Using statistics to make educational decisions

著者

    • Tanner, David

書誌事項

Using statistics to make educational decisions

David Tanner

Sage, c2012

  • : pbk

大学図書館所蔵 件 / 全3件

この図書・雑誌をさがす

注記

Includes index

内容説明・目次

内容説明

An accessible introduction to statistics written specifically for Education students in the changing educational landscape Government scrutiny and intensified oversight have dramatically changed the landscape of education in recent years. Observers want to know how schools compare, which district is best, which states are spending the most per student on education, whether reforms are making a difference, and why so many students are failing. Some of these questions require technical answers that educators historically redirected to outside experts, but the questions leveled at all educators have become so acute and persistent that they can no longer be outsourced. This text helps educators develop the tools and the conceptual understanding needed to provide definitive answers to difficult statistical questions facing education today.

目次

Part A: Developing a Context for Statistical Analysis Chapter 1: A Context for Solving Quantitative Problems Chapter 2: Describing Data Part B: Presenting Data Chapter 3: Data Distributions: Picturing Data Chapter 4: Working with the Normal Curve: z Scores Part C. Examining Differences Chapter 5: Probability and the Normal Distribution Chapter 6: t for One, or Two Chapter 7: Analysis of Variance Chapter 8: ANOVA with more than One Independent Variable: Factorial ANOVA Chapter 9: Dependent Groups Tests for Interval Data Part D. Association and Prediction Chapter 10: Correlation Chapter 11: Regression with One Predictor Chapter 12: Regression with More than One Predictor Part E. Tests for Nominal and Ordinal Data Chapter 13: Some of the Chi-square Tests Chapter 14: Working with Ordinal, More, or Less-than Data Part F. Tests, Measurement Issues and Selected Advanced Topics Chapter 15: Testing Issues Chapter 16: A Brief Introduction to Selected Advanced Topics Glossary Appendices: Tables of Critical Values Appendices: A Primer in SPSS (R) Appendices: Solutions to Selected Problems

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