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.
Wat mensen zeggen - Een review schrijven
We hebben geen reviews gevonden op de gebruikelijke plaatsen.
Contents List of Illustrations
Roadmap Before You Read This Book
Mixed Method Design Who Needs It?
15 andere gedeelten niet weergegeven
Overige edities - Alles weergeven
according added analysis analyzed answer appropriate asked Chapter characteristics coded collection complete concepts conducted consider consists core component data collection data set deductive described determine developed discussion emerge Enhancing ethnography example Figure findings focus groups grounded theory identify important incorporated indicated inductive inquiry instance integration interviews issues means measure mixed method design mixed method research mixed method study Morse move multiple method narrative necessary notes observations obtained occur overall pacing pain participants phenomenon planned point of interface population possible present Principle proposal qual QUAL->quan qualitative core qualitative methods qualitative research qualitative sample qualitatively-driven QUAN quantitative component quantitative data questionnaire random research program research question responses selected semistructured separate sequential simultaneous single strategies supplemental component supplementary component survey testing theoretical drive tion tive transformed types understanding unstructured usually validity variables write