‘Governing (Through) Rights: Statistics as Technologies of Governmentality’

An increasing amount of attention is being given to the use of human rights measurement indicators in monitoring ‘progress’ in rights and there is consequently a growing focus on statistics and information. This article concentrates on the use of statistics in rights discourse, with reference to the new human rights institution for the European Union: the Fundamental Rights Agency. The article has two main objectives: first, to show that statistics operate as technologies of governmentality – by explaining that statistics both govern rights and govern through rights. Second, the article discusses the implications that this has for rights discourse – rights become a discourse of governmentality, that is a normalizing and regulating discourse. In doing so, the article stresses the importance of critique and questioning new socio-legal methodologies, which involve the collection and dissemination of information and data (statistics), in rights discourse.

NON-GAUSSIAN STATISTICS OF OIL PRICING TIME-SERIES: A CASE STUDY

The stochastic nature of oil price fluctuations is investigated over a twelve-year period, borrowing feedback from an existing database (USA Energy Information Administration database, available online). We evaluate the scaling exponents of the fluctuations by employing different statistical analysis methods, namely rescaled range analysis (R/S), scale windowed variance analysis (SWV) and the generalized Hurst exponent (GH) method. Relying on the scaling exponents obtained, we apply a rescaling procedure to investigate the complex characteristics of the probability density functions (PDFs) dominating oil price fluctuations. It is found that PDFs exhibit scale invariance, and in fact collapse onto a single curve when increments are measured over microscales (typically less than 30 days). The time evolution of the distributions is well fitted by a Levy-type stable distribution. The relevance of a Levy distribution is made plausible by a simple model of nonlinear transfer. Our results also exhibit a degree of multifractality as the PDFs change and converge toward to a Gaussian distribution at the macroscales.

Propensity to Apply for Judicial Office under the new Northern Ireland Judicial Appointments System::A qualitative study for the Northern Ireland Judicial Appointments Commission October

The study of representation and participation in the judiciary is hardly novel. There have been substantial studies in a number of countries – often these have preceded the setting up of judicial appointment commissions – which have looked at the continuing problem of female representation in judicial posts. Prior to the setting up of the Northern Ireland Judicial Appointments Commission a study carried out by Dermot Feenan for the Commissioner for Judicial Appointments for Northern Ireland also looked into this topic and produced a large number of recommendations. What differs from the Feenan project, in this project, has been the number of individuals consulted in interviews and focus groups. This has allowed us to provide a detailed qualitative attitudinal perspective to enhance the questionnaire study undertaken as Stage 1 in this research project. Further, we have carried out this study after many of the recommendations made in previous research have been implemented.
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Our interviews and focus groups covered a broad range of individuals – solicitors outwith and within Belfast (private and public service), barristers in private practice and public service and also barristers no longer in practice. We also sought responses from student lawyers. In total there were 71 respondents, with a typical interview/focus group length of 60 minutes. The group included candidates who had little interest in applying for judicial office, those who might consider this in future, and candidates who had applied for one or more judicial posts and who may or may not consider reapplication. We did not seek the views of successful candidates for judicial posts under the new NIJAC process.
The timing of this project, with interviews and focus groups held between December 2007 and March 2008, offers an early perspective on the whether the creation of a NI Judicial Appointments Commission has affected, and if so, in what way, the decision to apply for a judicial post. Generally, we found that there was a significant impact upon attitudes to judicial application which had arisen from the creation of NIJAC and that this was more positive than negative.

Judicial Rehabilitation and the ‘Clean Bill of Health’ in Criminal Justice.

Drawing on an important survey of European and Australian policies toward ‘judicial rehabilitation,’ this article makes the following arguments. First, the rehabilitation movement should return to the origins of the word ‘rehabilitation’ and focus at least as much on efforts to remove and relieve ex-prisoner stigma as on treatment and reform efforts. There will be no ‘rehabilitation revolution’ without this. Second, these efforts should involve active, not passive redemption. Rehabilitation processes that require almost a decade or more of ‘crime-free’ behaviour before forgiving an individual for his or her crimes are just and fair, but they miss the point of rehabilitation. Policies should encourage, support and facilitate good behaviour and not just reward it in retrospect. Third, rehabilitation should not just be done, but be ‘seen to be done,’ ideally in a ritualised format. This sends an important message to the individual and wider society. Finally, I argue that it may be better to forgive than forget past crimes. That is, rather than burying past crimes as if they never happened, states should instead acknowledge and formally recognise that people can change, that good people can do bad things, and that all individuals should be able to move on from past convictions.

Psychology Statistics for Dummies

The quick, easy way to master all the statistics you'll ever need The bad news first: if you want a psychology degree you'll need to know statistics. Now for the good news: Psychology Statistics For Dummies. Featuring jargon-free explanations, step-by-step instructions and dozens of real-life examples, Psychology Statistics For Dummies makes the knotty world of statistics a lot less baffling. Rather than padding the text with concepts and procedures irrelevant to the task, the authors focus only on the statistics psychology students need to know. As an alternative to typical, lead-heavy statistics texts or supplements to assigned course reading, this is one book psychology students won't want to be without. Ease into statistics – start out with an introduction to how statistics are used by psychologists, including the types of variables they use and how they measure them Get your feet wet – quickly learn the basics of descriptive statistics, such as central tendency and measures of dispersion, along with common ways of graphically depicting information Meet your new best friend – learn the ins and outs of SPSS, the most popular statistics software package among psychology students, including how to input, manipulate and analyse data Analyse this – get up to speed on statistical analysis core concepts, such as probability and inference, hypothesis testing, distributions, Z-scores and effect sizes Correlate that – get the lowdown on common procedures for defining relationships between variables, including linear regressions, associations between categorical data and more Analyse by inference – master key methods in inferential statistics, including techniques for analysing independent groups designs and repeated-measures research designs Open the book and find: Ways to describe statistical data How to use SPSS statistical software Probability theory and statistical inference Descriptive statistics basics How to test hypotheses Correlations and other relationships between variables Core concepts in statistical analysis for psychology Analysing research designs Learn to: Use SPSS to analyse data Master statistical methods and procedures using psychology-based explanations and examples Create better reports Identify key concepts and pass your course