A Research Literature Review to Determine How Bereavement Programs Are Evaluated

2019 ◽  
pp. 003022281986949
Author(s):  
Donna M. Wilson ◽  
Begoña Errasti-Ibarrondo ◽  
Andrea Rodríguez-Prat
Keyword(s):  
Program Evaluation ◽  
Data Collection ◽  
Evaluation Method ◽  
Ad Hoc ◽  
Evaluation Methods ◽  
Research Literature ◽  
Program Completion ◽  
Program Evaluations ◽  
Multiple Data ◽  
Depression Scales

A review of all 44 research reports published between 2000 and 2018 on bereavement program evaluation was undertaken to identify evaluation methods and assess their apparent efficacy. Bereavement program evaluations varied considerably, with multiple data collection methods per study common (61.4%) over single methods (38.6%). Among these evaluation methods, a self-devised questionnaire was most often used (59.1%), followed by qualitative interviewing (36.4%), and the use of 1 or more of 35 data collection instruments such as grief inventories or depression scales (40.9%). Evaluative data were usually only collected once (77.3%), typically around program completion. Formal bereavement program evaluation appears to be ad hoc and sporadic, and potentially unlikely to provide the type and quality of information needed to retain, improve, expand, or abandon programs. Evaluation method developments including evaluation standards are needed to ensure recipients and others benefit as expected from bereavement programs.

A review of program evaluations in an Australian independent school: Participants’ perspectives

2014 ◽  
Vol 58 (3) ◽  
pp. 262-277
Author(s):  
Jeanne Maree Allen ◽  
Julie Rimes
Keyword(s):  
Program Evaluation ◽  
Academic Integrity ◽  
Best Practice ◽  
Independent School ◽  
Evaluation Methods ◽  
Questionnaire Data ◽  
School Program ◽  
Program Evaluations ◽  
Documentary Analysis ◽  
Study Participants

This article reports on ways in which one Australian independent school seeks to develop and sustain best practice and academic integrity in its programs through a system of ongoing program evaluation, involving a systematic, cyclical appraisal of the school’s suite of six faculties. A number of different evaluation methods have been and continue to be used, each developed to best suit the particular program under evaluation. In order to gain an understanding of the effectiveness of this process, we conducted a study into participants’ perceptions of the strengths and weaknesses of the four program evaluations undertaken between 2009 and 2011. Drawing on documentary analysis of the evaluation reports and analysis of questionnaire data from the study participants, a number of findings were generated. These findings are provided and discussed, together with suggestions about ways in which the conceptualisation and conduct of school program evaluations might be enhanced.

Risk of Unsuccessful Program Completion for Students with Serious Emotional/Behavioral Disorders: An Epidemiologic Risk Analysis

1996 ◽  
Vol 21 (2) ◽  
pp. 172-189 ◽  
Author(s):  
Deborah T. Carran ◽  
Alan Nemerofsky ◽  
Elana E. Rock ◽  
Marie Kerins
Keyword(s):  
Program Evaluation ◽  
Behavioral Disorders ◽  
Evaluation Method ◽  
Day Treatment ◽  
Program Completion ◽  
Emotional Behavioral Disorders ◽  
Program Outcomes ◽  
Individual Variables ◽  
Epidemiologic Risk ◽  
Epidemiologic Analysis

The purpose of this study was to identify risk factors associated with unsuccessful discharge status of students with serious emotional/behavioral disorders (E/BD) from a secondary-level, therapeutic, day-treatment program. In addition, this article describes and demonstrates the effective use of epidemiologic analysis as a program-evaluation method by comparing risks associated with identified characteristics of the E/BD population to program completion status. Results indicated significant differences in successful program completion related to individual variables, specifically (a) student substance abuse, (b) involvement with juvenile services, and (c) family-living status. Further, we found that additive effects of several variable pairs greatly increased the risk of unsuccessful program outcomes. Implications for E/BD program development and ongoing program evaluation with epidemiologic analysis are discussed.

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

Research and Evaluation of Bionics Shape Design Based on Cases

2014 ◽  
Vol 551 ◽  
pp. 621-625
Author(s):  
Nan Chu Guo
Keyword(s):  
Genetic Algorithm ◽  
Quantitative Methods ◽  
Evaluation Method ◽  
Evaluation Methods ◽  
Shape Design ◽  
Fuzzy Evaluation ◽  
Ideal Approach ◽  
Comprehensive Fuzzy Evaluation

The paper proposes an ideal approach of shape design by using shape evaluation methods accurately. The paper proposes and tests the comprehensive fuzzy evaluation method using a case of two clips based on genetic algorithm and quantitative methods. By using this evaluation method, the shape details of a product could be improved gradually.

Based on the Fuzzy Multi-Objective People Decision Method of Engineering Bidding Evaluation

2013 ◽  
Vol 671-674 ◽  
pp. 3147-3151
Author(s):  
Yun Na Wu ◽  
Chao Liu ◽  
Mandula Naren ◽  
He Ping Wang ◽  
Jian Chen
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Methods ◽  
Actual Case ◽  
Engineering Construction ◽  
Comprehensive Evaluation Method ◽  
Multi Objective ◽  
Bidding Price ◽  
Weight Method ◽  
Conducting Research

The construction project bidding is a feasible method in engineering transactions and the main competition form of the construction activities under the conditions of the market economy. The bid assessment is an important link of bidding, and whether bid evaluation method is scientific or not, is directly related to the success of the tender. In the engineering construction field, at present the current commonly used evaluation methods are the comprehensive evaluation method and the lowest bidding price evaluation method. Based on fuzzy set theory and multi-objective people decision theory, we introduce fuzzy multi-objective people decision-making evaluation methods. And conducting research to put forward the evaluation index and weight method to determine the bidding decision model. Finally we apply it to actual case to make out the more standardized and scientific bidding evaluation method.

Success and failure: a case study of two rural telemedicine projects

2003 ◽  
Vol 9 (3) ◽  
pp. 125-129 ◽  
Author(s):  
Pamela Whitten ◽  
Inez Adams
Keyword(s):  
Data Collection ◽  
Organizational Structure ◽  
Health Organizations ◽  
Telemedicine Application ◽  
Clinical Utilization ◽  
Steady Growth ◽  
Multiple Data ◽  
One Year ◽  
Collection Strategies

We studied two rural telemedicine projects in the state of Michigan: one that enjoyed success and steady growth in activity, and one that experienced frustration and a lack of clinical utilization. Multiple data collection strategies were employed during study periods, which lasted approximately one year. Both projects enjoyed a grassroots approach and had dedicated project coordinators. However, the more successful project benefited from resources and expertise not available to the less successful project. In addition, the more successful project possessed a more formalized organizational structure for the telemedicine application. A comparison of the two projects leads to a simple conclusion. Telemedicine programmes are positioned within larger health organizations and do not operate in a vacuum. It is crucial that the organization in which it is intended to launch telemedicine is examined carefully first. Each organization operates within a larger environment, which is often constrained by fiscal, geographical and personnel factors. All these will affect the introduction of telemedicine.

scholarly journals Cooperative Sensing Data Collection and Distribution with Packet Collision Avoidance in Mobile Long-Thin Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3588 ◽  
Author(s):  
Lien-Wu Chen ◽  
Yu-Hao Peng ◽  
Yu-Chee Tseng ◽  
Ming-Fong Tsai
Keyword(s):  
Data Collection ◽  
Collision Avoidance ◽  
Ad Hoc ◽  
Splitting Method ◽  
Cooperative Sensing ◽  
Sensing Data ◽  
Packet Collision ◽  
Aggregation Scheme ◽  
Hoc Networks ◽  
High Tier

Mobile ad hoc networks (MANETs) have gained a lot of interests in research communities for the infrastructure-less self-organizing nature. A MANET with fleet cyclists using smartphones forms a two-tier mobile long-thin network (MLTN) along a common cycling route, where the high-tier network is composed of 3G/LTE interfaces and the low-tier network is composed of IEEE 802.11 interfaces. The low-tier network may consist of several path-like networks. This work investigates cooperative sensing data collection and distribution with packet collision avoidance in a two-tier MLTN. As numbers of cyclists upload their sensing data and download global fleet information frequently, serious bandwidth and latency problems may result if all members rely on their high-tier interfaces. We designed and analyzed a cooperative framework consisting of a distributed grouping mechanism, a group merging and splitting method, and a sensing data aggregation scheme. Through cooperation between the two tiers, the proposed framework outperforms existing works by significantly reducing the 3G/LTE data transmission and the number of 3G/LTE connections.

scholarly journals A Query Language for Workflow Logs

2022 ◽  
Vol 13 (2) ◽  
pp. 1-28
Author(s):  
Yan Tang ◽  
Weilong Cui ◽  
Jianwen Su
Keyword(s):  
Business Process ◽  
Evaluation Method ◽  
Ad Hoc ◽  
Query Language ◽  
Cost Model ◽  
Formal Semantics ◽  
Control Flow ◽  
Query Evaluation ◽  
Evaluation Algorithm ◽  
Laws And Policies

A business process (workflow) is an assembly of tasks to accomplish a business goal. Real-world workflow models often demanded to change due to new laws and policies, changes in the environment, and so on. To understand the inner workings of a business process to facilitate changes, workflow logs have the potential to enable inspecting, monitoring, diagnosing, analyzing, and improving the design of a complex workflow. Querying workflow logs, however, is still mostly an ad hoc practice by workflow managers. In this article, we focus on the problem of querying workflow log concerning both control flow and dataflow properties. We develop a query language based on “incident patterns” to allow the user to directly query workflow logs instead of having to transform such queries into database operations. We provide the formal semantics and a query evaluation algorithm of our language. By deriving an accurate cost model, we develop an optimization mechanism to accelerate query evaluation. Our experiment results demonstrate the effectiveness of the optimization and achieves up to 50× speedup over an adaption of existing evaluation method.

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