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Research Methods, Sampling Techniques, Ethics, Generalizability/Transferring, Bias, Credibility
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Qualitative Research is made from:
Observations, interviews and focus group
Naturalistic observation
observing subject in their natural envrionment
field notes are often used to gather data
Covert Observations
participants are not aware they are being observed
Overt observations
participants know they are being observed
Participant observation
when the researcher becomes part of the group being studied to obtain an inside perspective, but can lead to researcher bias
Non-participant observation
when the researcher is not part of the group being observed and observes from a distance without interacting with the participants
Semi-structured interviews
they follow an interview schedule
elaboration and deviation are allowed
open and closed ended questions are also allowed
resembles a conversation
Un-structured interviews
there are topics to cover but the precise order and questions are not fixed
the interview evolves from the relationship with researcher builds with the participant
open and closed ended questions are also allowed
Qualitative interviews
a face to face discussion where the researcher will ask the participant questions to collect data
Focus groups
a group discussion with 6-10 people along with the researcher to initiate the conversation
they are great because they can help participants remember information they would have forgotten in a one on one interview
Lab experiment
manipulating the iv and dv variables
control over extraneous variables
can form a cause and effect relationship
Field experiment
takes place in a naturalistic setting, and they examine the effect of an IV on a DV, but there is not full control over extraneous variables
Natural experiment
the IV is naturally occurring, but still examining the effect of an IV on a DV but no full control over extraneous variables
Correlational study
investigating if two naturally occurring variables are related, you do not manipulate the IV
the strength and direction of the relationship between two variables is shown in a correlational coefficient (a type of statistic).
Case study
a rich in depth investigation/observation that uses quantiative and qualitative methods to collect data
Quasi experiment
participants are allocated into groups based on measurable characteristics ex. score on a depression scale, male and female, and ethnicity. no random allocation is possible here, but still studying the effect of an IV on a DV
Random sampling
participants are randomly selected from a target population
everyone has an equal chance of being selected, and findings are usually better representative of the target population
reduces sampling bias
Self-selected/volunteer sampling
participants approach the researchers and volunteer to be part of the study. participants here are usually more committed because they chose to participate.
Opportunity Sampling
taking participants who happen to be a convenient time and place to take part in the study. convenient for the researchers, as they do not have to find participants
Snowball sampling
participants who are in the study recruit other people to join. the sample will continue to grow until sufficient numbers are needed for the study. can lead to sampling bias
Purposive sampling
researchers select participants with relevant characteristics/traits that are of interest to the researchers. researchers purposefully select the people to take part in the study.
Ethics in reporting the results
confidentiality - protecting identity - not tracing responses to participants
consent - informed consent needs to be obtained for researchers to use someones data
right to withdraw - if participants are not happy with their results they can choose to withdraw and not include their data in the findings
Applying the findings Number 1
Researchers must be very clear about who their sample was made up of and to whom the findings can be generalized.
If the sample is small and non-probability, then you cannot generalize the findings to other contexts
Applying the findings Number 2
to see if the results are credible, there must be reflexivity among the researcher(s). researchers have to reflect if they have any pre-existing knowledge/bias related to the topic being studied
Applying the findings Number 3
researchers have to be careful to not mis-apply or mis-interpret the findings to a population that has no similarities nor relevance to the study.
researchers have to be careful not to apply the findings to a socially disadvantaged/marginalized groups as this can cause cultural and/or social stigmas
Qualitative transferring findings 1
Inferential - can the findings be transferred to other people and real-life settings (mundane)?
Researchers must provide thick descriptions; detailed information about the conditions of the study, so people can see the extent to transferring the findings to another setting/people.
Qualitative transferring findings 2
Representational - can the findings be transferred to a wider population of people?
Sample? are the participants in the study too specific and not random enough to generalize to a broader population?
Qualitative transferring findings 3
Theoretical - if the stimulus talks about a theory, then how do the findings relate to the broader theory? If the study does not mention a theory, then ask if there is any more research
Quantiative generalizability 3 things
Construct validity
population validity
ecological validity
Define credibility
The extent to which the findings are trustworthy, accurate and correctly representative of the interpretations of the participants rather than a misinterpretation of the data
Credibility steps
research triangulation
method triangulation
reflexivity
was this method the best possible method to ensure credibility
other published research done in this sector?
Define bias
The systematic errors in thinking, research and practice that can affect the validity and reliability of psychological findings
Bias steps
define bias
researcher triangulation
double blind technique
reflexivity
pilot study
checking sampling bias
peer review
was this the best possible way to prevent bias?