Mixed-Methods Research Design Slides.pdf

Mixed Methods Research Basics

1. Ar. Zaldy F. Corpuz, MSc

Mixed-
Methods
Research

‘The Third Method
“Multiple Ways of Seeing”

2. Mixed Method (MM) Research

3. Mixed Method (MM) Research

4. Key Features of Mixed Method (MM) Research

5. Characteristics of Mixed Method Research

6. Value of Mixed-Methods of Research

7. Whatis mixed methods research?

8. Dual Nature of MM Research

Mixed Methods
Quantitative Methods Qualitative Methods

pre-det pre-determined and ging methods
emerging methods

instrument-based both open- and closed: open-ended

ques! questions

performance, multiple forms of data

attitud drawing on all document and audio:
observational and possibilities isual data

census data

statistical analysis statistical and text text and image analysis
analysis

statistical across database themes, patterns
interpretation interpretation interpretation

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11. Types of MM Research Designs

1. The Convergent Mixed Methods Design
2. Explanatory Sequential Mixed Methods Design
3. Exploratory Sequential Mixed Methods Design

12. The Convergent Mixed Methods Design

Convergent Design (One-Phase Design)

13. Explanatory Sequential Mixed Methods Design

Explanatory Sequential Design (Two-Phase Design)

14. Exploratory Sequential Mixed Methods Design

Exploratory Sequential Design (Three-Phase Design)

E

15. Complex Mixed Methods Designs

16. Intervention Design

Experiment with an

Qualitative
Intervie

+ Recruit participan

17. Multiple Case Study Design

18. Participatory Action Research Design

19. Advantages and Disadvantages

‘Comprehensive Understanding

Combines qualitative and quantitative data for a richer context and
deeper insights.

Data Triangulation

Cross-validates findings to enhance credibility and reliability
through multiple data sources.

Flexibility
Allows researchers to tailor their approach based on specific study
needs, fostering innovation.
Enhanced Validity

Improves overall validity by providing context for quantitative
results through qualitative insights.

Rich Data Collection

Captures both statistical trends and personal experiences, leading
to thorough exploration of constructs.

Labor-Intensive

Requires significant time and resources for data collection, analysis, and
synthesis,

Integration Challenges

Merging qualitative and quantitative data can be difficult, especially with
conflicting results.

Potential for Bias

Complexity can introduce biases in data collection and interpretation,
requiring careful planning,

Skill Requirements

Researchers need proficiency in both methodologies, which may pose
challenges for those trained primarily in one area.

Conflicting Results

Differing outcomes from qualitative and quantitative analyses can
complicate overall findings interpretation.

20. Checklist for Mixed Methods Research

21. References