Related Experiment Video
Updated: Feb 15, 2026

Method of Isolated Ex Vivo Lung Perfusion in a Rat Model: Lessons Learned from Developing a Rat EVLP Program
Published on: February 25, 2015
Lessons in Program Evaluation: The ACTV Batterer Program Study and Its Claims
Edward W Gondolf1, Larry Bennett2, Eric Mankowski3
11 Indiana University of Pennsylvania, Indiana, PA, USA.
Abstract:
The "Evaluation of the Acceptance and Commitment Therapy (ACT) curriculum for domestic violence offenders" illustrates the methodological issues associated with interpreting program evaluations and applying them to policy. Despite the "preliminary" evidence, the authors promote ACTV as more effective in terms of recidivism compared with DU/CBT (cognitive-behavioral therapy) programming. A more critical consideration of the research, however, exposes further limitations that counter the initial speculations and interpretations of the study outcome. Consequently, the effectiveness of ACTV over the DU/CBT option remains in question and raises the need for a broader discourse on program effectiveness.
Related Concept Videos
Modified-Release Drug Delivery Systems: Rate-Programmed II
Modified-Release Drug Delivery Systems: Rate-Programmed I
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...

