research methods - 2 Flashcards
(203 cards)
1
Q
order effects
A
variables such as fatigue or practice effects, which affect the study if things are done in the same order
participants may become bored/tired of the study or may have done the same activity multiple times and may improve or discover the aim which will affect the findings
2
Q
randomisation
A
making as many things within the research design and procedure as random as possible to reduce investigator effects/biases.
3
Q
demand characteristics
A
participants not behaving naturally
instead they behave according to or against the aim
4
Q
standardised procedure
A
a procedure that is carried out in a set way that is the same for everybody
e.g. every participant looks at the list of words for a minute.
5
Q
participant variables
A
they are related to individual characteristics of each participant that may have an impact
e.g. mood, anxiety, awareness
6
Q
what is meant by operationalising?
A
the process of making something measurable.
7
Q
dependent variable
A
the variable you are measuring
8
Q
double blind experiment
A
when the experimenter does not know the aims of the experiment and therefore can’t have any influence
9
Q
situational variables
A
something to do with what is happening
e.g. time of day experiment is done
10
Q
independent variable
A
the variable you change/manipulate.
11
Q
extraneous variables
A
variables in the environment that have the potential to affect the findings of your study
e.g. noise in room
12
Q
experimenter effects
A
when the experimenter being present affects the findings of the study
e.g. the tone of voice when giving instructions may indicate the answers needed
13
Q
subjectivity
A
when analysing data that involves words there can be interpretation bias as you have to interpret what is being said in the data, which will be different for everyone.
14
Q
what is meant by experimental design and what are the three types?
A
the allocation of participants for your study, whether you have one or more groups
1) repeated measures
2) independent groups
3) matched pairs design
15
Q
repeated measures design
A
there is one group doing all conditions
16
Q
independent groups design?
A
there are two separate groups in different experimental conditions.
17
Q
matched pairs design?
A
there are two groups, but the groups are matched for something similar
e.g. age, personality
18
Q
standard deviation
A
how close the scores are around the mean.
19
Q
what does a small standard deviation show?
A
scores are clustered closely around the mean.
20
Q
what does a large standard deviation show?
A
scores are spread out.
21
Q
what is a sample?
A
who the participants are for the study.
e.g. age, race, background
22
Q
what is meant by a research method?
A
the main way the data is collected in a study, such as using an experiment, a case study or a questionnaire.
23
Q
predictive validity
A
to which the measure being used will allow you to predict future behaviours that this measure should be able to predict
e.g. when a student has good GCSE grades, we can predict that they will achieve good A-level grades.
24
Q
what is meant by good predictive validity?
A
the data collected can be used to predict future behaviours.
25
objectivity
when analysing data there is no interpretation bias
this is the case when analysing quantitative data as they are factual findings.
26
what are the measures of central tendency?
the mean, median and mode of a set of scores.
27
measures of dispersion
range and standard deviation
how widely spread a set of scores are from the measures of central tendency
28
what is a hypothesis?
a prediction of what you think is going to happen in the results.
29
what are confounding variables?
variables that do affect the findings of your study
e.g. noise affecting your memory experiment
30
generalisibility
whether or not the sample is representative to the whole or target population.
does it represent a variety of people?
how big is the sample?
is the sampling technique creating a bias sample?
31
ethics
a set of guidelines psychologists have to follow to make sure participants are not harmed mentally or physically in the study
32
internal validity?
whether or not you are measuring what you claim to measure
involves isolating the variables to make sure the IV is affecting the DV so cause and effect can be established
ensuring results aren't affected by extraneous variables.
33
ecological validity
whether or not the data represents a natural setting, if yes then it has high ecological validity
can the results be used to predict things about the participants future behaviour?
34
what is meant by application to real life?
whether or not the data/findings can be usefully applied to support a theory or to explain a real like phenomena or to improve quality of life or outcomes for society
35
reliability
whether or not the theory/study can be tested again and get the same results
if yes, it can be tested for reliability.
36
inter-rater reliability
whether or not there are multiple observers/researchers agreeing on behaviour
37
what is a lab experiment?
a study taking place in an artificial setting, using artificial tasks
very tight control over variables
collect quantitative data
aim to establish cause and effect
allows for future predictions
38
what is an aim?
the purpose of the study
It can be considered unethical to not tell participants your full aim
39
advantage of a lab experiment
high reliability as extraneous variables can be controlled tightly and procedures are standardised
high internal validity as there are no extraneous variables and there is lots of control.
40
limitation of a lab experiment
low ecological validity as it can be too controlled
(not real life setting)
41
what is a field experiment?
similar to lab experiments, but conducted in a more real life setting
e.g. public transport
aim is to establish a cause and effect relationship between IV and DV in a real life setting
participants are usually not aware they’re in the experiment.
42
what is an advantage of a field experiment?
high ecological validity as setting is more realistic and applicable and participants are in their normal environment, therefore behaviour is more realistic.
43
what is a limitation of a field experiment?
low internal validity as there is less control than lab experiments
extraneous variables are more likely to distort findings
harder to establish cause and effect relationship.
44
what is a natural experiment?
participants are in their natural everyday environment
experimenter has no control over variables.
45
what is an advantage of a natural experiment?
highest ecological validity due to lack of involvement of researcher
findings can be easily generalised to other real life settings
46
what is a limitation of a natural experiment?
experimenter has no control control over variables
low reliability as some events are rare and may only occur once
ethical issue that participants aren’t aware they are involved
low internal validity as little control over variables and can’t be sure of cause and effect
47
what is a quasi experiment?
when the researcher is interested in an independent variable that is naturally occurring and cannot be manipulated.
e.g. gender, age phobias
DV is measured in lab
48
what is an advantage of a quasi experiment?
high internal validity as can be in controlled conditions, control over extraneous variables
allows for cause and effect between IV and DV
reliability as there is high control and instructions and procedures are precise
49
what is a limitation of a quasi experiment?
no way to show casual relationship as there could be extraneous variables, therefore cannot show a casual relationship as there is no direct manipulation of IV.
the IV is naturally occurring.
50
what is a strength of independent group designs?
order effects aren't a problem, participants are less likely to guess the aim
reduced chance of demand characteristics.
51
what are limitations of independent group designs?
individual differences
e.g. some people may all have good memory
economically lower as have to use 2x more participants than repeated measures design
52
how can we deal with individual differences during independent group designs?
make groups as random as possible
53
what are strengths of repeated measure design?
individual differences are not an issue
economically better as fewer participants are needed
54
what is a limitation of repeated measure design?
order effects
participants can find out aim through tasks
effect of first conditions can last through second e.g. eating chocolate to improve memory
55
how can we deal with the limitations of repeated measures design?
counterbalancing:
-Split participants
-Half complete A first and half complete B first
-Data will average itself out controlling for practice and fatigue
56
what are the strengths of matched pairs design?
no order effects as not repeating conditions
extraneous variables are more controlled because people are paired before joining one condition
57
what is a limitation of matched pairs design?
no two people will be the same, can't match exactly
time consuming
expensive
58
how can we deal with the limitations of matched pairs design?
prioritise important variables to control
e.g. not having participants with brain damage for testing memory
59
what are the 5 ways we can present quantitative data?
bar chart
histogram
line graph
tables
scattergram
60
what do tables consist of?
raw data that hasn't been statistically analysed
can have measures of central tendencies and dispersion.
61
what does a bar chart consist of?
represents discrete data, it has frequencies of each item.
it can show percentages, 2 values together
62
what does a histogram consist of?
continuous data
63
what does a line graph consist of?
continuous data
can compare 2 or more frequencies
64
when is a scatter graph used?
when conducting a correlation analysis
65
what is a correlation?
illustrates the strength and direction of an association between two or more co-variables
66
what does a positive correlation mean?
when one co-variable increases, so does the other
e.g. the number of people in a room and noise tend to be positively correlated
67
what does a negative correlation mean?
as one co-variable increases, the other decreases
68
what does a zero correlation mean?
there is no relationship between the two variables.
69
what is the difference between an experiment and a correlation?
in an experiment the researcher controls or manipulates the IV in order to measure the effect on the DV
as a result of this deliberate change in one variable it is possible to infer that the IV caused any observed changes in the DV.
for a correlation there is no manipulation of one variable and therefore it isn't possible to establish a cause and effect relationship between one co-variable and another
70
what are the strengths of correlation?
useful preliminary tool for research
provides a precise, quantifiable measure of how two variables are related
relatively quick and economical to carry out
71
what are weaknesses of correlation?
can only tell us how variables are related, but not why.
can be occasionally misused
72
what is a correlational hypothesis?
there is no IV or DV
hypothesis has to state expected relationship between variables, but co-variables which must be operationalised
can be directional or non-directional
73
what is a null hypothesis?
no relationship between variables.
74
what is a directional hypotheses?
a one tailed hypotheses
75
what is a non-directional hypotheses?
a two tailed hypotheses
76
6 types of observation
natural
structured
overt
covert
participant
non participant
77
what is a natural observation?
watching behaviour in the participants natural setting
most observations are natural because natural behaviour is what is required.
no manipulation by researcher and nothing is set up
they can collect qualitative data or quantitative data
78
what are strengths of a natural observation?
have higher ecological validity as setting is natural
collect rich and in depth data, increases validity
79
what are weaknesses of a natural observation?
difficult to test for reliability because they have no controls
if data collected is qualitative then there may be interpretation bias of the findings
80
what is a structured observation?
watching behaviour in a controlled and artificial way e.g. using a one way mirror
situation can be repeated, no manipulation of IV
there is manipulation of setting and situation
can collect qualitative and quantitative data
81
what are strengths of a structured observation?
better reliability as it is controlled
situation can be recorded to refer back to, increases reliability
82
what are weaknesses of a controlled observation?
low ecological validity, unnatural setting and doesn't represent real behaviour
qualitative data may involve interpretation bias, subjective
83
what is a covert (closed) observation?
watching behaviour when the observer is kept a secret from the participants
can collect qualitative and quantitative data
84
what are strengths of a covert observation?
more likely to display more natural behaviour, lessens chance of demand characteristics
higher validity as more natural behaviour is displayed
85
what are weaknesses of a covert observation?
usually unethical as can't get informed consent, debrief participants or give them the right to withdraw
observer may miss information due to their positioning and trying to remain hidden
if qualitative data then interpretation bias can occur, subjective
86
what is an overt (open) observation?
watching behaviour when participants know that they are being watched and possible why.
can collect qualitative and quantitative data
87
what are strengths of an overt observation?
ethical observations as they can get informed consent, debrief participants and they can withdraw at any time as they are aware that they are being watched
high ecological validity as they are usually carried out in a natural setting
88
what are weaknesses of an overt observation?
could lead to unnatural behaviour because participants know they are being watched, low validity
demand characteristics may be an issue
may be interpretation bias if qualitative data is collected
89
what is a participant observation?
watching behaviour where the observer is a participant in the study, they are involved in the activity as well as observing behaviour
they may use a secret camera to record the situation as they are taking part in the study
can collect qualitative and quantitative data as they watch back recording
90
what are strengths of a participant observation?
high validity as it is a first hand experience of the situation which would give a rich account of the study
participants are unaware they're being watched so behaviour would be natural, which gives the observation high ecological validity.
91
what are weaknesses of a participant observation?
collecting qualitative data may involve interpretation bias in gathering and analysing as it is subjective
observer can be noticeable, behaviour may change, may affect validity as it is not measuring real behaviour
92
what are the aims of peer reviewing?
to allocate research funding
to validate the quality and relevance
to suggest amendments or improvements
93
describe the peer review aim of 'to allocate research funding'.
decides whether or not to award funding for a proposed research project
may be coordinated by government-run funding organisations such as the medical research council
94
describe the peer review aim of 'to validate the quality and relevance of research'
all elements of research are assessed for quality and accuracy:
1. formulation of hypotheses
2. methodology chosen
3. statistical tests used
4. conclusions drawn
95
describe the peer review aim of 'to suggest amendments or improvements'.
reviewers may suggest minor revisions of the work and improve the report
in extreme circumstances they may decide that the work is inappropriate and should be withdrawn
96
what are the 3 evaluation points of peer review?
anonymity
publication Bias
burying ground-breaking research
97
describe the peer review evaluation point of anonymity
usually the peer reviewing remains anonymous so it is likely to be more honest
anonymity can be used to criticise rivals
many researchers are in direct competition for limited research funding, for this reason, some journals favour a system where reviewer’s names are public
98
describe the peer review evaluation point of ‘publication bias’
natural tendency for editors to want to publish headline grabbing findings to increase credibility and circulation of their publication
they prefer to publish positive results which could mean some research that doesn’t meet the criteria is disregarded
this creates a false impression of current state of psychology if editors are selective
99
describe the peer review evaluation point of burying ground-breaking research.
peer review process may suppress opposition to mainstream theories to maintain status quo
reviewers may be critical of research that opposes their perspective
established scientists are more likely to be chosen as reviewers, particularly by prestigious journals and publisher therefore new findings are less likely to be passed than current findings.
100
how could research into eye witness testimony have implications for the economy?
improving EWT can lead to more accurate eye witnesses and therefore money saved in police resources, because they will be looking for the correct people/person.
101
what will happen if the cognitive interview is developed?
if the cognitive interview is more effective than the standard police interview then time and, therefore money, could be saved by doing more effective interviews
102
how could understanding minority influence lead to implications for the economy?
minorities can advocate change that will benefit the economy
by understanding how a minority can bring about change minorities can be encouraged to make changes that will save more money
e.g. environmentalists and recycling saved money by recycled goods rather than buying something new
103
Bowlby’s view that children need their mothers led to women feeling like they needed to stay at home
what effect could this have on the economy?
if mothers are staying at home then they aren’t working and contributing to taxes etc.
104
later research showed that actually children are generally fine as long as they have a good substitute carer.
what could this mean for the economy?
it could mean that mothers are able to work and therefore they are adding to the economy through taxes
also if they are working it aids the businesses by having a workforce.
105
how could research into “smart machines” affect the economy?
it could lead to saving money for businesses as they have machines to do jobs to save money
e.g. CCTV facial recognition
106
what are the types of review process?
single blind review
double blind review
open review
107
what is a single blind review?
reviewer is anonymous
and can intentionally be harsh
108
what is a double blind review?
researcher and reviewers are anonymous
researcher can still be identified by style of writing
109
what is an open review?
no identity is hidden
biased viewpoints
110
what are inferential statistics?
used to test probability that results were not due to chance
111
what is meant by significance?
in statistics, a result is called statistically significant if it is unlikely to have occurred by chance
112
what is a probability level used for?
helps to see the size of ‘chance’ that may affect the results.
113
what is the accepted level of probability in psychology?
5% (0.05)
even if we find a significant difference or relationship within the data, there is still up to 5% probability that it could have occurred by chance
in some cases the researcher needs to be more confident in their experiment/results so probability should be less than or equal to 1% (0.01)
114
what is the sign test?
a simple stats test to help us determine whether a difference we have found is significant
115
what must you do to use the sign test?
1. look for a difference rather than an association
2. must have used repeated measures design
3. must be using nominal data (data organised categorically)
116
what is the critical value?
value to be achieved for significance found in the table of critical values, we need to know N (the number of participants) the probability (5%) and whether the test is one tailed or two tailed
117
what is the sign test calculated value (s)?
for the sign test, the calculated value (s) has to be equal to or lower than the critical value to be significant
if this is the case we can accept our experimental hypotheses (H1)
if not, we need to accept our null hypotheses (H0)
118
what is meant by inter-rater reliability?
the agreement between others on the recording of an event
119
what are general observations?
behaviour is being watched by an observer in a controlled or natural setting
behaviour is spontaneously occurring and is not set up or manipulated in any way
120
what are the two ways you can record data?
tallying behaviour - quantitative data
writing down quotes or telling the story of what is happening - qualitative data
121
how can data be controlled?
by using event sampling:
drawing up a list of behavioural categories and tallying every time each of the behaviours occurs in a specific amount of time
by using time sampling:
counting behaviours at regular intervals such as every 5 seconds or 8 minutes
or they may take different samples throughout the day or month
122
what should behavioural categories be?
objective - recording behaviour through clear actions
cover - cover all behaviour possibilities
mutually exclusive- only one record one category at a time
123
what is a likhert scale?
a 5 point scale used to assess attitudes and views.
e.g.
strongly disagree
disagree
neither agree nor disagree
agree
strongly Agree
124
what are case studies?
in depth investigations of a single person, group, event or community
125
describe what cases studies are
they allow a researcher to investigate a topic in more detail.
involve a detailed study on one person or a small group
collects qualitative data because notes are written about the patient on their behaviour, actions and abilities which produces rich and in depth data
can also collect quantitative data when given a task to complete
126
what is triangulation?
where researchers use lots of methods within one case study e.g observations and experiments
this allows the researcher to pool data about the patient
they can look for themes, characteristics and problems.
127
what does a longitudinal case study mean?
the patients are studied for a long period of time
128
what are strengths of a case study?
rich data, can get lots of detail
unique cases, these can challenge existing ideas and suggest new ideas for research
ecological validity - in a natural environment
129
what are weaknesses of case studies?
reliability - cant repeat a case study
cannot establish casual relationship - no control over variables
lack of generalisation- only a single person so it’s hard to generalise findings
ethics - informed consent can be difficult to obtain if they have a disorder
130
what is a pilot study?
w test before the actual experiment
w small scale experiment so the researcher can see if what they are doing will work
131
what are the reasons for pilot studies?
check participants understand instructions
check the materials are correct/appropriate for experiment
test their test works
ask participants about their experience taking part
test to see there are no extraneous variables
to see if they would get a result
tackle problems to save time and money
132
to get informed consent, what information does an experimenter need to include?
what the data will be used for
full aims
procedure
right to withdraw
ensure participants have signed consent form
133
what is an alternative to informed consent?
presumptive consent- assuming consent of participant by asking a group of people about the nature of the experiment.
134
if a study has deceived participants, what should be included in debriefing?
the nature of the experiment
reasons for deception
additional support
135
when should participants be told they can withdraw at any time?
beginning , during and end of experiment.
136
when participants choose to withdraw from the experiment, what can they also withdraw?
their data and personal information
137
if an experiment has left participants feeling distressed, what should the experimenter offer?
when should this be offered?
they should offer support e.g. helplines
During debriefing
138
what is an anonymity code?
a code that only the participant and experimenter understand the meaning of
tt refers to the participant and is a way of maintaining confidentiality.
139
what are the positives of calculating a mean?
takes into account all of the scores, good measure of centrality, sensitive to data
Distribution can only have one mean
140
what is a limitation of calculating a mean?
extreme score can occur and change data.
141
what is a positive of calculating the median?
not affected by extreme scores
142
what is a negative of calculating the median?
it does not take into account the precise value of each observation and hence does not use all information available in the data.
143
what is a positive of calculating the mode?
not affected by extreme score
144
what is a negative of calculating the mode?
not useful when there are several modes (bimodal distribution)
145
how do you calculate the range in psychology?
take the lowest value from the highest and add one.
146
what is a positive of calculating the range?
very easy to calculate/process
147
what is a negative of calculating the range?
only takes into account two most extreme values and may be unrepresentative of data as a whole.
148
what is a positive of standard deviation?
more precise compared to range
gives accurate idea about how data is distributed
149
what is a negative of standard deviation?
included all values and can be distorted by a single extreme value.
150
describe a left (negative) skew
mode remains at highest point on peak
median comes next
mean has been dragged left
bulk of scores on left
151
describe a right (positive) skew
mode is highest point on peak
mean is dragged to right
median in middle
bulk of scores concentrated on right
152
what are strengths of quantitative data?
easier to compare than qualitative data
less time consuming
less open to interpretation bias - objective
easy to analyse, can calculate averages
153
what are weaknesses of quantitative data?
not very data rich
may fail to represent real life, oversimplified
closed questions force people to make a response
154
what are strengths of qualitative data?
more data rich
accurate to real life
people can openly discuss their ideas, unrestricted answers
155
what are weaknesses of qualitative data?
chance of interpretation bias
time consuming
harder to compare
156
what are strengths of primary data?
more relevant for study taking place - specific
won’t be out of date
157
what are weaknesses of primary data?
more time consuming
lest cost efficient
could be hard to obtain if people aren’t willing to participate
ethical issues
limited to how many participants are available
158
what are strengths of secondary data?
Lest time consuming
Cost efficient
Can get a larger data base as gov has access to more people
159
what are weaknesses of secondary data?
may be less relevant for study
may be out of date or
inaccurate
researcher can’t personally check reliability
160
what is a systematic review?
a review following a system of collecting data/information
review =formal assessment
161
how can a review be conducted?
1. the researcher poses an aim
2. looks for studies within journal articles that have similar aims and hypothesis
3. analyses data and concludes a review
162
what is a meta analysis? (secondary data)
statistical technique for combining findings of several studies in a research area
163
what does a meta analysis create?
an effect size.
it is posed at the end of the review. It is the dependent variable produced.
e.g a program promoting healthy eating concluded that eating an apple a day reduces digestion problems by 45%
164
what is a self report?
when an individual provides information about themselves to (usually) a second party.
165
what does a questionnaire involve?
a pre-set list of written questions to which a participant responds.
they are used to assess thoughts and/or feelings.
may be used to assess dependent variable e.g. whether views on topics are different in older or younger people
166
what is an open question?
doesn’t have a fixed range of answers, respondents are free to answer in any way they they wish.
more qualitative data
may be hard to analyse
167
what is a closed question?
a question with a fixed number of responses, yes or no
provides quantitative data, easy to analyse
may lack depth and detail
168
what are strengths of questionnaires?
cost effective
gather large amounts of data quickly, can be distributed to lots of people
can be completed without experimenter being present, reduces effort
easy to analyse
169
what are limitations of questionnaires?
responses may not always be truthful, may want to be presented better, demand characteristics - social desirability
response Bias
complete responses too quickly, acquiescence bias (the tendency for survey respondents to agree with research statements, without the action being a true reflection of their own position or the question itself)
170
what are the three types of interviews?
structured
unstructured
Semi structured
171
what are structured interviews?
pre-determined questions, asked in a fixed order
172
what are unstructured interviews?
like a conversation, no set questions
has a general aim
participants are encouraged to expand on answers
173
what are semi-structured interviews?
a mixture of structure and no structure
follow up questions
(job interview)
174
what are strengths of structured interviews?
easy to replicate as a fixed set of closed questions are used, which are easy to quantify – this means it is easy to test for reliability.
fairly quick to conduct which means that many interviews can take place within a short amount of time
this means a large sample can be obtained, resulting in the findings being representative and having the ability to be generalised to a large population
175
what are limitations of structured interviews?
not flexible, this means new questions cannot be asked during the interview as an interview schedule must be followed
the answers from structured interviews lack detail as only closed questions are asked, which generates quantitative data, this means a researcher won’t know why a person behaves a certain way
176
what are strengths of an unstructured interview?
more flexible as questions can be adapted and changed depending on the respondents’ answers, the interview can deviate from the interview schedule
generate qualitative data through the use of open questions, this allows the respondent to talk in some depth, choosing their own words, this helps the researcher develop a real sense of a person’s understanding of a situation
they also have increased validity because it gives the interviewer the opportunity to probe for a deeper understanding, ask for clarification & allow the interviewee to steer the direction of the interview, etc. interviewers have the chance to clarify any questions of participants during the interview.
177
what are limitations of an unstructured interview?
it can be time-consuming to conduct an unstructured interview and analyse the qualitative data
employing and training interviewers is expensive and not as cheap as collecting data via questionnaires. for example, certain skills may be needed by the interviewer. these include the ability to establish rapport and knowing when to dive deeper
interviewers may bias the respondents’ answers, but interviewees may develop demand characteristics and social desirability issues.
178
what makes a good questionnaire?
avoiding double negatives. e.g. “I am not unhappy”
avoiding double-barrelled questions, two questions in one
easy to read
good grammar
avoiding ambiguous and technical words/jargon
179
how can an interview be recorded to ensure the results are accurate?
need consent to record the interview
could have 2 people, one to ask and one to write
pre-made table to record results
180
how can an interviewer try to avoid interviewer bias?
don’t change tone of voice
structured interview
181
how can an interviewer control extraneous variables?
control the environment:
same time of day
Quiet
same lighting
same temperature
182
what is rapport?
a close relationship where the people or groups concerned understand each others feelings or ideas and communicate well.
183
how could an interviewer help the participant be more honest?
reinforce confidentiality
make sure they are relaxed
build up rapport
184
what are ethics?
standards (correct rules) that concern any groups of professions, regarding what is right and wrong in their field
185
what are issues?
conflicts between two or more points.
186
what are ethical issues?
conflicts regarding the correct standards in a profession.
The British Psychological Society set standards for psychological research
187
what does the ethics form before research include?
demographics
details of proposed study
harms, hazards and risk
confidentiality and consent
188
credibility
how believable it is
189
what does objective mean?
factual
190
what does subjective mean?
opinion
191
what is informed consent?
involves making participants aware of the aims of the research, the procedures, their rights (including the right to withdraw) and also what their data will be used for
192
what are the problems with informed consent?
may lead to demand characteristics
participants may not understand consent form
all risks may not be pointed out
not revealing aim or method can lead to harm
193
what is meant by deception?
deliberately misleading or withholding information from participants at any stage during the investigation
lying to participants disables the informed consent
sometimes it can be justified if it doesn’t cause undue distress
194
what are problems with deception?
lying to participants may create bad reputation for psychologists
participants consent may not be valid as they haven’t been able to give “true” consent.
195
what is meant by right to withdraw?
participants can be removed from the investigation if they wish
they can withdraw their data
196
what is meant by debriefing?
telling participants anything they have missed out at the end of the experiment
197
what is meant by confidentiality
participants have the right to control information about themselves, this is the right to privacy
data is kept for 7 years.
data shouldn’t be leaked.
participants should be reassured
198
what is meant by competence?
having the ability to carry out the research in order to avoid invalid results
199
what is meant by protection from harm?
as a result of their involvement, participants should not be placed at any more risk than they would be in their daily lives, and should be protected from physical and psychological harm
200
what is meant by privacy?
cant invade personal life of participants
research procedure may tap into inaccessible and very personal areas of a person
201
what is a non-participant observation?
watching behaviour when the observer is not part of the situation.
they sit away from the activity and record behaviour.
can collect quantitative and qualitative data.
202
what are strengths of non participant observations?
they can be objective as observer can stand back and not get involved, opinions likely to be neutral
can record data much easier compared to participant observation as not involved in situation.
203
what are weaknesses of non participant observations?
may involve interpretation bias in gathering and analysing findings, subjective
observer can be noticeable therefore behaviour may change as participants know they are being observed, this can affect validity as not measuring real behaviour.
