Mixed method design: principles and procedures
The use of mixed methods designs for conducting research has become a major trend in social science research. Renowned methodological experts Janice Morse and Linda Niehaus present a guide to intermediate and experienced researchers on the possibilities inherent in mixed method research. They offer the basic principles of conducting this kind of study, then examine a wide variety of design options available to the researcher, including their strengths and weaknesses and when to use them. Providing examples from a variety of disciplines, examining potential threats to validity, and showing the relationship between method and theory, the book will be a valuable addition to the methodologist’s library and a useful text in courses in research design.
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Contents List of Illustrations
List of Illustrations
Mixed Method Design Who Needs It?
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analyzed coding complete concepts conducted content analysis core and supplemental core data core method core project core quantitative data collection deductive theoretical drive developed Enhancing description ethnography example focus groups grounded theory identify inductive or deductive integrate maintain validity measure methodological mixed method design mixed method project mixed method research mixed method study Morse multimethod multiple method design multiple method research obtained open-ended questions overall pacing participant observation phenomenological phenomenon point of interface ponent Principle QUAL-quan qualitative and quantitative qualitative core qualitative inquiry qualitative methods qualitative research qualitative sample qualitatively-driven quan component quan data quan deductive QUAN-qual QUAN—>qual quantitative component quantitative core component quantitative data set quantitative study quantitative supplemental component quantitative supplementary component questionnaire random research methods research question responses results narrative semistructured interviews separate sequential mixed method single method supplemental component supplemental project supplementary qual data survey testing textual theoretical thrust tion tive transformed unstructured interviews variables