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There is extensive evidence that decision-makers, faced with increasing information load, may simplify their choice by reducing the amount of information to process. One simplification, commonly referred to as attribute non-attendance (ANA), is a reduction of the number of attributes of the choice alternatives. Several previous studies have identified relationships between varying information load and ANA using self-reported measures of ANA. This chapter revisits this link, motivated by recognition in the literature that such self-reported measures are vulnerable to reporting error.

This chapter employs a recently developed modelling approach that has been shown to effectively infer ANA, the random parameters attribute non-attendance (RPANA) model. The empirical setting systematically varies the information load across respondents, on a number of dimensions.

Confirming earlier findings, ANA is accentuated by an increase in the number of attribute levels, and a decrease in the number of alternatives. Additionally, specific attributes are more likely to not be attended to as the total number of attributes increases. Willingness to pay (WTP) under inferred ANA differs notably from when ANA is self-reported. Additionally accounting for varying information load, when inferring ANA, has little impact on the WTP distribution of those that do attend. However, due to varying rates of non-attendance, the overall WTP distribution varies to a large extent.

This is the first examination of the impact of varying information load on inferred ANA that is identified with the RPANA model. The value lies in the confirmation of earlier findings despite the evolution of methodologies in the interim.

AS J. L. Hobbs shows so clearly in his recent book, the interest in local history is growing enormously at present. The universities, training colleges and schools, as well as the institutions of further education, are all making more use of local studies—geographical, economic, social and historical—in their regular courses, in their advanced work, and in their publications.

The purpose of this paper is to compare quality of life scores in a long-term recovery population group (post five years) with a general population group and to explore how any differences might be explained by recovering individuals themselves in a small number of follow up qualitative interviews.

A sequential explanatory mixed method design combining quantitative quality of life measure (WHOQOL-BREF, 1996) and six subsequent semi-structured individual interviews. The quality of life measure compared long-term recovery scores (post five years) with the general population group. The subsequent qualitative semi-structured interviews explored what the participants themselves said about their recovery.

The quantitative data provide evidence of a significant difference in quality of life (WHOQoL-BREF) in two domains. The long-term recovery group (five or more years into recovery) scored higher in both the environment and psychological domains than the general population group. Of the long-term recovery group, 17 people who still accessed mutual aid scored higher in all four domains than those 23 people who did not. The interviews provide evidence of the this difference as result of growth in psychological elements of recovery, such as developing perspective, improvement in self-esteem, spirituality, as well as contributing as part of wider social involvement.

This study provides support for the quality of life measure as useful in recovery research. The empirical data support the concept of recovery involving improvements in many areas of life and potentially beyond the norm, termed “better than well” (Best and Lubman, 2012; Valentine, 2011; Hibbert and Best, 2011). Limitations: snowballing method of recruitment, and undertaken by public health practitioner. Some suggestions of women and those who attend mutual aid having higher quality of life but sample too small.

Use QoL measure more in recovery research. Public health practitioners and policy makers need to work with partners and agencies to ensure that there is much more work, not just treatment focused, addressing the wider social and environmental context to support individuals recovering from alcohol and drugs over the longer term.

One of small number of studies using with participants who have experienced long-term (post five years) recovery, also use of quality of life measure (WHOQOL-BREF, 1996) with this population.

Despite long-standing evidence that the use of exclusionary discipline practices is both ineffective and even potentially harmful, these policies continue to be used in educational settings across the country. In this chapter, we discuss the problems associated with exclusionary discipline, with an emphasis on zero tolerance approaches. We begin our discussion with a brief history of the origin of zero tolerance policies, a presentation of data that contradict the effectiveness of such policies, and examples of the continued and egregious application of this exclusionary approach. We discuss problems of disproportionality associated with the use of zero tolerance policies, including how this approach exacerbates learning problems for students with and at risk for disabilities, especially if that risk is related to emotional and behavioral disorders (EBD). We conclude by offering alternatives to a zero tolerance approach in the form of positive and preventative approaches for improving student behavior across various levels of intensity within a tiered system of support framework.

Scholars have begun calling for broader conceptualisations of moral disengagement processes that reflect the interaction of dispositional and situational antecedents to a predilection to morally disengage. The authors argue that collective leadership may be one such contingent antecedent. While researching leaders from the Gilded Age of American business history, the authors encountered a compelling historical case that facilitates theory elaboration within these intersecting domains. Interpreting evidence from the embittered leader dyad of Andrew Carnegie and Henry Clay Frick, the authors show how leader egoism can permeate moral identity to promote symbolic moral self-regard and moral licensing, which augment a propensity to morally disengage. The authors use insights developed from our analysis to illustrate a process conceptualisation that reflects a dispositional and situational interaction as a precursor to moral disengagement and explains how collective leadership can function as a moral disengagement trigger/tool to reduce cognitive dissonance and support the cognitive, behavioural, and rhetorical processes utilised to justify unethical behaviour.

The effects of organisational change on a medium secure ward for women with developmental disabilities are examined. Intervention followed the BAITS model (Milne et al, 2003) in focusing on behavioural analysis, intervention, training and support as a way of amalgamating psychological perspectives to address problems and promote positive attitude change. The positive benefits of this programme are described in terms of pre‐ and post‐changes in the perceived work environment, job satisfaction and burn‐out, and levels of disturbed behaviour. The implications of these findings are discussed in terms of promoting positive evidence‐based practices in secure developmental disability services.