Anna Vespa1, Marica Ottaviani2, Andrea Fossati3, Maria Velia Giulietti4, Roberta Spatuzzi5, Cristina Meloni6, Paolo Fabbietti7, Liana Spazzafumo8, Sandor Rozsa9, Robert C Cloninger10. 1. Scientific and Technological Area, Department of Neurology, INRCA-IRCCS National Institute of Health and Science on Aging, Ancona, Italy. Electronic address: a.vespa@inrca.it. 2. Department of Neurology, INRCA-IRCCS National Institute of Health and Science on Aging, via Della Montagnola n. 108, Ancona, Italy. Electronic address: marica_O@libero.it. 3. Dipartimento Scienze Umane (Comunicazione, Formazione, Psicologia), Università Vita e Salute S. Raffaele, Milan, Italy. Electronic address: fossati.andrea@hsr.it. 4. Unity of Neurology, INRCA-National Institute of Health and Science on Aging, via Della Montagnola n. 108, Ancona, Italy. Electronic address: giulietti.mariavelia@libero.it. 5. U.O.C. Hospice/Palliative Care Departments, A.O.R. San Carlo di Potenza, Italy. Electronic address: roberta.spatuzzi@yahoo.com. 6. Department of Research, Mineral Test Sas, Via A. Cecchetti, 7, Civitanova Marche, Macerata, Italy. Electronic address: melcri86@hotmail.it. 7. Biostatistical Center, INRCA-IRCCS, National Institute of Health and Science on Aging, via S. Margherita n. 5, Ancona, Italy. Electronic address: P.fabbietti@inrca.it. 8. Biostatistical Center, INRCA-IRCCS, National Institute of Health and Science on Aging, via S. Margherita n. 5, Ancona, Italy. Electronic address: l.spazzafumo@inrca.it. 9. Department of Personality and Health Psychology, Loránd Eötvös University, Budapest, Hungary. Electronic address: rozsaqqq@freemail.hu. 10. Center for Psychobiology of Personality, Sansone Center for Well-Being, Washington University St. Louis, St. Louis, MO, USA. Electronic address: cr.cloninger44@gmail.com.
Abstract
INTRODUCTION: This study aimed at assessing the reliability and construct validity of the TCI-140. SAMPLE: 428 Italian participants. EXCLUSION CRITERIA: psychiatric disorders. 100 subjects - longitudinal retest study. RESULTS: The results of descriptive statistics of internal consistency reliabilities (Cronbach coefficient) of TCI-R dimensions showed: a strong internal consistence of the scales: HA (α = 0.84); RD (α = 0.70); SD (α = 0.86); C (α = 0.75); ST (α = 0.83); a low level in NS (α = 0.60). In relation to facets, internal consistency reliabilities (Cronbach coefficient) ranged from 0.14 C3 to 0.79 C4 (from 3rd to 4th facet of C scale). Correlations: highest inverse correlation between HA and SD (r = -0.56); moderate inverse correlations for: HA and PS (r = -0.37); C and RD(r = 0.32); C and SD (r = 0.44). P, SD, C and ST showed good inter class correlations (ICC) ≥ 70 maintaining a good stability of the measures over the time. Four factors accounted for 56.3% of the variance for temperament subscale. Subscales of: PS4, PS3 PS2, PS1, NS3 for factor 1; HA2, HA1, HA4, HA3 for factor 2; RD1, RD2 and RD3 for factor 3; NS4, NS1 and NS2 for factor 4. Three factors that were identified accounted for 58.3% of the variance for character subscales of: SD3, SD5, SD1, SD2 for factor 1; C4, C1, C5, SD4, C3 for factor 2; ST2, ST1, ST3, C2 for factor 3. CONCLUSION: The reliability coefficients were significantly good for some dimensions of TCI-140 and showed a good correlation after time, while some dimensions as NS have low reliability. In the principal components analysis does not saturate all dimensions in its theoretical factor. Moreover TCI-140 is a useful inventory for the evaluation of the principal dimensions of temperament and character.
INTRODUCTION: This study aimed at assessing the reliability and construct validity of the TCI-140. SAMPLE: 428 Italian participants. EXCLUSION CRITERIA: psychiatric disorders. 100 subjects - longitudinal retest study. RESULTS: The results of descriptive statistics of internal consistency reliabilities (Cronbach coefficient) of TCI-R dimensions showed: a strong internal consistence of the scales: HA (α = 0.84); RD (α = 0.70); SD (α = 0.86); C (α = 0.75); ST (α = 0.83); a low level in NS (α = 0.60). In relation to facets, internal consistency reliabilities (Cronbach coefficient) ranged from 0.14 C3 to 0.79 C4 (from 3rd to 4th facet of C scale). Correlations: highest inverse correlation between HA and SD (r = -0.56); moderate inverse correlations for: HA and PS (r = -0.37); C and RD(r = 0.32); C and SD (r = 0.44). P, SD, C and ST showed good inter class correlations (ICC) ≥ 70 maintaining a good stability of the measures over the time. Four factors accounted for 56.3% of the variance for temperament subscale. Subscales of: PS4, PS3PS2, PS1, NS3 for factor 1; HA2, HA1, HA4, HA3 for factor 2; RD1, RD2 and RD3 for factor 3; NS4, NS1 and NS2 for factor 4. Three factors that were identified accounted for 58.3% of the variance for character subscales of: SD3, SD5, SD1, SD2 for factor 1; C4, C1, C5, SD4, C3 for factor 2; ST2, ST1, ST3, C2 for factor 3. CONCLUSION: The reliability coefficients were significantly good for some dimensions of TCI-140 and showed a good correlation after time, while some dimensions as NS have low reliability. In the principal components analysis does not saturate all dimensions in its theoretical factor. Moreover TCI-140 is a useful inventory for the evaluation of the principal dimensions of temperament and character.
Authors: Paolo Meneguzzo; Chiara Cazzola; Roberta Castegnaro; Francesca Buscaglia; Enrica Bucci; Anna Pillan; Alice Garolla; Elisa Bonello; Patrizia Todisco Journal: Front Psychol Date: 2021-03-31