Validity

Cards (17)

  • Validity
    The ability of a test to measure what it is intended to measure
  • Internal validity
    extent to which we can draw cause-and-effect inferences from a study
  • external validity
    extent to which we can generalize findings to real-world settings
  • Lack of internal validity in research
    occurs when there is bias - social desirability bias - where participants act in a more socially acceptable way to look good demand characteristics- participants figure out the aim of the stuffy and behave in a way that will support the researchers theory/ study investigator effects- where the resreachers consciously or unconsciously influences participants behaviour they can also be biased when interpreting participants behaviour and responses
  • unconctrolled extraneous variables - lack of control not using standardised procedures not controlling participant variables by randomly assigning participants to groups this may effect the DV
  • Lack of external validity
    where study is not reflective of the real world and cannot be generalised across , time/ culture/ settings
  • Ecological validity
    extent to which results can be generalised to other settings
  • Mundane realism
    how closely a study mirrors real-life experiences
  • Population validity
    Generalizability of findings to broader populations.lead to gender or culture bias
  • Temporal validity
    the degree to which the results can be generalized across time
  • Assessing validity
    Face validity and concurrent validity
  • Face validity
    does the measured behaviour have face validity whether the test appears to measure what it claims to measure
  • Criterion validity
    the extent to which a measure is related to an outcome types concurrent and predictive validity
  • Concurrent validity
    the extent to which two measures of the same trait or ability agree
  • Predictive validity
    the extent to which performance on a test can predict future performance , outcomes
  • Improving internal validity
    improved by demonstrating high levels of control over variables to establish cause and effect relationship between IV and DV and not extraneous variables on DV. random allocation - controls participant variables standardised procedure- controls extraneous variables counterbalancing- controls order effects single and double blind procedures- controls researcher bias and demand characteristics peer review- controls researcher bias
  • Improving external validity
    improved by demonstrating that findings are generalisable replications ensures cause and effect relationships observed in the original study is not just limited to that one experimental/ observational set up. replicating findings in multiple settings improves ecological validity replicating findings In diverse groups of people improves population validity use diverse sample replicating historical studies improves temporal validity - modern day replication replicating findings using realistic tasks improves mundane realism