LibGuides: M Ed on Educational Leadership and School Improvement (ELSI): ELSI6: Leading data systems for school improvement

Books

Data Analysis for Continuous School Improvement by Victoria Bernhardt; Victoria L. Bernhardt
Call Number: LB1028.46 .B47 2013
ISBN: 9781596672529
Publication Date: 2013-05-17
Data Analysis for Continuous School Improvement, Third Edition, is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framework that will result in improving teaching for every teacher, and learning for every student, through the comprehensive use of data. It provides a new definition of improvement, away from a singular focus on compliance, toward a true commitment to excellence. This Third Edition is the culmination of over 25 years of doing the hard work in schools and districts, both nationally and internationally, to analyze, report, communicate, and use multiple measures of data for continuous school improvement. This book provides new and very specific tools, timelines, and strategies that will help schools and districts become true learning organizations.
Practical Statistics for Educators by Ruth Ravid
ISBN: 9781475846829
Publication Date: 2020-01-02
Practical Statistic for Educators, 6th Edition is a clear and easy-to-follow book written specifically for education students in introductory statistics and action research courses. It is also an invaluable resource and guidebook for educational practitioners who wish to study their own settings and for those involved in program evaluation. The focus of the book is on essential concepts in educational statistics, understanding when to use various statistical tests, and how to interpret results. This book introduces educational students and practitioners to the use of statistics in education and basic concepts in statistics are explained in clear language. All of the examples used to explain the use of statistics in educational research are taken from the field of education and serve to illustrate the various concepts, terms, statistical tests, and data interpretations that are discussed in the book. Formulas and equations are used sparingly and readers are not required to do any computations. The book also includes a discussion of testing, test score interpretation, reliability, and validity. A chapter on survey design and analysis provide the book readers with examples which demonstrate how the different statistical tests introduced in the book can be used to analyzed survey data. Chapter previews are provided, as well as succinct end-of-chapter summaries. The book's glossary of main terms and concepts helps readers navigate the book and easily find useful information. Review exercises are included at the end of the book to allow readers to practice and apply their newly-acquired knowledge and skills.
Schools and data : the educator's guide for using data to improve decision making / Theodore B. Creighton. by Theodore B. Creighton.
ISBN: 9781452238432
The role of data analysis in the lives of school leaders -- Getting started -- Collecting and organizing data -- Correlation : my GRE scores not good enough for Harvard! -- Introduction to regression -- Formulating research questions and comparison of means -- Independent samples t test -- Analysis of variance : the difference between two or more sample means -- Analysis of variance : repeated measures -- Two-way analysis of variance : two independent variables -- What if no mean scores? the chi-square test for goodness of fit -- The other "Q" -- Putting it all together : an evidence-based practice field.
Data Analysis with SPSS Software : Data Types, Graphs, and Measurement Tendencies
ISBN: 9781606508954
Building on the tools and techniques found in the popular statistics computer program, SPSS, this series of six books introduces the reader to the concepts of data, their categorical types, how data can be organized and manipulated, and how they can be put to practical use in solving everyday problems in science, business and technology. This first of 6 books introduces the basic tenets of statistics, as well as some of the principles of probability, and their relation to how data is gathered, measured and interpreted. Worked out exercises help to clarify the principles explained in the book

Course Resources

Week 1

Required Reading

Bernhardt, V. L. (2018). Data analysis for continuous school improvement (4th ed.). Routledge. (Chapters 1& 2)

Schildkamp, K., Poortman, C., Luyten, H., & Ebbeler, J. (2017). Factors promoting and hindering data-based decision making in schools. School effectiveness and school improvement, 28(2), 242-258. https://doi.org/10.1080/09243453.2016.1256901

Recommended Reading

Lasater, K., Albiladi, W. S., Davis, W. S., & Bengtson, E. (2020). The data culture continuum: An examination of school data cultures. Educational Administration Quarterly, 56(4), 533-569. https://doi.org/10.1177/0013161X19873034

Week 2

Required Reading

Bernhardt, V. L. (2018). Data analysis for continuous school improvement (4th ed.). Routledge. (Chapters 3& 4)

Recommended Reading

Sandoval, M., & Messiou, K. (2022). Students as researchers for promoting school improvement and inclusion: A review of studies. International Journal of Inclusive Education, 26(8), 780-795. https://doi.org/10.1080/13603116.2020.1730456

Schneider, J., Jacobsen, R., White, R. S., & Gehlbach, H. (2018). The (mis) measure of schools: How data affect stakeholder knowledge and perceptions of quality. Teachers College Record, 120(5), 1-40. https://doi.org/10.1177/016146811812000507

Week 3

Required Reading

Bernhardt, V. L. (2018). Data analysis for continuous school improvement (4th ed.). Routledge. (Chapters 5& 6)
Schildkamp, K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational research, 61(3), 257- 273. https://doi.org/10.1080/00131881.2019.1625716

Recommended Reading

Starkey, L., & Eppel, E. (2019). Digital data in New Zealand schools: Policy reform and school leadership. Educational management administration & leadership, 47(4), 640-658.https://doi.org/10.1177/1741143217745881

Week 4

Required Reading

Bernhardt, V. L. (2018). Data analysis for continuous school improvement (4th ed.). Routledge. (Chapters 7 & 8)
Ravid, R. (2020). Practical statistics for educators (6th ed.). Rowman & Littlefield Publishers. (Chapters 2,3,4)

Recommended Reading

Meyers, C. V., & VanGronigen, B. A. (2020). Planning for what? An analysis of root cause quality and content in school improvement plans. Journal of Educational Administration, 59(4), 437-453. https://doi.org/10.1108/JEA-07-2020-0156

Week 5

Required Reading

Ravid, R. (2020). Practical statistics for educators (6th ed.). Rowman & Littlefield Publishers. (Chapters 5&6)

Recommended Reading

Creighton, T. B. (2007). Schools and data: The educator′ s guide for using data to improve decision making (2nd ed.). Corwin Press. (Chapters 1,2 &3)
Davis, S., & Davis, E. (2016). Data analysis with SPSS software: Data types, graphs, and measurement tendencies. Momentum Press. (Chapters 3, 4 & 5).

Week 6

Required Reading

Ravid, R. (2020). Practical statistics for educators (6th ed.). Rowman & Littlefield Publishers. (Chapters 7& 8)

Recommended Reading

Creighton, T. B. (2007). Schools and data: The educator′ s guide for using data to improve decision making (2nd ed.). Corwin Press. (Chapter 4 & 5)
Huck, S. W. (2012). Reading statistics and research (6th ed.). Pearson. (Chapters 3, 9, 16)

Week 7

Required Reading

Ravid, R. (2020). Practical statistics for educators (6th ed.). Rowman & Littlefield Publishers. (Chapter 9)

Practical statistics for educators - chapter 9

Huck, S. W. (2012). Reading statistics and research (6th ed.). Pearson. (Chapter 10)

Recommended Reading

Creighton, T. B. (2007). Schools and data: The educator′ s guide for using data to improve decision making (2nd ed.). Corwin Press. (Chapters 6 & 7

Week 8

Required Reading

Ravid, R. (2020). Practical statistics for educators (6th ed.). Rowman & Littlefield Publishers. (Chapter 10)

Practical statistics for educators - chapter 10

Huck, S. W. (2012). Reading statistics and research (6th ed.). Pearson. (Chapters 11, 12, 13, 14)

Recommended Reading

Creighton, T. B. (2007). Schools and data: The educator′ s guide for using data to improve decision making (2nd ed.). Corwin Press. (Chapter 8, 9 & 11)

Week 9

Required Reading

Ravid, R. (2020). Practical statistics for educators (6th ed.). Rowman & Littlefield Publishers. (Chapters 11)

Practical statistics for educators - chapter 11

Recommended Reading

Creighton, T. B. (2007). Schools and data: The educator′ s guide for using data to improve decision making (2nd ed.). Corwin Press. (Chapter 11 & 12)

Week 10

Required Reading

Ravid, R. (2020). Practical statistics for educators (6th ed.). Rowman & Littlefield Publishers. (Chapters 15)

Practical statistics for educators - chapter 15

Hakimi, L., Eynon, R., & Murphy, V. A. (2021). The ethics of using digital trace data in education: A thematic review of the research landscape. Review of educational research, 91(5), 671-717. https://doi.org/10.3102/00346543211020116

Recommended Reading

Creighton, T. B. (2007). Schools and data: The educator′ s guide for using data to improve decision making (2nd ed.). Corwin Press. (Chapter 13)

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

M Ed on Educational Leadership and School Improvement (ELSI): ELSI6: Leading data systems for school improvement

Course Description

Books

Course Resources