lecture 2- reliability Flashcards
reliability is a … property of a test
fundamental
if a test is …. it will never be valid ie reliability is a necessary (but obviously not sufficient) condition for validity
not reliable
who is reliability important for?
particularly important for applied psychologists (clinical psychologists, clinical neuropsychologists, educational psychologist) as they deal with individual areas
what do reliability coefficients tell us?
tell us how much of the variability in scores on tests is true variability (ie signal) and how much of it is measured error (ie noise)
if a psychological test has a reliability coefficient of (say) 0.8, then 80% of the variability in scores is true variability (ie the test is picking up real differences in the construct being measured)
- it follows that 20% of the variability in scores reflects measurement error ie noise in the instrument
what can the reliability coefficient be seen as?
the reliability coefficient can be seen as a signal-to-(signal plus noise) ratio
what is the formula for reliability?
reliability(ie r11) = true variance/ total variance
what does r11 mean?
because it can be seen as the tests correlation with (a strictly parallel version of ) itself - there is always measurement error so the correlation is not perfect
what does reliability allow us to do?
allows us to quantify the confidence we have in our test results and allows us to assess whether differences between an individuals scores are liable to reflect true differences in ability or may have simple arisen by chance
what are psychologists warned not to do?
are often warned not to reify a test score: it is only an estimate of an individuals true ability level or mood level ect
what do reliability coefficients allow us to form?
allow us to form confidence intervals on scores to help remind us of the above
what can lead psychologist astray?
as much of clinical practice is concerned with differences between an individuals abilities, a failure to consider the reliability of measures can lead the psychologist astray
chapman and chapman (1993) provided a classic illustration of artefacts arising from differences in reliability
- skits patients were compared to a healthy control sample on two tasks
- the skits sample appeared to have a severe deficit on only one of the tasks
- was in fact the same task but one version rendered less reliable (by shortening the task)
reliability coefficients, how high should they be?
there is no absolute rule (will depend on purpose) but various standards have been proposed:
- Nunnally and Bernstein (1994) take a hard line and propose that reliability coefficients should be above 0.90
others are less demanding:
- sattler (2001) suggests that tests with reliabilities of 0.70 and above should be considered to be “reliable”
- similarly, Cicchetti (1994) suggests tests with reliabilities below 0.70 should be considered “unreliable”
can reliability be too high?
yes, if we are trying to measure a broad, multifaceted, construct then a very high reliability may indicate a problem (Boyle, 1985)