This document discusses qualitative research methods. It defines qualitative research as exploring issues to understand phenomena through unstructured sources like interviews rather than statistics. Some key characteristics of qualitative research are that it seeks to understand people's perspectives in natural settings, is value-bound, and aims for a holistic picture through discovery rather than testing hypotheses. Case studies are described as an in-depth analysis of a single case to understand its complexity. Triangulation is introduced as using multiple research strategies or data sources to confirm findings and reduce errors.
Grounded Theory: A specific methodology developed by Glaser and Strauss (1967) for the purpose of building theory from data. In their book the term grounded theory is used in a more sense to denote theoretical constructs derived form qualitative analysis of data.
Grounded Theory: A specific methodology developed by Glaser and Strauss (1967) for the purpose of building theory from data. In their book the term grounded theory is used in a more sense to denote theoretical constructs derived form qualitative analysis of data.
In the Educational research, two approaches are used. Quantitative & qualitative. Qualitative Research is much different than the quantitative. The details of the qualitative research are discussed in this presentation.
Thematic analysis in qualitative research Explained with ExampleSufi Nouman Riaz
https://youtu.be/QNP4KkNFzu4
Thematic analysis is a technique of data analysis while conducting a qualitative study. Thematic analysis is the most recognized, adapted, and used approach to analyze qualitative data.
This video is made as per the illustrations and procedures explained in the Braun and Clarke (2006) research article on Thematic Analysis.
Have you just conducted a qualitative study involving:
Interviews
Focus Groups
Observations
Document or artifact analysis
Journal notes or reflections?
How to use this type of data?
Just as there are numerous statistical tests to run for quantitative data, there are just as many options for qualitative data analysis.
THEMATIC APPROACH
Most common forms of analysis in qualitative research. It emphasizes Pinpointing, Examining, Recording
Patterns (or "themes") within data.
Themes are patterns across data sets that are important to the description of a phenomenon and are associated to a specific research question.
Themes become categories for analysis
6 Phases of Coding
(Thematic Analysis)
1-Familiarization with data
2-Generating initial codes
3-Searching for themes among codes
4-Reviewing themes
5-Defining and naming themes
6-Producing the final report
In the Educational research, two approaches are used. Quantitative & qualitative. Qualitative Research is much different than the quantitative. The details of the qualitative research are discussed in this presentation.
Thematic analysis in qualitative research Explained with ExampleSufi Nouman Riaz
https://youtu.be/QNP4KkNFzu4
Thematic analysis is a technique of data analysis while conducting a qualitative study. Thematic analysis is the most recognized, adapted, and used approach to analyze qualitative data.
This video is made as per the illustrations and procedures explained in the Braun and Clarke (2006) research article on Thematic Analysis.
Have you just conducted a qualitative study involving:
Interviews
Focus Groups
Observations
Document or artifact analysis
Journal notes or reflections?
How to use this type of data?
Just as there are numerous statistical tests to run for quantitative data, there are just as many options for qualitative data analysis.
THEMATIC APPROACH
Most common forms of analysis in qualitative research. It emphasizes Pinpointing, Examining, Recording
Patterns (or "themes") within data.
Themes are patterns across data sets that are important to the description of a phenomenon and are associated to a specific research question.
Themes become categories for analysis
6 Phases of Coding
(Thematic Analysis)
1-Familiarization with data
2-Generating initial codes
3-Searching for themes among codes
4-Reviewing themes
5-Defining and naming themes
6-Producing the final report
Progressive focusing and trustworthiness in qualitative research: The enablin...University of Glasgow
* The business and management community increasingly recognises that qualitative research is a ‘messy’, non-linear and often unpredictable undertaking. Yet, a considerable proportion of the qualitative research published in top journals is still presented as the result of a linear, predictable research process, thus wrongly suggesting deductive reasoning. * In this paper, we focus on a particular type of ‘messiness’ where during fieldwork, the research context is revealed to be more complex than anticipated, forcing the researcher to gradually refine/shift their focus to reflect ‘what really matters’. We adopt Stake’s notion of progressive focusing for this gradual approach. * Progressive focusing is well-suited to qualitative research in international business requiring complex iteration between theory and data, and the truthful yet coherent presentation of the research process. We propose that this dual challenge of complexity and trustworthiness may be addressed by using computer-assisted qualitative data analysis software (CAQDAS). * We present conceptual considerations and guidelines and offer a view on a ‘messy’, non-linear doctoral research project conducted using a progressive focusing approach, to demonstrate how CAQDAS can help to develop and re-negotiate insights from theory and interview data, as well as enhance trustworthiness, transparency and publication potential.
This guide is designed to provide you with an overview of the steps required to conduct a Focus Group Discussion (FGD) including the resources required, and instructions about what you do with the information when you have completed the FGDs.
Here is an in-depth presentation that overviews twenty two (22) qualitative data methods that can be used in marketing research. For more great FREE resources, join us on facebook today at www.facebook.comb2bwhiteboard.
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Introduction
Types of Research
Research approaches
Key points of Research
Planning a Research Project
Research Question and its Generation
Hypothesis Generation
Sampling methods
Questionnaire development and design
Preparing a Research Proposal
Validity & Reliability of Research
Writing a Research Reports
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2. RESEARCH METHOD
Qualitative Research
Expected Learning Outcome
Able to conduct further research on
qualitative research
3. re-search / rē, sərCH/
Noun: The systematic investigation into and study of
materials and sources in order to establish facts and reach
new conclusions.
Verb: Investigate systematically.
Synonyms:
noun. investigation - exploration - search - study – inquiry
verb. explore - investigate - search - study - inquire
4. Research METHOD
"Research methods are the particular strategies
researchers use to collect the evidence necessary for
building and testing theories" Frey, Botan, Friedman, & Kreps (1991)
5. Precise quantitative data and value
rigorous, exact measures, statistical
analysis and verifiable truth.
QUANTITATIVE Hypothesis are tested by carefully
analysing the data using statistics.
Usually deductive logical reasoning.
Approaches
Cavana, Delahaye & Sekaran, 2001
to Research
Method of inquiry appropriated in many
different academic disciplines,
traditionally in the social sciences
QUALITATIVE studies and market research. The aim
is to gather an in-depth understanding
of human behaviour and the reasons
that govern such behaviour.
6. why we go through this?
want to make sense of a particular
situation
7. Theory
Hypothesis
Deductive
Observations
Confirmation
making sense Cavana, Delahaye & Sekaran, 2001; Sekaran, 2003; Wellman & Kruger 1999
Theory
Tentative
Hypothesis
Inductive Patterns
Observations
8. Qualitative Research
Qualitative research is about exploring issues, understanding phenomena
and answering questions. Qualitative research happens almost everyday,
every time in workplace and at personal level
Qualitative research seeks out the ‘why’, not the ‘how’ of its topic through
the analysis of unstructured information – things like interview transcripts,
open ended survey responses, emails, notes, feedback forms, photos and
videos. It doesn’t just rely on statistics or numbers, which are the domain of
quantitative researchers.
9. gain insight into people's attitudes,
behaviours, value systems, concerns,
motivations, aspirations, culture or
lifestyles.
WHAT
PEOPLE SAY
WHAT
Qualitative
Cavana, Delahaye & Sekaran, 2001; Sekaran, 2003; Wellman & Kruger 1999
CULTURE
PEOPLE
MEAN,
Research
NEED,
DESIRE
WHAT
PEOPLE DO
used to make informed business
decisions, policy formation,
communication and future
research effort
11. Insider - Reality is what
people perceive it to be.
Value bound - Values will have an
Dynamic - Reality changes
with changes in people’s VIEWPOINTS impact and should be understood and
taken into account when conducting
perceptions.
and reporting research.
REALITY VALUES
Understanding - Seeks to
understand people’s Holistic - A total or
interpretations. complete picture is sought.
10
PURPOSE FOCUS
RESULTS ORIENTATION
Valid - The focus is on design Discovery - Theories and
and procedures to gain "real," hypotheses are evolved from
"rich," and "deep" data. data as collected.
CONDITIONS DATA
Naturalistic - Investigations Subjective - Data are perceptions
are conducted under natural of the people in the environment.
conditions.
INSTRUMENTATIONS
Human - The human person is
the primary collection
instrument.
12. • Produces more in-depth, comprehensive
information.
• gain a total or complete picture in natural setting
Good
Cavana, Delahaye & Sekaran, 2001; Sekaran, 2003; Wellman & Kruger 1999
MITIGATE
Bad Case Studies & Triangulations
• Subjectivity – difficult to establish validity &
reliability.
• Induced biasness – researchers vs respondents
• Limited Scope – in-depth study
14. Case: the term given in SPSS to a particular
respondent to a questionnaire or interview.
(Cavana, Delahaye & Sekaran, 2001)
A Case: is a description of an actual situation,
commonly involving a decision, a challenge, an
opportunity, a problem or an issue faced by a person
or persons in an organisation. (Leenders, Muaffette-Leenders & Erskine, 2001; Ellet, 2007)
15. Case Study: a comprehensive description and analysis
of a single situation or case – e.g. a detailed study of
an individual, group or organisation. (Cavana, Delahaye & Sekaran, 2001)
The term Case study pertains to the fact that a
limited number of units of analysis (often only one),
such as individual, a group or an organisation, are
studied intensively. (Wellman & Kruger, 1999)
16. When to use case studies
Cavana, Delahaye & Sekaran, 2001; Sekaran, 2003; Wellman & Kruger 1999
Case studies, are directed towards understanding the
uniqueness and the idiosyncrasy of a particular case
in all its complexity
Objective: to investigate the dynamics of some single
bounded system, such as social system of a family, an
organisation, a community, a group or participants in
a project.
18. triangulation
an approach to research that uses a combination of more than
one research strategy in a single investigation.
choosing different strategies in the same study is to balance them
so each counterbalances the margin of error in the other.
ensure completeness confirm findings
19. Data Triangulation – Space, Time, Person
Method Triangulation – Design, Data
Collection
Investigator Triangulation
triangulation
Theory Triangulation
Multiple Triangulation – using multiple
techniques
20. Data
Triangulation
time triangulation, researchers collect data
about a phenomenon at different points in
time.
21. Data
Triangulation
space triangulation consists of collecting data
at more than one site.
22. Data
Triangulation
person triangulation collect data from more
than one level of person, that is, a set of
individuals, groups, or collectives.
23. Data Triangulation – Space, Time, Person
Method Triangulation – Design, Data
Collection
Investigator Triangulation
triangulation
Theory Triangulation
Multiple Triangulation – using multiple
techniques
24. Between method triangulation
using combination of quantitative and
qualitative design; NOT at data collection,
Design generation and analysis BUT at Interpretation
Level
merging findings is an informed thought
process, involving judgment, wisdom, creativity,
and insight and includes the privilege of
creating or modifying theory.
Method
Triangulation often more time consuming and expensive to
complete a study using methods triangulation.
Combination is to provide a more holistic and
better understanding of the phenomenon under
study.
Data Collection two different techniques of data collection, but
each technique is within the same research
tradition.
within method triangulation
25. Data Triangulation – Space, Time, Person
Method Triangulation – Design, Data
Collection
Investigator Triangulation
triangulation
Theory Triangulation
Multiple Triangulation – using multiple
techniques
26. researchers with divergent
backgrounds and expertise work
together on the same study
investigators each must have
prominent roles in the study
Investigator
Triangulation and their areas of expertise
must be complementary.
27. Data Triangulation – Space, Time, Person
Method Triangulation – Design, Data
Collection
Investigator Triangulation
triangulation
Theory Triangulation
Multiple Triangulation – using multiple
techniques
28. use of more than one lens more than one theoretical
or theory to analyse the explanation emerges from
same data set. the data.
Triangulation
Emerging
theories
Theory
Data
Data
Generatio
Analysis
n
conclusio
n
29. why do we go through case
studies and triangulation
36. summing up
qualitative research
• Another approach to research.
• Trying to make sense of things – idiosyncrasy within bounded
system
• The aim is to gather an in-depth understanding of behaviour
and the reasons that govern such behaviour.
• Using case studies and triangulation to confirm findings and
ensure completeness