Design and Analysis in Educational Research
Routledge (Verlag)
978-1-138-36116-4 (ISBN)
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This book presents 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.
Design and Analysis in Educational Research 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, using SPSS for analysis. Designed specifically for an introductory graduate course in research design and statistical analysis, the book takes students through principles by presenting case studies, describing the research design principles at play in each study, and then asking students to walk through the process of analyzing data that reproduce the published results. An online eResource is also available with data sets.
This textbook is tailor-made for first-level doctoral courses in research design and analysis, and will also be of interest to graduate students in education and educational research.
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 the Center for Educational Research and Evaluation (CERE) at Oklahoma State University.
FRONTMATTER:
Acknowledgements
BASIC ISSUES
Basic Issues in Quantitative Educational Research
Sampling & Basic Issues in Research Design
Basic Educational Statistics
NULL HYPOTHESIS SIGNIFICANCE TESTING
Introducing the Null-Hypothesis Significance Test
Comparing a Single Sample to the Population using the one-sample z-test and one-sample t-test
BETWEEN-SUBJECTS DESIGNS
Comparing two samples means: The independent samples t-test
Independent samples t-test Case studies
Comparing more than two means: The one-way ANOVA
One-way ANOVA Case Studies
Comparing means across two independent variables: The factorial ANOVA
Factorial ANOVA Case Studies
WITHIN-SUBJECTS DESIGNS
Comparing two points from the same sample (within-subjects comparison) using the paired samples t-test
Paired samples t-test Case studies
Comparing more than two points from within the same sample: The within-subjects ANOVA
Within-subjects ANOVA case studies
Mixed between- and within-subjects designs using the mixed ANOVA
Mixed ANOVA Case Studies
CONSIDERING EQUITY IN QUANTITATIVE RESEARCH
Quantitative Methods for Social Justice and Equity: Theoretical and practical considerations
APPENDICES
A1 - z Table
A2 - t Table
A3 - F Table
A4 - HSD Table
B1 – Statistical Notation and Formulas
References
| Erscheinungsdatum | 21.04.2020 |
|---|---|
| Zusatzinfo | 51 Tables, black and white; 7 Line drawings, black and white; 110 Halftones, black and white; 117 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 174 x 246 mm |
| Gewicht | 560 g |
| Themenwelt | Sozialwissenschaften ► Pädagogik ► Erwachsenenbildung |
| ISBN-10 | 1-138-36116-X / 113836116X |
| ISBN-13 | 978-1-138-36116-4 / 9781138361164 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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