Design and Analysis in Educational Research Using Jamovi ANOVA Designs 1st edition by Kamden Strunk, Mwarumba Mwavita 9781000414127 1000414124

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ISBN 10: 1000414124
ISBN 13: 9781000414127 
Author: Kamden K. Strunk; Mwarumba Mwavita

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

Design and Analysis in Educational Research Using Jamovi ANOVA Designs 1st Table of contents:

Part I: Basic Issues

Chapter 1: Basic Issues in Quantitative Educational Research

• Research problems and questions
• Reviewing the literature relevant to a research question
• Types of research methods
• Overview of ethical issues in human research
• Conclusion

Chapter 2: Sampling and Basic Issues in Research Design

• Sampling strategies and bias
• Generalizability and levels of measurement
• Basic issues in research design and measurement concepts
• Conclusion

Chapter 3: Basic Educational Statistics

• Central tendency and variability
• Visual displays of data
• Normal distribution and standard scores
• Statistical calculations in jamovi
• Conclusion

Part II: Null Hypothesis Significance Testing

Chapter 4: Introducing the Null Hypothesis Significance Test (NHST)

• Variables, hypotheses, and probability theory
• Sampling distributions and the logic of NHST
• Errors and limitations of NHST
• Notes

Chapter 5: Comparing a Single Sample to the Population Using the One-Sample Z-Test and One-Sample t-Test

• Design considerations, assumptions, and calculations
• Effect size and result interpretation
• Conclusion

Part III: Between-Subjects Designs

Chapter 6: Comparing Two Sample Means: The Independent Samples t-Test

• Assumptions and variance considerations
• Calculations, effect size, and interpretation
• Computing and writing results in jamovi
• Notes

Chapter 7: Independent Samples t-Test Case Studies

• Case studies on explanations and implicit bias analysis
• Research questions, hypotheses, and analysis

Chapter 8: Comparing More Than Two Sample Means: The One-Way ANOVA

• Research design, assumptions, and calculations
• Effect size, post-hoc tests, and planned contrasts
• Computing and writing results in jamovi

Chapter 9: One-Way ANOVA Case Studies

• Case studies on academic success and testing outcomes

Chapter 10: Comparing Means Across Two Independent Variables: The Factorial ANOVA

• Interactions, assumptions, and simple effects analysis
• Calculations, effect size, and interpretation in jamovi
• Writing results
• Note

Chapter 11: Factorial ANOVA Case Studies

• Case studies on LGBTQ youth and social participation

Part IV: Within-Subjects Designs

Chapter 12: Comparing Two Within-Subjects Scores Using the Paired Samples t-Test

• Research design, assumptions, and calculations
• Effect size and interpretation in jamovi

Chapter 13: Paired Samples t-Test Case Studies

• Case studies on guided inquiry and social statistics learning

Chapter 14: Comparing More Than Two Points From Within the Same Sample: The Within-Subjects ANOVA

• Research design, sphericity, and variance partitioning
• Effect size and pairwise comparisons
• Computing and writing results in jamovi

Chapter 15: Within-Subjects ANOVA Case Studies

• Case studies on mindfulness and peer mentoring

Chapter 16: Mixed Between- and Within-Subjects Designs Using the Mixed ANOVA

• Interactions, assumptions, and effect size
• Computing, interpreting, and writing results in jamovi
• Notes

Chapter 17: Mixed ANOVA Case Studies

• Case studies on implicit prejudice and suicide prevention

Part V: Considering Equity in Quantitative Research

Chapter 18: Quantitative Methods for Social Justice and Equity

• Theoretical and practical considerations
• Measurement and demographic data issues
• Approaches for equitable quantitative research
• Note

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