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Lecture 11

HLTC15 Lecture 11

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Department
Health Studies
Course
HLTC15
Professor
Suzanne Sicchia
Semester
Fall

Description
HLTC15 –Introduction to Quantitative and Qualitative Health Research Methodologies Lecture 11: Mixed Methods & Multidisciplinary Research (Chapter 16 & 17) Tuesday, November 20, 2012 Mixed Methods Research  Common Approaches to Mixed Methods Research  The Value of Multidisciplinary Research  Challenges and Strategies  Case Study What is Mixed Methods Research?  Relatively new approach, emerged in 1980s  A MM design is a procedure for collecting, analyzing, and “mixing” both quantitative and qualitative research and methods in a single study to understand a research problem  Central feature of ethnography and case-study  Research question ALWAYS precedes the design!  To utilize this design effectively, you must understand both quantitative and qualitative research Why Use Mixed Methods Research? Purpose Explanation Triangulation Seeks convergence, corroboration, correspondence of results from different methods Complementarity Seeks elaboration, enhancement, illustration, clarification of the results, from one method with the result from the other method Development Seeks to use the results from one method to help develop or inform the other method where development is broadly constructed to include sampling and implementation, as well as measurement decisions Initiation Seeks the discovery of paradox and contradiction, new perspectives of frameworks, the recasting of questions or results from one method with questions or results from the other method Expansion Seeks to extend the breadth and range of inquiry by using different methods for different inquiry components  Concurrent Design –Both qualitative and quantitative data collected at the same time. Analyses is carried out separately and findings are based on the results of both analyses  Concurrent Triangulation –Integrates both qualitative and quantitative data. Data analyzed at the same time. Data sets are integrated for more complex analysis.  Parallel Designs –Use of both qualitative and quantitative methods that occur at the same time during the process  Sequential Designs –Analysis on one method is used to establish issues for further study. One method usually dominates the analysis Stages of MM Research Process Examples of the Different Approaches  Surveys and FGs data merged and compared  Survey is done first, and then FG is used to follow-up in order to explain the quantitative results  FGs first conducted. Information learned is then used to construct an instrument for f/u with a random sample  Experiment is conducted and qualitative data are collected before the experiment begins and after the experiment has concluded  Longitudinal study, with multiple studies organized to address a single overarching research objective Challenges of MM Research:  Time consuming, costly, complex projects  ***Peer review process often not equipped to assess*** o One method outside the realm
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