Handheld-assisted field data collection for occupational risk assessment.

A computerized handheld procedure is presented in this paper. It is intended as a database complementary tool, to enhance prospective risk analysis in the field of occupational health. The Pendragon forms software (version 3.2) has been used to implement acquisition procedures on Personal Digital Assistants (PDAs) and to transfer data to a computer in an MS-Access format. The data acquisition strategy proposed relies on the risk assessment method practiced at the Institute of Occupational Health Sciences (IST). It involves the use of a systematic hazard list and semi-quantitative risk assessment scales. A set of 7 modular forms has been developed to cover the basic need of field audits. Despite the minor drawbacks observed, the results obtained so far show that handhelds are adequate to support field risk assessment and follow-up activities. Further improvements must still be made in order to increase the tool effectiveness and field adequacy.

Les sens des cris de personnes âgées vivant avec une démence en centre d’hébergement et de soins de longue durée

Dans les centres d’hébergement et de soins de longue durée (CHSLD), jusqu’à 80 % des personnes admises vivent avec une démence (Conseil des aînés, 2007). Parmi ces personnes âgées, plusieurs crient. Ce comportement a fait l’objet de quelques études, mais ces études ne fournissent pas une compréhension des sens de ces cris qui pourrait orienter le choix d’interventions face à ces personnes et leur entourage. À l’aide de la perspective infirmière de Leininger (2001) et de la théorie de la communication et des interactions à l’intérieur de triades d’Adams et Gardiner (2005), le but de cette étude était de décrire les sens des cris de personnes âgées vivant avec une démence et les facteurs les influençant en tenant compte de la perspective des personnes âgées, de leurs aidants familiaux et de leurs soignants. Pour atteindre ce but, l’ethnographie critique a été choisie comme méthode. L’étude s’est découlée dans un CHSLD au sein duquel sept triades, composées de personnes âgées vivant avec une démence qui crient, d’aidants familiaux principaux et de soignants, ont été recrutées selon un échantillonnage théorique. Diverses méthodes de collecte des données ont été utilisées dont l’observation des personnes âgées et du milieu et des entrevues semi-dirigées auprès des aidants et soignants. L’analyse des données a été effectuée à l’aide des quatre approches proposées par Spradley (1979) soit l’analyse : des domaines, taxonomique, componentielle et thématique. Les résultats ont permis d’identifier des thèmes sur les sens des cris et sur les facteurs influençant ceux-ci. Les cris peuvent avoir pour sens la vulnérabilité, la souffrance et la perte de sens vécues par la personne âgée. Ce comportement peut aussi indiquer diverses finalités, par exemple l’expression d’insatisfactions ou d’émotions. Ces finalités peuvent être distinguées à partir de critères de modulation tels que la prévisibilité des cris ou un faciès émotif. Par ailleurs, divers aspects rendent les sens des cris singuliers. La stabilité et la flexibilité dans la façon d’organiser les soins ainsi que l’effet réciproque entre les personnes âgées qui crient et les autres personnes dans le CHSLD se sont dégagées comme étant des facteurs qui influencent les sens des cris. Il s’est aussi révélé que les cris de chaque personne âgée peuvent être considérés comme un langage unique que les aidants et les soignants sont en mesure d’apprendre et qui influence l’interprétation des sens des cris. L’accompagnement de la personne âgée, en tenant compte de ses volontés, ses besoins et de sa personnalité, les fluctuations dans les relations de pouvoir au sein des triades personnes âgées-aidants-soignants et les sentiments d’impuissance et de culpabilité des aidants et des soignants sont d’autres facteurs qui influencent les cris. Les connaissances découlant de cette étude augmentent la compréhension sur les sens des cris des personnes âgées vivant avec une démence. Elles ont des implications pour les divers champs d’activités des infirmières et qui pourront contribuer à offrir des soins culturellement cohérents et caring pour les personnes âgées vivant avec une démence et leur entourage.

The agreement between ipsative and normative questionnaires using compositional data analysis techniques

The main instrument used in psychological measurement is the self-report questionnaire. One of its major drawbacks however is its susceptibility to response biases. A known strategy to control these biases has been the use of so-called ipsative items. Ipsative items are items that require the respondent to make between-scale comparisons within each item. The selected option determines to which scale the weight of the answer is attributed. Consequently in questionnaires only consisting of ipsative items every respondent is allotted an equal amount, i.e. the total score, that each can distribute differently over the scales. Therefore this type of response format yields data that can be considered compositional from its inception. Methodological oriented psychologists have heavily criticized this type of item format, since the resulting data is also marked by the associated unfavourable statistical properties. Nevertheless, clinicians have kept using these questionnaires to their satisfaction. This investigation therefore aims to evaluate both positions and addresses the similarities and differences between the two data collection methods. The ultimate objective is to formulate a guideline when to use which type of item format. The comparison is based on data obtained with both an ipsative and normative version of three psychological questionnaires, which were administered to 502 first-year students in psychology according to a balanced within-subjects design. Previous research only compared the direct ipsative scale scores with the derived ipsative scale scores. The use of compositional data analysis techniques also enables one to compare derived normative score ratios with direct normative score ratios. The addition of the second comparison not only offers the advantage of a better-balanced research strategy. In principle it also allows for parametric testing in the evaluation

Data collection and analysis

A presentation on the collection and analysis of data taken from SOES 6018. This module aims to ensure that MSc Oceanography, MSc Marine Science, Policy & Law and MSc Marine Resource Management students are equipped with the skills they need to function as professional marine scientists, in addition to / in conjuction with the skills training in other MSc modules. The module covers training in fieldwork techniques, communication & research skills, IT & data analysis and professional development.

A data collection case study supporting requirements oriented prediction and management in software developments

Consider the statement "this project should cost X and has risk of Y". Such statements are used daily in industry as the basis for making decisions. The work reported here is part of a study aimed at providing a rational and pragmatic basis for such statements. Of particular interest are predictions made in the requirements and early phases of projects. A preliminary model has been constructed using Bayesian Belief Networks and in support of this, a programme to collect and study data during the execution of various software development projects commenced in May 2002. The data collection programme is undertaken under the constraints of a commercial industrial regime of multiple concurrent small to medium scale software development projects. Guided by pragmatism, the work is predicated on the use of data that can be collected readily by project managers; including expert judgements, effort, elapsed times and metrics collected within each project.

Nonlinear error dynamics for cycled data assimilation methods

We investigate the error dynamics for cycled data assimilation systems, such that the inverse problem of state determination is solved at tk, k = 1, 2, 3, ..., with a first guess given by the state propagated via a dynamical system model from time tk − 1 to time tk. In particular, for nonlinear dynamical systems that are Lipschitz continuous with respect to their initial states, we provide deterministic estimates for the development of the error ||ek|| := ||x(a)k − x(t)k|| between the estimated state x(a) and the true state x(t) over time. Clearly, observation error of size δ > 0 leads to an estimation error in every assimilation step. These errors can accumulate, if they are not (a) controlled in the reconstruction and (b) damped by the dynamical system under consideration. A data assimilation method is called stable, if the error in the estimate is bounded in time by some constant C. The key task of this work is to provide estimates for the error ||ek||, depending on the size δ of the observation error, the reconstruction operator Rα, the observation operator H and the Lipschitz constants K(1) and K(2) on the lower and higher modes of controlling the damping behaviour of the dynamics. We show that systems can be stabilized by choosing α sufficiently small, but the bound C will then depend on the data error δ in the form c||Rα||δ with some constant c. Since ||Rα|| → ∞ for α → 0, the constant might be large. Numerical examples for this behaviour in the nonlinear case are provided using a (low-dimensional) Lorenz '63 system.

Comparing hybrid data assimilation methods on the Lorenz 1963 model with increasing nonlinearity

We systematically compare the performance of ETKF-4DVAR, 4DVAR-BEN and 4DENVAR with respect to two traditional methods (4DVAR and ETKF) and an ensemble transform Kalman smoother (ETKS) on the Lorenz 1963 model. We specifically investigated this performance with increasing nonlinearity and using a quasi-static variational assimilation algorithm as a comparison. Using the analysis root mean square error (RMSE) as a metric, these methods have been compared considering (1) assimilation window length and observation interval size and (2) ensemble size to investigate the influence of hybrid background error covariance matrices and nonlinearity on the performance of the methods. For short assimilation windows with close to linear dynamics, it has been shown that all hybrid methods show an improvement in RMSE compared to the traditional methods. For long assimilation window lengths in which nonlinear dynamics are substantial, the variational framework can have diffculties fnding the global minimum of the cost function, so we explore a quasi-static variational assimilation (QSVA) framework. Of the hybrid methods, it is seen that under certain parameters, hybrid methods which do not use a climatological background error covariance do not need QSVA to perform accurately. Generally, results show that the ETKS and hybrid methods that do not use a climatological background error covariance matrix with QSVA outperform all other methods due to the full flow dependency of the background error covariance matrix which also allows for the most nonlinearity.

Supporting schools in identifying and safeguarding the needs of disabled children: the challenges for data collection

Conceptualisations of disability that emphasise the contextual and cultural nature of disability and the embodiment of these within a national system of data collection present a number of challenges especially where this process is devolved to schools. The requirement for measures based on contextual and subjective experiences gives rise to particular difficulties in achieving parity in the way data is analysed and reported. This paper presents an account of the testing of a tool intended for use by schools as they collect data from parents to identify children who meet the criteria of disability established in Disability Discrimination Acts (DDAs). Data were validated through interviews with parents and teachers and observations of children and highlighted the pivotal role of the criterion of impact. The findings are set in the context of schools meeting their legal duties to identify disabled children and their support needs in a way that captures the complexity of disabled children’s school lives and provides useful and useable data.

Disability data collection for children's services

Schools need to identify disabled pupils in accordance with their Disability Equality Duty. This research assisted in the development of suitable tools to allow them to identify disabled children in accordance with the definition set out in the Disability Discrimination Act (DDA) by surveying parents and, via the use of purpose-designed activities, the children themselves.