BackgroundThis study aims to verify the main psychometric properties of the Italian version of the Impact of Event Scale – Revised (IES-R) in a sample of flood victims.MethodsThe sample was composed of 262 subjects involved in the natural disaster of 2009 in the city of Messina (Italy). All participants completed the IES-R and the Dissociative Experiences Scale-II (DES-II) in order to verify some aspects of convergent validity.ResultsThe exploratory and confirmatory factor analysis, used to verify the construct validity of the measure, showed a clear factor structure with three independent dimensions: intrusion, avoidance, and hyper-arousal. The goodness-of-fit indices (non-normed fit index [NNFI] = 0.99; comparative fit index [CFI] = 0.99; standardized root mean square residual [SRMR] = 0.04; and root mean square error of approximation [RMSEA] = 0.02) indicated a good adaptation of the model to the data. The IES-R scales showed satisfactory values of internal consistency (intrusion, α = 0.78; avoidance, α = 0.72; hyper-arousal, α = 0.83) and acceptable values of correlation with the DES-II.ConclusionThese results suggest that this self-reported and easily administered instrument for assessing the dimensions of trauma has good psychometric properties and can be adopted usefully, both for research and for practice in Italy.
BackgroundThe Internet Addiction Test (IAT) by Kimberly Young is one of the most utilized diagnostic instruments for Internet addiction. Although many studies have documented psychometric properties of the IAT, consensus on the optimal overall structure of the instrument has yet to emerge since previous analyses yielded markedly different factor analytic results.ObjectiveThe objective of this study was to evaluate the psychometric properties of the Italian version of the IAT, specifically testing the factor structure stability across cultures.MethodsIn order to determine the dimensional structure underlying the questionnaire, both exploratory and confirmatory factor analyses were performed. The reliability of the questionnaire was computed by the Cronbach alpha coefficient.ResultsData analyses were conducted on a sample of 485 college students (32.3%, 157/485 males and 67.7%, 328/485 females) with a mean age of 24.05 years (SD 7.3, range 17-47). Results showed 176/485 (36.3%) participants with IAT score from 40 to 69, revealing excessive Internet use, and 11/485 (1.9%) participants with IAT score from 70 to 100, suggesting significant problems because of Internet use. The IAT Italian version showed good psychometric properties, in terms of internal consistency and factorial validity. Alpha values were satisfactory for both the one-factor solution (Cronbach alpha=.91), and the two-factor solution (Cronbach alpha=.88 and Cronbach alpha=.79). The one-factor solution comprised 20 items, explaining 36.18% of the variance. The two-factor solution, accounting for 42.15% of the variance, showed 11 items loading on Factor 1 (Emotional and Cognitive Preoccupation with the Internet) and 7 items on Factor 2 (Loss of Control and Interference with Daily Life). Goodness-of-fit indexes (NNFI: Non-Normed Fit Index; CFI: Comparative Fit Index; RMSEA: Root Mean Square Error of Approximation; SRMR: Standardized Root Mean Square Residual) from confirmatory factor analyses conducted on a random half subsample of participants (n=243) were satisfactory in both factorial solutions: two-factor model (χ2 132= 354.17, P<.001, χ2/df=2.68, NNFI=.99, CFI=.99, RMSEA=.02 [90% CI 0.000-0.038], and SRMR=.07), and one-factor model (χ2 169=483.79, P<.001, χ2/df=2.86, NNFI=.98, CFI=.99, RMSEA=.02 [90% CI 0.000-0.039], and SRMR=.07).ConclusionsOur study was aimed at determining the most parsimonious and veridical representation of the structure of Internet addiction as measured by the IAT. Based on our findings, support was provided for both single and two-factor models, with slightly strong support for the bidimensionality of the instrument. Given the inconsistency of the factor analytic literature of the IAT, researchers should exercise caution when using the instrument, dividing the scale into factors or subscales. Additional research examining the cross-cultural stability of factor solutions is still needed.
This study aimed to explore the prevalence of post-traumatic distress, alexithymia, dissociation, and addictive behaviors during the stressful situation of the COVID-19 pandemic. It also aimed to determine whether trauma, alexithymia, and dissociation can effectively predict the risk of addiction in non-clinical subjects during the COVID-19 pandemic. Two hundred nineteen subjects completed a web survey during the first COVID-19 lockdown in Italy, including the Impact of Event Scale-Revised (IES-R), the Dissociative Experience Scale-II (DES-II), and the Addictive Behavior Questionnaire (ABQ). Females reported higher levels of COVID-19-related traumatic stress than males (p = 0.009). A greater fear of getting COVID-19 was associated with significantly high IES-R scores (p < 0.0005). IES-R total score was significantly lower in the "not internetaddicted" group than that in the "internet-addicted" group (p < 0.0005). Furthermore, DES-II total score was significantly higher in the "internet-addicted" group than that in the "non internet-addicted" group (p < 0.0005). No statistically significant score differences were highlighted in the "alcohol" group. Future research with longitudinal studies and larger samples will have to clarify whether trauma, alexithymia, and dissociation can effectively predict the risk of addiction in non-clinical subjects during the COVID-19 pandemic.
ObjectiveAlexithymia is a personality construct that inhibits and interferes with normal affect regulating abilities. The purpose of our study was to assess psychometric properties of TAS-20 in younger adolescents.MethodsData were collected from 508 younger adolescents (48.8% male and 51.2% female) with a mean age of 12.56 years (DS=0.50, range: 12-13 years). We administered the following scales: 20-Item-Toronto Alexithymia Scale.ResultsThe confirmatory factor analysis performed on the second random subsample showed reasonable goodness-of-fit for the oblique bi-factorial model: [chi]2 (32, n=254)=54.22; p=0.008; χ2/df=1.69; NNFI=0.92; CFI=0.95; SRMR=0.05; RMSEA=0.05; 90% confidence interval=0.027-0.078.ConclusionBased on the outcomes of our research we support the idea of evaluating adolescents for alexithymia.
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