Research Methods

Cards (97)

  • qualititative and quantitative data are empirical data
  • qualitative
    'quality'
    written
    expresses thoughts/feelings
    cannot be quantified
    eg interviews
  • quantitative
    'quantity'
    numerical
    how much/how long/how many
    measured
  • quantitative evaluation
    :-) easy to analyse, quick and precise
    :-( limited therefore lacks detail
  • qualitative evaluation
    :-) can form further research, full scope of info
    :-( difficult to analyse, researcher bias
  • primary data is gathered first hand by the researcher
  • primary data evaluation
    :-) control over data, recent and current
    :-( lengthy, time consuming and expensive
  • secondary data is collected by someone else
  • secondary data evaluation
    :-) easy, cheap and quick
    :-( past data may not be relevant, may not be exact
  • meta analysis is a statistical technique for combining findings of several studies
  • independent variable is the one you change
  • dependent variable is the one thats measured
  • extraneous variables are anything that isn't the IV effecting the DV, become confounding variables if uncontrolled
  • an aim is a clear and precise statement of the purpose of the study
  • a hypothesis is a testable statement predicting the results of the research. if the results support the hypothesis its retained. if it doesn't, it's rejected
  • non directional aka two tailed hypothesis
    states the iv will have an effect on the dv but doesn't predict how
  • a non directional hypothesis should use the words significant difference
  • directional aka one tailed hypothesis
    the iv will have an effect on the dv and what the effect is
  • directional hypotheses should include a direction word eg higher or lower
  • null hypotheses states there will be no significant effect of the iv on the dv
  • operationalisation is defining the variables so they can be tested precisely
  • the experimental methods are lab, quasi, field and natural
  • laboratory experimental method
    setting: artificial
    iv: manipulated
    example: effects of alcohol on reaction time in a controlled setting
    :-) replicable, high variable control to establish C+E
    :-( low ecov, high dc's
  • quasi experimental method
    setting: usually artificial
    iv: naturally occuring eg sex
    example: gender difference in time completing memory task
    :-) replicable, high variable control to establish C+E
    :-( low ecov, high dc's
  • field experimental method
    setting: natural
    iv: manipulated
    example: piliavin
    :-) high ecov, low dc's
    :-( hard to replicate, low variable control
  • natural experimental method
    setting: natural
    iv: natural
    example: smoking was banned from all public places for a six-month period
    :-) high ecov, low dc's
    :-( hard to replicate, low variable control
  • extraneous variables
    participant variables, situational variables, experimenter effects and demand characteristics
  • demand characteristics are environmental clues and cues in an investigation that cause unnatural behaviour, to please the researcher, to skew the results for funny or self consciousness
  • to improve internal validity, the researcher must control extraneous variables
  • minimising participant variables - repeated measures design
  • minimising situational variables - controlled setting or counterbalancing (ABBA)
  • minimising experimenter variables - double blind technique
  • minimising demand c's - single blind technique
  • Validity means accuracy; whether a study measures what it intends to measure
  • internal validity - does it measure what it intends to?
    were ev's controlled?
  • external validity - can the research be generalised outside of the research setting to other settings (ecological), other people (population) or other times (temporal)
  • assessing validity
    face validity - 'on the face of it'
    concurrent validity - does it provide a close match to results from established test
  • improving validity
    experiments - high control, standardised procedures
    questionnaires - anonymity
    observations - covert
    qualitative methods - triangulation (more than one research method)
  • reliability means consistency. the results are reliable if the same results are consistently found
  • just because a study is reliable it doesn't mean it's valid. a study can be reliably invalid