Rank Determination of Mental Functions by 1D Wavelets and Partial Correlation

Area of Science:

• Psychology
• Cognitive Science
• Data Analysis

Background:

• The Wechsler Adult Intelligence Scale-Revised (WAIS-R) is a key tool for assessing adult cognitive abilities.
• Understanding the relationship between mental functioning and psychological disorders is crucial.
• Existing methods may not fully capture the complex interplay of factors influencing cognitive skills.

Purpose of the Study:

• To classify mental functions using WAIS-R test data.
• To explore the relationship between cognitive performance and psychological disorder indicators.
• To develop and apply a novel mixed-method approach for cognitive function analysis.

Main Methods:

• Utilized the Wechsler Adult Intelligence Scale-Revised (WAIS-R) for cognitive assessment.
• Applied a mixed methodology combining wavelet analysis (1-D Continuous Wavelet Analysis, 1-D Wavelet Coefficient Method) and partial correlation.
• Analyzed WAIS-R parameters including School Education, Gender, Age, Performance Information, Verbal, and Full Scale Intelligence Quotient.

Main Results:

• Identified significant relationships between WAIS-R parameters and cognitive functioning.
• Demonstrated a significant negative association between gender and age/Performance Information Verbal factors.
• Established a significant link between age and changes in Performance Information Verbal and Full Scale Intelligence Quotient.

Conclusions:

• The proposed wavelet and partial correlation method effectively classifies mental functions based on WAIS-R data.
• Gender and age are significant factors influencing specific cognitive abilities measured by the WAIS-R.
• This approach offers insights into cognitive profiles relevant to psychological disorder research.