reliability is the extent to which a test produces a consistent finding every time
if an experiment or study is reliable we expect to find the same results carried out on another day
assess reliability by using:
questionnaires and psychological testing
observations
interobserver reliability is the extent to which there is agreement between 2 or more observers involved in observations independently and compare their results to ensure no bias
test retest reliability is administrating same test/questionnaire to same person on different occasions - if reliable results obtained should be the same
observations are measured by correlating the observation of 2 or more observers
strong correlation = reliability is good
when using observations to test reliability there must be sufficient time between the test and retest (1-2 weeks) to ensure participants cannot recall their answers
questionnaires can be improved by:
making sure items on scale/questions asked are clear so cannot be interpreted
if open ended questions being asked they can be changes to closed
try use same interviewer each time so that they know not to ask leading questions
observations can be improved by
ensuring all behavioural categories and criteria are clearly defined
ensure observers are sufficiently trained and practiced in using behavioural categories as they can respond more quickly
experiments can be improved by
procedures repeated are exactly the same so they are standardised
careful in controlling effects of confounding variables and control research
validity is making sure the data we collect in study represents reality
validity can be split into concerns about what is going on inside (internal validity) and what is going on outside (external validity)
internal validity is what goes on within the study
internal validity is a measure of internal consistency of experiment and to the extent to which it can be said IV causes change to DV
external validity is what goes on after the study
external validity is the measure of extend to which results from experiment can be generalised beyond context of experiment
factors affecting internal validity include
extraneous variables
confounding variables
demand characteristics
investigator effects
social desirability bias
poor operalisation
assessing validity can be done through face and concurrent
using concurrent to assess validity
extend to which psychological measure relates to existing, well established and similar measure
if the low concurrent validity is low then researchers should move questions which may seem irrelevant
if scale or measure is judged to have poor face validity then questions should be revised so they relate more obviously to the topic
by controlling confounding variables you can impove validity
reducing the possibility of researcher bias (ensuing tasks is objective and little or no interpretation) is another way of improving validity
eliminating investigating effects (wearing same clothing, same scripts) can also help to improve validity of experiment
to improve external validity you should use large sample (10% of target population) in order to be able to generalise your random sample