Design and Analysis in Educational Research Using jamovi

ANOVA Designs
1. Auflage 2021
ISBN: 978-0-367-72308-8
Verlag: Routledge

Buch, Englisch, 302 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 545 g

Design and Analysis in Educational Research Using jamovi is an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research.

Based on their successful SPSS version of the book, the authors focus on using jamovi in this version due to its accessibility as open source software, and ease of use. The book teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA.

This textbook is tailor-made for first-level doctoral courses in research design and analysis. It will also be of interest to graduate students in education and educational research. The book includes Support Material with downloadable data sets, and new case study material from the authors for teaching on race, racism, and Black Lives Matter, available at www.routledge.com/9780367723088.

Autoren/Hrsg.

Strunk, Kamden K.

Mwavita, Mwarumba

Fachgebiete

• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

PART 1. BASIC ISSUES 1. Basic Issues in Quantitative Educational Research 2. Sampling & Basic Issues in Research Design 3. Basic Educational Statistics; PART 2. NULL HYPOTHESIS SIGNIFICANCE TESTING 4. Introducing the Null-Hypothesis Significance Test 5. Comparing a Single Sample to the Population using the one-sample z-test and one-sample t-test; PART 3. BETWEEN-SUBJECTS DESIGNS 6. Comparing Two Samples Means: The Independent Samples t-test 7. Independent Samples t-test Case Studies 8. Comparing More Than Two Means Using the One-Way ANOVA 9. One-way ANOVA Case Studies 10. Comparing Means Across Two Independent Variables: The Factorial ANOVA 11. Factorial ANOVA Case Studies; PART 4. WITHIN-SUBJECTS DESIGNS 12. Comparing Two Within-Subjects Scores using the Paired Samples t-test 13. Paired Samples t-test Case Studies 14. Comparing More than Two Points from Within the Same Sample: The Within-Subjects ANOVA 15. Within-Subjects ANOVA Case Studies 16. Mixed Between- and Within-Subjects Designs using the Mixed ANOVA 17. Mixed ANOVA Case Studies; PART 5. CONSIDERING EQUITY IN QUANTITATIVE RESEARCH 18. Quantitative Methods for Social Justice and Equity

Über Autor(innen)

Kamden K. Strunk is an Associate Professor of Educational Research at Auburn University, where he primarily teaches quantitative methods. His research focuses on intersections of racial, sexual, and gender identities, especially in higher education. He is also a faculty affiliate of the Critical Studies Working Group at Auburn University.

Mwarumba Mwavita is an Associate Professor of Research, Evaluation, Measurement, and Statistics at Oklahoma State University where he teaches quantitative methods. He is also the founding Director of Center for Educational Research and Evaluation (CERE) at Oklahoma State University.