| Literature DB >> 25878514 |
Gabriele Giorgi1, Francisco Saverio Fiz Perez1, Andrea Castiello D'Antonio1, Nicola Mucci2, Claudia Ferrero3, Vincenzo Cupelli3, Giulio Arcangeli3.
Abstract
Bank robberies are becoming a serious problem in Italy. This study aims to evaluate the validity and the reliability of the Italian version of Impact of Event Scale (IES)-6. It is also hypothesized that a potential posttraumatic disorder, as measured by the IES-6, is associated with mental health problems and several peritraumatic variables. A database was built from data collected through a survey of victims of robbery in an Italian bank. The final sample comprised 350 employees. This study tests different models of IES, comparing the validity of IES-6 with the 22-item original version (IES-R) and the 15-item Italian version (recently adopted in a sample of flood victims). A confirmatory factor analysis supported the IES-6 three-factor solution as the best model. In addition, the internal consistency of the IES-6 and the subscales was good. Outcomes revealed a robust structure supporting the composition of the IES-6 Italian version.Entities:
Keywords: Impact of Event Scale; bank robbery; employees; peritraumatic; posttraumatic; questionnaire
Year: 2015 PMID: 25878514 PMCID: PMC4388003 DOI: 10.2147/PRBM.S73901
Source DB: PubMed Journal: Psychol Res Behav Manag ISSN: 1179-1578
Confirmatory factor analysis for the IES-R (n=350)
| χ2 | GFI | CFI | RMSEA | AGFI | IFI | RMR | ||
|---|---|---|---|---|---|---|---|---|
| One-factor IES-R-22 | 818 | 209 | 0.81 | 0.87 | 0.09 | 0.77 | 0.87 | 0.09 |
| One-factor IES-R-15 | 306 | 90 | 0.88 | 0.92 | 0.09 | 0.84 | 0.92 | 0.08 |
| One-factor IES-R-6 | 37 | 9 | 0.97 | 0.97 | 0.09 | 0.92 | 0.97 | 0.06 |
| Three-factor IES-R-22 | 658 | 206 | 0.85 | 0.90 | 0.08 | 0.81 | 0.90 | 0.08 |
| Three-factor IES-R-15 | 192 | 87 | 0.93 | 0.96 | 0.06 | 0.91 | 0.96 | 0.06 |
| Three-factor IES-R-6 | 12 | 6 | 0.99 | 0.99 | 0.05 | 0.96 | 0.99 | 0.04 |
Abbreviations: IES-R, Impact of Event Scale – Revised; df, degrees of freedom; GFI, goodness of fit index; CFI, comparative fit index; RMSEA, root mean square error of approximation; AGFI, adjusted goodness of fit index; IFI, incremental fit index; RMR, root mean squared residual.
Figure 1Confirmatory factor analysis for the IES-R (n=350).
Abbreviation: IES-R, Impact of Event Scale – Revised.
Means, standard deviations, alpha, and correlations among variables
| Variables | M | SD | Alpha | Variables
| ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||||
| 1. Arousal IES-6 | 2.7 | 2.3 | 0.78 | – | 0.62 | 0.73 | 0.89 | 0.87 | 0.84 | 0.68 | −0.04 | 0.00 |
| 2. Avoidance IES-6 | 2.6 | 2.2 | 0.69 | – | 0.60 | 0.86 | 0.78 | 0.80 | 0.47 | −0.05 | −0.03 | |
| 3. Intrusion IES-6 | 3.0 | 2.4 | 0.78 | – | 0.74 | 0.85 | 0.86 | 0.57 | −0.08 | −0.02 | ||
| 4. IES-6 total scale | 7.7 | 6.3 | 0.88 | – | 0.94 | 0.93 | 0.67 | −0.06 | −0.03 | |||
| 5. IES-22 total scale | 28.9 | 20.5 | 0.95 | – | 0.99 | 0.70 | −0.07 | −0.05 | ||||
| 6. IES-15 total scale | 19.9 | 14.0 | 0.93 | – | 0.68 | −0.03 | −0.03 | |||||
| 7. GHQ total scale | 11.2 | 5.4 | 0.83 | – | −0.03 | −0.03 | ||||||
| 8. Sex | 1.4 | 0.49 | – | – | −0.30 | |||||||
| 9. Age | 40.8 | 10.1 | – | – | ||||||||
Note:
Correlation is significant at the 0.01 level (two-tailed).
Abbreviations: SD, standard deviation; IES, Impact of Event Scale; GHQ, General Health Questionnaire.