The document discusses mixed methodology, which strategically combines quantitative and qualitative research methods. It provides examples of different mixed method approaches: explanatory sequential, exploratory sequential, parallel, and nested. The significance is that mixed methods provide a fuller and deeper understanding by presenting a holistic view. While it offers versatility and expands discoveries, mixed methods can be complex and resource-intensive due to the diverse skill sets required.

1. — Don Norman
“ The best kind of design is
not necessarily an object,
a space or a structure: it is
a process – dynamic and
adaptable.”

2. MIXED
METHOD

3. INTRODUCTION TO
MIXED METHOD
WHAT IS MIXED
METHODOLOGY?
EXAMPLES OF MIXED
METHOD
WHAT ARE THE
EXAMPLES?
HOW IMPORTANT
IS IT?
1
3
2
TABLE OF CONTENTS
SIGNIFICANCE OF MIXED
METHOD
ADVANGES AND
DISADVANTAGES
WHAT ARE THE CONS
AND PROS?
4

4. INTRODUCTI
ON TO MIXED
METHOD
1
WHAT IS IT?

5. According to
the National Institutes of Health, mixed
methods strategically integrates or
combines rigorous quantitative and
qualitative research methods to draw
on the strengths of each.
MIXED METHOD

6. NOUN AS A TECHNIQUE
ABOUT MIXED METHOD II
This refers to the ways in which qualitative and quantitative
research activities are brought together to achieve
greater insight.
Integration
The act of bringing together smaller components or
information stored in different subsystems into a
single functioning unit.

7. EXAMPLES OF MIXED
METHOD
2
What are the identified techniques?

8. Explanatory
sequential
 You first collect and analyze
quantitative data.
 This is followed by gathering and
analyzing qualitative data.

9. Example :
You can estimate the average number of accidents and determine which areas are
classified as high risk. From these conclusions, you can interview drivers in these
areas and analyze their responses in a qualitative framework.
Based on your qualitative data, you can give possible explanations for why accidents
happen in some sections and investigate specific causes.

10. Exploratory
sequential
In this inverseapproach, researchers examine qualitative data
points and then collect and analyze quantitative data sets.

11. Example :
You can begin by talking to drivers or handing out questionnaires to
discover hazardous road sections. This is followed by looking at the
number of accidents in these sections to compare the statistics with the
general drivers’ sentiments.

12. Parallel
In a parallel approach, researchers collect both quantitativeand qualitativedata
simultaneously. The findings are analyzed separately, then their respective
conclusions are compared to give a general conclusion.

13. Example:
In the analysis of road safety, you can carry out
both quantitative and qualitative research as
follows:
Qualitative research – You can look at the driver’s comments and
issues raised on online platforms such as Twitter.
Quantitative research – You can analyze traffic police reports on
the frequency of accidents in various road sections.

14. Nested
The nested approach is also known as the embedded method.
In this design, both qualitativeand quantitativedata are collected concurrently.
However, one type of data takes precedence over the other.

15. Example :
In the quantitative test, you can investigate if the frequency of the drivers’
concerns about a particular road section corresponds with the frequency of
accidents in that section. You can include some qualitative questionnaires to
support your quantitative findings.

16. THE
SIGNIFICANCE
3
Is it worth it?

17. • It is useful in understandingtheinformationsystems
world which is both social and natural in nature to
present a full picture of the phenomenon.
 Expandsandstrengthensa study'sconclusionsand,
therefore, contribute to the published literature.

18. • Providesa better and deeper understanding,by
providing a fuller picturethat can enhance description
and understandingof the phenomena.
 Allows a more holisticview in studying
information systems.

19. THE PROS
AND CONS
4
WHAT ARE THE RESUTS ?

20. THE ADVANTAGES

21. THE BEST OF
TWO WORLDS
VERSATILITY
offerS A more flexibility when
formulating research
problems
EXPANDING
1ST 3RD
THE POSITIVES!
ensures in-depth
and generalizable findings.
2ND
leads to more discoveries beyond
the initial research problem.

22. THE DISADVANTAGES

23. A shortage of skilled
personnel due to the
complex nature of the
quantitative methods
available.
THE CONS!
MISMATCH
OF
CONCLUSIO
NS
LACK OF
RESOURCE
S
Collecting and
analyzing data may
consume a lot of time
and resources.
SKILL
GAPS
COMPLEXI
TY
It can be difficult to
plan and apply one
method using the
results of another.
01 02 03 04
Some research designs,
such as the parallel
design, may yield
contrasting results.

24. CREDITS: This presentation template was
created by Slidesgo, including icons by
Flaticon, infographics & images by Freepik
THANKS
!