research methods

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  • Created by: f00233
  • Created on: 27-05-18 18:33

TYPES OF VARIABLES

Independent-

the thing that you manipulate in a study to see the effect it has on another variable 

Dependent-

the thing that you measure in a study

Operational-

the specific way in which its measured in the study

Extraneous-

any variable apart from the iv that may affect the dv, impacting the validity. anything that could impact the performance(situational; time, weather, noise. participant; age, mood, IQ)

Confounding-

have caused an influence on the study 

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TYPES OF VALIDITY

external-the degree to which the findings can be generalised to other settings

internal-the degree to which an observed effect was due to manipulation or other variables 

ecological-the extent to which the results can be generalized to real life settings

face-when a study completes its aim

population-how well a sample can be generalized to the whole world/target population 

temporal-refers to the validity of the findings in relation to the progession of time (is it a "child of it's time"?)

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TYPES OF EXPERIMENTAL DESIGN

  • Repeated measures, each participant receives all the conditions

- the order of the conditions may impact results=order effects 

- can guess the purpose=demand characteristics 

  • Independent groups, only participates in one condition

- can't control the effectsof participant variables 

- needs double the amount of participants= costly

  • Matched pairs , two groups matched on key characeristics, only participates in one condition 

- time consuming and difficult to match 

- not possible to control all participant variables 

  • you can... counter balance (ABBA), randomly allocate( number from hat) conduct pilot study
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TYPES OF EXPERIMENTS

  • labatory 

conducted in a special environment with high control

normally artificial tasks, participants are aware they're in a study 

+ high control over variables, high internal validity, standardised  

- low ecological validity, demand charcteristics, can't be generalized  

  • field 

conducted in everyday setting of participants

IV is still manipulated, participants not usually aware 

+ higher ecological validity

- hard to control variables, ethical issues 

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TYPES OF EXPERIMENTS

  • natural

conducted in everyday environment, but the IV is naturally occuring

+ high ecological validity, less demand characteristics, allows research on normally unethical things, get to study real life problems

-only a correlation as IV isnt manipulated, no control over variables, threat to internal validity 

  • quasi 

the IV is naturally occured but the DV is measured, the IV has not been made to vary but its pre existing features (gender, ethnicity, age, LoC, sexuality) 

+ allows comparisons between different types of people 

- demand characteristics, impacts internal validity, normally artificial task= low ecological validity

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TYPES OF SAMPLING

  • opportunity those convenient or avaliable  

+ easy, less time consuming

- biased (confident ones or those who don't work) 

  • random random number generator, lottery method, random table number

+ unbiased, everyone has an equal chance of selection

- time consuming

  • volunteer advertise the study 

+ access to a variety, less biased and more representitive

- volunteer bias (more helpful, confident, more time)

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TYPES OF SAMPLING

  • stratified

subgroups within a population are identified,selected through random allocation

+ representative 

- very time consuming

  • systematic

pretermined system (every nth person), the interval is applied continuously

+ unbiased

- bias unless you use random selection, then every nth person 

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ETHICAL ISSUES

  • informed consent
    • RPOV, revealing true aims, but then they may guess (demand characterisitcs)
    • PPOV, basic human right of whether to participate 
  • deception
    • RPOV, necessary to hold truth, you can withhold some aims but not provide false aims
    • PPOV, unethical, leads to psychologosists seen as untrustworthy,wont want to participate
  • right to withdraw 
    • RPOV, if they leave then the strong ones are left, biased sample
    • PPOV, withdraw if uncomfortable, money or a reward are given which forces them to stay
  • confidentiality
    • RPOV, may be difficult if they're wanting to publish results, may only guarantee anonimity
    • PPOV, only acceptable for a persons data to be recorded if the data hides the participant
  • privacy
    • RPOV, hard to avoid if you're doing a field/natural study 
    • PPOV, they won't be expecting to be studied, invasion of privacy
  • protection from harm
    • RPOV, vital questions may cause distress, difficult to predict outcomes, not guaranteed
    • PPOV, must leave the study in the same state they arrived, no extra harm 
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DEALING WITH THESE ISSUES

  • BPS guidelines
  • cost benefit analysis
  • ethics committee
  • punishment of psychologist
  • informed consent= presumptive, prior, parental consent
  • deception= debriefing
  • right to withdraw= told at start their right 
  • protection from harm= stop study if there's harm, avoid risks greater than everyday life
  • confidentiality= shouldn't record names, just as numbers
  • privacy= don't study anyone without informed consent 
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PROBLEMS WITH EXPERIMENTS

  • demand characteristics
    • the totality of cues that convey the experimental hypothesis to the participant that becomes determinates of the participants behaviour- Orne
    • in experients, participants are unsure of what to do, they actively look for clues to see how they should behave. 
    • acts as an extraneous variable 
  • investigator effects
    • any cues from an investigator that encourage a certain behaviour which will lead to the fulfiment of the experimentors expectations
    • indirect- refers to situations where an investigator may not clearly specify the standardised procedure, leaves room for the results to be influenced by the experimenter.
  • dealing with these issues
    • single blind design
      • participant is not aware of the aims/condition they're recieving
    • double blind design
      • both participant and experimentor are blind to the aims
    • experimental realism
      • if the task is engaging they'll focus on the study, not that they're being observed 
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OBSERVATIONAL TECHNIQUES

  • naturalistic
    • natural situation where everything is left as it was 
    • researcher does not interfere with the environment 
    • observing people in their natural environment (e.g child in nursery)

+ realistic, high ecological validity

- little control over other things that may impact their behaviour, unethical 

  • controlled
    • variables are regulated by the researcher 
    • allows them to investigate the effects of certain things on another

+ able to establish cause and effect, highly controlled

- lack validity, demand characteristics if it isn't natural 

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OBSERVATIONAL TECHNIQUES

  • overt, participant knows they're being observed 

+ can gain informed consent 

- investigator effects, demand characteristics, social desirability bias

  • covert, participants unaware they're in a study

+ behaviour is natural, investigator effects are unlikely

- unethical

  • participant, researcher is part of the group being observed

+ obtain in depth data 

- presence might influence their behaviour, could be risky and dangerous is caught 

  • non-participant, observes from a distance and doesn't interact 

- might overlook or miss important behaviours

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OBSERVATIONAL DESIGN

  • unstructured observation
    • record all relevant behaviour with no system 
    • too much to record, only record the eyecatching/visible behaviour 
    • may use this approach as a pilot study for a structured observation later on 
  • structured observation
    • aims to be objective and rigorous
    • main two ways of observing is behavioural categories or sampling procedures
  • behavioural categories
    • should be objective
    • cover all possible behaviours without having a waste/other category
    • be mutally exclusive/specific, the behaviour shoudl fit into only one category
  • sampling procedure 
    • event sampling
      • counting the number of times a certain behaviour occurs in a target individual
    • time sampling
      • recording behaviours in a given time frame 
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SELF REPORT TECHNIQUES

  • questionnaire
    • set of written questions, to gain both quantitative and qualitative data, always structured

+ distributed to large number, high pop validity, reduces social desirability bias if anonomous

- biased sample, only those who can read or write or those with extra time 

  • structured interview
    • pre-determined questions, a face-to-face questionnaire 

+ standardised, easily repeated, 

- interviewer bias, social desirability bias 

  • unstructured interview 
    • new questions are developed during the interview, known also as a "clinical interview"

+ more detail obtained

- social desirability bias, interviewer effects, trained interviewer=more costly 

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SELF REPORT DESIGN

  • questionnaire construction
    • writing good questions
      • clarity
      • bias 
      • analysis 
        • open/closed questions
    • writing a good questionnaire 
      • filler questions
      • sequence for the questions
      • no leading questions
      • pilot study 
  • design of interviews
    • recording the interview 
    • the effect of the interviewer 
      • non verbal communication
      • listening skills
    • questionning skills in unstructured interview 
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CORRELATIONS

  • correlation
    • systematic assosiation between two continous variables
    • positive= two variables increase together 
    • negative=one variable increases as another decreases 
    • zero=no relashionship between the variables 
  • scattergrams
    • way of presenting a correlation
    • the scatter of the dots indicate the degree of correlation
  • correlation coefficient 
    • a measure of the extent of correlation that exists between the two variables 
    • it is a number, maximum being +1, lowest being -1
    • tells us how closely the variables are related 
    • to find out if it is significant, you have to use the table
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MEASURES OF CENTRAL TENDENCY AND DISPERSION

  • central dendency, tells us the central value of a set of data 
    • mean
      • sensitive, takes account of all numbers= easily distorted 
    • median
      • not affected by extreme scores, not sensitive enough
    • mode
      • unaffected by extreme values, not useful when there are multiple modes 
  • measures of dispersion, tells us how spread out the data is 
    • range
      • easy to calculate, affected by extreme values, fails to take into account the distribution
    • standard deviation
      • precise measure of dispersion, easy to calculate, may hide some of the extreme values 
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DISPLAY OF QUANTITATIVE DATA AND DATA DISTRIBUTION

  • displays 
    • tables
    • bar charts
    • histograms
    • line graph 
    • skattergram
  • data distribution
    • normal
      • classic bell shaped curve 
      • predicted distribution when considering an equal likely set of results
    • skewed
      • not equally distributed around the mean 
        • postive (right foot shaped)
        • negative (left foot shaped)
        • think the shape of a foot (big toe to little toe)
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TYPES OF DATA

  • qualitative
    • how/what they feel and think
    • in depth detail, hard to analyse
  • quantitative
    • how many, how long, how much 
    • forced answer, easy to analyse
  • primary
    • first hand data gathered by researchers themselves
    • time consuming, expensive
  • secondary
    • data collected from someone else earlier
    • quick and easy, economical 
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PEER REVIEW

  • peer review
    • assesment of scientific by others 
    • serves 3 main purposes:
      • allocation of research funding
      • publication of research in academic journals and books 
      • assessing the research rating of a universities department 
  • evaluation
    • hard to find an expert to analyse or review it 
      • poor research is passed on due to them not understanding, smith 1999
    • anonymity is used so reviewers can be honest and objective
      • however as it is a competitive environment, they may review them badly 
    • pulications tend to be positive and paid for, don't have true information
      • publicator bias
    • it results in theorys that follow existing theories being published, rather than contraversial ones
    • still published if deemed poor research, we are eposed to unvalid research
    • as the people reviewing th work are in the smae field, they may prevent it from being published on purpose as there is limited funding, and there's high competition. 
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