Effective Assessment of AmI Intervention in Traffic Through Quantitative Measures

2013 ◽  
pp. 219-235
Author(s):  
Richard Holzer ◽  
Matthew Fullerton ◽  
Nihan Celikkaya ◽  
Cristina Beltran Ruiz ◽  
Hermann de Meer
Keyword(s):  
Effective Assessment

Effective assessment

2003 ◽  
Author(s):  
Melissa Dittmann
Keyword(s):  
Effective Assessment

Validation to Spanish version of the COVID-19 Stress Scale

2020 ◽  
Author(s):  
Edgar Guillermo Pulido
Keyword(s):  
Mental Health ◽  
Goodness Of Fit ◽  
National Sample ◽  
Mitigation Strategies ◽  
Dimensional Structure ◽  
Psychosocial Effects ◽  
Stress Scale ◽  
Global Consensus ◽  
Reliability Indicators ◽  
Effective Assessment

There is a global consensus about the potential of the COVID-19 pandemic to affect people's mental health. In this context, and prior to the formulation of mitigation strategies, tools are required that allow an objective and effective assessment of mental health risk. The purpose of this study was to evaluate the psychometric characteristics of COVID-19 Stress Scale, formulated by Taylor et al. (2020), based on the concept of COVID-19 Stress Syndrome. A national sample of 1214 participating adults was taken in Colombia, who answered a translated version of the scale. Evidence of a hexa-dimensional structure was obtained whose goodness of fit indicators were Chi2 = 1215,759, Sig. =. 000, CMIN / DF = 2.202, RMSEA = .044, NFI = .943, TLI = .964, CFI =. 968 and FMIN = 1,967. Regarding reliability, an α = .924 and Spearman-Brown = .824 were obtained for the entire scale; the reliability indicators of the 6 subscales were also high. The similarities and differences in the findings with respect to the original psychometric study of the scale are discussed, as well as the utility and importance of the instrument as a tool in future efforts to mitigate the psychosocial effects of the pandemic.

scholarly journals Best Practices in Assessment in Journalism Programs

2020 ◽  
Vol 75 (1) ◽  
pp. 52-57
Author(s):  
Felix Wao ◽  
Angela Romano ◽  
Marie Hardin
Keyword(s):  
Best Practices ◽  
The Other ◽  
Knowledge And Skills ◽  
Effective Assessment

Journalism programs face many challenges today as they work to prepare students with the knowledge and skills to enter the ever-changing journalism industry. On one hand, programs need to determine whether students are learning the competencies their program designers have identified as essential to the field. On the other, students need to demonstrate the mastery of those skills before graduation. One of the best ways to measure these achievements is through the development and implementation of effective assessment processes. Syndicate 8 focused on this process.

The Portuguese Performance Assessment of Self-Care Skills Measure: Validity and Reliability

2021 ◽  
pp. 153944922110213
Author(s):  
Pedro L. Ferreira ◽  
Ana L. Simões ◽  
Marília Dourado ◽  
Margo B. Holm ◽  
Joan C. Rogers
Keyword(s):  
Performance Assessment ◽  
Self Care ◽  
The United States ◽  
Factor Analyses ◽  
Validity And Reliability ◽  
Portuguese Population ◽  
Perfect Agreement ◽  
Portuguese Version ◽  
And Gender ◽  
Effective Assessment

Performance Assessment of Self-Care Skills (PASS) is a performance-based scale developed in the United States. Because of cultural differences, a Portuguese version was developed, then validated in the Portuguese population and tested ensuring reliability. The objective of this study was to create and test psychometric properties of a Portuguese version of PASS. A linguistic validation on older adults with physical/cognitive disabilities enabled us to validate P-PASS. Some original tasks were changed. Data were analyzed by PASS constructs (independence-safety adequacy), age, and gender. Construct validity (known-group analyses, factor analyses), with 98 individuals yielded excellent results. Reliability between two observers for 30 participants yielded almost perfect agreement for all three constructs. Independence scores were highest, followed by safety and adequacy. Men presented greater independence, as well as participants <60 years. We obtained results comparable with the original version. Conclusion. P-PASS is valid and reliable for the Portuguese population, enabling effective assessment of function and measurement of health outcomes.

scholarly journals Multicriteria Ranking for the Efficient and Effective Assessment of Police Departments

2021 ◽  
Vol 13 (8) ◽  
pp. 4251
Author(s):  
Thyago C. C. Nepomuceno ◽  
Cinzia Daraio ◽  
Ana Paula C. S. Costa
Keyword(s):  
Criminal Behavior ◽  
Performance Assessments ◽  
Police Performance ◽  
Police Departments ◽  
Strategic Objectives ◽  
Frontier Analysis ◽  
Promethee Ii ◽  
Effectiveness Analysis ◽  
Efficiency And Effectiveness ◽  
Effective Assessment

The nonparametric assessment of police efficiency and effectiveness is challenging due to the stochastic nature of criminal behavior and the subjective dependence on multiple decision criteria, leading to different prospects depending on the regulation, necessity, or organizational objective. There is a trade-off between sustainable efficiency and effectiveness in many police performance assessments, because many departments can be crime-specialized or cannot reproduce good results effectively on more severe or complex occurrences. This study aims to provide a non-compensatory ranking classification combining Conditional Frontier Analysis with the PROMETHEE II methodology for the multidimensional efficiency and effectiveness analysis of police. The results on Pernambuco (Brazil) Police departments offer interesting perspectives for public administrations concerning prioritizations of units based on the mitigation of resources and strategic objectives.

Effective Assessment of Cognitive Load in Real-World Scenarios using Wrist-worn Sensor Data

2021 ◽  
Author(s):  
Dibyanshu Jaiswal ◽  
Debatri Chatterjee ◽  
Rahul Gavas ◽  
Ramesh Kumar Ramakrishnan ◽  
Arpan Pal
Keyword(s):  
Cognitive Load ◽  
Real World ◽  
Sensor Data ◽  
Effective Assessment

scholarly journals Assessment of the Content of Dry Matter and Dry Organic Matter in Compost with Neural Modelling Methods

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 307
Author(s):  
Dawid Wojcieszak ◽  
Maciej Zaborowicz ◽  
Jacek Przybył ◽  
Piotr Boniecki ◽  
Aleksander Jędruś
Keyword(s):  
Image Analysis ◽  
Organic Matter ◽  
Dry Matter ◽  
Neural Model ◽  
Original Method ◽  
Neural Models ◽  
Test Error ◽  
Effective Assessment ◽  
Modelling Methods

Neural image analysis is commonly used to solve scientific problems of biosystems and mechanical engineering. The method has been applied, for example, to assess the quality of foodstuffs such as fruit and vegetables, cereal grains, and meat. The method can also be used to analyse composting processes. The scientific problem lets us formulate the research hypothesis: it is possible to identify representative traits of the image of composted material that are necessary to create a neural model supporting the process of assessment of the content of dry matter and dry organic matter in composted material. The effect of the research is the identification of selected features of the composted material and the methods of neural image analysis resulted in a new original method enabling effective assessment of the content of dry matter and dry organic matter. The content of dry matter and dry organic matter can be analysed by means of parameters specifying the colour of compost. The best developed neural models for the assessment of the content of dry matter and dry organic matter in compost are: in visible light RBF 19:19-2-1:1 (test error 0.0922) and MLP 14:14-14-11-1:1 (test error 0.1722), in mixed light RBF 30:30-8-1:1 (test error 0.0764) and MLP 7:7-9-7-1:1 (test error 0.1795). The neural models generated for the compost images taken in mixed light had better qualitative characteristics.

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