Lecture 8 Flashcards
To interpret test scores, scores have to be compared to one or more reference points, Flanagan distinguished four different types of reference points…
- norm-referenced test score interpretation: test takers score is compared to other test takers
- test-referenced test score interpretation: test takers score is compared to his scores on other tests or subtests
- occasion-referenced test score interpretation: test takers test score is compared to his score from the same test from another occasion
- criterion-referenced test score interpretation: test taker’s test score is compared to an external criterion or standard
What means norm-referenced test score interpretation?
that the position of the test taker’s score is assessed with respect to the scores of the other test taker’s.
Name 4 sampling methods
- simple random
- stratified random
- cluster
- judgemental sampling
What is probability sampling?
simple random, stratified random and cluster sampling are probability sampling methods, and the generalization of sample characteristics to population characteristics is justified by probability theory
What is non-probability sampling?
judgemental sampling is a form of non-probability sampling. generalization of the sample to the population can only be made by judgement, and not by probability theory
What is stratified random sampling?
the population is split into non-overlapping strata. Then, randomly sample persons per stratum, with sample sizes according to proportion of persons in each stratum (=proportional allocation)
What is cluster sampling?
simple random sampling of groups (clusters) of persons from a population of groups of persons. This can be done in two stages: one-stage cluster sampling-> clusters are randomly selected, and all persons of the selected clusters are tested.
two-stage cluster sampling -> clusters are randomly selected from a population of clusters, and only a simple random sample of persons from each cluster is tested, and so on.
What is judgemental sampling?
persons are selected purposely and not by random selection.
What is the difference between distribution shape-invariant transformations and distribution shape-enforcing transformations?
distribution shape-invariant transformations -> scale transformation that do not change the shape of the test score distribution
distribution shape-enforcing transformations -> transformations that enforce a shape on the distribution
What is done by an distribution shape-invariant transformation?
these transformations transforms the original origin and unit of a scale to a new scale that has another origin and unit, but leaves the shape.
How is the z-score transformation computed? (distribution shape-invariant transformation)
Zj = (TS - gemTS) / (s)
–> Standardized Z score = test score minus sample mean divided by the standard deviation of the test
name to characteristics of Z-scores
- mean = 0
2. SD = 1
What is the general format of a linear transformation?
Yj = bXj + a
Yj = normed score of person j Xj = raw score of person j b = slope (sd) a = intercept (mean)
Name 3 common shape invariant transformations, along with their mean and SD
Type of transformation Mean SD
Z-score 0 1
T-score 50 10
IQ-score 100 15
What is done by a distribution shape-enforcing scale transformation?
this transformation not only changes the mean and SD, but also changes the shape of the test score distribution.
The normed scores and raw scores have different distributions