To date, psychodiagnostics is involved in solving a wide range of problems

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Machine Translated by Google

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As a result of this more precise procedure, developers supply
the possibility of expressing test scores relative to the sample
On the IQ scale, the center is 100 and the deviation is 15.
T = 50 +10ÿ
standardization of indicators, comparison of such assessments in different test
Before psychodiagnostic methods can be used for practical purposes, they must be
tested according to a number of formal criteria that prove their high quality and effectiveness.
These requirements in psychodiagnostics have evolved over the years in the process of
working on tests and improving them. As a result, it became possible to protect psychology
from all sorts of illiterate fakes that claim to be called diagnostic methods.
If the conversion is required to the “walls” scale, then the conversion formula from the Z
scale looks like this:
For serious professional tests, instead of the simplest linear standardization, a more complex
non-linear standardization procedure is used.
In the McCall T-scale, the center is 50, the deviation is 10:
correspondences between the intervals of the raw scale and the intervals of the standard.
methods.
Thus, due to the standardization of the methodology, the comparability of the results
obtained in different subjects is achieved,
IQ = 100+15ÿ
After receiving the standard Z score, you can transfer the test score to any standard test
scale adopted in psychodiagnostics.
S= 5.5+2ÿ
The main criteria for evaluating psychodiagnostic methods are reliability and validity.
A great contribution to the development of these concepts was made by foreign psychologists
(A. Anaztazi, E. Ghiselli, J. Gilford, L. Cronbach, R. Thorndike and E. Hagen, etc.). They
developed both formal-logical and mathematical-statistical
test users with a conversion table to convert raw scores to
For example, the transfer to the IQ scale is made according to the formula:
In the wall scale, the center is 5.5 and the deviation is 2.
standard scores on a given scale. It provides a complete list
normalization (forced transition to a normal distribution).
where Z (with center 0 and deviation 1), ÿ – raw test score, Xav –
the average score for the standardization sample, Sx is the standard deviation for the
standardization sample.