Research Methods Flashcards

(54 cards)

1
Q
A

1) what the researchers intend to find out
2) precise/ testable statement on the relationship between the data and what is being measured
3) will have a significant positive or negative relationship between variable 1 and 2
4) there will be a significant positive or negative relationship between variable 1 and 2 + iv affect on dv
5) looks at the -difference- in condition or relationship between variables
6) there is no effect and no observed differences + no significant relationship between variable 1 and 2
7) not investigated but can change the outcome
8) minimised bias by seeing how well the study establishes a relationship between the variables (cause and affect only IV)
9) how much the study can be generalised beyond lab
10) operationalise each variable e.g. explain how the covariable is measures + say is positive or negitive affect of…

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2
Q

1) sample
2) target population
3) population
4) representative
5) generalisable meaning

A

1) the class
2) all students in the school
3) all young people in Britain
4) if everyone in the population is represented
5) if it can be applied to real life scenarios

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3
Q

Factors that affect choice of sample

A

1) Size of target population
-if the population itself is small- a few applicable people
-if the population itself is small- hard to find applicable people

2) Method used (case study, questionnaire)
-small sample size because very detailed about participants
-large sample size because easy to reproduce on a large scale

3) Time/ practical/ financial constraints + large affect on results
- each method of sampling different costs
- sample size of 30

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4
Q

Research Methods used
1) self reports
2) observations
3) experiments
4) correlation

A

1)
Interviews- rating scale (1-10), structured/ unstructured/ semi- structured
Questionnaires- open/ closed questions (any answer or yes/no), likert scale (e.g. strongly agree)

2)
- covert (unaware) observations, overt (aware) observations, participant/ non-participant observations, coding frame (themes in data), behavioural categories

3)
- standardised (same), controlled, i/d/e/c variable, experimental methods (field, lab, quasi)

4)
- variable 1 vs variable 2
- obtaining data for correlation analysis

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5
Q

1)
Interviews- rating scale (1-10), structured/ unstructured/ semi- structured
Questionnaires- open/ closed questions (any answer or yes/no), likert scale (e.g. strongly agree)

2)
- covert (unaware) observations, overt (aware) observations, participant/ non-participant observations, coding frame (themes in data), behavioural categories

3)
- standardised (same), controlled, i/d/e/c variable, experimental methods (field, lab, quasi)

4)
- variable 1 vs variable 2
- obtaining data for correlation analysis
ated measure design
1) definition
2) strengths
3) weaknesses
4) how to deal with 1)
Interviews- rating scale (1-10), structured/ unstructured/ semi- structured
Questionnaires- open/ closed questions (any answer or yes/no), likert scale (e.g. strongly agree)

2)
- covert (unaware) observations, overt (aware) observations, participant/ non-participant observations, coding frame (themes in data), behavioural categories

3)
- standardised (same), controlled, i/d/e/c variable, experimental methods (field, lab, quasi)

4)
- variable 1 vs variable 2
- obtaining data for correlation analysis

A

1) where participants take part in all conditions
2) good control over participant variables, few participants needed
3) order effects, condition A may be easier than condition B
4) counterbalancing

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6
Q

Matched pair design
1) definition
2) strengths
3) weaknesses
4) how to deal with weaknesses

A

1) different participants in each condition and matched on an important variable then placed in two separate groups (e.g. IQ)
2) control over the participant variables, no order effects
3) lots of participants needed, time consuming
4) restrict the number of variables being tested

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7
Q

Independent group design
1) definition
2) strengths
3) weaknesses
4) how to deal with the limitations

A

1) each group with different conditions
2) no order effects, less time consuming
3) no control over the extraneous variables, large sample size needed
4) randomise the groups

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8
Q

Lab experiment
1) aims
2) setting
3)strengths
4)weaknesses

A

1) control the independent variable to see the effect on the dependent variables
2) artificial setting- lab
3) controlled environment (other variables little effect), reliable (lab experiment so good control)
4) low ecological validity (in a lab meaning they aware so not generalisable), demand characteristics (acting like what they think is right or what they think the researcher wants)

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9
Q

Field experiments
1) aim
2) setting
3) strengths
4) weaknesses

A

1) measure behaviour in a natural environment e.g. school, streets
2) conducted outside the lab
3) high ecological validity (as it is outside a lab, this means they are unaware so the data is generalisable to real life), no demonad characteristics (acting how they think is right or how they think the researcher wants them to act)
4) not a controlled envirnment (cannot look at the affect of chaning the Independent vairable on the dependent variables)

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10
Q

Quasi experiment
1) aim
2) setting
3) strengths
4) weaknesses

A

1) having different conditions of the already existing Independent variable’s effect on the Dependent variable
2) outside the lab
3) easy to gain consent, don’t have to manipulate the Independent variable so it is very ethnical
4) difficult to set up, Independent variable cannot be manipulated

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11
Q

Random sampling
1) definition
2) strengths
3) weaknesses

A

1) every member of the target population had an equal chance of being selected
2) very representative as everyone has an equal chance of selection, easy to collect participants compared to other methods
3) not as representative as ought to be ( especially with small samples), cannot force participants to take part even if it is random

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12
Q

Opportunity sampling (convenience sampling’)
1) definition
2) strengths
3) weaknesses

A

1) selects participants easily available from target population
2) participants unaware (covert) so more valid, easier to obtain than other methods
3) all participants have something in common (time + place), risk of small sample size

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13
Q

Snowball sampling
1) definition
2) strengths
3) weaknesses

A

1) one suitable memener from target population who has aready been studies, recuits other suitable participants from the target population
2) easier to collect in some circumstances, not time consuming
3) participants have something in common (family + friends), participants are aware of the experiment

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14
Q

Self-selected sampling (volunteer sampling)
1) definition
2) strengths
3) weaknesses

A

1) when people choose to be involved
2) only way of obtaining the sample in some circumstances, easier to obtain than other methods
3) something in common (time + place), want to be involved so likely have some previous knowledge about psychology

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15
Q

Ethics is a balance between
BPS guide

A
  • the practicalities of research that will benefit science
  • our moral obligation to the to the participants

-some experiment would have been highly beneficial to psychological research but it is morally wrong e.g. forbidden experiments
-now use naturally occurring phenomenon

  • used to clarify what is ethically accpetable in phycological research and have to follow
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16
Q

Ethical guidelines have to follow

A
  • respect
  • competenece
  • responsibility
  • integrity
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17
Q

Respect

A

Informed consent
- under 18 means consent from an adult
- vulnerable adult means consent from a responsible adult
- informed what will be done + informed consent if they can release or keep the data after the experiment
- can withdraw themselves + data from experiment at any given moment

Withdrawal
- if difficulty remove participant from the exper

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18
Q

Competence

A
  • seek peer review from colleagues + BPS guide
  • monitor own lifestyle
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19
Q

Responsibility

A

Risk of harm
- should be no more than every day life for the participants
- no physical + psychological harm
- left unchanged from how entered

Informed
- if deceived told the aim, withdrawal, results

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20
Q

Confidentiality
When can be broken?

A
  • keeping part of the experiment confidential
  • safety of clients
  • clients behaviour risking safety of others
  • health, welfare, safety ( of vulnerable adults + children)
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21
Q

Integrity
Only use if?

A

Deception
- should avoid
- demand characteristics

  • efficiency
  • dissolve deception early
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22
Q

Social sensitivity
1) definition
2) advantages
3) disadvantages

A

1) topics being researched are likely to evoke strong emotional responses from participants which could have potential consequences
2) insight for personal experiences, make new policies
3) controversial, ethical issues raised

23
Q

Self report

A
  • any data collected through asking people to report their thoughts, feeling, behaviour
  • data collected through questionaries, interviews or observations

Questionnaires
- respondents record their own answers but the questions are predetermined

24
Q

Closed questions

A
  • have a fixed number of possible answers e.g. yes or no
  • quantitative data = yes or no
25
Open questions
- allows respondents to provide their own answers - qualitative data = any answer
26
Rating scale
- respondants asked to give an assessment on their views (1-5)
27
Semantic differential scale (rating scale)
- measures attitudes and opinions of respondents towards object, person idea - bipolar adjectives e.g. good-bad -interest in object 1-10
28
Likert scale (rating scale)
- measures degree of agreement or disagreement of respondent through a statement or question e.g. strongly agree, strongly disagree spectrum - set statement or question 1-5
29
1) Questionnaire 2) Strengths 3) Weakness
1) respondents record their own answer but the questions are predetermined, structured answers 2) - easily repeated so data can be collected from a large number of respondents quickly and cheaply - respondents are more comfortable revealing personal or confidential in a questionnaire than an interview means they would have to talk face to face so it would be confrontational 3) - sample may be picked as only certain people filled the questionnaire and illustrate people who are willing to spend their time filling it - issues around reliability of the answers
30
1) Closed questions 2) Strengths 3) Weaknesses
1) - have fixed number of possible answers - provide quantitative data (data can be counted) 2) - easy to analyse because data is quantitative meaning it is summarised using averages and graphs making it easier to draw conclusions 3) - may not permit people to express their perceived feeling so it doesn't under cover new information so the data would have low validity
31
1) Open questions 2) Strengths 3) Weaknesses
1) allows the respondents to provide their own answers and this means that it uses qualitative data which cannot immediately be counted 2) - provide rich details of how people behave because they have free range to express themselves - allows them to evoke what they think rather than fitting in with the limited categories meaning the validity of the data collected increases 3) - difficult to affect patterns and draw conclusions due to the wide range of responses meaning the the researchers may look for trends rather than using descriptive statistics
32
1) Rating scale 2) Strengths 3) Weaknesses
1) - respondents asked to give an assessment on their views on a scale from 1-2 where 5 represents the very positive and 1 represents the very negative 2) - responsibly objective way to represents feelings and attitudes relevant to the to the topic being researched - produces quantitative data which is easy to represent in graphs 3) - respondents avoid end of sales and often go with the middle so the feelings are not accurately represented e.g. lack validity
33
1) Structured interviews 2) Strengths 3) Weaknesses
1) predetermined questions are delivered by the interviewed so who does not probe beyond the answers received beyond may answer questions 2) - easy to replicate - easy to analyse than unstructured interviews as answers are predetermined 3) interviewers expectation's influence's the answers the interviews give (interviewer bias)
34
1) Semi- structured questions 2) Strengths 3) Weaknesses
1) some questions are predetermined but also answers the new questions delivered as interview progresses 2) - more detailed information collected from each respondent so the questions shape by participants - can access information that may not be reflected by the predetermined questions 3) - more affected by interviewers bias than structured interviews - requires well informed interviewers which is more expensive
35
Coding frame
Used after observation taken place snd themes are written to create categories and used to conduct consent analysis of quanlatative data
36
Behavioural catagories
Designed before observations takes place and allows observes to collect quantitative data abiut the types of behaviour seen
37
Sampling procedures
You could continously pbserbe snd record everyything i. As much detail as possible and only feasible when the behaviour interested in does not occur very often
38
1) Non-participant observations (disclosed) 2) strengths 3) weaknesses
1) A method by which the researcher does nit participate in the actions of participants, instead observing from a distance 2) - researchers are more likely to be able to make reading and observations - replication slightly easier 3) - participants less likely to disclose information to researcher - meaning of behaviour is unclear
39
1) Participant observation 2) - allows the researcher to gain trust of the participant - researchers are immersed in the situation meaning the behaviour is clearer 3) - the researcher may have to rely on memory for data collection - replication is often difficult
A method by which the researcher themself involve themselves in the activities of participants e.g. Zimbardo experiments
40
1) Covert (undisclosed) 2) Strengths 3) Weaknesses
1)When the participants are unaware they are being observed through a one-way mirror 2) - the participants are unaware that they are taking part so their behaviour is more natural 3) - unethical as the participants annot give conset and have been deceived - the researchers might blow their cover
41
1) Overt 2) Strengths 3) Weaknesses
1) when participants are unaware that they are being observed through a one-way mirror 2) - it ensures that the participants are able to consent to partaking in research i.e. research much more ethical 3) - leads to demand characteristics knowing that they are taking part meaning there is social desirability bias
42
What is reliability?
Reliability refers to the consistency of your experiment. ● This can be within a set of scores or items(internal reliability)or over time, when trying to replicate results on other occasions (external reliability)
43
Inter-rater reliability
The consistency between different observers / interviewers / researchers. ● More than one interviewer / observer is used to collect data for a research study. ● Low reliability may be caused if different interviewers / observers / researchers behave differently. ● This is assessed by comparing the results from two or more interviewers / observers / researchers questioning the same person. ● For the results to be reliable, the answers given /behaviours observed should be the same
44
What is validity?
● This refers to the ‘trueness’ of the data collected. ● In a questionnaire, if a person does not provide an answer that represents what they actually think or feel, then the researcher is not measuring what they intended to measure
45
Internal validity
Internal concerns whether a test does assess what it intended to assess ● Researcher bias ● Face validity ● Construct validity ● Concurrent validity ● Criterion validit
46
External validity
External concerns the extent to which the results from a study can be generalised to beyond the particular study ● Population validity ● Ecological validity
47
Internal validity - researcher bias
Researcher bias occurs when a researcher unintentionally, or unconsciously influences the outcome of any research they are conducting. ● This can be done in several ways ○ 1. Non-verbal communication ○ 2. Physical characteristics ○ 3. Bias in interpretation of data
48
Researcher bias - non-verbal communication
The researcher can communicate their feelings about what they are observing without realising that they have done so. For example, a raised eyebrow can make the participant aware they may have said or done something which has surprised or shocked a researcher and they may alter their response as a consequence of this, affecting the validity of the data
49
Researcher bias - interpretation of data
● A researcher can affect the results reported from a piece of research by interpreting the data in a biased way. They may not realise that they are interpreting it in a different way to someone else because it feels as if their view is the correct one. The extent to which this can occur is dependent on the data collected. This would not occur if the dependent variable is something like reaction time as this is an objective method of measurement
50
Researcher bias - physical characteristics
● The appearance of the researcher and such physical characteristics as their gender will influence the behavioural response of the participant. This means that the behaviour is a product of the situation because of the researcher and therefore may not be reliable or valid
51
Internal validity - construct validity
● Concerns whether a test assesses the underlying concept(s) or construct(s). ● For example, a questionnaire on obedience is assessed by considering various theoretical views about obedience (i.e. the underlying constructs) and the extent to which they have been represented by the questionnaire
52
Internal validity - Face validity
● Face validity is a simple way of assessing whether or not something measures what it claims to measure, which is concerned with its face value. ● E.g. does an IQ test look like it tests intelligence? This is often assessed by consulting specialists within that particular area
53
Internal validity - concurrent validity
● Established by comparing performance on a new test with a previously validated test on the same topic. ● If the new measure produces similar outcomes to the older one it demonstrates concurrent validity
53
Internal validity - criterion validity
● Refers to the extent that test scores can predict a future behaviour or attitude. ● For example, an IQ test score would have high criterion validity if it was positively related to GCSE scores