Sexual murderers' implicit theories

Interviews with 28 sexual murderers were subjected to grounded theory analysis. Five implicit theories (ITs) were identified: dangerous world, male sex drive is uncontrollable, entitlement, women as sexual objects, and women as unknowable. These ITs were found to be identical to those identified in the literature as being present in rapists. The presence of dangerous world and male sex drive is uncontrollable were present, or absent, such that three groups could be identified: (a) dangerous world plus male sex drive is uncontrollable; (b) dangerous world, in the absence of male sex drive is uncontrollable; (c) male sex drive is uncontrollable in the absence of dangerous world. These three groups were found to differ in motivation: (a) were motivated by urges to rape and murder; (b) were motivated by grievance, resentment and/or anger toward women; (c) were motivated to sexually offend but were prepared to kill to avoid detection, or secure compliance.     

How Smart Is my Dummy? Time Series Tests for the Influence of Politics

Kevin Grier Department of Economics, 335 Hester Hall, University of Oklahoma, Norman, OK 73019 e-mail: angus{at}ou.edu Of necessity, many tests for political influence on policiesor outcomes involve the use of dummy variables. However, itis often the case that the hypothesis against which the politicaldummies are tested is the null hypothesis that the interceptis otherwise constant throughout the sample. This simple nullcan cause inference problems if there are (nonpolitical) interceptshifts in the data and the political dummies are correlatedwith these unmodeled shifts. Here we present a method for morerigorously testing the significance of political dummy variablesin single equation models estimated with time series data. Ourmethod is based on recent work on detecting multiple regimeshifts by Bai and Perron. The article illustrates the potentialproblem caused by an overly simple null hypothesis, expositsthe Bai and Perron model, gives a proposed methodology for testingthe significance of political dummy variables, and illustratesthe method with two examples.

Before the curse of statisticsfell upon mankind we lived a happy, innocent life —HilaireBelloc, On Statistics

     

Framing participation

Major efforts have been made bydevelopment organisations tomake their systems ofproject and programme management more participatory, in order to be accountable to local participants (or beneficiaries), while also creating opportunities for them to shape their own processes. These measures may look participatory, but have in effect become new (and often costly) forms of management and control, which do not result in great benefits for project participants. The authors argue that the dominance of three components- projects, professionals, and organisations-has beentaken for granted; andthat theyinvolve practices and processes which are primarily instruments of control, rather than of participation. Attempts to generate participation will thus require a fundamental change in the way in which these components operate. Inthe meantime, the authors call for attentiontobe paidtothe ways inwhichthe current tools of participatory development, including PRA, can be used to promote either participation or control, depending on how they are used.