Schools and Data : The Educator's Guide for Using Data to Improve Decision Making

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ISBN: 9781412937320 | 1412937329
Cover: Hardcover
Copyright: 7/11/2006

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This reader-friendly second edition provides step-by-step procedures for using data to facilitate effective decision making and focuses on strengthening educators' problem analysis and data interpretation skills.

Preface

Acknowledgments

xvii

About the Authors

xix

1. The Role of Data Analysis in the Lives of School Leaders

(7)

What Is This Thing Called Statistics?

(1)

What Are SPSS and Excel?

(1)

The Rationale for Using Data to Improve Decision Making in Our Schools

(1)

So, What's the Problem?

(1)

The Use of Statistics in the Classroom: A Case Study

(2)

Application Activities

(1)

2. Getting Started

(11)

What Is Data-Driven Decision Making?

(1)

Introduction to Excel and SPSS

(3)

Let's Try an Example

(2)

Conclusion

(1)

Application Activity

(1)

About the NCLB Activities

(2)

3. Collecting and Organizing Data

(13)

Why SPSS and Microsoft Excel?

(1)

OK, Let's Give It a Go!

(1)

Frequency Distribution

(2)

Cross-Tabulation

(1)

Measures of Central Tendency

(4)

Measures of Variability

(2)

Conclusion

(1)

Application Activities

(1)

NCLB Activity

(1)

4. Correlation: My GRE Score Is Not Good Enough for Harvard!

(18)

Why Would Educators Be Interested in Correlations?

(1)

A School Music Program: A Case Study

(6)

Other Data-Driven Decision Making

(1)

Conclusion

(3)

Application Activities

(1)

NCLB Activity

(1)

5. Introduction to Regression

(14)

Simple Regression

(9)

Conclusion

(1)

Application Activity

(1)

NCLB Activity

(1)

6. Formulating Research Questions and the Comparison of Means

(17)

Hypothesis Testing and Formulating Research Questions

(3)

Z Scores

(7)

The t Statistic

(2)

One-Sample t Test: An Example

(2)

Conclusion

(1)

Application Activity

(1)

NCLB Activity

(1)

7. The Independent-Samples t Test

(21)

A Try at Conceptual Understanding

(12)

Using SPSS and Excel for Testing Independent Samples

(3)

OK, Your Turn Now

(2)

Conclusion

(2)

Application Activity

100

(1)

NCLB Activity

101

(1)

8. Analysis of Variance: The Difference Between Two or More Sample Means

102

(13)

Advantages of ANOVA Over t Tests

103

(1)

Using the Analysis of Variance

104

(7)

Post Hoc Tests

111

(2)

Conclusion

113

(1)

Application Activity

113

(1)

NCLB Activity

114

(1)

9. Analysis of Variance: Repeated Measures

115

(12)

Let's Get Right to an Example

115

(7)

One More Question: Where Does the Difference Lie?

122

(2)

Conclusion

124

(1)

Application Activity

125

(1)

NCLB Activity

126

(1)

10. Two-Way Analysis of Variance: Two Independent Variables

127

(10)

Working With Two Independent Variables

127

(7)

Conclusion

134

(1)

Application Activity

135

(1)

NCLB Activity

135

(2)

11. What If No Mean Scores? The Chi-Square Test for Goodness of Fit

137

(11)

The Chi-Square Formula

139

(2)

OK, Let's Practice With a Real-Life Example

141

(1)

You're Still With Me? Let's Get Back to the Cafeteria

142

(2)

Oops! Let's Check Power and Effect Size

144

(1)

Communication of Statistics

145

(1)

Conclusion

146

(1)

Application Activity

147

(1)

NCLB Activity

147

(1)

12. The Other "Q"

148

(7)

Getting at the Definition of Qualitative

149

(1)

OK, but How About a Real-Life Example?

149

(3)

Conclusion

152

(1)

Application Activity

153

(1)

NCLB Activity

153

(2)

13. Putting It All Together: An Evidence-Based Practice Field

155

(24)

Why the Change to Evidence-Based Decision Making?

156

(1)

Practice and Performance Fields

157

(2)

An Evidence-Based Practice Field

159

(17)

Conclusion

176

(3)

Resource A. Music Correlation

179

(1)

Resource B. The t Distribution Table

180

(2)

Resource C. The F Distribution Table

182

(2)

Resource D. The Chi-Square Distribution Table

184

(2)

Resource E. Horizon High School Data

186

(5)

References

191

(2)

Index

193

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Schools and Data : The Educator's Guide for Using Data to Improve Decision Making

Summary

Table of Contents

Supplemental Materials