research methods Flashcards

1
Q

types of sampling

A
  • opportunity
  • volunteer
  • random
  • systematic
  • stratified
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2
Q

sampling
OPPORTUNITY

A
  • most available / easiest to obtain

quick + convenient method

unrepresentative sample
- so cannot be generalised

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3
Q

sampling
VOLUNTEER

A
  • self-selecting

willing ppts
- likely to engage more

volunteer bias
- ppts may share certain traits
- limited generalisation

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4
Q

sampling
RANDOM

A
  • every person in target population has an equal chance of being selected

unbiased
- researcher has no influence over who is selected
- free from researcher bias

people selected may be unwilling to take part

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5
Q

sampling
SYSTEMATIC

A
  • ppts selected using a sampling frame
  • every nth person

unbiased
- first item is usually selected at random
- free from researcher bias

requires time + effort
- requires complete list of population
- random sampling would be more ideal

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6
Q

sampling
STRATIFIED

A
  • strata within the population is identified (eg age, gender)
  • sample reflects proportion of different strata

representative
- characteristics of target population are represented
- allows generalisation

imperfect
- strata can’t reflect all the ways in which people are different

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7
Q

research issues

A
  • extraneous variables: nuisance variables
  • confounding variables: change systematically w IV so can’t be sure if any observed change in DV is due to IV or CV
  • demand characteristics: any cue that may reveal aim of study
  • investigator effects: any effect of investigator’s behaviour on outcome of study
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8
Q

research techniques

A
  • randomisation: use of chance to control effect of bias
  • standardisation: same formalised procedure for all ppts - more repeatable
  • control groups: to set a comparison
  • single bind: ppt doesn’t know aim of study (to reduce demand characteristics)
  • double bind: both ppt + researcher don’t know aims of study (reduces demand characteristics + investigator effect)
  • counterbalancing: half of ppts in sample carries out conditions in 1 order + the other half in reverse order - eliminates order effect w repeated measures design
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9
Q

pilot studies

A

small-scale trial run of a study before doing the real thing to see if there’s any problems with:
- experimental design
- intructions for ppts
- measuring instruments

  • to ensure time, effort + money aren’t wasted on a flawed methodology
  • important to use a representative sample of target population
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10
Q

experimental methods
LAB

A
  • controlled environment where extraneous variables can be regulated
  • IV is manipulated + effect on DV is recorded

high degree of control
- minimises effect of extraneous variables
- conclusions about cause + effect can be drawn confidently
- high internal validity

standardised procedure
- can be easily replicated - can confirm validity

✘ lacks external validity
- limits generalisability

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11
Q

experimental method
FIELD

A
  • natural setting
  • IV manipulated + effect on DV recorded

high ecological validity
- representative of behaviour in everyday life
- results are more generalisable

ppts unaware they’re being studied
- no demand characteristics
- high internal validity

less control over extraneuos variables
- more difficult to draw conclusions about cause + effect
- low internal validity

ethical issues
- no informed consent
- invasion of privacy

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12
Q

experimental method
NATURAL

A
  • IV not manipulated
  • measures effects of existing IV (naturally occurring, eg flood/earthquake) on the DV

greater ecological validity
- involve real-life issues
- findings are more relevant to real experiences

natural event may only occur rarely
- reduces opportunity for research
- limits scope for generalisation

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13
Q

experimental method
QUASI

A
  • IV based on pre-existing difference between people, e.g. age or gender
  • measures effect of this IV on DV

high control
- high internal validity

✔ comparisons can be made between people

✘ ppts are not randomly allocated

✘ causal relationships not demonstrated

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14
Q

experimental design
INDEPENDENT GROUPS

A
  • ppts randomly allocated to different groups
  • 1 does condition A; other does condition B

✔ no order effects
✔ reduces demand characteristics
✘ participant variables - may reduce validity
✘ more participants required - time-consuming

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15
Q

experimental design
REPEATED MEASURES

A
  • same ppts take part in all conditions
  • order of conditions should be counterbalanced to avoid order effects

✔ controls participant variables
✔ fewer participants
✘ order effects
✘ increases demand characteristics

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16
Q

experimental design
MATCHED PAIRS

A
  • 2 groups of ppts used but are paired on participant variables that matter for the experiment

✔ controls participant variables + demand characteristics
✔ no order effects
✘ matching is time consuming and can’t control all relevant variables
✘ more participants required - time consuming

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17
Q

observational techniques
naturalistic vs controlled

A

naturalistic: takes place where target behaviour would normally occur
high ecological validity
- more generalisable
✘ low control
- low internal validity

controlled: some manipulation of variables including control of EVs
✔ replicable
-standardised procedures
✘ low external validity
-limits generalisation

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18
Q

observational techniques
covert vs overt

A

covert: ppts unaware they’re being studied
eliminates demand characteristics
- high external validity
ethically questionable
- ppts right to privacy

overt: ppts are aware they’re being studied
more ethically acceptable
- ppts have given consent
demand characteristics
- may influence behaviour
- lower external validity

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19
Q

observational techniques
participant vs non-participant

A

participant: when researcher becomes part of the group they are studying
greater insight
- enhances validity of findings
less objective
- more bias

non-participant: when researcher remains separate from group they are studying
more objective
- less chance of bias
loss of insight
- may reduce validity of findings

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20
Q

observational methods

A

behavioural categories: target behaviour to be observed broken up into set of observable/measurable categories
difficult to make clear + unambiguous
- have to be self-evident + must not overlap

time sampling: target behaviour is recorded at prescribed intervals
reduces no. of observations
- more structured + systematic
may be unrepresentative
- may not reflect the entire behaviour

event sampling: target behaviour is recorded every time it occurs
may record infrequent behaviour which could be easily missed during time sampling
complex behaviour oversimplified
- may affect validity of findings

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21
Q

self-report techniques
QUESTIONNAIRES

A
  • made up of a pre-set list of written questions to which a ppt responds

can be distributed to a lot of people
- large amounts of data gathered quickly
- cost-effective
respondents may be willing to open up
- less chance of social desirability bias
may not be honest
acquiescence bias (response bias)
- tendency to agree regardless of their beliefs
- or not reading the question properly

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22
Q

questionnaires
open vs close

A

closed questions: respondent has limited choices
+ data is quantitative
easier to analyse + draw conclusions
respondents are restricted
- may be unrepresentative
- reduces validity of findings

open questions: respondents provide own answers expressed in words + data are qualitative
not restricted
- more detailed answers
- more insightful
difficult to analyse

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23
Q

self-report techniques
INTERVIEWS

A

interview schedule
standardised list of qs for interviewer to cover
can reduce interviewer bias
quiet room
will increase likelihood of ppt opening up
rapport
beginning w neutral qs to make ppt feel relaxed
ethics
remind ppts that answers will be treated in confidence

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24
Q

interviews
structured vs unstructured

A

structured: list of pre-determined qs asked in a fixed order
easy to replicate
- standardised format
✘ interviewees cannot elaborate / deviate from topic

unstructured: general topic to be discussed, free-flowing interaction
greater flexibility
- more likely to gain insight
difficult to replicate
- risk of interviewer bias
- semi-structred

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correlations
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case studies
* detailed, in-depth + longitudinal analysis of an individual/group/institution/event * often involves analysis of unusual individuals or events * eg person w rare disorder * usually involves qualitative data ✔ **rich, detailed insight** - increases validity of data ✔ **enables study of unusual behaviour** - some conditions are very rare + cannot we studied using other methods - some cases can help understanding of normal functioning ✘ **low ecological validity** - studying a single person/event - unique cases - difficult to generalise to wider population ✘ **prone to researcher bias** - based on the subjective interpretation of the researcher - may reduce validity ✘ **ppts accounts may be biased** - personal accounts prone to inaccuracy/memory decay - evidence may be low in validity.
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ethical issues INFORMED CONSENT
ppts should be aware of aims of research, procedures, their rights (incl to withdraw) + what their data will be used for in order no make an informed decision about whether to take part **dealing w it:** * should be issued w a consent letter, detailing all relevant info that may affect their decision to participate + a signature must be obtained
28
ethical issues PROTECTION FROM HARM
ppts should leave research in the same psychological + physical state as they entered; should be at no more risk than they would in everyday life **dealing w it:** * should be reminded of their right to withdraw at each stage of the research process * should be debriefed at the end + reassured that their behaviour was normal * may be referred to counselling in some cases
29
ethical issues DECEPTION
**deliberately misleading or witholding info** from ppts meaning **consent is not informed** **dealing w it:** * at the end of the study, ppts should be given a full **debrief**, including the true aims + nature of the research what their data will be used for * should be given the right to withold data if they wish * should also be reassured that their behaviour was normal * in extreme cases, they may be offered counselling * contact details of experimenter should be given if they have any further questions of queries
30
ethical issues CONFIDENTIALITY
a ppt's personal info is protected by law under the Data Protection Act both during + after the experiment **dealing w it:** * any personal info should remain undisclosed to protect their identity + assure anonymity
31
ethical issues PRIVACY
the right of individuals to decide how info about them will be communicated to others **dealing w it:** * should be provided w informed consent + right to withdraw at any stage * should be explained the ways in which their info will be protected + kept confidential
32
peer review
* before publication, all aspects of the investigation are scrutinised by experts (peers) in the field * these peers should be objective + unknown to the researcher aims to: * funding - allocate research funding * validation of the quality + relevance of research * improvements + ammendments are suggested *
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economical implications
34
types of data quantitative vs qualitative
**quantitative:** numerical data ✔ **easier to analyse + draw conclusions** - more objective + less open to bias ✘ **oversimplifies behaviour** - doesn’t provide meaningful insight **qualitative:** non-numerical data expressed in words ✔ **more detailed** - thoughts + feelings can be explained ✘ **difficult to analyse + draw conclusions**
35
types of data primary vs secondary
**primary:** firsthand data collected for purpose of investigation ✔ **info is directly relevant to research aims** ✘ **requires time + effort** **secondary:** taken from journal articles, books, websites or gov records ✔ **already exists** - inexpensive + minimal effort ✘ **quality may be poor** - may be outdated/incomplete - challenges validity
36
types of data meta-analysis
- type of secondary data that involves combining data from a large no. of studies ✔ **increases validity of conclusions** - much larger sample size - more generalisable ✘ **publication bias** - may not select all relevant studies
37
descriptive statistics measures of central tendency
**mean:** arithmetic average ✔ sensitive - includes all values from data set in calculation ✘ may be unrepresentative - easily distorted by any extreme values **median:** middle value ✔ unaffected by extreme values - only focussed on middle value ✘ less sensitive than mean - not all values included in calculation - extreme values may be important **mode:** most frequently occurring value ✔ relevant ro discrete/categorical data - sometimes the only appropriate measure ✘ overly simple - may be many modes in a data set - not useful in this case
38
descriptive statistics measures of dispersion
**range:** difference between the highest + lowest values ✔ easy to calculate ✘ only takes into account 2 most extreme values - unrepresentative of data set as a whole - doesn't account for distribution of values **standard deviation:** measure of average spread around the mean ✔ more precise than range - includes all values in calculation ✘ may be misleading - extreme values may not be revealed
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presentation + display of quantitative data
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distributions
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content analysis
type of observational research where people are studied indirectly via qualitative data (their communications, eg texts, emails, TV, film and other media) **coding:** 1st stage of content analysis - data sets may be extremely large so info needs to be categorised into units eg counting up no of times a word/phrase appears in a text - produces quantitative data **thematic analysis:** produces qualitative data + refers to any idea that is recurrent - more descriptive than coding units ✔ **many ethical issues may not apply** eg obtaining consent - as material already in public domain ✔ **flexible method** - can be adapted to suit aims of the research ✘ **communication is studied out of context** - likely to reduce validity
42
reliability
* measure of consistency * whether a measurement is repeated + same result is obtained
43
reliability ASSESSING RELIABILITY
TEST-RETEST: same test/questionnaire given to the same person on 2 / more different occasions - result should be similar INTER-OBSERVER: compare observations from different observers in a pilot study of the same event **measuring reliability:** 2 sets of data are correlated - correlation coefficient should exceed + .80 for reliability
44
reliability IMPROVING RELIABILITY
**rewriting questions in questionnaines:** - replacing some open qs (can be misinterpreted) w closed qs - improve training / use same person for interviews - standardised procedures in experiments - strict control over instructions + conditions - operationalisation of behevioural categories in observation - behavioural categories should be measurable + not overlap
45
validity
***is result legitimate?*** - whether ECOLOGICAL validity: do findings generali re no other rething (eneryday life? TEMPORAl validity: do findings remain true oner vime ?
46
validity ASSESSING VALIDITY
FACE VALIDITY - achieved by 'eyeballing' measuring instrument OR passing it on to an expert to check CONCURRENT VALIDITY - test is administered to group of ppts + scores are compared w findings of a well-established test - correlarion should exceed + .80 for validity
47
validity IMPROVING VALIDITY
* in experiment - [control group, - increases confidence that chayes in DV anedue weffec of IV + srandardisarion. * questionnaines - vie scales control Grether of social desirabilin bior + confidenialing is alsoned for all data submitted. pox ambigusol/ofes * observarions - behavioural caregories ane operarionalised + mell defined * qualitarine nesearch - interpretive validin + tiangularion
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reporting psychological investigations
* ABSTRACT: short summary of the study including all major elements: - aim, hypotheses, method, results + conclusion. * INTRODUCTION: literature review - a look at relevant theories, concepts + studies related to study * METHOD: should include sufficient detail for replication incl: - design, sample, apparatus, procedure, ethics * RESULTS: summary of key findings from investigation, including: - descriptive stats: eg tables, graphs + charts, measures of central tendency + dispersion - inferential stats: reference is choice of stats test, calculate + critical values, significance level + final outcome * DISCUSSION: * REFERENCING:
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features of science PARADIGM
* shared set of assumptions + methods * KUHN suggested this was what separated scientific + non-scientific principles * argued that psychology lacks a universally accepted paradigm + is best seen as a pre-science, unlike natural sciences eg biology * paradigm shifts occur when there is a scientific revolution * where a handful of scientists begin to question the accepted paradigm when there is too much contradictory evidence to ignore
50
features of science THEORY CONSTRUCTION
* theory = set of general laws/principles that have the ability to explain particular events or behaviours * testing a theory depends on being able to make clear + precise predictions on the basis of the theory (ie to stae a no of possible hypotheses) * a hypothesis can then be tested using scientific methods to determine whether it will be supported or refused * the process of deriving a new hypothesis from an existing theory is known as deduction * bottom up + top down
51
features of science falsifiability
* popper argued that the key criterion of a scientific theory is its falsifiability * genuine scientific theories could hold themselves up for hypothesis testing + the possibility of being proved false * popper distinguished between theories which can be challenged + what he called 'pseudosciences' which couldn't be falsified * he believed that even when a scientific principle had been successfully + repeatedly tested, it was not necessarily true * instead, it had simply not been proved false (yet) **eg psychodynnamic approach**
52
features of science REPLICABILITY
* testing the validity of research results * if a scientific theory is to be trusted, the findings from it must be shown to be repeatable across a no of different contexts * by repeating a study, we can see the extent to which the findings can be generalised
53
features of science OBJECTIVITY
to reduce bias in research * scientific researchers must keep a 'critical distance' during research * musn't allow personal opinions/biases to 'discolour' the data or influence the behaviour of ppts * methods associated w greatest level of control, eg lab studies, tend to be th most objective
54
features of science EMPIRICAL METHODS
* emphasise the importance of data collection based on direct, sensory experience * experimental + observational method are good examples of empirical method in psychology * early empiricists, eg John Locke saw knowledge as determined only by experience + sense perception * a theory cannot be claimed to be scientific unless it has been empirically tested + verified
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the sign test
56
levels of measurement
57
probability + significance
58
statistical tests