Treatment programs for sexual offenders have been implemented in prison settings with the objective of reducing recidivism among released offenders. Reviews of the literature evaluating the efficacy of treatment have not found convincing evidence that institutional treatment reduces recidivism. However, these reviews have been most concerned with the possibility of a Type I error in hypothesis testing: specifically, that we might reject the null hypothesis when it is true, concluding that recidivism among treated offenders has been reduced compared with that of untreated offenders and concluding that treatment is effective when it is not. The present paper explores the risks of Type II error by examining the sensitivity of recidivism studies to treatment effects and the power of statistical tests of treatment hypotheses in recidivism studies. Using a series of “what if” analyses and power calculations, the sensitivity of statistical hypothesis testing was explored in recidivism studies under a variety ofN's, base rates, and treatment effects. The size of treatment effects required for significance at thep<.05 level at variousN's and base rates was calculated and theN required to obtain significance at thep<.05 level in the “average” recidivism study was estimated. This paper examines the sensitivity of statistical hypothesis testing in three of the most oft-cited recidivism studies of institutional sexual offender treatment. Recidivism studies were found to be quite insensitive to the effects of treatment and these findings are discussed with respect to the likelihood of a Type II error. Alternative methods of assessing sexual offender treatment efficacy are described and recommended.
Sexual Abuse: A Journal of Research and Treatment – Springer Journals
Published: Jul 12, 2007
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera