexperimental Research Summary Chapter 2: Basic Concepts in Statistics Variables and Measurement Scales Populations and Samples Parameters and Statistics Methods of Sampling Sample Bias Size of Sample Parametric and Nonparametric Statistics Descriptive and Inferential Statistics Using Hypotheses in Research Probability and Level of Significance Errors in Decision Making Degrees of Freedom Effect Size Using Samples to Estimate Population Values Steps in the Process of Hypothesis Testing And Finally... Summary Part II. Descriptive Statistics Chapter 3: Organizing and Graphing Data Organizing Data Graphing Data Drawing Accurate Graphs Summary Chapter 4: Measures of Central Tendency Mode Median Mean Comparing the Mode, Median, and Mean Summary Chapter 5: Measures of Variability The Range Standard Deviation and Variance Summary Part III. The Normal Curve and Standard Scores Chapter 6: The Normal Curve and Standard Scores The Normal Curve Standard Scores Summary Chapter 7: Interpreting Test Scores Norm-Referenced Tests Criterion-Referenced Tests Summary Part IV. Measuring Relationships Chapter 8: Correlation Pearson Product Moment Factors Affecting the Correlation The Coefficient of Determination and Effect Size Intercorrelation Tables Correlation Tables Summary Chapter 9: Prediction and Regression Simple Regression Multiple Regression Summary Part V. Inferential Statistics Chapter 10: t test Hypotheses for t Tests Independent-Samples t Test An Example of a t Test for Independent Samples t Test for Paired Samples An Example of a t Test for Paired Samples t Test for a Single Sample An Example of a t Test for a Single Sample Summary Chapter 11: Analysis of Variance One-Way ANOVA Conceptualizing the One-Way ANOVA Hypotheses for a One-Way ANOVA The ANOVA Summary Table Further Interpretation of the F Ratio An Example of a One-Way ANOVA Post Hoc Comparisons Two-Way ANOVA Conceptualizing the Two-Way ANOVA Hypotheses for the Two-Way ANOVA Graphing the Interaction The Two-Way ANOVA Summary Table An Example of a Two-Way ANOVA Summary Chapter 12: Chi Square Test Assumptions for the Chi Square Test The Chi Square Test of Independence Summary Part VI. Reliability and Validity Chapter 13: Reliability Understanding the Theory of Reliability Methods of Assessing Reliability The Standard Error of Measurement Factors Affecting Reliability How High Should the Reliability Be? Summary Chapter 14: Validity Content Validity Criterion-Related Validity Concurrent Validity Predictive Validity Construct Validity Face Validity Assessing Validity Test Bias Summary Part Seven: Conducting Your Own Research Chapter 15: Planning and Conducting Research Studies Research Ethics The Research Proposal Introduction Literature Review Methodology References The Research Report Results Discussion Summary Chapter 16: Choosing the Right Statistical Test Choosing a Statistical Test: A Decision Flowchart Examples Scenarios Answers Glossary Index

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