research methods Flashcards

1
Q

features of experiments

A
  1. Experimenters compare data collected from 2+ experimental groups
    with data collected in a control group to make conclusions
    about causality
  2. Control groups provide baseline
  3. IVs are manipulated and DVs are
    measured.
  4. The DV is measured with the belief that any difference
    is caused by the IV
  5. Standardised procedures and instructions are often used to give
    participants the same experience.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

what is a lab experiment

A

Maintained where the experimenter has a high level of
control

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

strengths of lab experiment

A
  1. Ethics – participants give
    consent, but its not always informed. The
    right to withdraw is often given
  2. Reliability – procedures ave
    standardised instructions and procedures,
    giving consistency
  3. Validity – a high level of control allows
    causality to be shown
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

weakness of lab experiment

A
  1. Ethics – there may be deception of the
    aim of the study to ensure validity
  2. Validity – artificial conditions can produce unnatural behaviour,
    lowering ecological validity
  3. Validity – features of the environment
    may reveal the aim, leading to demand characteristics
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

what is a field experiment

A

an experiment that takes place in natural settings

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

strengths of a field experiment

A
  1. Validity – participants do not know they are taking part,
    so they are less likely to show demand characteristics.
  2. Validity – there is high ecological validity as
    participants are in their everyday environment.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

weakness of field experiment

A
  1. Ethics – participants often don’t know they are taking
    part so this removes their right to withdraw and
    debriefing is often impossible.
  2. Reliability – there is less control over extraneous
    variables, so research is difficult to replicate
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

what is independent measures design

A

Each participant takes part in one group/condition of the independent variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

what are experimental designs

A

how participants are allocated to groups/conditions
of the independent variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

3 types of experimental design

A
  1. repeated measures,
  2. independent measures
  3. matched pairs
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

strengths of independent measures desin

A
  1. Validity: no ordegn effects as participants take
    part in only one condition e.g. fatigue, boredom, or
    practice effects.
  2. Validity: Less chances of demand characteristics
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

weaknesses of independent measures design

A
  1. Validity: More participants are needed to get data.
  2. Validity: No control for participant variables.
    eg. participants in one group may be naturally
    better at the task given.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

how can you eliminate participant variables in independent measures

A

Random allocation: done by tossing a coin or allowing a computer to
allocate groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

what is repeated measures design

A

Each participant takes part in all conditions of the IV

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

strengths of repeated measures

A
  1. Validity: Participant variables are
    controlled as the same people do both
    conditions.
  2. Fewer participants are needed, which is
    useful if samples are limited
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

weaknesses of repeated measures

A
  1. Validity: Order effects can occur, so demand characteristics increase
  2. Apparatus may need duplicating
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

how can you eliminate order effects in repeated measures

A

counterbalance conditions. Half the participants first experience condition A
and then condition B, while the other half do B then A.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

what is matched pairs design

A

Participants are matched for variables that could affect the results. Then, each
participant takes part in only one condition of the IV.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

strengths of matched pairs design

A
  1. Validity: Participant variables are
    controlled.
  2. Validity: No problems with
    order effects.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

weaknesses of matched pairs design

A
  1. Validity: Not all
    relevant variables may be able to be matched.
  2. It can be difficult and time-consuming to find participants.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

what are a self reports

A

Allow participants to respond to questions about their beliefs and
opinions, and discuss their behaviours.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

2 types of self reports

A
  1. questionnaire
  2. interview
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

features of questionnaires

A
  1. Questionnaires can be done by hand or online.
  2. How questions are asked depends on the type of response/data the researcher wants.

3.Data can be quantitative or qualitative .

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

strengths of questionnaires

A
  1. Questionnaires can obtain views from
    a large sample
  2. Anonymity can lead to more honest
    answers.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
weaknesses of questionnaires
1. Participants may not elaborate on answers when writing, limiting depth of the data. 2. Participants may give socially desirable answers, not reflecting their own views/beliefs.
26
things to consider in a questionnaire
1. Leading questions should be avoided to increase validity as these suggest a correct answer. 2. Questions should be clear and understandable, so they should avoid ambiguity. 3. Anything offensive or upsetting in the questions should be avoided to prevent distress.
27
types of questions
1. closed 2. open
28
what are closed questions
they offer pre-determined answers for the participant to choose from.
29
forms of closed questions
1. Yes/No 2. Category choice 3. Likert/rating scale
30
what is a forced/fixed choice question
Scales do not allow answers like ‘unsure/undecided’ and are intended to ‘force’ the participant to make a response.
31
strengths of closed questions
1. Data is quantitative and can be analysed and displayed visually 2. Forced choice questions prevent participants from avoiding questions.
32
weaknesses of closed questions
1. A limited choice of categories can reduce validity. 2. Participants may not be able to freely express their opinions
33
what are open questions
Participants can express their opinion freely without pre-determined responses. ‘Why’, ‘describe’ and ‘how’ are used in the questions to give qualitative answers.
34
strengths of open questions
1. Data is qualitative-more insight. 2. Participants can give different opinions, so researchers can understand the complexity of an issue.
35
weaknesses of open questions
1. Data is harder to analyse 2. Data may be open to interpretation.
36
how can you distribute questionnaires
1. online 2. in person 3. postal
37
online questionnaire distribution
Online: sending out email requests/online advertisements to complete online. Strength: access to a large group and easily completed/returned. Weakness: only targets those online.
38
in person questionnaire distribution
approaching face to face and asking them to complete it. Strength: lower costs. Weakness: limits the sample to those available at the time.
39
postal questionnaire distribution
sent via the postal system to be returned. Strength: can target specific groups. Weakness: expensive and takes time for people to return.
40
types of interviews
1. structured 2. unstructured 3. semi structured
41
structured interviews
Fixed questions are pre-prepared and every participant receives the same questions in the same order. Strength: standardized as all participants receive the same questions, increasing reliability. Weakness: do not allow participants to elaborate on interesting answers.
42
unstructured interviews
There is no preparation. Questions are asked depending on the direction in which the discussion goes. Strength: allow researchers to gain an insight into the area they are researching, not constrained by set questions. Weakness: there is more risk of researcher bias.
43
semi structured interviews
Some structured questions and some unstructured questions Strength: allow researchers to gain insight into the area. Weakness: at more risk of researcher bias
44
strengths of interviews
1. Interviews can gather rich, in-depth data. 2. The participant can explain their behaviour.
45
weaknesses of interviews
1. There is an increased likelihood of socially desirable answers as participants will be afraid of being judged. 2. Researchers have to be cautious of leading questions.
46
what is a case studies
detailed investigations involving a single ‘unit’: one individual or a group/organisation of people.
47
features of case studies
1. Useful when researching rare cases 2. Triangulation- Data is gathered using a number of different techniques 3. Data is often gathered over an extended period of time (making them longitudinal) 4. Both qualitative and quantitative data can be gathered. 5. Data can be gathered from the participants but also from family, friends and official records 6.Often begin with a case history
48
strengths of case studies
1. Validity – a case study provides rich and detailed information giving insight into an individual’s psychology. 2. Validity – a case study provides rich and detailed information giving insight into an individual’s psychology.
49
weaknesses of case studies
1. Validity – researcher bias can occur as they work closely with the participant- less objectivity 2. Reliability – case studies are difficult to replicate as they are detailed analyses of one individual/small group.
50
what is an observation
Data is collected through observing (watching) participants with the aim of recording the behaviour shown.
51
features of an observation
1. overt or covert 2. participant or non-participant 3. structured or unstructured 4. naturalistic or controlled
52
what is an overt observation
when the participants know they are being observed.
53
what is a covert observation
where the participants do not know they are being observed
54
strength of overt observation
more ethical as participants know they are being observed, which avoids deception
55
weakness of overt observation
may produce demand characteristics as participants know they are being watched so may act unnaturally
56
strength of covert observation
avoid demand characteristics as participants do not know they are being observed.
57
weakness of covert observation
less ethical as participants do not know they are being observed and cannot withdraw.
58
what is participant observation
when the observer becomes part of the community they wish to observe
59
what is non-participant observation
when the observer is not a part of the group and they observe from a distance
60
strength of participant observation
observers may gain a greater understanding of the participants’ behaviour as they are involved in the situation
61
weakness of participant observation
observers may become too involved with those they are observing and become less objective.
62
strength of non-participant observation
observers are more likely to be objective as they are not personally involved in the situation.
63
weakness of non-participant observation
observers may miss behaviours as they are observing from a distance
64
what is a structured observation
have behavioural checklists in place before beginning the observation. A tally is kept of behaviours. Researchers plan what will be observed.
65
what is unstructured observation
do not include planning before the observation and the observer records behaviour that is relevant to the aim of the research as it occurs
66
strength of unstructured observation
can be part of a pilot study, giving an overview of the range of behaviours
67
weakness of unstructured observation
can be difficult to record all behaviour
68
strengths of structured observation
more reliable than unstructured ones as the behaviours are decided in advance and operationalised. Inter-rater reliability can be assessed.
69
weakness of structured observation
may not include all relevant actions within the behavioural categories.
70
what is a naturalistic observation
conducted in real-world settings
71
what is a controlled observation
conducted in laboratory settings
72
strength of naturalistic observation
record behaviour that is likely to be normal, increasing ecological validity
73
weakness of naturalistic observation
harder to control for extraneous variables that may affect participants’ behaviour, lowering the validity
74
strength of controlled observation
can be replicated by others when using the same behaviour schedule
75
weakness of controlled observation
may be less natural if participants are aware of the controlled setting
76
what are correlation studies
studies look at the relationship between variables
77
features of a correlation
1. Variables that are correlated are called co-variables. 2. For each participant, two sets of data are gathered which can be plotted on a scatter graph to see a correlation 3. Various methods are used to collect data in correlations eg. questionnaires
78
positive correlation
is when the scores of co-variables move in the same direction
79
negative correlation
when the scores of the co-variables move in opposing directions
80
no correlation
no consistent relationship is found between scores.
81
strengths of correlation
1. Correlations can provide information that may prompt further research. 2. Correlations allow areas to be researched when it is impractical or unethical to manipulate variables.
82
weaknesses of correlations
1. Correlations do not tell us why that relationship has occurred. Causality cannot be assumed. 2. A third variable not being measured may have influenced the relationship.
83
what is a longitudinal study
studies conducted over an extended period of time
84
features of longitudinal studies
1. Measures at different points in time can track the development of individuals. 2. Changes in thoughts, feelings and behaviours can be documented. 3. Various techniques can be used
85
strengths of longitudinal studies
1. do not have participant variables as the same individuals are followed over time. 2. allow topics such as child development to be studied.
86
weaknesses of longitudinal studies
1. Participant attrition is more likely as participants may move away or lose contact. 2. Temporal validity may impact on the findings
87
what is an aim
a statement describing the purpose of research
88
what is a hypothesis
testable statement predicting the outcome(s) of an investigation
89
what is operationalisation
This means clearly defining the IV, DV and co-variables
90
types of hypotheses
1. experimental 2. alternative 3. directional 4. non-directional 5. null
91
what is an experimental hypothesis
predict an outcome for experiments (IV and DV)
92
what is an alternative hypothesis
the alternative to the null hypothesis and used for all types of research
93
what is a directional hypothesis
states the kind of difference/correlation
94
what is a non-directional hypothesis
there will be a difference/correlation but does not state the direction of the difference or relationship
95
what is a null hypothesis
states there is no significant relationship/difference and that results are due to chance
96
why is controlling variables important
improves validity. experimenters should control as many extraneous variables as possible.
97
what is a way to control variables
standardisation.
98
what is standardisation
to ensure participants have the same experience. 1. The only difference should be the IV 2. Participants should be given the same instructions.
99
name 2 uncontrolled variables
1. situational 2. participant
100
what is a situational variable
a factor in the environment can act as an extraneous variable
101
how can situational variables be controlled
using standardised procedures, ensuring the same conditions for all participants
102
what is a participant variable
The participants in one group may be different from participants in the other group in important ways.
103
how can participant variables be controlled
1. random allocation to groups 2.matched pairs design 3. repeated measures design
104
types of data
1. quantitative 2. qualitative 3. subjective 4. objective
105
what is quantitative data
describes human behaviour and experience using numbers and statistical analysis can be measured
106
strengths of quantitative data
1. Scores can be compared. 2. Results can be compared if the study is replicated. 3. Numbers and statistics are more objective and less prone to researcher bias. 4. It is more scientific as statistical tests can be conducted.
107
weaknesses of quantitative data
1. It does not always allow us to understand what a participant is thinking or feeling. 2. Scales may limit how participants can respond, reducing validity 3. Reduces behaviour to a single number, failing to find out why a participant has behaved a particular way.
108
what is qualitative data
descriptive, in-depth detail of behaviour and experience not measured
109
strengths of qualitative data
1. Provides an in-depth understanding of the thoughts and feelings of participants. 2. Can be rich in detail and insightful, so not reductionist. 3. Researchers can understand why people behave in a certain way.
110
weaknesses of qualitative data
1. Analysis is prone to researcher bias as the interpretation is more subjective 2. Statistical analysis cannot be made- so less scientific. 3. Studies are harder to replicate so findings can be less reliable
111
what is subjective data
data that can be influenced by personal thoughts, feelings or opinions likely to be qualitative data
112
what is objective data
data that is unbiased and factual. often quantitative.
113
how can objectivity be improved
by getting another researcher to interpret the data, removing researcher bias
114
what is a sample
a group selected to represent the target population and findings from the studied group should be generalisable to the target population.
115
types of sampling techniques
1. opportunity 2. random 3. volunteer (self-selecting)
116
what is opportunity sampling
selecting those available at the time of research
117
evaluate opportunity sampling
-Strength: a large sample can be obtained quickly and without much effort. -Weakness: researchers may choose people who look suitable and therefore bias the sample.
118
what is random sampling
Each participant is randomly selected from the target population. Every member of the group has an equal chance of being selected
119
evaluate random sampling
-Strength: more likely to be representative. -Weakness: some of the people picked may not want to take part and will need replacing
120
what is volunteer sampling
asking for volunteers to take part in research through advertisements
121
evaluate volunteer sampling
-Strength: useful when the research requires participants of a specific type or with a particular experience. -Weaknesses: people may not see the advert or make time to reply, or they may just ignore it. Those who do volunteer may be different from those who do not choose to volunteer.
122
name 7 ethical guidelines relating to humans
1. valid consent 2. right to withdraw 3. minimizing harm 4. lack of deception 5. confidentiality 6. privacy 7. debriefing
123
valid consent
Participants should be asked if they want to take part and be given relevant information about what is involved. Consent should be provided before collecting data
124
right to withdraw
Participants should be made aware they can withdraw from the study at any time during or after data collection
125
minimising harm
Researchers must minimise harm to participants’ psychological wellbeing, personal values, privacy or dignity and mental health. The risk of harm should be no greater than the participant might expect in their everyday lives.
126
lack of deception
Participants should not be deceived about the aims or misled about the study. When deception is involved, a full debrief is needed.
127
confidentiality
Participants’ data should not be passed to others who are not involved in the research and it should not be published in a way that would reveal their identity.
128
Privacy
Considered within observational research. Participants should only be observed in public situations where they might expect to be observed by others.
129
debriefing
Participants should be told what has happened, asked if they have concerns and given explanations at the end of the study.
130
name 7 ethical guidelines relating to non-humans
1. minimising harm and maximising benefit 2. replacement 3. species (and strain) 4. numbers 5. pain and distress 6. housing 7. reward, deprivation and aversive stimuli
131
minimising harm and maximising benefit
Researchers should minimise harm, discomfort and suffering to the animals and maximise the benefit of the research
132
replacement
Alternatives to using animals should be considered where possible
133
species and strain
Appropriate species should be chosen (least likely to suffer). Nonhuman primates should be avoided due to the high level of sentience.
134
numbers
Researchers should use the smallest number of animals possible to meet the research aims. Animals should not be used over a long period of time.
135
pain and distress
Death, disease and psychological or physical discomfort should be avoided. An animal’s environment should be enriched where possible.
136
housing
The social and natural behaviour of the species should be considered. Animals who would normally live in social groups should not be isolated. Overcrowding should be avoided.
137
reward, deprivation and aversive stimuli
Normal feeding patterns should be adhered to and deprivation or aversive stimulation should be avoided, or kept to the minimum.
138
what is validity
whether the observed effect is a genuine one
139
what is external validity
the extent to which findings can be generalised beyond the research setting
140
what is internal validity
the extent to which a researcher has measured what they intended to measure
141
threats to internal validity
1. social desirability bias 2. subjectivity 3. demand characteristics 4. low controls
142
social desirability bias
participants may want to present themselves in the best way possible, so answers may not represent true thoughts and feelings.
143
demand characteristics
participants will not behave as they usually do if they alter behaviour as a consequence of the cues in research.
144
types of external validity
1. generalisability 2. ecological validity 3. temporal validity
145
what is generalisability
It should be possible to apply findings to people other than the participants sometimes referred to population validity sample generalisable if its representative
146
what is ecoloical validity
the extent to which the results of research can be generalised from the environmental conditions created by the researcher to other environmental conditions. research done in real life settings has high ecological validity
147
what is temporal validity
whether the results can be generalised to a different time period.
148
what is reliability
extent to which a psychological measure gives consistent measurements
149
how can reliability be assesed
1. test-retest method- administering the same test to the same person on 2 different occasions 2. split-half method: splitting the test into two and administering each half to the same person; the scores from the two halves should be the same 3. inter-rater reliability:
150
what is inter-rater reliability
the extent to which two or more independent observers agree on the observations they have made
151
when is a study replicable
If another psychologist can carry out a study in the same way to see if they get consistent results
152
why is replicability an advantage
helps researchers show the reliability of findings
153
measures of central tendency
summarise all data into one score
154
types of measures of central tendency
1. mean -arithmetic average 2. median- middle value of a set of scores 3. mode- most frequent score
155
measures of spread
helps researchers see how similar data points are and how varied data points are
156
types of measures of spread
1. range- difference between highest and lowest score 2. standard deviation- measure of spread of data around the mean
157
how can data be displayed
1. bar charts- used wen data is in categories. Differences in measures of central tendency can be shown. 2. histograms- used when data is on a continuous scale. A distribution of scores can be shown. 3. scatter graphs- used to show correlations