Psychological measurement Flashcards
(58 cards)
levels of measurement
nominal
ordinal
interval
ratio
nominal data
can only be categorised
ordinal data
ranked
interval data
ranked and evenly spaced
ratio data
data can be ranked, evenly spaced and have a natural zero
how are raw scores converted to standard scores
by subtracting the mean from the original score and dividing the result by the standard deviation
aim of psychological measurement
to make meaningful comparisons among people to calculate statistics
what do correlation coefficients (r) tell us
how strongly two variables are related and in which direction (positive or negative)
what value tells us there is no correlation
r = .00
what value tells us there is a strong correlation
+0.40 or higher
-0.40 or lower
what value tells us there is a moderate correlation
between +0.20 and +0.40
between -0.20 and -0.40
what value tells us there is a weak correlation
between -0.20 and +0.20
the larger the sample size…
the greater the statistical power to obtain statistically significant results
what makes a good sample
samples should be reasonably representative of the population that the researcher wants to learn about
potential problems with samples
-WEIRD populations (Western, Educated, Industrialised, Rich and Democratic)
-psychology student samples
-if samples show restricted variance - correlations are standardised covariances, so restricted variance = restricted covariance
reliability
the extent to which a measure produces consistent results
does the obtained score represent the ‘true level’ of the construct being measured?
types of reliability
-internal-consistency reliability
-inter-rater reliability (inter-observer)
-test-retest reliability
internal-consistency reliability
the extent to which the items of a measure are correlated with one another
test-retest reliability
the extent of consistency between scores across different measurement occasions
e.g. now vs 1 year later
inter-rater reliability
the extent of consistency between the scores of different raters/ observers
validity
the extent to which a test measures what it claims to measure
content validity
the extent to which a measure assesses all relevant features of the construct, and does not assess irrelevant features
construct validity
the extent to which a measure assesses the same construct that it is intended to assess
convergent construct validity
correspondence with measures assessing similar (positive relations) or opposite (negative relations) characteristics