Quality Aspects (4)
Norm
Total
certain groups
Comparability
parallel test forms
Economy
time
material
group test
scoring
Utility
no other test could do the job better
Test norms
(Raw scores, z-scores, T-Scores, IQ-Scores) + Transformations
Purpose of standard scores
Why don‘t we just use raw scores?
Suppose that a student, twenty years old, received a raw score of 60 on the on the Wechsler‘s Intelligence Scale
Does this mean that his/her mental abilities are in the average range?
Impossible to tell since there is no clearly defined and uniform frame of reference (i.e., standardized scale)
The purpose of standard scores (e.g., Z-scores, IQ scores, T-scores) is to transform individual raw scores into a standard form that provides a more meaningful description of the individual scores within the distribution
This is because standard scores have a known mean and standard deviation enabling us to compare individual test results with the test performance of the standardization sample
Test Norms: Stanine
Very simple way of categorizing test performances into top, middle and bottom percentages
Very imprecise way to categorize anything
Everyone in the same stanine receives the same score
Example: Someone at the bottom of the 5 th is almost 20 percentage points below the person at the top of the 5th (40% vs. 60%)
Only useful when a test is unreliable (rtt < .75) because it is an imprecise measure anyway
Quality of Psychological Tests – Rules of thumb
reliability
validity
normative sample
CTT – Reliability: Definition
Formula
Last changed4 months ago