The present study examines the factorial structure and assesses the psychometric properties of the adapted multidimensional Health-Promoting Lifestyle Profile II Scale, considering a sample of Italian university students who participated to an online survey. The original 52-items Scale showed a high overall internal consistency. Four of the six subscales were associated with good values of the Cronbach’s α coefficient, whereas two subscales had lower values. Hence corrected item-total correlation was calculated and 26 items that decreased the scale’s reliability were deleted. The remaining 26 items were first subjected to Principal Component Analysis that suggested a conceptually meaningful five-factor model. This result was further supported by the first-order confirmatory factor analysis, in which all the factor loadings were statistically significant. The internal consistency and the composite reliability for the reduced version of the Scale and its subscales have shown a good reliability for the measurement models. The multidimensionality of the scale was also confirmed by a second-order factor model.
Italian Psychometric Validation of the Multidimensional Students’ Health-Promoting Lifestyle Profile Scale
Giulia Savarese
Membro del Collaboration Group
;Luna CarpinelliMembro del Collaboration Group
;Pierpaolo CavalloMembro del Collaboration Group
;Maria Prosperina VitaleMembro del Collaboration Group
2018-01-01
Abstract
The present study examines the factorial structure and assesses the psychometric properties of the adapted multidimensional Health-Promoting Lifestyle Profile II Scale, considering a sample of Italian university students who participated to an online survey. The original 52-items Scale showed a high overall internal consistency. Four of the six subscales were associated with good values of the Cronbach’s α coefficient, whereas two subscales had lower values. Hence corrected item-total correlation was calculated and 26 items that decreased the scale’s reliability were deleted. The remaining 26 items were first subjected to Principal Component Analysis that suggested a conceptually meaningful five-factor model. This result was further supported by the first-order confirmatory factor analysis, in which all the factor loadings were statistically significant. The internal consistency and the composite reliability for the reduced version of the Scale and its subscales have shown a good reliability for the measurement models. The multidimensionality of the scale was also confirmed by a second-order factor model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.