Quantitative Research for the Qualitative Researcher is a concise text that provides students who are not predisposed to mathematical or scientific thinking with the needed conceptual and practical understanding of quantitative methodology.
Quantitative Research for the Qualitative Researcher is a concise text that provides students who are not predisposed to mathematical or scientific thinking with the needed conceptual and practical understanding of quantitative methodology.
Laura O¿Dwyer (Ph.D., Boston College) is an Associate Professor in the Department of Educational Research, Measurement, and Evaluation in the Lynch School of Education at Boston College. She teaches courses in applied data analysis (basic to advanced topics), quantitative research methods, survey construction, and experimental design. O'Dwyer¿s research focuses on examining the impact of technology-based interventions on student and teacher outcomes, and on international comparative studies in education. She has conducted several studies that employ randomized experimental designs to examine educational interventions including the effects of online professional development on teaching practices and learning outcomes.
Inhaltsangabe
SECTION I: An Overview of Research in the Social Sciences: Qualitative Meets Quantitative Chapter 1: Understanding the Purpose of Research in the Qualitative and Quantitative Traditions Chapter 2: An Overview of the Qualitative Tradition and Connections to the Quantitative Tradition Chapter 3: Overview of Research in the Quantitative Tradition SECTION II: The Sine Qua Non for Conducting Research in the Quantitative Tradition Chapter 4: Choosing Research Participants and Making Generalizations: Sampling and External Validity Chapter 5: Measurement and Instrumentation in Quantitative Research Chapter 6: Minimizing Alternative Explanations for Research Findings: Internal Validity SECTION III: Research Design and Data Analysis in the Quantitative Tradition Chapter 7: Non-Experimental Research Designs Chapter 8: Experimental Research Designs Chapter 9: Descriptive Analyses for Data Generated by Quantitative Research Chapter 10: Inferential Analyses for Data Generated by Quantitative Research Chapter 11: The Complementary Natures of Quantitative and Qualitative Research
SECTION I: An Overview of Research in the Social Sciences: Qualitative Meets Quantitative Chapter 1: Understanding the Purpose of Research in the Qualitative and Quantitative Traditions Chapter 2: An Overview of the Qualitative Tradition and Connections to the Quantitative Tradition Chapter 3: Overview of Research in the Quantitative Tradition SECTION II: The Sine Qua Non for Conducting Research in the Quantitative Tradition Chapter 4: Choosing Research Participants and Making Generalizations: Sampling and External Validity Chapter 5: Measurement and Instrumentation in Quantitative Research Chapter 6: Minimizing Alternative Explanations for Research Findings: Internal Validity SECTION III: Research Design and Data Analysis in the Quantitative Tradition Chapter 7: Non-Experimental Research Designs Chapter 8: Experimental Research Designs Chapter 9: Descriptive Analyses for Data Generated by Quantitative Research Chapter 10: Inferential Analyses for Data Generated by Quantitative Research Chapter 11: The Complementary Natures of Quantitative and Qualitative Research
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