Grade Approach to the Analysis of Questionnaires and Clinical Scales Data

• Autorzy: Wolińska-Welcz A. , Welcz H.
• Języki publikacji: EN

Abstrakty

EN

Grade approach has been applied to visualize and reinvestigate a dataset from diagnostic questionnaires and scales used in psychological and psychiatric clinical practice. Grade exploration reveals important hidden variables strongly influencing other variables and splits questionnaire data into more regular monotone dependent blocks. Two sets of homogeneous and ordered clusters of patients, formed on the basis of first line variables and described also by second line variables, expose links between neurosis symptoms and Internal or External Locus of Control as well as prove useful for specifying and verifying diagnoses. All analyses were performed using the GradeStat program.

Słowa kluczowe

EN

data exploration; grade clustering; symptom check-list; neurotic disorders; Rotter scale

PL

ankieta medyczna; zaburzenia neurotyczne; analiza danych medycznych; statystyka medyczna

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2009
• Tom: Vol. 29, no. 2
• Strony: 59--71
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Wolińska-Welcz A.

autor

Welcz H.

• Uniwersytet Marii Cuire-Skłodowskiej , Instytut Matematyki, Lublin

Bibliografia

• 1. Aleksandrowicz J.W. et al.: Symptoms Check List "S" and "O" - Tools Used for Diagnosis and Description of Neurotic Disorders (in Polish), Psychoterapia. 1981, 37, 11-27.
• 2. Rotter J.B.: Generalized Expectancies for Internal Versus External Control of Reinforcement, Psychological Monographs, 1966, 80, 1.
• 3. Welcz H.: The Exterior-and Intra-Controilability and Neurotic Symptoms (in Polish). PhD thesis, Medical Academy in Lublin, 2002.
• 4. Kowalczyk T., Pleszczyńska E., Ruland F. (Eds.): Grade Models and Methods for Data Analysis. With Applications for the Analysis of Data Populations. Berlin, Springer Verlag, 2004.
• 5. Pleszczyńska E.: Application of Grade Methods to Medical Data: New Examples, Biocybernetics and Biomedical Engineering, 2007, 27, 3.
• 6. http://gradestat.ipipan.waw.pl/ [Accessed 2009 Jan 10]
• 7. Kowalczyk T. On derivation of maximal Spearman rho and maximal Kendall tau for bivariate distributions, ICS PAS Report No. 1011, 2008.
• 8. Hand D., Mannila H., Smyth P.: Principles of Data Mining, MIT Press, Cambridge, 2001.