Psychological assessment scale missing item filling method
A filling method and technology for missing items, which are applied in the field of filling missing items in psychological assessment scales, which can solve problems such as inability to evaluate, inaccurate evaluation results, and missing partial values in evaluation scales.
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Embodiment 1
[0052] Such as figure 1 As shown, a method for filling the missing items of the psychological evaluation scale includes the following steps:
[0053] S1. Establish a two-dimensional matrix R according to the existing psychological evaluation scales of several similar evaluation objects. The two-dimensional matrix R includes evaluation objects and evaluation items, as shown in Table 1:
[0054] Table 1
[0055]
[0056]In Table 1, the symbol "×" indicates the missing item in the evaluation object. Considering that in the actual evaluation process, an evaluation object in a group of evaluation objects often has several evaluation objects similar to his mental state, and these persons with similar mental states may give very similar choices to the same evaluation item, that is, These test subjects scored similarly on the same test items. Based on this principle, the unknown score r of the jth item filling the evaluation object u uj When , you can use the scores of other ev...
Embodiment 2
[0086] This embodiment is based on embodiment 1, and the difference from the embodiment is that when the data in the two-dimensional matrix R is a sparse scene, use matrix sum To approximate the A matrix and b vector respectively, matrix sum A vector is defined as follows:
[0087]
[0088] In the formula, v, m∈N(u);
[0089]
[0090] In the formula, v∈N(u);
[0091] For each pair of evaluation objects (v∈N(u), m∈N(u), use formula (7) to calculate straight, then according to The value calculates avg as shown in the following formula:
[0092]
[0093] Approximate the A matrix and b vector as matrix sum vector, then there are:
[0094]
[0095] In the formula, v, m∈N(u), avg is all The average value of , β is a constant that controls scaling;
[0096]
[0097] In the formula, v,m∈N(u); avg is all The average value of , β is a constant that controls scaling;
[0098] matrix sum The vectors are the approximation of the A matrix and the b ...
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