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Evaluation Measures (evaluation + measure)
Selected AbstractsDefence mechanisms in schizophreniaPERSONALITY AND MENTAL HEALTH, Issue 4 2008Richard J. Shaw Aim,In this study, the aim was to conduct an empirical study of the nature of defence mechanisms in a group of subjects with schizophrenia. Methods,Forty-four clinically stable, medicated subjects with schizophrenia completed the Response Evaluation Measure (REM-71), a self-report measure used to assess defence mechanisms, and were rated with the Brief Psychiatric Rating Scale (BPRS) to assess severity of psychopathology. Responses on the REM-71 were compared with 136 age and gender-matched control subjects. Results,Subjects with schizophrenia were significantly more likely to endorse the use of immature but not mature defence mechanisms when compared with control subjects (p < 0.001). There was no relationship between responses on the REM-71 and the BPRS. Test,retest reliability of the REM-71 was supported by findings that responses by subjects with schizophrenia were unchanged when reassessed after a two-week time interval. Conclusions,Clinically stable subjects with schizophrenia are found to endorse the use of immature defence mechanisms that have been found to have associations with negative outcomes, including in the area of mood, self-efficacy and quality of life. Defence style may be an important mediator of psychosocial outcomes, and knowledge of specific defence patterns may have important clinical implications for both prognosis and treatment. Copyright © 2008 John Wiley & Sons, Ltd. [source] The Youth Crime Reduction Video Project: An Evaluation of a Pilot Intervention Targeting Young People at Risk of Crime and School ExclusionTHE HOWARD JOURNAL OF CRIMINAL JUSTICE, Issue 3 2006LAURA BOWEY Evaluation measures were obtained for eleven young people who participated in the intervention, which ran for six consecutive days, including an outward bound weekend. Pre- and post-test assessments show improvements in self-esteem and attitudes to crime, the police, school and education, following participation. These observed improvements are supported by the qualitative findings. However, follow-up six months later indicates that only the enhanced self-esteem was sustained over time. It is acknowledged that the findings are limited by the small-scale nature of the intervention and evaluation; nevertheless, aspects of the intervention may usefully form part of a broader intervention strategy. [source] The effect of sample size and species characteristics on performance of different species distribution modeling methodsECOGRAPHY, Issue 5 2006Pilar A. Hernandez Species distribution models should provide conservation practioners with estimates of the spatial distributions of species requiring attention. These species are often rare and have limited known occurrences, posing challenges for creating accurate species distribution models. We tested four modeling methods (Bioclim, Domain, GARP, and Maxent) across 18 species with different levels of ecological specialization using six different sample size treatments and three different evaluation measures. Our assessment revealed that Maxent was the most capable of the four modeling methods in producing useful results with sample sizes as small as 5, 10 and 25 occurrences. The other methods compensated reasonably well (Domain and GARP) to poorly (Bioclim) when presented with datasets of small sample sizes. We show that multiple evaluation measures are necessary to determine accuracy of models produced with presence-only data. Further, we found that accuracy of models is greater for species with small geographic ranges and limited environmental tolerance, ecological characteristics of many rare species. Our results indicate that reasonable models can be made for some rare species, a result that should encourage conservationists to add distribution modeling to their toolbox. [source] Teaching Communications and Professionalism through Writing and Humanities: Reflections of Ten Years of ExperienceACADEMIC EMERGENCY MEDICINE, Issue 11 2002David P. Sklar MD Both professionalism and interpersonal communication are core competencies for emergency medicine residents as well as residents from other specialties. The authors describe a weekly, small-group seminar lasting one year for emergency medicine residents that incorporates didactic materials, case studies, narrative expression (stories and poems), and small-group discussion. Examples of cases and narrative expressions are provided and a rationale for utilizing the format is explained. A theoretical model for evaluation measures is also included. [source] Scaling and Testing Multiplicative Combinations in the Expectancy,Value Model of AttitudesJOURNAL OF APPLIED SOCIAL PSYCHOLOGY, Issue 9 2008Icek Ajzen This article examines the multiplicative combination of belief strength by outcome evaluation in the expectancy,value model of attitudes. Because linear transformation of a belief strength measure results in a nonlinear transformation of its product with outcome evaluation, use of unipolar or bipolar scoring must be empirically justified. Also, the claim that the Belief × Evaluation product fails to explain significant variance in attitudes is found to be baseless. In regression analyses, the main effect of belief strength takes account of the outcome's valence, and the main effect of outcome evaluation incorporates the outcome's perceived likelihood. Simulated data showed that multiplication adds substantially to the prediction of attitudes only when belief and evaluation measures cover the full range of potential scores. [source] Forecasting volatility with support vector machine-based GARCH modelJOURNAL OF FORECASTING, Issue 4 2010Shiyi Chen Abstract Recently, support vector machine (SVM), a novel artificial neural network (ANN), has been successfully used for financial forecasting. This paper deals with the application of SVM in volatility forecasting under the GARCH framework, the performance of which is compared with simple moving average, standard GARCH, nonlinear EGARCH and traditional ANN-GARCH models by using two evaluation measures and robust Diebold,Mariano tests. The real data used in this study are daily GBP exchange rates and NYSE composite index. Empirical results from both simulation and real data reveal that, under a recursive forecasting scheme, SVM-GARCH models significantly outperform the competing models in most situations of one-period-ahead volatility forecasting, which confirms the theoretical advantage of SVM. The standard GARCH model also performs well in the case of normality and large sample size, while EGARCH model is good at forecasting volatility under the high skewed distribution. The sensitivity analysis to choose SVM parameters and cross-validation to determine the stopping point of the recurrent SVM procedure are also examined in this study. Copyright © 2009 John Wiley & Sons, Ltd. [source] COMPARISON OF PROCESS-BASED AND ARTIFICIAL NEURAL NETWORK APPROACHES FOR STREAMFLOW MODELING IN AN AGRICULTURAL WATERSHED,JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, Issue 3 2006Puneet Srivastava ABSTRACT: The performance of the Soil and Water Assessment Tool (SWAT) and artificial neural network (ANN) models in simulating hydrologic response was assessed in an agricultural watershed in southeastern Pennsylvania. All of the performance evaluation measures including Nash-Sutcliffe coefficient of efficiency (E) and coefficient of determination (R2) suggest that the ANN monthly predictions were closer to the observed flows than the monthly predictions from the SWAT model. More specifically, monthly streamflow E and R2 were 0.54 and 0.57, respectively, for the SWAT model calibration period, and 0.71 and 0.75, respectively, for the ANN model training period. For the validation period, these values were ,0.17 and 0.34 for the SWAT and 0.43 and 0.45 for the ANN model. SWAT model performance was affected by snowmelt events during winter months and by the model's inability to adequately simulate base flows. Even though this and other studies using ANN models suggest that these models provide a viable alternative approach for hydrologic and water quality modeling, ANN models in their current form are not spatially distributed watershed modeling systems. However, considering the promising performance of the simple ANN model, this study suggests that the ANN approach warrants further development to explicitly address the spatial distribution of hydrologic/water quality processes within watersheds. [source] | ||||||||||