Key terms

Cards (26)

  • Subjective
    Research that is based on feelings and interpretations, can be biased
  • Objective
    Research that is based on observable facts, free from bias. Research is not influenced by opinions, feelings or subjective interpretation
  • Quantitative data
    (numerical data) Represents how much, how long, or how many there is of something
  • Qualitative data
    (Non-numerical data) Words that cannot be counted or quantified. quantified by being put in categories and count frequency
  • Primary Research
    Collected by researcher first hand
  • Secondary research
    taken from secondary source, e.g. books, articles, internet
  • Researcher bias
    Anything the researcher does that has an effect on participants performance, can be concious or unconscious
  • Extraneous variable
    Variables that are not the IV and not measured in the study, can become confounding variable if left uncontrolled
  • Confounding variable
    Variable that is not IV but may confound the results and make unreliable
  • Participants variables
    Characteristics of indiv participants (e.g. age, intelligence) that may influence outcome of study
  • Situational variables
    A factor in the environment that could affect the DV (e.g. noise, time)
  • Demand characteristics
    A cue that makes participants unconsciously aware of the aims of a study/ helps participants figure out what researchers expects to find
  • Social desirability bias
    Distortion in the way people answer questions, to look more socially acceptable
  • Mundane realism
    How a study mirrors the real world/ real world events.
  • Internal validity
    Have we measured what we set out to measure?
  • External validity
    To what extent can we generalise findings to different groups of people, situations and measures
  • Population validity
    Form of external validity, the extent to which the findings of a study can be generalised to other groups
  • Ecological validity
    Form of external validity, we can generalise findings from research to real life situations (high ecological validity = high mundane realism)
  • Historical validity
    Form of external validity, can the results be generalised to different time periods?
  • Internal reliability
    The consistency withing the method/the extent to which the method of measurement is kept consistent
  • External reliability
    Consistency of results overtime
  • Standardised procedures
    A set of procedures that are the same for all participants in order to be able to repeat the study and ensure all participants behaviours are measured the
  • Operationalisation of variables
    Ensuring that variables are in a form that can be easily measured
  • Test re-test
    Method used to check external reliability, the same test or interview is given to the same participants on two occasions to see if the same result is obtained
  • Split-half method
    Method of assessing internal reliability by comparing two halves (e.g. psychological test to see if they produce same score)
  • Inter-rater reliability
    Extent to which there is an agreement between two or more observers involved in observation of behaviour