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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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