Research Methods- y12 Flashcards

(46 cards)

1
Q

experimental method- key concepts

A

operationalised hypothesis (statement of what researcher believes to be true)
1.directional- states whether changes are greater/lesser pos/neg
1.non directional-doesn’t say direction, just says there is a correlation
-researcher causes IV to vary and measures effect on DV

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2
Q

experimental method- research issues

A

-EV’s= nuisance variables that make it hard to detect effect
-CV’s=change with IV so we cannot be sure if change in DV is due to CV or IV
-demand characteristics= any cue from researcher that may reveal aim and change behaviour
-investigator effects= any effect they have on DV
-randomisation= use of chance when designing investigation to control bias
-standardisation= same procedure for all pps

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3
Q

experimental method- pilot studies

A

-small scale trial run to road test procedures
-control groups/conditions set to make comparisons
-single blind means pps dont know aim double blind means investigator also doesn’t
-these things reduce demand characteristics

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4
Q

experimental method- independent groups

A

-one group does A and another does B
-randomly allocated groups
pros=no order effects, will not guess aim
cons=participant variables, less economical

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5
Q

experimental method- repeated measures

A

-same pps do all conditions
-order should be counterbalanced to reduce order effects
pros= participant variables, fewer participants
cons= order effects, pps may guess aims

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6
Q

experimental method- matched pairs

A

-2 groups of pps used who are paired on pps variables related to experiment
pros=participant variables, no order effects
cons= matching is not perfect, more pps

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7
Q

types of experiment- lab

A

-controlled environment where EV’s and CV’s can be regulated
-Iv manipulated, effect on DV recorded
pros= EV’s and DV’s controlled, easily replicated
cons=may lack generalisability, demand characteristics

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8
Q

types of experiment- field

A

-natural setting
-Iv manipulated, effect on DV recorded
pros=natural environment, pps unaware of study
cons=difficult to control CV’s and EV’s, ethical issues

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9
Q

types of experiment- natural

A

-Iv changes but not because of experimenter
-DV may be naturally occuring or devised, measured in field or lab
pros= practical and ethical, external validity
cons=event may only occur rarely, pps not randomly allocated

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10
Q

types of experiment- Quasi

A

-IV based on pre existing difference such as age or gender
-DV may be naturally occurring or devised
pros=high control, comparisons can be made between people
cons= pps not randomly allocated, casual relationships not demonstrated(cannot say change in DV was due to IV)

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11
Q

Sampling

A

-population= large group we are interested in
-sample= smaller part of pop
-generalisation= sample should be representative so we can generalise
-bias= certain groups are over or under represented

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12
Q

random sample

A

-everyone has equal chance of being selected
-lottery method/ randomiser
pros=potentially unbiased
cons= rime consuming and may not work if pps refuse

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13
Q

systematic sample

A

-pps selected using set pattern e.g. alphabetical order
-every nth person selected
pros=unbiased
cons=time and effort, might as well use random

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14
Q

stratified sample

A

-sample reflects proportions of people in certain sub groups
-sub groups identified and relative percentages chosen which represent population
pros= representative
cons=stratification not perfect as not all types of people can be represented

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15
Q

opportunity sample

A

-people who are easiest to obtain
-ask people nearby
pros=quick method
cons=biased and cannot be generalised

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16
Q

volunteer sample

A

-self selecting
-advertisements
pros= participants are willing and likely to engage
cons= volunteer bias, likely to share certain traits

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17
Q

ethical issues- conflict

A

-conflict between rights of pps and aims of research
-bps code of conduct, document to protect pps
-ethics committee weigh up costs and benefits before allowing a study

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18
Q

ethical issues- informed consent

A

-get permission
-signed consent for or;
1.presumtive-ask similar group
2.prior general-agree to be decieved
3.retrospective-get consent after

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19
Q

ethical issues- deception

A

-misleading
-cannot deliberately mislead or withold info, mild deception is ok
-debrief at end=
1.true aims
2.details not given
3.what data will be used for
4.right to withold date

20
Q

ethical issues-protection from harm

A

-risk
-pps should be at no more risk then everyday life
-right to withdraw at every stage
-reassured behaviour is normal
-counselling provided if needed

21
Q

ethical issues-privacy and confidentiality

A

right to control -we have right to withold data, confidentiality should be respected
-personal details must be protected or not recorded
-refer to pps as numbers
-personal details not to be shared with other researchers

22
Q

correlations

A

-No manipulation of variables, so cause and effect cannot be demonstrated
-illustrates association between two co-variables
pros=useful starting point, relatively economical as second hand data can be used
cons=no cause and effect which can lead to false conclusions, intervening variables

23
Q

observational techniques

A

-seeing or listening to people without asking, way of assesing DV
pros=capture what people do spontaneously
cons=risk of observer bias

24
Q

observational techniques- naturalistic

A

-takes place where target behaviour would usually occur
pros=high external validity therefore more generalisable
cons=low control of EVs and CVs

25
observational techniques-controlled
-some control/manipulation of variables pros=easily replicated due to standardised procedures cons=low external validity
26
observational techniques- covert
-pps unaware they are being studied pros=demand characteristics reduced which increases internal validity cons=ethically questionnable due to right of privacy
27
observational techniques- overt
-pps aware of being studied pros=ethically acceptable cons=demand characteristics
28
observational techniques-participant observation
-researcher becomes part of group they are studying pros=greater insight which increases external validity cons=possible loss of objectivity
29
observational techniques-non participant
-researcher remains seperate from group pros=more objective cons=loss of insight
30
observational design-behavioural categories
-target behaviour to be observed should be broken up in to set of observable categories cons=difficult to make clear and unambiguous categories should be self evident and not overlap, dumped behaviours go unrecognised
31
observational design- event sampling
-target behaviour recorded every time it occurs pros=useful for infrequent behaviour cons=complex behaviour is oversimplified, details go unrecorded affecting validity
32
observational design-time sampling
-observations made at regular intervals pros=reduces number of observations cons=may be unrepresentative and not reflect whole behaviour
33
self report techniques- questionnaires
-pre set list of written questions -can be used to assess DV pros=distributed easily, straightforward to analyse cons=respondednts may portray themselves in positive light, response bias
34
self report techniques- structured interview
-pre determined questions in a fixed order pros=easy to replicate, standardised cons=interviewers cannot elaborate
35
self report techniques-unstructured interview
-no set questions, just a general topic to be discussed pros=greater flexibility and insight cons=increased risk of interviewer bias
36
self report techniques-semi structured interview
-list of questions but can elaborate questions based on previous answers
37
designing questionnaires
avoid; jargon, double barrelled questions and leading questions -closed questions usually lead to quantitative data pros=easy to analyse cons=restricted response -open questions usually lead to qualitative data pros=not restricted cons=hard to analyse
38
designing interviews
-standardised list of questions -quiet room encourages them to open up -rapport- begin with neutral questions -ethics, remind they will be treated in confidence
39
qualitative and quantitative data
qualitative- rich detail but difficult to analyse quantitative-easy to analyse, narrow in meaning
40
primary and secondary data
primary-fits job but requires time and effort secondary-inexpensive, but may be poor quality such as outdated
41
meta analysis
-secondary data, combining many studies and calculation of effect size pros=increases validity and generalisability cons=publication bias
42
measures of central tendency
1.mean pros=sensitive measure cons=unrepresentative as small or large number can sway it 2.median pros=less affected by extreme scores cons=less sensitive than mean 3.mode- most frequent pros=relevant for categorical data cons=overly simplified
43
measures of dispersion
1.range-diff between high and low pros=easy to calculate cons=does not account for distribution of scores 2.standard deviation-measure of spread around the mean pros=more precise than mean cons=may be misleading as distorted by extreme values
44
The sign test
1.score from condition b subtracted from condition a to produse sign difference (plus or minus) 2.add up number of pluses and minuses 3.pps who got same in condition a and b should be disregarded and removed from N value 4.s value is total of less frequent signs 5.if s is equal to or less than significant value, s is significant and null hypothesis rejected
45
peer review
-before publication, investigation scrutinised by experts in field -aims are to fund research,validate quality and relevance and improve pros=protects quality of published research cons=anonymity may be used to criticise rival research, publication bias and ground breaking research may be buried as it contradicts others views
46
psychological research and the economy
-research stressed importance of fathers in psychological development -may promote flexible working arrangement in families -modern parents better equipped to contribute effectively to economy -one third of days off work caused by mental disorders -gives access to drugs such as SSRi's -people with mental disorders can attend work and contribute to economy