Among non-clinical populations, perceived social support is an important factor in health maintenance and well-being. Among measures that purport to assess perceived social support, the Medical Outcomes Study Social Support Survey (MOS-SSS) is based on a strong conceptual framework and has been subjected to a rigorous psychometric evaluation. Since no studies have investigated its psychometric properties with a young, non-clinical population, the purpose of this study is to investigate the psychometric properties (construct validity, internal consistency, and test-retest reliability) of an Italian version of the MOS-SSS with a non-clinical population sample. A convenience sample of 485 undergraduate students (73.0% female; mean age = 21.81 + 1.52) has been recruited. With regards to scale dimensionality, the best fit measurement model found support for the four subscales proposed by the original version: emotional and informational support, tangible support, positive social interactions, and affectionate support (χ2/df =4,49; CFI =.92; TLI =.91; RMSEA =.08). MOS-SSS subscales showed good internal consistency (Cronbach’s alpha for the subscales ranged from .848 to .939). Significant correlations were found with measures of psychological well-being (Ryff’s Scales of Psychological Well-Being) and depression (Beck-Depression Inventory-II). Test-retest stability was tested by examining a subsample (N = 225) over a 10-week period (correlation coefficients for the subscales ranged from .502 to .579). The findings suggest that MOS-SSS presents good psychometric characteristics with a young general population sample. Therefore, the MOS-SSS seems to be a psychometrically sound measure for the evaluation of perceived social support among young non-clinical populations.

Psychometric properties of the Medical Outcome Study Social Support Survey with a general population sample of undergraduate students / Barbara Giangrasso; Silvia Casale. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - ELETTRONICO. - 116:(2014), pp. 185-197. [10.1007/s11205-013-0277-z]

Psychometric properties of the Medical Outcome Study Social Support Survey with a general population sample of undergraduate students

GIANGRASSO, BARBARA;CASALE, SILVIA
2014

Abstract

Among non-clinical populations, perceived social support is an important factor in health maintenance and well-being. Among measures that purport to assess perceived social support, the Medical Outcomes Study Social Support Survey (MOS-SSS) is based on a strong conceptual framework and has been subjected to a rigorous psychometric evaluation. Since no studies have investigated its psychometric properties with a young, non-clinical population, the purpose of this study is to investigate the psychometric properties (construct validity, internal consistency, and test-retest reliability) of an Italian version of the MOS-SSS with a non-clinical population sample. A convenience sample of 485 undergraduate students (73.0% female; mean age = 21.81 + 1.52) has been recruited. With regards to scale dimensionality, the best fit measurement model found support for the four subscales proposed by the original version: emotional and informational support, tangible support, positive social interactions, and affectionate support (χ2/df =4,49; CFI =.92; TLI =.91; RMSEA =.08). MOS-SSS subscales showed good internal consistency (Cronbach’s alpha for the subscales ranged from .848 to .939). Significant correlations were found with measures of psychological well-being (Ryff’s Scales of Psychological Well-Being) and depression (Beck-Depression Inventory-II). Test-retest stability was tested by examining a subsample (N = 225) over a 10-week period (correlation coefficients for the subscales ranged from .502 to .579). The findings suggest that MOS-SSS presents good psychometric characteristics with a young general population sample. Therefore, the MOS-SSS seems to be a psychometrically sound measure for the evaluation of perceived social support among young non-clinical populations.
2014
116
185
197
Barbara Giangrasso; Silvia Casale
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/793961
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