Kamden K. Strunk, Mwarumba Mwavita

Design and Analysis in Quantitative Educational Research (eBook, PDF)

Univariate Designs in SPSS

• Format: PDF

Produktbeschreibung

This book offers a comprehensive exploration of quantitative educational research methods. It begins with foundational concepts, addressing research problem formulation, literature review, and ethical considerations.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 340
• Erscheinungstermin: 22. August 2024
• Englisch
• ISBN-13: 9781040091869
• Artikelnr.: 72271290

Autorenporträt

Kamden K. Strunk is a faculty in the School of Education at Virginia Commonwealth University focused on research methodologies. His research focuses on critical quantitative methodologies, queer and trans studies in education, and equity and justice in education.

Mwarumba Mwavita is the Dean and Professor in the College of Education at Minnesota State University, Mankato. He has taught quantitative methods since 2005. He focuses on interdisciplinary research utilizing General and Generalized Linear Modeling. Specifically, in Education Policy, Underrepresented groups in STEM, Epidemiology, Econometrics, and Program Evaluation.

Inhaltsangabe

Educational Research Basics 1. Basic Issues in Quantitative Educational Research 2. Equity and Justice in Quantitative Educational Research 3. Sampling & Basic Issues in Research Design 4. Basics in Educational Statistics; Null Hypothesis Significance Testing 5. Introducing the Null
Hypothesis Significance Test 6. Comparing a Single Sample to the Population Using the One
sample z
test and One
sample t
test; Between
Subjects Designs 7. Comparing Two Samples Using the Independent Samples t
test 8. Independent Samples t
test Case Studies 9. Comparing more than two means using the one
way ANOVA 10. One
way ANOVA Case Studies 11. Comparing Means Across Two Independent Variables Using the Factorial ANOVA 12. Factorial ANOVA Case Studies; Within
Subjects Designs 13. Comparing Two Points From the Same Sample (Within
subjects Comparison) Using the Paired Samples t
test 14. Paired Samples t
test Case studies 15. Comparing More Than Two Points from Within the Same Sample Using The Within
Subjects ANOVA 16. Within
subjects ANOVA Case Studies 17. Mixed Between
and within
subjects Designs Using the Mixed ANOVA 18. Mixed ANOVA Case Studies; Regression Designs 19. Correlation and Simple Linear Regression 20. Multiple Regression Analysis 21. Multiple Regression Analysis Case Studies