Transcript Chapter 10
Section 1
CHAPTER 10
Qualitative Research: Theory
and Practice
Methods chosen for research dependant on a
number of factors including:
Purpose of the research
Characteristics of the participants
Researchers’ beliefs about the nature of knowledge
and how it can be acquired.
Epistemology: questions such as
“how can we know about the world?”
“what is the basis of our knowledge?”
Ontology: Does a social reality exist independently of
human perceptions and interpretations?
Theory and practice
Ritchie and Lewis (2003)
Three main questions on the debate in relation to epistemology:
1.
What is the relationship between the researcher and the researched?
2.
Being studied effects people so they do not behave naturally.
The researcher brings assumptions and influences the way data are collected and analyzed.
Reflexivity: researcher needs to reflect on their own background and beliefs so it can be known
the role it plays in the research process.
What can be held as truth?
Correspondence theory of truth:
Coherence theory of truth:
3.
The claim that truth or falsity of knowledge is determined by if it accurately describes the world.
There must be a match between observations of the natural world and independent reality.
The trust or falsity of knowledge is not absolute, but rather consensual.
Truth is determined by whether or not it can be supported by other observations or statements.
*assuming the truth is in the data
How is knowledge gathered?
The natural sciences rely on deductive processes (hypothesis testing.)
Focus on cause-and-effect relationships, generalization, and prediction.
Social sciences rely on inductive processes based on collected data to reach conclusions.
Focus on understanding of social processes.
Theory and practice
Ritchie and Lewis (2003)
Interpretative approach – the understanding from
the view of those involved.
The goal of qualitative research is to get a picture
of the external reality that is diverse and
multifaceted.
Rolfe (2006)
There is no unified qualitative paradigm, it only
appears so in textbooks.
Theory and practice
The difference between qualitative and quantitative
data:
Quantitative:
research based on “numbers” that are easy to summarize and
submit for statistical analysis.
Quantitative meant to be generalizations from a sample’s
data.
Qualitative:
Qualitative data gathered directly through interaction with
participants.
Ex: one-on-one interview, group interview, observation.
Qualitative data consists of text.
Ex: field notes and transcripts.
Qualitative data texts are open-ended and able to be
interpreted.
Theory and practice
Strengths of qualitative research:
Provides rich data – descriptions of individuals based on
concepts, meanings, and explanations from data.
Useful for investigating complex and sensitive issues.
Ex: illness, sexuality, homelessness, abusive relationships.
Explain phenomena – what lies behind it; why?
Solves problems through identifying and evaluating
factors.
Ex: What initiatives are needed to resettle homeless people.
Generates new ideas and theories to explain and
overcome problems.
People studied in their own environment increases
validity.
Theory and practice
Limitations of qualitative research:
Time-consuming and generates much data.
No clear strategy for breaking down the data.
Interpretations of data may be subjective.
Theory and practice
Can qualitative studies be generalized?
Representational generalization
Findings from a qualitative research study can be applied
to populations outside of the study.
Inferential generalization
Findings of the study can be applied to settings outside
of the study (aka. Transferability or external validity)
Theoretical generalization
Theoretical concepts derived from the study can be used
to develop further theory. (inferences about effective
policy.)
Theory and practice
Ethical considerations
Informed consent – sometimes impossible for
valid research.
Protecting participants from harm – sensitive
issue with violence, abuse, alcoholism, etc.
Anonymity and confidentiality – The identity of
participants should not be known by those outside
of the research team with few exceptions.
Theory and practice
Sampling techniques of qualitative research
Probability – related to statistical probability and
representativeness
Non-probability sampling – most rigorous
approach to sampling for statistical research.
Samples in qualitative research are chosen to
represent important characteristics of a population.
Three different kinds of sampling:
Purposive sampling
Snowball sampling
Convenience sampling
Theory and practice
Purposive sampling:
Targets a particular group of people.
Criteria based on the aim of the study.
Useful in situations where the researcher needs to
obtain a sample quickly to investigate an urgent
problem such as a new rehab scheme for people
who have had strokes.
May be the only option if sample is hard to locate.
Ex: homeless elderly women
Keep in mind that purposive sampling may be
biased.
Theory and practice
Snowball sampling
Used to get a hold of participants without
investing much time and energy.
Researchers ask participants if they know anyone
else who would fit into the group.
May help locate hidden populations (rare or hard
to find people.)
Cost-efficient sampling to locate participants.
Difficult to avoid bias and confidentiality concerns
in snowball sampling.
Theory and practice
Convenience sampling
Concentrates on people who are available and
asked if they would like to participate.
Ex: high school students, college students, people in
the mall.
A sample could represent not only those in the
study, but those in similar situations around the
country.
Similar research needs to be done in order to
confirm it.
Theory and practice
Participant expectations and research bias in
qualitative research.
Participation expectations (reactivity)
participants’ ideas of the research and the
trustworthiness of the data (behave in certain ways
to please researcher.
Researcher bias
The researcher’s own beliefs that determine the
research process (little attention paid to
participants.
Theory and practice
Credibility in qualitative research
Credibility – internal validity that is used.
Trustworthiness – the findings of the research
reflect the meaning as described by the
participants.
Guba and Lincoln (1989) – peer reviews are
needed to check for proper interpretations of the
data or applying other methods of analysis.
Rolfe (2006) – A study is trustworthy if, and only if,
the reader of the research report judges it to be
so.
Theory and practice
Effect of triangulation on credibility and trustworthiness on qualitative
research.
Triangulation – the cross-checking of information and conclusions in
research through the use of multiple procedures or sources.
Forms of triangulation:
Method triangulation – involves comparing data that comes from the use of
different methods.
Data triangulation – involves comparing data that come from data gathered from
other participants or other sources. (ex: observations and interviews)
Researcher triangulation – the use of several observers, interviewers, or
researchers to compare and check data collection and interpretation.
Theory triangulation – involves looking at the data using different theoretical
perspectives.
Hammersly (1992) – There is no completely reliable way to find “truth.”
The closest way is to carefully examine all evidence and see if it supports
the interpretation.
Theory and practice
Reflexivity in qualitative research
Willig (2001) – there are two types of reflexivity:
Personal reflexivity – reflecting on ways researcher’s
values, beliefs, experiences, interests, and political
commitment influence the research. Also, how the
research effects the researcher personally and
professionally.
Epistemological reflexivity – thinking about the ways
knowledge has been generated in the study.
Examples:
Asking if the research question limits what could be found.
Is the design of the study and analysis of results biased?
Would a different approach have brought about a different
understanding of the topic?