Repeated-measures ANALYSIS OF VARIANCE. Baisal Arshyn.pptx
1. What is the analysis of variance in
simple words?
Variance analysis is a method in mathematical
statistics aimed at finding dependencies in
experimental data by examining the significance
of differences in averages. Unlike the t-test, it
allows you to compare the average values of three
or more groups.
4. What are repeated
measurements?
The OLM-Repeated Measurements
procedure performs a variance analysis
when the same measurement is performed
several times for each subject or
observation.
5. How to analyze the variance?
The main logic of the analysis of variance is that this
check is carried out by dividing the sum of squares
into components, i.e. by dividing the total variance
(variation) into parts, one of which is due to a random
error (i.e. intra-group variability), and the second is
related to the difference in average values.
6. What is repeated
measurement analysis?
The analysis of repeated measurements
concerns reaction results measured at the
same experimental facility at different times
or under different conditions.
7. When planning repeated measurements,
the same participants are involved in each
condition, so extraneous participant
variables such as individual differences
can be excluded. By reducing the
influence of the participating variables,
the repeated measurement plan has good
internal validity.
8. What are the limitations when
developing repeated
measurements?
The disadvantages of repeated measurements are that
there may be an ordering effect and that the range of
potential use is smaller than that of independent
groups, since it is not always possible to test the
same participants twice.
