Modeling importance assessment processes in non-routine decision problems

Het afwegingsproces moet worden onderscheiden van de uiteindelijke afweging (het belangrijkheidsoordeel ofwel de aan attributen toegekende gewichten). Het afwegingsproces betreft de denkprocessen die leiden tot de gewichten. Zulke processen zijn uiterst relevant voor de bedrijfskunde en voor inzicht in de dagelijkse praktijk van\ud management. Een manager moet bij beslissingen verschillende soorten informatie (technische, financiële) integreren tot een keuze uit alternatieven. Ondanks de multidisciplinaire pretenties van de bedrijfskunde is niet bekend hoe dit gebeurt. De input en output van multidisciplinaire beslissingsprocessen zijn uitgebreid bestudeerd, wat zich afspeelt in het hoofd van de manager bij het integreren van informatie is voor bedrijfskundigen, maar ook voor psychologen, nog grotendeels onbekend. Er is veel bekend over het genereren van alternatieven, het scoren ervan, en over instrumenten om gewichten te achterhalen, maar niet over denkprocessen met betrekking tot het vaststellen van gewichte

Using evidence to improve Psychological Therapies Services

Psychological therapy services offer help to clients with many different sorts of mental health problems using a variety of therapies provided by a range of different professional groups and are supported by a large amount of research evidence. However, applying evidence-based practice in routine clinical settings presents particular challenges. This paper outlines some of the difficulties applying research findings to routine settings and argues for a more inclusive approach to linking evidence with practice. It describes a systematic approach to service evaluation and practice based evidence within a large psychological therapies service. This approach is integrated into the service delivery. It enables clinicians to become engaged in the process of reflecting on evidence in a non-threatening way and allows innovative ways of enhancing reflective practice by linking evidence with practice in routine settings

Metacognitive skills of Malaysian students in non-routine mathematical problem solving

Metacognitive skills play an important role in solving mathematical problems. However, there is a lack of empirical studies on the role of metacognitive skills in solving mathematical problems, particularly non-routine ones. Therefore, this study was undertaken to identify students' metacognitive skills and the impact of such skills on non-routine mathematical problem solving. By using a quantitative method, a total of 304 students in Johor Bahru district were involved in the study. A Self-Monitoring Questionnaire (SMQ) and a mathematical test were used in data collection. Data were analysed using descriptive and inferential statistics such as frequency, percentage, mean, the Mann-Whitney U test, and the Kruskal-Wallis H test. Results showed that the level of the students' performance in solving non-routine mathematical problems was very low. There was also a significant difference in the metacognitive skills among students with different performance levels in solving non-routine mathematical problems, and we concluded that these metacognitive skills should be emphasised in this process

Metacognitive skills of Malaysian students in non-routine mathematical problem solving

Metacognitive skills play an important role in solving mathematical problems.However, there is a lack of empirical studies on the role of metacognitive skills in solving mathematical problems, particularly non-routine ones. Therefore, this study was undertaken to identify students' metacognitive skills and the impact of such skills on non-routine mathematical problem solving. By using a quantitative method, a total of 304 students in Johor Bahru district were involved in the study.A Self-Monitoring Questionnaire (SMQ) and a mathematical test were used in data collection.Data were analysed using descriptive and inferential statistics such as frequency, percentage, mean, the Mann-Whitney U test, and the Kruskal-Wallis H test.Results showed that the level of the students' performance in solving non-routine mathematical problems was very low. There was also a significant difference in the metacognitive skills among students with different performance levels in solving non-routine mathematical problems, and we concluded that these metacognitive skills should be emphasised in this process

Investigating the correlation between the frequency of using metacognitive reading strategies and non-routine problem solving successes in fifth grade students

The aim of this study is to examine the correlation between the frequency of using metacognitive reading strategy use and non-routine problem-solving achievements in fifth grade students. The study was conducted by using the correlational survey model, one of quantitative research methods. The participants of the study consisted of 308 fifth grade students who were studying in public schools in Istanbul and Ankara in 2017-2018 school year and were selected with convenient sampling method. The data of the study were gathered using the form for the frequency of using metacognitive reading strategy by the students and the non-routine problem solving achievement Test. In the study, the form for the frequency of using metacognitive reading strategy was applied in order to determine metacognitive reading strategies of the studies and on the following day, the achievement test including non-routine problems was then applied to the students. Simple Linear Regression Analysis and Pearson Product-Moments Correlation Analysis were used in the analysis of the data obtained in the study. According to the results of the study, there was a positive correlation between the frequency of using metacognitive reading strategy and non-routine problem-solving achievements in fifth grade students and metacognitive reading strategies were a predictor of non-routine problem-solving achievement. © 2018 by authors. All rights reserved

Routine administration of Health Related Quality of Life (HRQoL) and needs assessment instruments to improve psychological outcome: a systematic review

Background. Routine administration of Health Related Quality of Life (HRQoL) and needs assessment instruments has been advocated as part of clinical care to aid the recognition of psychosocial problems, to inform clinical decision making, to monitor therapeutic response and to facilitate patient-doctor communication. However, their adoption is not without cost and the benefit of their use is unclear. Method. A systematic review was conducted. We sought experimental studies that examined the addition of routinely administered measures of HRQoL to care in both psychiatric and non-psychiatric settings. We searched the following databases: MEDLINE, EMBASE, CINAHL, PsycLIT and Cochrane Controlled Trials Register (to 2000). Data were extracted independently and a narrative synthesis of results was presented. Results. Nine randomized and quasi-randomized studies conducted in non-psychiatric settings were found. All the instruments used included an assessment of mental well-being, with specific questions relating to depression and anxiety. The routine feedback of these instruments had little impact on the recognition of mental disorders or on longer term psychosocial functioning. While clinicians welcomed the information these instruments imparted, their results were rarely incorporated into routine clinical decision making. No studies were found that examined the value of routine assessment and feedback of HRQoL or patient needs in specialist psychiatric care settings. Conclusions. Routine HRQoL measurement is a costly exercise and there is no robust evidence to suggest that it is of benefit in improving psychosocial outcomes of patients managed in non-psychiatric settings. Major policy initiatives to increase the routine collection and use of outcome measures in psychiatric settings are unevaluated

A Limited-Feedback Approximation Scheme for Optimal Switching Problems with Execution Delays

We consider a type of optimal switching problems with non-uniform execution delays and ramping. Such problems frequently occur in the operation of economical and engineering systems. We first provide a solution to the problem by applying a probabilistic method. The main contribution is, however, a scheme for approximating the optimal control by limiting the information in the state-feedback. In a numerical example the approximation routine gives a considerable computational performance enhancement, when compared to a conventional algorithm

A Shift Selection Strategy for Parallel Shift-invert Spectrum Slicing in Symmetric Self-consistent Eigenvalue Computation

© 2020 ACM. The central importance of large-scale eigenvalue problems in scientific computation necessitates the development of massively parallel algorithms for their solution. Recent advances in dense numerical linear algebra have enabled the routine treatment of eigenvalue problems with dimensions on the order of hundreds of thousands on the world's largest supercomputers. In cases where dense treatments are not feasible, Krylov subspace methods offer an attractive alternative due to the fact that they do not require storage of the problem matrices. However, demonstration of scalability of either of these classes of eigenvalue algorithms on computing architectures capable of expressing massive parallelism is non-trivial due to communication requirements and serial bottlenecks, respectively. In this work, we introduce the SISLICE method: a parallel shift-invert algorithm for the solution of the symmetric self-consistent field (SCF) eigenvalue problem. The SISLICE method drastically reduces the communication requirement of current parallel shift-invert eigenvalue algorithms through various shift selection and migration techniques based on density of states estimation and k-means clustering, respectively. This work demonstrates the robustness and parallel performance of the SISLICE method on a representative set of SCF eigenvalue problems and outlines research directions that will be explored in future work