Evaluation

Author(s):  
Mary Odell Butler

Evaluation anthropology is an organic synthesis of evaluation and anthropology in which each reinforces the other. Anthropology contributes the theory of culture as a primary mode of human adaptation, ethnography, and a methodology that is sensitive to the context embeddedness of human activity. The evaluation side adds the rigorous science needed to evaluations to be credible to decision makers. These include analyses and conclusions in evidence that can be linked to evidence and to develop a rationale that permits evaluation users to reconstruct the arguments underlying conclusions. Program evaluations are concerned with the value of human interventions in achieving important social goals. They form the evidence base for maintaining, changing, or eliminating programs, decisions that affect communities, careers, finances, and the welfare of both staff and clients. There are special ethical concerns in evaluations because of the risk to program staff providing value information about their agencies and programs. Confidentiality is critical because programs are a “small world” in which opinions and speech mannerisms can permit identification by those who work in the same or similar programs. Thus, evaluators must be cautious about the use of quotes, position descriptions, and attributions to avoid professional damage to program staff and clients. Program evaluation has become an important field for practicing anthropologists. Anthropologists who wish to do evaluations should network with other anthropologists doing evaluations as well as organizations that employ evaluators, read and attend seminars on evaluation theories and methods, and consider adding skills such as network analysis, economics, and decision theory that will add to their value as members of evaluation teams.

Sociologija ◽  
2017 ◽  
Vol 59 (4) ◽  
pp. 452-475 ◽  
Author(s):  
Jelena Pesic

The aim of this paper is to determine the extent to which participants in the Protests against Dictatorship were ready to engage in various forms of collective action over the past three years. In accordance with Pippa Norris? division of the repertoire of actions on those oriented towards the problems of citizens and directed towards decision-makers in the political sphere and repertoires oriented towards the broader social goals, and with corresponding distinction between the traditional and modern agencies of collective actions, we tried to test the hypothesis that participants in the Protests against Dictatorship show a relatively high degree of readiness to engage in both traditional and contemporary forms of collective engagement. In addition, we tried to examine the claim that contemporary repertoires of collective actions will be more strongly represented among the younger population, as well as the thesis that the level of engagement will be in a positive relation with the resources that participants in the protest posses (educational, material, organizational, social, etc.). Finally, we tested the hypothesis that readiness to participate in civic and political actions is growing with a degree of trust in the institutions of representative democracy, but also with an assessment of the importance of a democratic political order. The hypotheses were tested on empirical data obtained through a survey of protest participants conducted during April and May 2017.


Author(s):  
Viktor Elliot ◽  
Mari Paananen ◽  
Miroslaw Staron

We propose an exercise with the purpose of providing a basic understanding of key concepts within AI and extending the understanding of AI beyond mathematics. The exercise allows participants to carry out analysis based on accounting data using visualization tools as well as to develop their own machine learning algorithms that can mimic their decisions. Finally, we also problematize the use of AI in decision-making, with such aspects as biases in data and/or ethical concerns.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Gemma E. Shields ◽  
Jamie Elvidge

AbstractEconomic evaluations help decision-makers faced with tough decisions on how to allocate resources. Systematic reviews of economic evaluations are useful as they allow readers to assess whether interventions have been demonstrated to be cost effective, the uncertainty in the evidence base, and key limitations or gaps in the evidence base. The synthesis of systematic reviews of economic evaluations commonly takes a narrative approach whereas a meta-analysis is common step for reviews of clinical evidence (e.g. effectiveness or adverse event outcomes). As they are common objectives in other reviews, readers may query why a synthesis has not been attempted for economic outcomes. However, a meta-analysis of incremental cost-effectiveness ratios, costs, or health benefits (including quality-adjusted life years) is fraught with issues largely due to heterogeneity across study designs and methods and further practical challenges. Therefore, meta-analysis is rarely feasible or robust. This commentary outlines these issues, supported by examples from the literature, to support researchers and reviewers considering systematic review of economic evidence.


2006 ◽  
Vol 15 (01) ◽  
pp. 11-15
Author(s):  
J. L. Talmon

SummaryTo raise awareness for actions that are urgently needed to accompany the large scale implementations of ICT in Health Care that are currently taking place in many countries around the world.An analysis of a few studies that have recently been described in the literature guided by recent suggestions for research and development of evaluation of health ICT.Six specific recommendations for action are specified:Development of good implementation practice,Development of an experience base of implementation of ICT in health care,Setting up a surveillance system for unintended effects,Build an evidence base of best evaluation practice,Developing guidelines for proper reporting of evaluation studies,Education of clinicians and decision makers.


2019 ◽  
Vol 112 (5) ◽  
pp. 2262-2267 ◽  
Author(s):  
Raja Zalinda Raja Jamil ◽  
Christine Vandervoort ◽  
John C Wise

Abstract Neoseiulus fallacis (Garman) is a predatory mite that is common in apple orchards and distributed throughout North America. However, N. fallacis may be susceptible to pesticides used for the management of crop pests. This study aimed to evaluate the temporal effects of commonly used insecticides on N. fallacis survival. Neoseiulus fallacis adults were exposed to field-aged residues, and mortality and lethal time were measured over 96 h of exposure. Carbaryl caused high mortality to N. fallacis and the shortest lethal time values (LT50), followed by spinetoram, with moderate lethal time values. Esfenvalerate, acetamiprid, chlorantraniliprole, and novaluron showed little to no lethality to N. fallacis following exposure to dry field-aged residues. The results of this study provide important field-relevant knowledge that is often void from laboratory-based studies, which can aid integrated pest management (IPM) decision-makers in apple production systems.


1992 ◽  
Vol 15 (3) ◽  
pp. 266-283 ◽  
Author(s):  
Kyle R. Carter

The author describes an evaluation model for assessing programs for the gifted under non-experimental conditions, which are typical of educational settings, and then presents a sample evaluation to illustrate the application of the model. The model consists of four components: ex post facto designs including intact groups, comparative evaluation, strength of treatment and multiple outcome assessment from flexible data sources. It is based upon three assumptions: 1) meaningful data for program evaluations can be obtained without performing tightly controlled experiments, which are usually impractical for field settings, 2) suitable instrumentation is available or can be constructed to measure student outcomes, and 3) appropriate comparison groups can be obtained in the school setting to provide a test for curricula for the gifted. It is the author's contention that proper use of the model in field settings can provide relevant program evaluation information correlated with program effectiveness. These findings, if properly interpreted, can be helpful to decision makers who make formative and summative decisions about programs for the gifted.


2016 ◽  
Vol 22 (4) ◽  
pp. 222-233 ◽  
Author(s):  
Roger C. M. Ho ◽  
Melvyn W. Zhang

SummaryKetamine, a synthetic derivative of phencyclidine, is a commonly misused party drug that is restricted in high-income countries because of its addictive potential. Ketamine is also used as an anaesthetic in human and veterinary medicine. In the 1990s, research using ketamine to study the pathophysiology of schizophrenia was terminated owing to ethical concerns. Recently, controversy surrounding the drug has returned, as researchers have demonstrated that intravenous ketamine infusion has a rapid antidepressant effect and have therefore proposed ketamine as a novel antidepressant. This article debates the question of ketamine as an antidepressant, considering the drug's addictive potential, ethical concerns about prescribing a hallucinogen, the evidence base and motives behind ketamine trials.


2021 ◽  
Author(s):  
◽  
Vanessa Scholes

<p>Your job application is rejected unseen because you ticked a box admitting you smoke. The employer screened out applicants who ticked the 'smoker' box, because she had read empirical studies that suggest smokers, as a group, are a higher productivity risk than non-smokers. What distinctive ethical concerns inhere in the organisational practice of discriminating against applicants on the basis of group risk statistics? I argue that risk-focussed statistical discrimination is morally undesirable due to the lack of respect for applicants as unique autonomous agents. However, I argue further that the decision-making context affects the morality of this discrimination. Other things being equal, the morality of statistical discrimination varies depending on the purpose of the organisation, the level of detail in the discrimination, and whether the discrimination is transparent to applicants and includes some benefit for applicants. Because organisations may have good reason to use risk-focussed statistical discrimination when assessing applicants, I present some recommendations for decision-makers to mitigate the lack of respect for applicants as individual agents. Organisational decision-makers can focus on the extent to which the statistical data they use comprise i) factors that feature efforts and achievements of the applicant; ii) dynamic rather than static factors; and iii) data drawn from the applicant’s own history and actions over time.</p>


2020 ◽  
Vol 35 (1) ◽  
pp. 3-6 ◽  
Author(s):  
Ivan Turok

India’s capital city Delhi is facing an unprecedented public health crisis that is not receiving sufficient government attention. Rapid urbanisation is part of the challenge. For too long public authorities have neglected the needs of its expanding poor communities for decent and dignified living conditions. Meanwhile, affluent groups benefit from various government privileges that seem difficult to justify. One way of disrupting the inertia is for civil society organisations to engage communities in building a compelling evidence base to hold decision-makers to account and demand social change.


2019 ◽  
Vol 17 (1) ◽  
pp. 51-55 ◽  
Author(s):  
Viktor H. Elliot ◽  
Mari Paananen ◽  
Miroslaw Staron

ABSTRACT We propose an exercise with the purpose of providing a basic understanding of key concepts within AI and extending the understanding of AI beyond mathematics. The exercise allows participants to carry out analysis based on accounting data using visualization tools as well as to develop their own machine learning algorithms that can mimic their decisions. Finally, we also problematize the use of AI in decision-making, with such aspects as biases in data and/or ethical concerns. JEL Classifications: A29; C44; C45; D81; M41.


Sign in / Sign up

Export Citation Format

Share Document