Legitimacy and the Role of UK Third Sector Organizations in the Policy Process

This paper explores the legitimacy of third sector organizations in the policy process in the United Kingdom. It draws on empirical research to examine how legitimacy is defined, both by third sector organizations and by those they target within government. The paper argues that while many third sector organizations give high priority to political forms of legitimacy—in the sense of participatory structures and accountability to members and beneficiaries—government is generally more likely to give priority to technical forms of legitimacy, e.g., the quality of research and the ability to implement policy. Nonetheless, political legitimacy is still important, first because this is the form of legitimacy that third sector organizations claim for themselves and second because, as government gives way to governance with an increase in partnerships and collaboration, the dilemmas faced by third sector organizations in achieving political legitimacy are being faced on a broader canvas.     

Debt and Financial Expectations: An Individual- and Household-Level Analysis

In this article we show that optimistic financial expectations impact positively on both the quantity of debt and the growth in debt at the individual and household levels. Our theoretical model shows that this association is predicted under a variety of plausible scenarios. In the empirical analysis we explore the determinants of debt and of growth in debt using British data. We find convincing support for our theoretical priors and show that it is optimistic financial expectations per se that are important in influencing debt, rather than the accuracy of individuals' predictions regarding their future financial situation.     

Let the Citizens Map—Public Participation GIS as a Planning Support System in the Helsinki Master Plan Process

Current public participation methods are laborious, reach few participants and are ineffective at gathering usable information for planning. This situation leads often to mistrust and dissatisfaction in the process and outcome. This article identifies the critical conditions for meaningful use of public participation GIS (PPGIS) tools to support the making of master plan in Helsinki. With PPGIS tools, residents’ insight of their living environment can be reached and utilized along the planning process. The results are divided to conceptual and empirical points. Whereas the conceptual points emphasize better understanding of the locus of the PPGIS tools in planning process, the empirical findings reveal new ways to study how residents’ perceptions align with the plan proposal. Though new tools, data and analysis can support representativeness, independence, early involvement, influence and transparency, planners and residents need more understanding of the benefits of these tools. The study indicates that though planners found the collected data and the analysis valuable, they still lacked the skills and institutional motivation to use the data effectively. The results point out that when PPGIS tools can be integrated to the mainstream planning practices, the tools have the ability to evolve to a more comprehensive participatory planning support system.     

Active parental consent in school-based research: how much is enough and how do we get it?

Active parental consent policies have been blamed for low participation rates and selection bias (i.e., loss of "high-risk" youths) in school-based studies. In this article, the authors describe active consent procedures that produced an overall active consent rate of 79% in a sample of more than 4,500 middle school students attending 29 schools in seven cities across the United States. Consent rates, however, varied considerably both within and between schools. To better understand factors associated with active parental consent rates, the authors examined district-level, school-level, and teacher-specific effects on consent rates.     

International collaborative ventures between higher education institutions: a British–Russian case study

The starting point for our research is a model of developmental space designed by Coenders. Developmental space in this model is a social space arising from interaction between people. Coenders states that this developmental space is conditional for the probability of success for groups working on innovation. This model is relevant and useful because it is increasingly common for groups in organizations to work on innovation. Human Resource Development (HRD) professionals, involved in organizational development, often facilitate these groups as a process consultant. The model of Coenders is not complete yet, and for analysing and influencing the developmental space, the model is too complex. In a developmental research, we refine and adjust the model of the developmental space. The goal of our study is to develop a model of the developmental space as a starting point for groups and HRD professionals to analyse and influence that space.     

Climate Change Beliefs and Perceptions of Weather‐Related Changes in the United Kingdom

Public perception research in different countries has suggested that real and perceived periods of high temperature strengthen people's climate change beliefs. Such findings raise questions about the climate change beliefs of people in regions with moderate climates. Relatively little is known about whether public concerns about climate change may also be associated with perceived changes in other weather‐related events, such as precipitation or flooding. We examine the relationship between perceived changes in weather‐related events and climate change beliefs among U.K. residents at a time of below‐average winter temperatures and recent flooding. National survey data (n = 1,848) revealed that heat waves and hot summers were perceived to have become less common during respondents’ lifetimes, while flooding, periods of heavy rainfall, coastal erosions, and mild winters were perceived to have increased in frequency and cold winters were perceived to be unchanged. Although perceived changes in hot‐weather‐related events were positively associated with climate change beliefs, perceived changes in wet‐weather‐related events were found to be an even stronger predictor. Self‐reported experience of “flooding in own area” and “heat‐wave discomfort” also significantly contributed to climate change beliefs. These findings highlight the importance of salient weather‐related events and experiences in the formation of beliefs about climate change. We link our findings to research in judgment and decision making, and propose that those wishing to engage with the public on the issue of climate change should not limit their focus to heat.     

Properties of maximum likelihood estimates of the ratio of parameters in ordinal response regression models

The properties of a method of estimating the ratio of parameters for ordered categorical response regression models are discussed. If the link function relating the response variable to the linear combination of covariates is unknown then it is only possible to estimate the ratio of regression parameters. This ratio of parameters has a substitutability or relative importance interpretation.

The maximum likelihood estimate of the ratio of parameters, assuming a logistic function (McCullagh, 1980), is found to have very small bias for a wide variety of true link functions. Further it is shown using Monte Carlo simulations that this maximum likelihood estimate, has good coverage properties, even if the link function is incorrectly specified. It is demonstrated that combining adjacent categories to make the response binary can result in an analysis which is appreciably less efficient. The size of the efficiency loss on, among other factors, the marginal distribution in the ordered categories     

The contribution of measurement and information infrastructure to TQM success

There is currently some debate about which TQM practices contribute most to superior performance outcomes. Several proponents argue that softer TQM practices such as leadership, human resource management, and customer focus have more impact than benchmarking, process analysis or performance measurement. The evidence for which TQM factors contribute most to improved performance is not yet conclusive, and sometimes contradictory. Using data from a longitudinal study of 67 TQM firms we contribute to this debate. Our central hypothesis is that measurement of key TQM practices and performance outcomes is essential for TQM success. We examine the measurement practices of this cohort of firms, and report on the changes in their measurement behavior over time. Specifically, we analyze seven dimensions of measurement relating to customer satisfaction, employee satisfaction, process performance, impact of TQM on costs, impact of TQM on sales, self-assessment, and benchmarking. We calculate a measurement-intensity score for each firm, based on how many of these seven parameters were being measured, and we show that increased measurement intensity is strongly associated with perceived TQM success. Finally, using multivariate discriminant analysis, we identify eight variables that explain the level of TQM success with a classification accuracy of almost 90%. We conclude that to attain the highest levels of TQM success, firms need to engage in the measurement practices of self-assessment and benchmarking, but our data suggest that an appropriate measurement framework needs to be in place beforehand.     

Advances towards a critical criminology

Theory and Society -