House building productivity : a study of labour requirements on Scottish house building sites using activity sampling methods

This study is concerned with labour productivity in traditional house building in Scotland. Productivity is a measure of the effective use of resources and provides vital benefits that can be combined in a number of ways. The introduction gives the background to two Scottish house building sites (Blantyre and Greenfield) that were surveyed by the Building Research Establishment (BEE) activity sampling method to provide the data for the study. The study had two main objectives; (1) summary data analysis in average manhours per house between all the houses on the site, and (2) detailed data analysis in average manhours for each house block on the site. The introduction also provides a literature review related to the objectives. The method is outlined in Chapter 2, the sites are discussed in Chapter 3, and Chapter 4 covers the method application on each site and a method development made in the study. The summary data analysis (Chapter 5) compares Blantyre and Greenfield, and two previous BEE surveys in England. The main detailed data analysis consisted of three forms, (Chapters 6, 7 and 8) each applied to a set of operations. The three forms of analysis were variations in average manhours per house for each house block on the site compared with; (1) block construction order, (2) average number of separate visits per house made by operatives to each block to complete an operation, and (3) average number of different operatives per house employed on an operation in each block. Three miscellaneous items of detail data analysis are discussed in Chapter 9. The conclusions to the whole study state that considerable variations in manhours for repeated operations were discovered, that the numbers of visits by operatives to complete operations were large and that the numbers of different operatives employed in some operations were a factor related to productivity. A critique of the activity sampling method suggests that the data produced is reliable in summary form and can give a good context for more detailed data collection. For future work, this could take the form of selected operations, with the context of an activity sampling survey, that wuld be intensively surveyed by other methods.

Quantifying the pathology of neurodegenerative disorders:Quantitative measurements, sampling strategies and data analysis

The use of quantitative methods has become increasingly important in the study of neurodegenerative disease. Disorders such as Alzheimer's disease (AD) are characterized by the formation of discrete, microscopic, pathological lesions which play an important role in pathological diagnosis. This article reviews the advantages and limitations of the different methods of quantifying the abundance of pathological lesions in histological sections, including estimates of density, frequency, coverage, and the use of semiquantitative scores. The major sampling methods by which these quantitative measures can be obtained from histological sections, including plot or quadrat sampling, transect sampling, and point-quarter sampling, are also described. In addition, the data analysis methods commonly used to analyse quantitative data in neuropathology, including analyses of variance (ANOVA) and principal components analysis (PCA), are discussed. These methods are illustrated with reference to particular problems in the pathological diagnosis of AD and dementia with Lewy bodies (DLB).

Quantitative methods in neuropathology

The last decade has seen a considerable increase in the application of quantitative methods in the study of histological sections of brain tissue and especially in the study of neurodegenerative disease. These disorders are characterised by the deposition and aggregation of abnormal or misfolded proteins in the form of extracellular protein deposits such as senile plaques (SP) and intracellular inclusions such as neurofibrillary tangles (NFT). Quantification of brain lesions and studying the relationships between lesions and normal anatomical features of the brain, including neurons, glial cells, and blood vessels, has become an important method of elucidating disease pathogenesis. This review describes methods for quantifying the abundance of a histological feature such as density, frequency, and 'load' and the sampling methods by which quantitative measures can be obtained including plot/quadrat sampling, transect sampling, and the point-quarter method. In addition, methods for determining the spatial pattern of a histological feature, i.e., whether the feature is distributed at random, regularly, or is aggregated into clusters, are described. These methods include the use of the Poisson and binomial distributions, pattern analysis by regression, Fourier analysis, and methods based on mapped point patterns. Finally, the statistical methods available for studying the degree of spatial correlation between pathological lesions and neurons, glial cells, and blood vessels are described.

Quantitative microscopic analysis of histological sections of brain tissue

This article reviews methods for quantifying the abundance of histological features in thin tissue sections of brain such as neurons, glia, blood vessels, and pathological lesions. The sampling methods by which quantitative measures can be obtained are described. In addition, methods are described for determining the spatial pattern of an object and for measuring the degree of spatial correlation between two or more histological features.

Health care professionals' views of paediatric outpatient non-attendance:implications for general practice

Background. Non-attendance at paediatric hospital outpatient appointments poses potential risks to children's health and welfare. Prevention and management of missed appointments depends on the perceptions of clinicians and decision makers from both primary and secondary care, including general practitioners (GPs) who are integral to non-attendance follow-up. Objectives. To examine the views of clinical, managerial and executive health care staff regarding occurrence and management of non-attendance at general paediatric outpatient clinics. Methods. A qualitative study using individual semi-structured interviews was carried out at three English Primary Care Trusts and a nearby children's hospital. Interviews were conducted with 37 staff, including GPs, hospital doctors, other health care professionals, managers, executives and commissioners. Participants were recruited through purposive and 'snowball' sampling methods. Data were analysed following a thematic framework approach. Results. GPs focused on situational difficulties for families, while hospital-based staff emphasized the influence of parents' beliefs on attendance. Managers, executives and commissioners presented a broad overview of both factors, but with less detailed views. All groups discussed sociodemographic factors, with non-attendance thought to be more likely in 'chaotic families'. Hospital interviewees emphasized child protection issues and the need for thorough follow-up of missed appointments. However, GPs were reluctant to interfere with parental responsibilities. Conclusion. Parental motivation and practical and social barriers should be considered. Responsibilities regarding missed appointments are not clear across health care sectors, but GPs are uniquely placed to address non-attendance issues and are central to child safeguarding. Primary care policies and strategies could be introduced to reduce non-attendance and ensure children receive the care they require. © The Author 2013.

Do women earn less even as social entrepreneurs? The gender pay gap among UK social enterprise directors

Based upon unique survey data collected using respondent driven sampling methods, we investigate whether there is a gender pay gap among social entrepreneurs in the UK. We find that women as social entrepreneurs earn 29% less than their male colleagues, above the average UK gender pay gap of 19%. We estimate the adjusted pay gap to be about 23% after controlling for a range of demographic, human capital and job characteristics, as well as personal preferences and values. These differences are hard to explain by discrimination since these CEOs set their own pay. Income may not be the only aim in an entrepreneurial career, so we also look at job satisfaction to proxy for non-monetary returns. We find female social entrepreneurs to be more satisfied with their job as a CEO of a social enterprise than their male counterparts. This result holds even when we control for the salary generated through the social enterprise. Our results extend research in labour economics on the gender pay gap as well as entrepreneurship research on women’s entrepreneurship to the novel context of social enterprise. It provides the first evidence for a “contented female social entrepreneur” paradox.

Sampling and measurement methods for a study of childhood refractive error in a UK population

Background There is a paucity of data describing the prevalence of childhood refractive error in the United Kingdom. The Northern Ireland Childhood Errors of Refraction study, along with its sister study the Aston Eye Study, are the first population-based surveys of children using both random cluster sampling and cycloplegic autorefraction to quantify levels of refractive error in the United Kingdom. Methods Children aged 6–7 years and 12–13 years were recruited from a stratified random sample of primary and post-primary schools, representative of the population of Northern Ireland as a whole. Measurements included assessment of visual acuity, oculomotor balance, ocular biometry and cycloplegic binocular open-field autorefraction. Questionnaires were used to identify putative risk factors for refractive error. Results 399 (57%) of 6–7 years and 669 (60%) of 12–13 years participated. School participation rates did not vary statistically significantly with the size of the school, whether the school is urban or rural, or whether it is in a deprived/non-deprived area. The gender balance, ethnicity and type of schooling of participants are reflective of the Northern Ireland population. Conclusions The study design, sample size and methodology will ensure accurate measures of the prevalence of refractive errors in the target population and will facilitate comparisons with other population-based refractive data.

Adherence to antiepileptic medicines in children:a multiple-methods assessment involving dried blood spot sampling

Purpose - To evaluate adherence to prescribed antiepileptic drugs (AEDs) in children with epilepsy using a combination of adherence-assessment methods. Methods - A total of 100 children with epilepsy (≤17 years old) were recruited. Medication adherence was determined via parental and child self-reporting (≥9 years old), medication refill data from general practitioner (GP) prescribing records, and via AED concentrations in dried blood spot (DBS) samples obtained from children at the clinic and via self- or parental-led sampling in children's own homes. The latter were assessed using population pharmacokinetic modeling. Patients were deemed nonadherent if any of these measures were indicative of nonadherence with the prescribed treatment. In addition, beliefs about medicines, parental confidence in seizure management, and the presence of depressed mood in parents were evaluated to examine their association with nonadherence in the participating children. Key Findings - The overall rate of nonadherence in children with epilepsy was 33%. Logistic regression analysis indicated that children with generalized epilepsy (vs. focal epilepsy) were more likely (odds ratio [OR] 4.7, 95% confidence interval [CI] 1.37–15.81) to be classified as nonadherent as were children whose parents have depressed mood (OR 3.6, 95% CI 1.16–11.41). Significance - This is the first study to apply the novel methodology of determining adherence via AED concentrations in clinic and home DBS samples. The present findings show that the latter, with further development, could be a useful approach to adherence assessment when combined with other measures including parent and child self-reporting. Seizure type and parental depressed mood were strongly predictive of nonadherence.

Encouraging student to reflect on their employment experience

The purpose behind this case study is to share with a wider audience of placement officers, tutors and those who are involved in the management of placement students or employment of graduates, the approach taken to encourage reflective learning in undergraduate placement students at Aston Business School. Reflective learning forms an important foundation of the placement year at Aston Business School, where a professional placement is a mandatory element of the four year degree, for all Home/EU students (optional for International students) who are taking a Single Honours degree (i.e. a fully business programme). The placement year is not compulsory for those students taking a Combined Honours degree (i.e. a degree where two unrelated subjects are studied), although approximately 50% of those students taking an Aston Business School subject opt to take a placement year. Students spend their year out undertaking a ‘proper’ job within a company or public sector organisation. They are normally paid a reasonable salary for their work (in 2004/5 the average advertised salary was £13,700 per annum). The placement year is assessed, carrying credits which amount to a contribution of 10% towards the students’ final degree. The assessment methods used require the students to submit an academic essay relating theory to practice, a factual report about the company which can be of use to future students, and a log book, the latter being the reflective piece of work. Encouragement to reflect on the placement year has always been an important feature of Aston Business School’s approach to learning. More recently, however, feedback from employers indicated that, although our students have excellent employability skills, “they do not think about them” (Aston Business School Advisory Panel, 2001). We, therefore, began some activities which would encourage students to go beyond the mere acquisition of skills and knowledge. This work became the basis of a programme of introductions to reflective learning, mentoring and awareness of different learning styles written up in Higson and Jones (2002). The idea was to get students used to the idea of reflection on their experiences well before they entered the placement year.

Advanced mean field methods:theory and practice

A major problem in modern probabilistic modeling is the huge computational complexity involved in typical calculations with multivariate probability distributions when the number of random variables is large. Because exact computations are infeasible in such cases and Monte Carlo sampling techniques may reach their limits, there is a need for methods that allow for efficient approximate computations. One of the simplest approximations is based on the mean field method, which has a long history in statistical physics. The method is widely used, particularly in the growing field of graphical models. Researchers from disciplines such as statistical physics, computer science, and mathematical statistics are studying ways to improve this and related methods and are exploring novel application areas. Leading approaches include the variational approach, which goes beyond factorizable distributions to achieve systematic improvements; the TAP (Thouless-Anderson-Palmer) approach, which incorporates correlations by including effective reaction terms in the mean field theory; and the more general methods of graphical models. Bringing together ideas and techniques from these diverse disciplines, this book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and demonstrates their application to various areas of probabilistic modeling.

The application of physiological observation methods to emotion research

Purpose - The purpose of this paper is to examine consumer emotions and the social science and observation measures that can be utilised to capture the emotional experiences of consumers. The paper is not setting out to solve the theoretical debate surrounding emotion research, rather to provide an assessment of methodological options available to researchers to aid their investigation into both the structure and content of the consumer emotional experience, acknowledging both the conscious and subconscious elements of that experience. Design/methodology/approach - A review of a wide range of prior research from the fields of marketing, consumer behaviour, psychology and neuroscience are examined to identify the different observation methods available to marketing researchers in the study of consumer emotion. This review also considers the self report measures available to researchers and identifies the main theoretical debates concerning emotion to provide a comprehensive overview of the issues surrounding the capture of emotional responses in a marketing context and to highlight the benefits that observation methods offer this area of research. Findings - This paper evaluates three observation methods and four widely used self report measures of emotion used in a marketing context. Whilst it is recognised that marketers have shown preference for the use of self report measures in prior research, mainly due to ease of implementation, it is posited that the benefits of observation methodology and the wealth of data that can be obtained using such methods can compliment prior research. In addition, the use of observation methods cannot only enhance our understanding of the consumer emotion experience but also enable us to collaborate with researchers from other fields in order to make progress in understanding emotion. Originality/value - This paper brings perspectives and methods together to provide an up to date consideration of emotion research for marketers. In order to generate valuable research in this area there is an identified need for discussion and implementation of the observation techniques available to marketing researchers working in this field. An evaluation of a variety of methods is undertaken as a point to start discussion or consideration of different observation techniques and how they can be utilised.

The training experience of primary care pharmacists

Objectives — To map the tasks, activities and training provision for primary care pharmacists (PCPs) and to identify perceived future training needs. Methods — Survey undertaken in 1998/1999 using a pre-piloted, postal, self-completion questionnaire to two samples of PCPs. Setting — PCPs in (a) the West Midlands and (b) England (outside West Midlands). Key findings — The response rate was 66 per cent. A majority (68 per cent) had worked in the role for less than two years. Eighty per cent had some form of continuing education or training for the role although only 50 per cent had a formal qualification. Over two-thirds had contributed to the funding of their training, with one-third providing all funding. Seventy-four per cent of PCPs agreed that pharmacists should go through a procedure to ensure competence (accreditation) before being allowed to work for a general medical practice or primary care group. Views on the need for formal education/training prior to work differed: 82 per cent of those with formal qualifications, but only 46 per cent of those without, considered that this should be a requirement. There was general agreement that training/education had met training needs. Views on future training closely reflected previous training experiences, with a focus upon pharmaceutical roles rather than upon generic skill development and the acquisition of management skills. Conclusions — The study provides a snapshot in time of the experience of pioneer PCPs and the training available to them. PCPs will need further training or updating if they are to provide the wider roles required by the developing needs of the National Health Service. Consideration should be given to formal recognition of the training of PCPs in order to assure competence. The expectation that pharmacists should fund their own training is likely to be a barrier to uptake of training and uncertainties over funding will militate against consistency of training.

Methods and trends of performance benchmarking in UK utility regulation

Regulation is subject to information asymmetries that can lead to allocative and productive inefficiencies. One solution, suggested by Shleifer in 1985 and now adopted by many regulatory bodies round the world, is 'benchmarking', which is sometimes called 'yardstick competition'. In this paper we consider Shleifer's original approach to benchmarking and contrast this with the actual use of benchmarking by UK regulatory bodies in telecommunications, water and the energy sector since the privatizations of the 1980s and early 1990s. We find that benchmarking plays only one part and sometimes a small part in the setting of regulatory price caps in the UK. We also find that in practice benchmarking has been subject to a number of difficulties, which mean that it is never likely to be more than one tool in the regulator's armoury. The UK's experience provides lessons for regulation internationally. © 2006 Elsevier Ltd. All rights reserved.

Problem structuring methods for large group interventions

Problem structuring methods (PSMs) aim to build shared understanding in a group of decision makers. This shared understanding is used as a basis for them to negotiate an agreed action plan that they are prepared to help implement. Engaging in a social process of negotiation with a large number of people is difficult, and so PSMs have typically focused on small groups of less than 20. This paper explores the legitimacy of deploying PSMs in large groups of people (50–1000), where the aim is to negotiate action and build commitment to its implementation. We review the difficulties of facilitating large groups with PSMs, drawing heavily on our experience of working with over 25 large groups. We offer a range of lessons learned and suggest concrete approaches to facilitating large groups to achieve the objectives of PSMs. This paper contributes to the evaluation and development of PSMs.

A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems

In recent work we have developed a novel variational inference method for partially observed systems governed by stochastic differential equations. In this paper we provide a comparison of the Variational Gaussian Process Smoother with an exact solution computed using a Hybrid Monte Carlo approach to path sampling, applied to a stochastic double well potential model. It is demonstrated that the variational smoother provides us a very accurate estimate of mean path while conditional variance is slightly underestimated. We conclude with some remarks as to the advantages and disadvantages of the variational smoother. © 2008 Springer Science + Business Media LLC.