Using Statistics to Make Educational Decisions
Autor David E. Tanneren Limba Engleză Electronic book text – 24 iun 2013
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 levelled 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.
Using Statistics to Make Educational Decisionsis designed to serve as a primary text for undergraduate and graduate-level introductory statistics courses within the field of education. Concise and accessible, it presents a diverse array of education-specific examples and coverage to illuminate the ways in which educators can use statistics for effective decision-making. The integration of measurement concepts makes this text relevant in an age of standardized testing and offers students a preview of more advanced statistical topics.
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Specificații
ISBN-13: 9781452263892
ISBN-10: 1452263892
Pagini: 552
Dimensiuni: 187 x 232 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
ISBN-10: 1452263892
Pagini: 552
Dimensiuni: 187 x 232 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
Recenzii
“This
text
seems
to
cover
the
basics
of
educational
decision
making.
It
would
make
an
excellent
text
for
a
course
preceding
the
one
I
am
teaching.”
The content is very specific to my design for the course. The book addresses a wide range of prior content affiliation by the student. It reads very well but still provides necessary mathematical rigor for understading the concepts presented...extremely appropriate for most EdD programs and could also function as an excellent transistion from a mathematics, statistical background into the world of research in the social sciences.
The content is very specific to my design for the course. The book addresses a wide range of prior content affiliation by the student. It reads very well but still provides necessary mathematical rigor for understading the concepts presented...extremely appropriate for most EdD programs and could also function as an excellent transistion from a mathematics, statistical background into the world of research in the social sciences.
Cuprins
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®
Appendices: Solutions to Selected Problems
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®
Appendices: Solutions to Selected Problems
Descriere
An
accessible
introduction
to
statistics
written
specifically
for
education
students
in
the
changing
educational
landscape.