Using Statistics to Make Educational Decisions
(Sprache: Englisch)
This is 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...
Government scrutiny and intensified oversight have dramatically changed the landscape of...
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Klappentext zu „Using Statistics to Make Educational Decisions “
This is 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 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 Decisions is 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.
Inhaltsverzeichnis zu „Using Statistics to Make Educational Decisions “
Part A: Developing a Context for Statistical AnalysisChapter 1: A Context for Solving Quantitative ProblemsChapter 2: Describing DataPart B: Presenting DataChapter 3: Data Distributions: Picturing DataChapter 4: Working with the Normal Curve: z ScoresPart C. Examining DifferencesChapter 5: Probability and the Normal DistributionChapter 6: t for One, or TwoChapter 7: Analysis of VarianceChapter 8: ANOVA with more than One Independent Variable: Factorial ANOVAChapter 9: Dependent Groups Tests for Interval DataPart D. Association and PredictionChapter 10: CorrelationChapter 11: Regression with One PredictorChapter 12: Regression with More than One PredictorPart E. Tests for Nominal and Ordinal DataChapter 13: Some of the Chi-square TestsChapter 14: Working with Ordinal, More, or Less-than DataPart F. Tests, Measurement Issues and Selected Advanced TopicsChapter 15: Testing IssuesChapter 16: A Brief Introduction to Selected Advanced TopicsGlossaryAppendices: Tables of Critical ValuesAppendices: A Primer in SPSS®Appendices: Solutions to Selected Problems
Autoren-Porträt von David E. Tanner
David Tanner is a Professor in the Department of Educational Research and Administration at California State University, Fresno, where he was the Department Chair from 1990-1995. He received his Ph.D. in Curriculum and Instruction/Measurement from Texas A&M University, and his areas of interest include educational psychology; statistics and measurement; educational research; quantitative and qualitative evaluation; assessing student achievement; evaluating classroom assessment instruments; and evaluating the performance of teachers and teacher candidates. He has authored several journal articles and the textbook Assessing Academic Achievement (©2001).
Bibliographische Angaben
- Autor: David E. Tanner
- 2011, 523 Seiten, Maße: 18,8 x 22,9 cm, Kartoniert (TB), Englisch
- Verlag: SAGE PUBN
- ISBN-10: 1412969778
- ISBN-13: 9781412969772
Sprache:
Englisch
Rezension zu „Using Statistics to Make Educational Decisions “
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.
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