scholarly journals Making measures count: Structured indicator selection to improve program success

2020 ◽  
Vol 8 ◽  
pp. 100077
Author(s):  
Marjorie R. Liberati ◽  
Scott P. Sowa ◽  
Christopher A. May ◽  
Patrick J. Doran
Keyword(s):  
Indicator Selection ◽  
Program Success

Faith-Based Health Education Project

2003 ◽  
Vol 1 (2) ◽  
pp. 208-222 ◽  
Author(s):  
Georgia N. L. Johnston
Keyword(s):  
Faith Communities ◽  
Face To Face ◽  
Staff Members ◽  
Community Ownership ◽  
Faith Based ◽  
Program Success ◽  
Project Sustainability ◽  
Critical Components ◽  
Pastoral Support ◽  
Volunteer Commitment

Working with faith communities in health promotion is widely acclaimed and yet not readily practiced. This article describes a study conducted among four faith communities to determine the process required for sustainable faith-based programs. Face-to-face interviews were conducted among 12 community volunteers who participated to identify their perceptions of the project. Two staff members were also interviewed to identify the process from their perspectives. Project-related documents were also analyzed to provide details and triangulate the data from the interviews. The study followed the project for 2 ½ years. Several factors were identified as significant influences on participation and project sustainability. These included value, active pastoral support, program success, and volunteer commitment. The results of this study indicate that pastoral support and faith community ownership are critical components that should be included in faith-based community building efforts.

scholarly journals Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Yuling Hong ◽  
Qishan Zhang
Keyword(s):  
Deep Learning ◽  
Social Network ◽  
Evaluation Method ◽  
Short Term Memory ◽  
Selection Model ◽  
Learning Technology ◽  
Prevention Measures ◽  
Learning Methods ◽  
Indicator Selection ◽  
The Social

Purpose. The purpose of this article is to predict the topic popularity on the social network accurately. Indicator selection model for a new definition of topic popularity with degree of grey incidence (DGI) is undertook based on an improved analytic hierarchy process (AHP). Design/Methodology/Approach. Through screening the importance of indicators by the deep learning methods such as recurrent neural networks (RNNs), long short-term memory (LSTM), and gated recurrent unit (GRU), a selection model of topic popularity indicators based on AHP is set up. Findings. The results show that when topic popularity is being built quantitatively based on the DGI method and different weights of topic indicators are obtained from the help of AHP, the average accuracy of topic popularity prediction can reach 97.66%. The training speed is higher and the prediction precision is higher. Practical Implications. The method proposed in the paper can be used to calculate the popularity of each hot topic and generate the ranking list of topics’ popularities. Moreover, its future popularity can be predicted by deep learning methods. At the same time, a new application field of deep learning technology has been further discovered and verified. Originality/Value. This can lay a theoretical foundation for the formulation of topic popularity tendency prevention measures on the social network and provide an evaluation method which is consistent with the actual situation.

8. Reading Program Success on In-Training and Certifying Exam Scores

2010 ◽  
Vol 10 (4) ◽  
pp. e7 ◽  
Author(s):  
Ryan S. Bode ◽  
Grace L. Caputo
Keyword(s):  
Reading Program ◽  
Program Success ◽  
Exam Scores

Technology Incentives Program: Success or a Phony Hard Sell?

Science ◽  
1975 ◽  
Vol 189 (4208) ◽  
pp. 1066-1067 ◽  
Author(s):  
P. M. Boffey
Keyword(s):  
Program Success

Determining Program Success: The Importance of Employing Experimental Research Designs

2000 ◽  
Vol 46 (3) ◽  
pp. 425-434 ◽  
Author(s):  
Franklyn W. Dunford
Keyword(s):  
Experimental Research ◽  
San Diego ◽  
Program Success ◽  
Research Designs

Data from the San Diego Navy Experiment are used to illustrate how findings from nonexperimental evaluations of programs designed to treat men who abuse their cohabitant partners may lead to erroneous conclusions.

Effectiveness of Forensic Assertive Community Treatment on Forensic and Health Outcomes: A Systematic Review and Meta-Analysis

2021 ◽  
pp. 009385482110614
Author(s):  
Marie-Hélène Goulet ◽  
Laura Dellazizzo ◽  
Clara Lessard-Deschênes ◽  
Alain Lesage ◽  
Anne G. Crocker ◽  
...  
Keyword(s):  
Systematic Review ◽  
Assertive Community Treatment ◽  
Service Use ◽  
Meta Analysis ◽  
Outpatient Service ◽  
Community Treatment ◽  
Control Groups ◽  
Program Success ◽  
Health Related ◽  
Meta Analyses

Given the increasing literature on forensic assertive community treatment (FACT), we conducted a systematic review and meta-analysis to explore the effectiveness of FACT among justice-involved individuals with severe mental illness. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Sixteen studies were included in the systematic review, six of which were included in the meta-analyses for a total of 1,246 participants. Mixed results regarding health-related outcomes were found. The pre-post FACT analysis and comparison with control groups did not yield significant results other than increased outpatient service use. Results on forensic outcomes were more compelling. Both the narrative review and the meta-analysis highlighted that FACT programs may improve justice outcomes such as the number of days spent in jail. More high quality and multisite randomized controlled trials are needed to consolidate findings. Further research is needed to examine other psychosocial factors related to FACT program success.

scholarly journals STOCK ENHANCEMENT IN INDONESIAN LAKE AND RESERVOIRS FISHERIES

2012 ◽  
Vol 18 (2) ◽  
pp. 91
Author(s):  
Endi Setiadi Kartamihardja
Keyword(s):  
Negative Impact ◽  
Basic Research ◽  
Stock Enhancement ◽  
Fish Stock ◽  
Aquatic Weed ◽  
Fish Production ◽  
Program Success ◽  
Water Surface Area ◽  
Fish Catch ◽  
Lakes And Reservoirs

A total water surface area of lakes and reservoirs of Indonesia is 2.3 million hectares. To increase fish production in Indonesian lakes and reservoirs, fish stock enhancement were practiced. A review on fish stock enhancement in Indonesian lakes and reservoirs was conducted. Some species used in stock enhancement were reviewed, and the causes of program success or failure were analyzed in an attempt to determine the best approach for future stocking. Since 2000 the success of the project on<br />fish stock enhancement were supported by basic research on diet, ecological niche, life cycle and behavior of the species stocked. Recent successes in fish stock enhancement are mainly determined by species which can be reproduced naturally in the water bodies. Nile tilapia (<em>Oreochromis</em> <em>niloticus</em>), Siamese cat fish (<em>Pangasionodon hypophthalmus</em>) and small carp (bilih, <em>Mystacoleucus padangensis</em>), an endemic species are the species have best performances in the increasing fish production<br />significantly. Milk fish (<em>Chanos chanos</em>) stock enhancement can be used to mitigate the negative impact of cage culture in the reservoir. While grass carp (<em>Ctenopharyngodon idellus</em>) has been successful in controlling aquatic weed, Eichhornia crassipes in some lakes. Management of fish stock<br />enhancement including providing quality and quantity of seeds, regulating of fish catch, developin g of market system, institution and fisheries co-management have supported a steady yearly increase in yield. The governments should take the initiative in protection of genetic diversity, especially in stock enhancement of lakes inhabited by endemic and or threatened species, such as lakes in Sulawesi and Papua Island.

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