Surveillance, privacy and security are of paramount concern to technology users. One of the implications of these new forms of technologized surveillance that has received little attention is their implications for women fleeing violent situations. This article seeks to place questions of surveillance technologies into a theoretical framework that foregrounds the challenges that new surveillance technologies pose to anti-violence movements. Specifically we address the impact of surveillance technologies in the practice of violence and some proposed solutions, and consider the ways that surveillance technologies are used disproportionately in the criminalization of marginalized groups. By placing violence against women at the centre of our analysis we aim to complicate concerns related to surveillance technologies.
Reliability generalization studies have provided estimates of the mean reliability coefficients and examined factors that explain the variability in the reliability estimates across studies for many different tests and measures. Different authors have used different data analyses to do such meta-analyses, and little research has addressed whether some methods are more accurate than others. Three methods of meta-analysis for reliability data were compared using Monte Carlo techniques. The meta-analytic methods were those described by Hedges and Vevea, Hunter and Schmidt, and Vacha-Haase. The results suggested that a combination of methods worked best and that Hunter and Schmidt's method should be used to estimate the mean and random-effect variance component, but weighted regression should be used to model continuous moderators.
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