Summary
Contents
Subject index
Quantitative Research for the Qualitative Researcher is a concise, supplemental text that provides qualitatively oriented students and researchers with the requisite skills for conducting quantitative research. Throughout the book, authors Laura M. O'Dwyer and James A. Bernauer provide ample support and guidance to prepare readers both cognitively and attitudinally to conduct high quality research in the quantitative tradition. Highlighting the complementary nature of quantitative and qualitative research, they effectively explain the fundamental structure and purposes of design, measurement, and statistics within the framework of a research report, (including a dissertation). The text encourages the reader to see quantitative methodology for what it is, a process for systematically discovering new knowledge that can help describe, explain, and predict the world around us.
Choosing Research Participants and Making Generalizations: Sampling and External Validity
Choosing Research Participants and Making Generalizations: Sampling and External Validity
Chapter Outline
- Sampling: Choosing Participants for Research Studies
- Probability or Random Sampling Procedures
- Non-Probability or Non-Random Sampling Procedures
- Errors Related to Sampling
- The Question of Sample Size: How Big Should a Sample Be?
- External Validity: Making Generalizations to Other Participants and Settings
Researchers conducting studies in the quantitative tradition typically aim to make generalizations to other participants and settings beyond the current study. In research parlance, the process of selecting participants is referred to as sampling, and the capacity to make generalizations to other participants and settings is referred to as external validity. Whether a researcher is conducting an experiment to examine the effect of an intervention or is collecting survey data ...
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