MPU 1024 Mixed Methods.

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Presentation transcript:

MPU 1024 Mixed Methods

Developments (last 30 years) Increasing interest in and advocacy for mixed methods Evolving understanding of what is mixed methods research Developing designs and innovative techniques “The emergence of mixed methods as a third methodological movement in the social and behavioral sciences began during the 1980’s.” (Tashakkori & Teddlie, 2003: 697)

Books on Mixed Methods Research 14+ books on mixed methods research have been written since 1988

Mixed methods is not that different from other methods Identifying a research problem Reviewing the literature Identifying a purpose and stating questions Views of knowledge Assumptions Collecting data Analyzing and interpreting data Reporting and evaluating the study

A Quick Review Quantitative research Qualitative research Deductive approach Objective reality Causal relationships Identify and test hypotheses Random selection of participants Qualitative research Inductive approach Participant’s perspectives Describing and understanding relationships Emerging questions Purposive sampling

Definition and Purpose Mixed methods research A style of research that uses procedures for conducting research that are typically applied in both quantitative and qualitative studies The purpose of these designs is to build upon the synergy and strength that exists between quantitative and qualitative methods in order to more fully understand a given phenomenon than is possible using either quantitative or qualitative methods alone

Definition and Purpose Mixed methods research The research problem itself determines the choice of a design Using surveys to identify specific groups of students and conducting focus groups with them to understand their views A series of interviews are conducted to ascertain the critical issues bothering students, and a survey of the student body is conducted using these issues as variables

Three Types of Designs Three characteristics that differentiate types of mixed methods designs The priority given to either the quantitative or qualitative data collection The sequence of collecting quantitative or qualitative data The data analysis techniques used to either combine the analysis of data or keep the two types of data separate

Three Types of Designs Three common designs QUAL-Quan Model The exploratory mixed methods design Qualitative data are collected first and are more heavily weighted QUAN-Qual Model The explanatory mixed methods design Quantitative data are collected first and are more heavily weighted QUAN-QUAL Model The triangulation mixed methods design Quantitative and qualitative data are collected concurrently and both are weighted equally

Before-intervention qual After-intervention qual Sequential Designs Mixed Methods Designs Explanatory Design QUAN Data & Results Interpretation qual Data & Results Following up Exploratory Design QUAL Data & Results quan Data & Results Interpretation Building to Sequential Embedded Design Before-intervention qual QUAN Intervention Trial After-intervention qual Interpretation

Concurrent Mixed Methods Designs Triangulation Design QUAN Data & Results Interpretation QUAL Data & Results Embedded Design QUAN Pre-test Data & Results QUAN Post-test Data & Results Intervention qual Process Interpretation

Ten Characteristics of Mixed Methods Designs The researcher describes the kinds of mixed methods being used The data collection section indicates narrative, numerical, or both types of data are being collected The purpose statement or the research questions indicate the types of methods being used Questions are stated and described for both quantitative and qualitative approaches

Ten Characteristics of Mixed Methods Designs The researcher indicates the sequencing of collecting qualitative and/or quantitative data (i.e., QUAN-Qual, QUAL-Quan, or QUAN- QUAL) The researcher describes both quantitative and qualitative data analysis strategies The writing is balanced in terms of quantitative and qualitative approaches