Paper III
KEY TERMS AND DEFINITIONS
Homogenous focus group: Focus group where participants all share key features (e.g. race, gender, age, occupation, social class etc.)
Heterogenous focus group: Focus group where participants are different
Semi-structured interview: Uses both closed and open-ended questions
Reflexivity: The fact that a researcher reflects upon their own involvement in the research process
Coherence theory of truth: The theory that truth is not absolute but consensual
Representational generalisation: Findings from qualitative research can be applied to populations outside of the population of the study
Inferential generalisation: Findings of the study can also be applied to settings outside the settings of the study
Theoretical generalisation: Theoretical concepts derived from the study can be used to develop further theories
Participant anonymity: Nobody outside the research team should know the identity of the participant(s)
Researcher bias: Researcher's own beliefs may influence the research process - possibly because the researcher does not pay enough attention to results and only looks at results that confirm their hypothesis
Participant expectations: The participants'ideas of what the researcher wants / the aim of the research can affect the trustworthiness of the results
Trustworthiness: When the findings of the research reflect the intended (natural) meanings of the participants
Method triangulation: The comparison of data which comes from different methods - e.g. both qualitative and quantitative research
Interviewer effects: The effects that the presence of a particular interviewer may have on the interview
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SAMPLING TECHNIQUES
Random sampling – In random sampling everyone in the population has the same chance of getting chosen. This is easy because it is quick and can even be performed by a computer. However, because it is down to chance you could end up with a unrepresentative sample, perhaps with one demographic being missed out.
Systematic sampling – an example of a systematic sample would be picking every 10th person on a list or register. This carries the same risk of being unrepresentative as random sampling as, for example, every 10th person could be a girl.
Stratified sampling – this method attempts to make the sample as representative as possible, avoiding the problems that could be caused by using a completely random sample. To do this the sample frame will be divided into a number of smaller groups, such as social class, age, gender, ethnicity etc. Individuals are then drawn at random from these groups.
Quota sampling – In this method researchers will be told to ensure the sample fits with certain quotas, for example they might be told to find 90 participants, with 30 of them being unemployed. The researcher might then find these 30 by going to a job centre. The problem of representativeness is again a problem with the quota sampling method.
Cluster sampling – This is taking a random sample at various stages of the sampling process. For example you might take a random county, take random schools from this county and take random pupils from this school to find your sample.
Snowball sampling – With this method, researchers might find a few participants, and then ask them to find participants themselves and so on. This is useful when a sample is difficult to obtain. For example Laurie Taylor used this method when investigating criminals. It would be difficult for him to find a sample as he didn’t know many criminals; however these criminals know a lot of people who would be willing to participate, so it is more efficient to use the snowball method.
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TRIANGULATION
Is the application and combination of several research methodologies in the studying of the same phenomenon
Combining multiple observers, theories, methods, empirical materials, we can aim to overcome the weaknesses / biases / problems that come from single-method / single-observer / single-theory studies
Often the aim of triangulation is to obtain confirmation of findings through the overlap / convergence of different perspectives
Point at which everything converges is seen to represent reality
Types of Triangulation
There are four basic types:
Data triangulation - involving time, space, people
Investigator triangulation - involving use of multiple observers rather than just one
Theory triangulation - using more than one theoretical idea in the interpretation of results / phenomena
Methodological triangulation - using more than one method
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CASE STUDIES
Holistic approach into the study of an individual
Use the person's own memories, the memories of relatives and friends, and records of different types e.g. diaries / photos
Based upon the principle of methodological triangulation
Uses a combination of interviews, questionnaires, observations, tasks
Involves observing what happens to a person / reconstructing case history of the participant
Data Collection in Case Studies
Researchers gather info in different ways
Interview is widely-used but not the only method
Clinical neuropsychologists use memory tasks / drawing tasks / brain scans to investigate people with distinctive brain injuries or conditions (e.g. Sperry - hemisphere disconnection)
These tasks are designed to reveal if there are neurological deficits as a result of their condition
Characteristics of a Case Study
Highly descriptive
Data collected describes psychological processes / events, and the contexts in which they occurred
Because many case studies are longitudinal (over a period of time) a high level of detail can be obtained
Narrowly focused
Offers descriptions of a single person or small group, e.g. in a school or a firm
Case studies focus on a limited aspect of the person or group, e.g. any unique psychological conditions they have or symptoms of stress in their workplace
Combine objective and subjective data
All data regarded as valid for analysis and as basis for inferences
Process-oriented, not outcome-oriented
Enables researcher to explore / describe nature of processes which occur over time (e.g. development of language in children)
Advantages
Stimulate new research - can highlight extraordinary behaviour
May contradict existing theory
New insight into phenomena - because they are so rich in information, they can give us insight into phenomena that we may not be able to study in any other way
Permit investigation of otherwise inaccessible situations - unique and distinctive conditions that happen e.g. with Genie, Clive Wearing
Disadvantages
Replication of studies is not possible
Researcher expectation / subjective feelings may influence case
Heavily dependent on self-report data which is subject to memory distortions and social desirability effect
Most case studies are retrospective, not prospective
Impossible to generalise from a case study of an individual or small group to the general population
Ethical considerations
Privacy / confidentiality - protection of identity
Sensitivity
Informed consent
No deception
Right to withdraw
Debriefing
No psychological / physical harm
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REFLEXIVITY
Important that the researcher is aware of his / her own beliefs so they do not affect the interpretation of behaviour
Researcher must reflect on his / her own beliefs and attempt to separate them from data
Willig (2001)'s two forms of reflexivity
Personal reflexivity - values, beliefs, political faction, socioeconomic class, personal interest
Epistemological reflexivity - related to how data is gathered, limited understanding of a particular group of people can restrict amount of data gathered
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INTERVIEWS
Semi-structured Strengths
Good for collecting data on socially sensitive subjects (e.g. sexual preferences, views on racism) because it is one-on-one
Should be less biased by researcher's preconceptions
Because it is an open-ended approach, participants can elaborate and clarify
The theme is chosen in advance so non-relevant material is avoided
Limitations
Data analysis is time-consuming
One-on-one situation can be considered artificial which calls into question ecological validity
Focus Groups Strengths
Fast and convenient way to collect data from individuals concurrently
Provides natural setting which can give ecological validity
Uncovers knowledge and experience about what, how and why they think about a particular topic through the register (vocabulary, metaphors, sentence structure) they use
Can reveal cultural values and group norms
Limitations
Not always appropriate for a research question (e.g. sexual preferences or fetishes)
Participants may not disclose all relevant information for fear of embarrassment or being judged
Conformity can confound the results
Ethical issues in conducting focus groups in non-free environments like prisons and nursing homes (informed consent, no freedom to choose)
Narrative Interviews Strengths
Good at elucidating complexity of individual experience because it shows how humans construct meaning in their lives
Can be used for all kinds of people as it only requires everyday speech - education level
Limitations
Lots of data to analyze which is time-consuming to transcribe
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OBSERVATIONS
Naturalistic
Watching the behaviour of humans or animals in a natural environment
Strengths
More natural (therefore more credible / trustworthy) behaviour occurs when people are unaware that they are being observed
Study of situations that cannot be artificially recreated in a lab
Limitations
Observer may affect behaviour if detected
Difficult to replicate
May need for more than one observer to ensure nothing is missed
Breaches participant privacy
Participant Observation
Where the researcher joins in with the group they are studying. Easier to understand the meaning behind the behaviour of the group being observed.
Strengths
Primary source of data - first-hand information
Participants likely to develop truthful relationship with subjects
Rich, insightful qualitative data
Limitations
Gaining entry can be difficult
Presence of researcher may affect behaviour of the group
Observations may lack structure - makes it unreliable and difficult to replicate
Only a small number can be observed fully at one time - unrepresentative
Ethical issues - subject privacy, deception
Non-Participant Observation
Carried out without the researcher participating, because it may eliminate the risk that people will be affected by their presence, or because subject group are unwilling to cooperate with the researcher participating.
Strengths
Reduce the risk of Hawthorne effect (observer effect - where participants modify an aspect of their behaviour in response to a change - presence of researcher - in environment)
More convenient for recording of data
Limitations
If the observation is overt then you are more likely to trigger Hawthorne effect
You do not gain as much info as participant observations - you are not immersed in the group
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Guba and Lincoln proposed four criteria for judging qualitative research as opposed to the more quantitative criteria.
Credibility
Involves establishing that the results of quali. research are believable from perspective of participant
Since purpose of qualitative research is to describe / understand behaviour or phenomena from a "civilian" point of view, participants are the only ones who can judge the legitimacy of results
Transferability
Refers to degree to which the results can be generalised into wider / other contexts
Dependability
Traditional quantitative view of "reliability" is based on the ability to replicate / repeat the study, however the concept of dependability emphasizes need to account for the evolving context that the research occurs in
Researcher is responsible for describing changes in setting and how these changes affected the way the researchers approached the study
Confirmability
Quali. research tends to assume that each researcher brings a unique perspective to the study
Confirmability refers to extent to which results can be confirmed / corroborated by others
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