Research Methods Flashcards

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1
Q

Experimental Method

A

=manipulation of IV to measure effect on DV

  • Aim=general statement of what the researcher intends to investigate
  • Hypothesis=clear, precise, testable statement that states relationship between variables to be investigated
    =Directional- positive/negative direction
    =Non-directional- states is a relationship but not specific
  • Operationalisation=clearly defining variables in terms of how they can be measured
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2
Q

Research Issues

A
  • Extraneous variables=any variable, other than IV, that may affect DV
  • Confounding variables=kind of EV but varies systematically with IV
  • Demand characteristics=any cue from researcher or situation that may reveal true aims of study to participants who will manipulate their behaviour accordingly
  • Investigator effects=any effect of investigator’s behaviour on research outcome
  • Randomisation=use of chance methods to control for effects of bias when designing materials and deciding orders
  • Standardisation=using exactly same formalised procedures and instructions for all participants
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3
Q

Experimental Designs- AO1

A
  • Independent groups;
    =participants allocated to different groups where each group represents one experimental condition
    Random allocation=control participant variables
  • Repeated measures:
    =all participants take part in all conditions of experiment
    Counterbalancing=control order effects when half experience one condition and vice versa
  • Matched pairs:
    =pairs of participants matched on variable that may affect DV- one member assigned to A and B
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4
Q

Experimental Designs- AO3

A
  • Independent groups:
    ~ participant variables=reduces validity- use random allocation to combat
    ~ less economical than repeated measures
    + order effects not a problem
  • Repeated measures:
    ~ order effects- use counterbalancing to combat
    ~ boredom / deterioration in performance
    ~ demand characteristics more likely
    + participant variables controlled=higher validity
    + fewer participants needed so more cost-effective
  • Matched pairs:
    + order effects and demand characteristics less of a problem
    ~ participants can never be matched exactly
    ~ matching time-consuming and expensive
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5
Q

Types of Experiment- Laboratory

A
  • Conducted in highly controlled environment- manipulates IV and records effect on DV

+ high control confounding and extraneous variables=high internal validity
+ reliable as replication more possible due to high control
~ artificial so lacks generalisability=low external validity
~ demand characteristics more likely
~ low mundane realism

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6
Q

Types of Experiment- Field

A
  • Takes place in natural setting within which IV manipulated and effect on DV recorded

+ high mundane realism as environment more natural=high external validity
~ lack of control of CV’s and EV’s=cause and effect more difficult to establish
~ ethical issues as consent and privacy

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7
Q

Types of Experiment- Natural

A
  • Change in IV not brought about by researcher but would have happened anyway and effect on DV recorded

+ provide opportunity for research not otherwise undertaken
+ high external validity as real-world issues as evolve and happen
~ reduced opportunity for research=limit scope for generalisability
~ participants not randomly allocated

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8
Q

Types of Experiment- Quasi

A
  • IV not determined by anyone- variables simply exist

+ controlled conditions=reliable
~ cannot randomly allocate participants=confounding variables
~ cannot claim IV caused any observed change

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9
Q

Sampling- Overview

A
  • Population=group of people focus of researcher’s interest, from which smaller sample drawn
  • Sample=group people take part research investigation grawn from target population=representative=generalisable
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10
Q

Sampling- Random

A

=all members target population equal chance being selected- ordered list of target population and lottery method used

+ potentially unbiased- EV’s and CV’s divided equally=high internal validity
~ difficult and time-consuming to conduct
~ unrepresentative sample
~ selected participants refuse to take part

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11
Q

Sampling- Systematic

A

=every nth member of target population selected- sampling frame produced and sampling system nominated

+ objective- no influence over who is chosen
~ time-consuming and participants may refuse to take part

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12
Q

Sampling- Stratified

A

=composition of sample reflects proportions of people in subgroups within target population- identify strata/proportions worked out/selected using random sampling

+ representative as reflects composition of population=generalisable
~ strata cannot reflect all ways people different so complete representation not possible

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13
Q

Sampling- Opportunity

A

=selecting anyone who happens to be willing and available at the time

+ convenient and cost-effective
~ unrepresentative of target population=not generalisable
~ researcher bias as control over participants

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14
Q

Sampling- Volunteer

A

=participants select themselves to be part of the sample

+ easy and less time-consuming
+ participants are eager and willing as it was their choice
~ volunteer bias- attracts certain demographic of individual

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15
Q

Ethical Issues

A
  • Informed consent=making participants aware of aims of research, procedures, rights and what data used for- participants judgement without feeling obliged
  • Deception=deliberately misleading or withholding information from participants during study
  • Protection from harm=should not be placed at any more risk than would experience in day-to-day lives
  • Privacy and confidentiality=right to control information about themselves
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16
Q

Ways of Dealing with Ethical Issues

A
  • Informed consent:
    consent letter detailing all info affect decision to participate
    =presumptive consent- similar group give consent
    =prior general consent- give consent to number of studies include deception
  • Deception and protection from harm:
    Full debrief- true aims of study
    =what data used for and reminded of right to withdraw
    =offer advise regarding counselling
  • Confidentiality:
    Maintain anonymity- numbers/initials
    =reminded of protection of data throughout process and will not be shared
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17
Q

Pilot Studies and Single/Double-Blind

A
  • Pilot study=small-scale version of investigation takes place before real one conducted- check everything works and allow any changes if necessary
  • Single-blind procedure=participants not known aim of research or what condition they’re in
    =not revealed until the end to control for CV’s and demand characteristics
  • Double-blind procedure=neither participants nor researcher knows aims of study or conditions
    =used in drug trials with placebos
  • Control groups and conditions:
    =experimental for control and comparison
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18
Q

Observational Techniques- Naturalistic and Controlled

A
  • Naturalistic obs=watching and recording behaviour in the setting within which it would normally occur
  • Controlled obs=watching and recording behaviour in a structured environment
    =strange situation
  • Evaluation:
    + special insight into behaviour
    + naturalistic=high external validity as findings generalised
    + controlled=reliable due to control
    ~ naturalistic=low reliability as lack of control
    ~ potential CV’s and EV’s
    ~ controlled=not generalisable
    ~ observer bias
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19
Q

Observational Techniques- Covert and Overt

A
  • Covert obs=participants behaviour is watched and recorded without their knowledge or consent
  • Overt obs=participants behaviour is watched and recorded with their knowledge and consent
  • Evaluation:
    + covert=removes demand characteristics increasing internal validity
    + overt=more ethical
    ~ covert=less ethical
    ~ overt=demand characteristics
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20
Q

Observational Techniques- Participant and Non-Participant

A
  • Participant obs=researcher becomes member of group whose behaviour they are watching/recording
  • Non-participant obs=researcher remains outside of group whose behaviour they are watching/recording
  • Evaluation:
    + participant=increased insight increasing external validity
    + non-participant=maintain objective psychological distance
    ~ participant=lose objectivity as identify too strongly
    ~ non-participant=lose valuable insight
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21
Q

Observational Design- Ways of Recording Data

A
  • Unstructured observation=write down everything that they see
    =rich in detail
    =small-scale with few participants
  • Structured observation=simplify target behaviours to be focus using behavioural categories
  • Evaluation:
    + structured- easy to record and systematic
    + structured- quantitative so easy to analyse
    + unstructured- data rich
    ~ unstructured- qualitative so difficult to analyse
    ~ unstructured- observer bias
22
Q

Observational Design- Behavioural Categories

A

=when a target behaviour is broken up into components that are observable and measurable (operationalisation)

  • Evaluation:
    + data more structured and objective
    ( categories should be clear and unambiguous/all forms of target behaviour included/categories should not overlap)
23
Q

Observational Design- Sampling Methods

A
  • Event sampling=target behaviour is first established and researcher records every time it occurs
  • Time sampling=target time frame is established and researcher records everything that occurs each time
  • Evaluation:
    + ES- useful when target behaviour could be missed by TS
    + TS- effective in reducing number of observations have to be made
    ~ ES- may overlook important details
    ~ TS- observations unrepresentative of observation as whole
24
Q

Self-Report Techniques- Questionnaires

A

=set of written questions used to asses person’s thoughts and/or experiences

  • Open questions=no fixed range of answers- qualitative
  • Closed questions=fixed number of responses- quantitative
  • Evaluation:
    + cost-effective- large amounts of data quickly and distributed to many people
    + data straightforward to analyse
    ~ demand characteristics- social desirability bias
    ~ response bias- replying in similar way
25
Q

Self-Report Techniques- Interviews

A

=person asks set of questions to assess interviewee’s thoughts/experiences

  • Structured=pre-determined set of questions asked in fixed order
  • Unstructured=no set questions- certain topic but free-flowing
  • Semi-structured=list of questions but can ask follow-up questions
  • Evaluation:
    + structured- reliable as standardised
    + unstructured- more insightful
    ~ structured- limited richness of data
    ~ unstructured- interviewer bias
    ~ social desirability bias
26
Q

Self-Report Design

A
  • Designing questionnaires:
    =likert scale- strongly agree/disagree
    =rating scale- numbers represent strength of feeling
    =fixed-choice option- tick boxes
  • Designing interviews:
    =standardised interview schedule to reduce interviewer bias
    =quiet room / warm-up neutral questions / reminded of strictest confidence
  • Writing good questions:
    =avoid overuse of jargon
    =avoid emotive language and leading questions
    =avoid double-barrelled questions and double negatives
27
Q

Correlations

A

=relationship (strength and direction) between two co-variables- plotted on scattergram

  • Positive correlation=one co-variable increases and so does the other
  • Negative correlation=one co-variable increases and the other decreases
  • Zero correlation=no relationship between co-variables
  • Evaluation:
    + useful measure of how two variables related
    + quick and economical to carry out
    ~ correlation not causation
    ~ an intervening variable may be responsible for the relationship
    ~ sometimes misused/misinterpreted
28
Q

Types of Data- Qualitative and Quantitative

A

=Qualitative-non-numerical
=Quantitative-numerical

  • Evaluation:
    + qual- data rich
    + qual- high external validity
    + quant- easy to analyse
    + quant- objective
    ~ qual- difficult to analyse
    ~ qual- subjective interpretations open to bias
    ~ qual- fails to represent real life
29
Q

Types of Data- Primary and Secondary

A

=Primary- data collected by the researcher themself for the purpose of their own investigation
=Secondary- data collected by someone else but can be applied to the researcher’s investigation

  • Meta-analysis=number of studies identified with same aims/hypotheses- results pooled together and joint conclusion produced
  • Evaluation:
    + primary- authentic
    + secondary- inexpensive and easily accessed
    + meta- high validity as large, varied sample
    ~ primary- time and effort
    ~ secondary- validity challenged due to content of data
    ~ meta- publication bias
30
Q

Measures of Central Tendency

A

=general term for any measure of average value in a set of data- used in descriptive stats (graphs/tables etc)

  • Mean=adding up all values and dividing by total number of values
    + more representative
    ~ easily distorted by extreme values
  • Median=central value in a set of ordered, chronological data
    + extreme values do not affect it
    + easy to calculate
    ~ less sensitive as values ignored
  • Mode=most frequently occurring value in a set of data
    + easy to calculate
    ~ crude measure
31
Q

Measures of Dispersion

A

=general term for any measure of the spread in a set of scores

  • Range=subtracting lowest score from the highest score (and adding one as mathematical correction)
    + easy to calculate
    ~ only takes into account most extreme values
    ~ does not indicate numbers grouped around mean or spread out
  • Standard deviation=tells us by how much, on average, each score deviates from the mean
    + much more precise
    ~ can be distorted by extreme values
32
Q

Presentation of Quantitative Data- Tables and Graphs

A
  • Summarising data in a table:
    =when tables appear in a results section, they have been converted to descriptive stats
    =include summary paragraph explaining numbers and drawing conclusions
  • Bar charts:
    =difference in mean values easily seen
    =nominal data (categorical)
    =separate bars as separate conditions
  • Histograms:
    =touching bars as continuous data
    =area of bar represents frequency
  • Scattergrams:
    =represents strength and direction of relationship between co-variables
33
Q

Presentation of Quantitative Data- Distributions

A
  • Normal distribution=symmetrical spread of frequency data that forms a bell-shaped curve
    =mean, median, mode at highest peak
  • Skewed distributions=spread of frequency data that is not symmetrical, where the data clusters to one end
    =positive skew- long tail is on positive(right) side of peak and distribution concentrated on left
    =negative skew- long tail on negative(left) side of peak and distribution concentrated on right
34
Q

Peer Review and Psychological Research and the Economy- the Role of Peer Review

A

=the assessment of scientific work by others who are specialists in the same field, to ensure that any research intended for publication is of high quality

  • Main aims:
    =allocate research funding
    =validate quality and relevance of research
    =suggest amendments
  • Evaluation:
    =anonymity- of reviewer for more honest appraisal- some use as means to criticise other researchers as they are in direct competition
    =publication bias- prefer to publish significant findings to increase their credibility- false impression of psychology
    =burying groundbreaking research- suppressing opposition to mainstream theories- slows down rate of change
35
Q

Peer Review and Psychological Research and the Economy- Implications for the Economy

A

=the state of a country/region in terms of the production and consumption of goods and services

  • Attachment research into role of the father:
    =showed both parents equally capable of providing emotional support for healthy development- promoting flexible working arrangements
    =modern parents better equipped maximise income and contribute more effectively to economy
  • Development of treatments for mental disorders:
    =absence from work costs economy £15 billion/year
    =1/3 absences moderate health disorders
    =patients assessed quickly and receive swift access to treatment
    =can manage conditions effectively and return to work- economic benefit is considerable
36
Q

A2- Case Studies

A

=in-depth investigation, description and analysis of a single individual, group, institution or event

  • Qualitative data usually- case history of individual using interviews/questionnaires etc
  • Longitudinal with potential additional data from family and friends
  • Evaluation:
    + rich data
    + contribute to understanding of typical functioning
    + generate hypotheses for future study
    ~ not generalisable
    ~ subjective selection and interpretation of researcher=low validity
37
Q

A2- Content Analysis

A

=enables indirect study of behaviour by examining communications that people produce

  • Coding and quantitative data:
    =coding- the communication to be studied is analysed by identifying each instance of the chosen categories- counting how many times something appears
  • Thematic analysis and qualitative data:
    =thematic analysis- inductive and qualitative approach to analysis involving identifying implicit/explicit ideas within the data
    =themes will emerge once the data has been coded
  • Evaluation:
    + navigates ethical issues well
    + communications have high external validity
    + produces qual and quant data
    ~ indirect study so analysed outside context in which occurred
    ~ lack objectivity
38
Q

A2- Reliability- Ways of Assessing

A

=how consistent a measuring device is

  • Test-retest reliability:
    =assessing the same person via the same means on two different occasions
    =must be sufficient time in between
    =if correlated above 0.8 then reliable
  • Inter-observer reliability:
    =extent to which agreement between two observers involved in observations
    =same behavioural categories but record own data separately
    =if correlated above 0.8 then reliable
39
Q

A2- Reliability- Improving Reliability

A
  • Questionnaires:
    =test-retest
    =correlation coefficient exceeding 0.8
    =low test-retest then changed/rewritten- replace open questions with closed
  • Interviews:
    =inter-interviewer
    =interviewers properly trained so no leading questions
    =more easily avoided in structured interviews
  • Observations:
    =inter-observer
    =behavioural categories properly operationalised
    =categories should not overlap
    =low inter-observer then further training
  • Experiments:
    =standardised procedures
40
Q

A2- Validity- Types

A

=extent to which observed effect is genuine- measure what supposed to and generalisable

  • Internal validity=whether observed effects due to manipulation of IV
    =threat to this is demand characteristics
  • External validity=whether research can be generalised to other settings, populations, eras
    =ecological- extent to which findings generalised to other settings/situations
    =temporal- extent to which findings generalised to historical times/eras
41
Q

A2- Validity- Ways of Assessing and Improving Validity

A
  • Face validity=when a measure is scrutinised to determine whether appears measure what supposed to
  • Concurrent validity=extent to which psychological measure relates to existing similar measure- results similar to other test
  • Experiments:
    =control group- internal
    =standardised procedures- internal
    =single/double blind procedures- internal
  • Questionnaires:
    =lie scale- control social desirability bias- internal
    =assuring anonymity
  • Observations:
    =minimal intervention- ecological
    =behavioural categories
  • Qualitative research:
    =depth and detail- ecological
    =interpretative validity- extent to which interpretation of events matches that of participants
    =triangulation
42
Q

A2- Probability and Significance

A

=Probability=measure of the likelihood that particular event will occur- 0=statistical impossibility and 1=statistical certainty
=Significance=how sure we are that a difference or correlation exists

  • Alternative hypothesis=directional/non-directional
  • Null hypothesis=no difference between conditions
    =stats test determines which hypothesis accepted and rejected
  • Significance level=point at which claim discovered large enough difference/correlation to claim an effect has been found- 0.05 / 5%
    = p ≤ 0.05 = due to chance
43
Q

A2- Use of Stats Tables and Type I/II Errors

A
  • Calculated value compared to critical value from table
    =one-tailed (directional) or two-tailed (non-directional)
    =number of participants/degrees of freedom
    =level of significance
  • 0.05=standard level of significance
    0.01=more stringent level- studies with human costs (drug trials)
    0.1=more lenient as significance not found at lower level
  • Type I error (false positive)=null rejected, alternative accepted but should be other way around
    =0.1
  • Type II error (false negative)=null accepted, alternative rejected but should be other way around
    =0.01
    =0.05 balances risk
44
Q

A2- Choosing A Statistical Test

A
  • Used to determine whether difference/correlation found in an investigation is significant
  • Levels of measurement
    Nominal=categoric
    Ordinal=rate/scale
    Interval=numerical with sizes- measurement
                 Difference          Correlation 
                 Un          Re 
    N          Chi          Sign          Chi 
    O          Man        Wil            Spear
     I           Un           Re             Pea
    
              Central tendency   Dispersion  Nominal      Mode                    N/A Ordinal        Median                 Range  Interval        Mean                    S.D
  • Parametric test
    Interval data
    Normal distribution
    Homogeneity of variance
45
Q

A2- Mann-Whitney U

A
  • Requirements:
    Difference
    Unrelated
    Ordinal
  • U=where both groups meet on critical value table
46
Q

A2- Wilcoxon T

A
  • Requirements
    Difference
    Related
    Ordinal
  • T=participant value in critical table
47
Q

A2- Unrelated t-test

A
  • Requirements
    Difference
    Unrelated
    Interval
  • df=Na+Nb-2
48
Q

A2- Related t-test

A
  • Requirements
    Difference
    Related
    Interval
  • df=N-1
49
Q

A2- Spearman’s Rho

A
  • Requirements
    Correlation
    Ordinal
  • rho=participant value in critical table
50
Q

A2- Pearson’s r

A
  • Requirements
    Correlation
    Interval
  • r=df=N-2
51
Q

A2- Chi-Squared

A
  • Requirements
    Difference/correlation
    Unrelated
    Nominal
  • df=(rows-1)(columns-1)
  • Draw contingency table
    2x2 = 2 groups and 2 variables
    But extra column and row for totals
52
Q

A2- Features of a Science

A
  • Paradigm and paradigm shift- Kuhn:
    =shared set of assumptions
    =psychology has multiple paradigms whereas natural sciences have one universal=not scientific
    =paradigm shift when contradictory evidence replaces old paradigm due to scientific revolution
  • Theory construction and hypothesis testing:
    =gathering evidence via direct observation
    =hypotheses are tested to determine whether supported and scientific
  • Falsifiability- Popper:
    =concepts only scientific if can be proven false by the evidence
    =psychology allows for falsifiability through alternative and null hypothesis
  • Replicability- Popper:
    =only scientific if findings repeatable across different contexts and circumstances
    =leads to validity, reliability and generalisability
  • Objectivity and empirical method:
    =biases cannot influence data or behaviour of participants- more control is more objective
    =importance of data collection based on direct, sensory experience