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qualitative data
verbal or written information
hasn’t been converted into score
non-numerical
where does quantitative/qualitative research stem from
different philosophies
philosophies are about
how to best explore human phenomena
source of debate in literature
divergence in
philosophies
ensuing methodologies
quantitative research stems from
positivism
positivism
phenomenon relevant to science =
measured
quantified
qualitative research
more phenomenological in approach
emphasises meanings that people ascribe to life experiences
researchers need to consider what when selecting quantitative vs qualitative?
most appropriate to research objectives
nature of quantitative vs qualitative
qualitative - more exploratory
quantitative - confirmatory pursuits
example of confirmatory pursuit
theory testing
6 points of qualitative research design
exploratory nature
contextual understanding
subjectivity and reflexivity
small and purposive sampling
in-depth data collection
iterative data analysis
obtaining qualitative data
anecdotal: informal reports during: experiment, observation, retrospective insight
complementary observations: events important for understanding research BUT were outside of research design
self report: surveys, interviews
what is self-report method
any method that asks participants to report on themselves
4 examples of self-report method
questionnaires,
psychological assessment scales,
interviews,
verbal protocols
data gathering for self-report method is done through?
direct questioning (can be face-to-face)
telephone
internet
self-report method measurement instruments
open questions: provide your own response
closed questions: choose from a set of responses
advantage vs. disadvantage of closed questions
can produce quantifiable measures
force respondents to choose an answer that may not necessarily represent how they feel
surveys
structured questionnaire/interview → large sample
whole population is captured in a survey
census
2 main purposes of a survey
describe what people think/do to which extent
test hypothesis
surveys that test hypothesis are
analytical
data collection methods used in guest speaker stroke study
survey
medical record
data collection instruments for stroke study
WHOQOL
Barthel Index
Charlson Comorbidity Index
Glasglow Coma Scale
cig study type of study
time-series study
why was cig study a time-series study?
time-trend population-based analysis
2004-2017
2 types of samples commonly used in surveys
panel
focus group
panel
specially selected group of people
can be asked to provide info every time when it’s required
disadvantage of panel
can start to become different from population of interest due to the roles they play as members in the study
example of panels starting to become different
start watching excessive amounts of TV because they are being asked about TV preferences
focus group
group of individuals with common interest
brought together for collective interview
advantage of focus group
efficient; generate large amount of data in 1 session
no need of multiple one-on-one interviews
cross-stimulation of ideas among participants
Why manage focus groups carefully?
To ensure all participants can contribute to the discussion
What is one risk in a focus group discussion?
Some participants may dominate the conversation intentionally or unintentionally
structured interviews
questions and procedures identical for everyone
quick to administer
more generalisable results
less influenced by characteristics of the interviewer
data is less cubersome for analysis
disadvantage of structured interviews
places constraints on both interviewer and respondent
interviewers cannot explore issues that may arise during interviews
respondents cannot fully explain their point of view
unstructured interviews
conversational style
open-ended questions
informal/natural atmosphere
richer data generated
greater flexibility for interviewer and respondent
disadvantage of unstructured interviews
process is greatly influenced by interviewer characteristics
results may not be highly generalisable
effects of interpersonal variables in interviews
interviewer’s style/presentation affects quality of info obtained
gender/ethnicity of interviewer/respondent impacts process
examples of effects of interpersonal variables in interviews
men were more likely to discuss usage of prostitutes with older interviewer
more likely to discuss casual sex with male interviewers vs. female
performance ratings given by participants affected by perceived race - different accents
interpersonal variable factors that may affect the outcome of interview
formal role: is interviewer seen as authority figure?
personal qualities of both parties: some subjects are harder to interview, some interviewers are bad at interviewing
social desirability: answer what they think they should be saying, not what is consistent with everyday behavior
evaluative cues given by interviewer: non-verbal cues provide unwanted feedback → influences answers
when gathering qualitative data, the researcher is
an active participant in the research process
in a qualitative interview, the interviewer needs to
analyse dialogue in relation to research objectives
adjust dialogue to match objectives
common occurrence in qualitative interviewing
emergence of a point not mentioned in previous interviews
what happens when a new point emerges in interviews?
new point is incorporated into subsequent interviews
previous interviews are revisited whenever possible
9 beneficial guidelines for qualitative interviewing
let participants know what to expect (info=less anxiety)
ensure anonymity and confidentiality
establish + maintain rapport
use the participants’ language
neutrality
listen attentively
show interest
respond to non-verbal communication
employ natural questioning
6 types of interviews
non-directive
informal
semi-structured
structured but open-ended
fully structured
clinical
non-directive interviews interviewer
interviewer does not direct discussion
non-judgemental listening to respondent only
when to use non-directive
collecting data forming part of case study
therapy sessions
self-awareness
deal with personal problems
who is likely to use non-directive interviews
psychotherapists
counsellors
characteristics of informal interview
relaxed atmosphere
interviewee can express themselves on own terms
job of interviewer in informal interview
keep interviewee on topic
use prompts to solicit more detailed info
how to make informal interviews more effective
interviewer listens properly
intelligent comments
respond appropriately
non-judgemental
what not to do in informal interview
act cool/distant/impersonal → makes interviewee anxious and uncomfortable
benefit of informal interview
reduces anxiety of interviewee because interviewer is more responsive
semi-structured
informal but guided
outline of topics to be covered BUT no pre-set questions
aim of semi-structured interview
ensure all information is obtained
advantages of semi-structured interview
natural conversation flow
freedom to explore new avenues of thought
flexibility in follow-up with certain elements of discourse
drawbacks of semi-structured interview
weak reliability across respondents
drawbacks of semi-structured interview may not be considered a drawback if
looking at it from a non-positivist perspective
structured but open-ended
pre-set open ended questions in predetermined order → everyone
respondent: still free to answer in any way
benefit of giving pre-set questions in predetermined order to everyone?
minimise effect of interpersonal variables that influence 2 way convos
fully structured
follows pre-set and ordered list of questions
answer options are fixed
advantage vs disadvantage of fully structured
makes analysis easier
somewhat limiting - respondents can’t explain their answers
clinical
has clear goals - testing hypothesis
uses non-standardised procedures
common strategy in clinical interviews
ask respondents similar questions in multiple ways
interview medium
many avenues available for questioning
telephone interviews
good for reaching busy people
greater anonymity
cost effective
respondents less likely to be influenced by interviewer
interviewer can’t read non-verbal cues
conducting surveys electronically
via email or internet
time-saving
cost-efficient
major criticism of conducting surveys electronically
likely to yield biased sample - users differ from general population
many people don’t have internet at home
people who are likely to do surveys online tend to be lefties and more likely to try new things
limited generalisability
proportion of people who don’t have internet at home
40-50%
mail surveys
respondents less concerned about social desirability
more honest answers
researcher can’t clarify questions or ask for elaboration
low response return rate
likert scale
respondents select from an ordered range of response options
strongly disagree (1) through to strongly agree (5)
categories in scale: quantified and summed → later statistical analysis
why might researchers prefer to study behaviour in a more “natural setting”?
laboratory experiments can produce artificial behaviours
field experiment
studying behaviours in a less controlled environment
disadvantage of field experiment
loss of control over extraneous variables
no random assignment of participants to conditions
non-equivalent groups from the start
quasi-experiment
tries to examine cause-and-effect, even though
lack of:
full experimental control of IV
random assignment to conditions
what to be careful in quasi experiments
non-equivalent groups → sometimes differences observed = initial group differences
quasi-experiments are useful when
useful when it’s impossible/unethical for researchers to assign people to groups
example of quasi experiment being useful
natural experiments: observation of prosocial behaviour before/after 9/11 attack
how to study loss of function/necessity of frontal cortex for planning in humans?
natural experiments
how is experimental/control conditions determined in natural experiments
natural event
historical event
natural experiments
experimental/control conditions determined by natural/historical event
usually before/after comparisons
can be between subjects design
examples of natural experiment
ecological, social, clinical research before/after COVID contingencies
people suffering from specific strokes vs matched controls
interrupted time series designs
DV is measured @ several points in time
interruption = introduction of IV → separates multiple measures of DV
what is interruption in interrupted time series designs
introduction of independent variable separating multiple measures of DV
role of IV in interrupted time series designs
separates multiple measures of DV
advantage of interrupted time series designs
pre/post data → rule out influence of confounding variables to certain extent
example of interrupted time series designs
traffic accidents before/after introduction of breathalzyer tests in UK
comparing social development before/after COVID restrictions
3 classifications of studies
true experimental
quasi-experimental
non-experimental
quasi experimental vs. non-experimental
hard to distinguish
biological determinism
we can understand everything from a biological perspective
biological perspective is more valid than other explanations
problem of biological determinism
fails to account for intervening variables
historically: has resulted in erroneous conclusions
factors that biological determinism fails to account for as intervening variables
social
economic
cultural factors
broca argued that
brain volume/cranial capacity determines intelligence
white men cranial capacity > black men
biological determinism gone wrong
lambroso and crimininology
broca and cranial capacity
lambroso and criminology
determined criminals based on:
shape of their face
bumps on their skull
true experiment
random allocation of participants to conditions
manipulated independent variable - high stress vs. low-stress condition
dependent variable
quasi-experiment has
non-equivalent pre-existing groups
(manipulated) IV
dependent variable
group difference study
administer questionnaire, identify:
measured variable: high-stress vs. low-stress participants
measured variable: number of errors
control of all variables is best achieved in
a laboratory setting