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The Hazards of Investigating Internet Crimes Against Children: Digital Evidence Handlers’ Experiences with Vicarious Trauma and Coping Behaviors

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Abstract

Over the last two decades there has been a substantive increase in the number of cybercrime and digital forensic units in local and state police agencies across the US. There is, however, little research on the occupational responses of individuals serving in specialized roles within criminal justice agencies. Individuals tasked to these units are likely to encounter psychologically harmful materials on a regular basis due to the number of child pornography and sexual exploitation cases they are assigned. As a result, this study examined the experiences of vicarious trauma and coping behaviors of digital forensic examiners in a sample culled from across the country. The findings suggest that exposure to content involving crimes against children directly and indirectly increases the likelihood of trauma and incidence of coping strategies employed.

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Notes

  1. The proportion of missing cases across the original variables were between 2% and 6%. The summed index variables had a higher proportion of missing because the missing cases in the original data compounded in the index. Because the proportion of missing cases was around 5% we assume they are missing at random. Furthermore, we used Mplus’s FIML imputation algorithm to replace missing cases, but the results were virtually the same. To keep the descriptive sample the same as the model, we did not use imputation.

  2. Even though we used confirmatory factor analysis for the model, some of the items were based on validated indices from the literature. Therefore, following the extant literature, we used the indices rather than create latent factors.

  3. Correlating the error terms for observed variables can be problematic as this can improve model fit base solely on chance (i.e., in another sample, the improvement may not occur). Given these two items were similar, we assume the correlated error accounts a real correlation in measurement error. To confirm this, we tested a measurement model with the images variable removed and the model fit remained the same: chi-square p-value = 0.000; RMSEA = 0.000; CFI = 1.000; and TLI = 1.000).

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Correspondence to Thomas J. Holt.

Appendix

Appendix

Variables for Secondary Trauma Index

Any reminder brought back feelings about it.

I had trouble staying asleep.

Other things kept making me think about it.

I felt irritable and angry.

I avoided letting myself get upset when I thought about it or was reminded of it.

I thought about it when I didn’t mean to.

I felt as if it hadn’t happened or wasn’t real.

I stayed away from reminders about it.

Pictures about it popped into my mind.

I tried not to think about it.

I was aware that I still had feelings but didn’t deal with them.

My feelings about it were kind of numb.

I had waves of strong feelings about it.

I tried to remove it from memory.

I had trouble concentrating.

I was watchful or on guard.

I tried not to talk about it.

All seventeen items were measured on the following scale: (1) not at all; (2) a little bit; (3) moderately; (4) quite a bit; and (4) extremely.

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Burruss, G.W., Holt, T.J. & Wall-Parker, A. The Hazards of Investigating Internet Crimes Against Children: Digital Evidence Handlers’ Experiences with Vicarious Trauma and Coping Behaviors. Am J Crim Just 43, 433–447 (2018). https://doi.org/10.1007/s12103-017-9417-3

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