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Higher Education Policy Analysis Usi...
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Titus, Marvin.
Higher Education Policy Analysis Using Quantitative Techniques = Data, Methods and Presentation /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Higher Education Policy Analysis Using Quantitative Techniques / by Marvin Titus.
Reminder of title:
Data, Methods and Presentation /
Author:
Titus, Marvin.
Description:
XI, 243 p. 35 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-3-030-60831-6
ISBN:
9783030608316
Higher Education Policy Analysis Using Quantitative Techniques = Data, Methods and Presentation /
Titus, Marvin.
Higher Education Policy Analysis Using Quantitative Techniques
Data, Methods and Presentation /[electronic resource] :by Marvin Titus. - 1st ed. 2021. - XI, 243 p. 35 illus.online resource. - Quantitative Methods in the Humanities and Social Sciences,2199-0964. - Quantitative Methods in the Humanities and Social Sciences,.
1. Introduction -- 2. Asking and answering policy questions -- 3. Identifying data sources and creating custom datasets -- 4. Managing data -- 5. Getting to know “thy” data -- 6. Using descriptive statistics and graphs -- 7. Introducing intermediate statistical methods -- 8. Introducing advanced statistical methods -- 9. Presenting the analysis to higher education policy makers -- 10. Conclusion.
This textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis. It also serves as a methodological guide to students, practitioners, and researchers who want a clear approach to conducting higher education policy analysis that involves the use of institutional- and state-level secondary data and quantitative methods ranging from descriptive to advanced statistical techniques. This book is unique in that it introduces readers to various types of data sources and quantitative methods utilized in policy research and in that it demonstrates how results of statistical analyses should be presented to higher education policy makers. It helps to bridge the gap between researchers, policy makers, and practitioners both within education policy and between other fields. Coverage includes identifying pertinent data sources, the creation and management of customized data sets, teaching beginning and advanced statistical methods and analyses, and the presentation of analyses for different audiences (including higher education policy makers).
ISBN: 9783030608316
Standard No.: 10.1007/978-3-030-60831-6doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Higher Education Policy Analysis Using Quantitative Techniques = Data, Methods and Presentation /
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1. Introduction -- 2. Asking and answering policy questions -- 3. Identifying data sources and creating custom datasets -- 4. Managing data -- 5. Getting to know “thy” data -- 6. Using descriptive statistics and graphs -- 7. Introducing intermediate statistical methods -- 8. Introducing advanced statistical methods -- 9. Presenting the analysis to higher education policy makers -- 10. Conclusion.
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This textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis. It also serves as a methodological guide to students, practitioners, and researchers who want a clear approach to conducting higher education policy analysis that involves the use of institutional- and state-level secondary data and quantitative methods ranging from descriptive to advanced statistical techniques. This book is unique in that it introduces readers to various types of data sources and quantitative methods utilized in policy research and in that it demonstrates how results of statistical analyses should be presented to higher education policy makers. It helps to bridge the gap between researchers, policy makers, and practitioners both within education policy and between other fields. Coverage includes identifying pertinent data sources, the creation and management of customized data sets, teaching beginning and advanced statistical methods and analyses, and the presentation of analyses for different audiences (including higher education policy makers).
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