Literacy/Numeracy Provision and its Effectiveness in Psychiatric Hospitals

1988 ◽  
Vol 51 (11) ◽  
pp. 395-396
Author(s):  
A M Borikar ◽  
J M Bumstead
Keyword(s):  
Psychiatric Hospitals ◽  
Small Sample ◽  
Occupational Therapist ◽  
Sample Survey ◽  
Numeracy Skills ◽  
Available Resources

For many years the occupational therapist has been involved in dealing with the lack of literacy/numeracy skills of psychiatrically ill people. With the growing emphasis on ‘back to the community’, this is a much needed service in psychiatric hospitals. This article attempts to assess, with its small sample survey, the provision of such a service in psychiatric hospitals and its effectiveness. The survey findings reveal that there is a huge gap in the available resources. The authors suggest possible ways that improvement can be achieved.

Use of Collaborative Technologies for Knowledge Management in Psychiatric Hospitals in Southwest Nigeria

Mousaion ◽  
2019 ◽  
Vol 37 (3) ◽  
Author(s):  
Oluyemi Folorunso Ayanbode ◽  
Williams Ezinwa Nwagwu
Keyword(s):  
Knowledge Management ◽  
Psychiatric Hospitals ◽  
Task Interdependence ◽  
Sample Survey ◽  
Team Members ◽  
Collaborative Technologies ◽  
Southwest Nigeria ◽  
Transfer And Retention ◽  
Retention Of Knowledge ◽  
Therapy Team

This article concerns the study examining the use of collaborative technologies (CTs) for the acquisition, creation, sharing, transfer, and retention of knowledge by therapy team members (TTMs) in psychiatric hospitals, and the determinants of the use of CTs as well as how they relate to knowledge management (KM) practices. The skills of the TTMs in the use of CTs were also investigated. Carried out within the positivist and constructivist paradigms, a sample survey was conducted among TTMs from two purposively selected psychiatric hospitals in Southwest Nigeria. Quantitative data was collected from self-administered questionnaires completed by 283 TTMs and was analysed using the Statistical Package for Social Sciences (SPSS) 22. Qualitative data was collected from interviews conducted with four heads of departments. The study showed that the TTMs in the relevant hospitals used 26 different CTs for knowledge acquisition, creation, sharing, transfer, and retention. The largest proportion (84.5%) of the respondents confirmed that skill in the use of CTs determined the use of CTs for KM practices. More than half (54.3%) of the TTMs were highly skilled in the use of CTs for KM practices. The findings suggested that the respondents were positively inclined towards the use of CTs and that they were involved in the use of various CTs to facilitate KM practices and processes. It was found that task interdependence was characteristic of the TTMs’ work in the selected psychiatric hospitals, and that, to benefit from the potential advantages of task interdependence and to effectively employ CTs in operations and processes, TTMs’ skills in the use of CTs should be developed. In addition, professional ties among experts in different fields of specialisation should be encouraged.

The Impact of Green Labels on U.S. Hotel Net Operating Income: Operating Statements Analyses

2019 ◽  
Vol 11 (1) ◽  
pp. 156-173
Author(s):  
Spenser Robinson ◽  
A.J. Singh
Keyword(s):  
Environmental Design ◽  
Green Buildings ◽  
Small Sample ◽  
Sample Survey ◽  
Data Set ◽  
Operating Income ◽  
Energy Star ◽  
The Impact ◽  
Industry Professionals

This paper shows Leadership in Energy and Environmental Design (LEED) certified hospitality properties exhibit increased expenses and earn lower net operating income (NOI) than non-certified buildings. ENERGY STAR certified properties demonstrate lower overall expenses than non-certified buildings with statistically neutral NOI effects. Using a custom sample of all green buildings and their competitive data set as of 2013 provided by Smith Travel Research (STR), the paper documents potential reasons for this result including increased operational expenses, potential confusion with certified and registered LEED projects in the data, and qualitative input. The qualitative input comes from a small sample survey of five industry professionals. The paper provides one of the only analyses on operating efficiencies with LEED and ENERGY STAR hospitality properties.

Updating Existing Travel Simulation Models with Small-Sample Survey Data Using Parameter Scaling Methods

1997 ◽  
Vol 1607 (1) ◽  
pp. 55-61
Author(s):  
W. Thomas Walker ◽  
Scott H. Brady ◽  
Charles Taylor
Keyword(s):  
Survey Data ◽  
Primary Source ◽  
Simulation Models ◽  
Small Sample ◽  
Sample Survey ◽  
Secondary Source ◽  
Sample Surveys ◽  
Large Sample ◽  
Scaling Methods ◽  
Home Interview

The travel simulation models for many metropolitan areas were originally developed and calibrated with older large-sample travel surveys that can no longer be undertaken given today’s funding constraints. Small-sample travel surveys have been collected as part of model update activities required by the Intermodal Surface Transportation Efficiency Act and the Clean Air Act Amendments. Although providing useful information, these surveys are inadequate for calibrating elaborate simulation models by traditional techniques. Parameter transfer scaling based on small-sample surveys and other secondary source data can be a cost-effective alternative to large-sample surveys when existing models are being updated, particularly when the models tend to be robust and the required changes are relatively small. The use of parameter scaling methods to update the Delaware Valley Planning Commission’s existing travel simulation models is demonstrated. All available sources of data are incorporated into the update process including current survey data, census work trips from the Census Transportation Planning Package (CTPP), transit ridership checks, highway screenline counts, and Highway Performance Monitoring System travel estimates. A synopsis of experience with parameter scaling techniques including the model changes and resulting accuracy is provided. Overall, small-sample-based parameter scaling techniques were judged to be effective. The census CTPP data were evaluated versus the home interview and were found to be useful in the model recalibration effort as a source of small-area employment data by place of work and as a supplement to home interview data for model validation. However, a home interview survey is required as the primary source of travel data for both work and nonwork trips.

Research on Information Demand and Publishing Framework about Public Infrequent Events Based on Residents Feature

2014 ◽  
Vol 668-669 ◽  
pp. 1470-1475
Author(s):  
Li Shan Sun ◽  
Jing Qiao ◽  
Wei Luo ◽  
Ling Sun
Keyword(s):  
Travel Demand ◽  
Mobile Terminal ◽  
Small Sample ◽  
Sample Survey ◽  
Travel Information ◽  
Episodic Events ◽  
Information Accessibility ◽  
Information Demand ◽  
Public Traffic ◽  
Traffic Operation

Traffic operation characteristics of the city gradually changed from simplicity to comprehensiveness. In this paper, different influence of episodic events was analyzing from angle of the students, commuter, retirees, according to the common accidental event types of public traffic. Combined with the SP public small sample survey, different residents requirement on information about type, location, prompting time was analyze and contingency information request form was constructed. Besides, the best information publishing channels of different groups was discussed and contingency framework was built. In addition, mobile phone APP mobile terminal was developed and the framework of information release was constructed. All in all, the goal is to solve the conflict between city residents travel demand and travel information accessibility, timeliness, accuracy, and to improve transportation efficiency.

Collaborative technologies and knowledge management in psychiatric hospitals in South West Nigeria

2020 ◽  
pp. 026666691989556 ◽  
Author(s):  
Oluyemi Folorunsho Ayanbode ◽  
Williams E. Nwagwu
Keyword(s):  
Professional Development ◽  
Knowledge Creation ◽  
Explicit Knowledge ◽  
Psychiatric Hospitals ◽  
Sample Survey ◽  
Quantitative Research Methods ◽  
Team Members ◽  
Collaborative Technologies ◽  
Development Therapy ◽  
Therapy Team

This study examined the relationships among KM (knowledge creation, sharing), professional development, therapy team’s (TT’s) operation modes, interaction modes and collaborative technologies’ use determinants. A sample survey research design and mixed methods approach that combined quantitative research methods guided the study. Quantitative data was collected from 283 therapy team members in two psychiatric hospitals in Nigeria using a self-administered questionnaire. SPSS version 22 and SPSS (AMOS) version 23 were used to analyse the data. Knowledge creation and knowledge sharing impacted significantly on professional development. Therapy team members’ Intellectual capability, increased innovation, disciplinary specialisation and professional learning are dependent on their creation and sharing of knowledge. Disciplinary socialisation, transdisciplinary socialisation, collaboration and communication summarise their day-to-day operations. Collaboration and knowledge creation and sharing have a very strong relationship. Working together with colleagues is directly related with creation and sharing of both tacit and explicit knowledge. Learning by practical experience, brainstorming of ideas, sharing of clinical information and best practice of medical profession are positively impacted by collaboration. Documentation of such knowledge is needed to promote its sharing and safeguard knowledge loss in psychiatric hospitals.

scholarly journals Integration of Nonprobability and Probability Samples via Survey Weights

2021 ◽  
Vol 10 (6) ◽  
pp. 5
Author(s):  
Balgobin Nandram ◽  
Jai Won Choi ◽  
Yang Liu
Keyword(s):  
Population Model ◽  
Finite Population ◽  
Percent Level ◽  
Small Sample ◽  
Sample Survey ◽  
Alternative Methods ◽  
Population Means ◽  
Probability Sample ◽  
Two Samples ◽  
The Cost

Probability sample encounters the problems of increasing cost and nonresponse. The cost has rapidly been increasing in executing a large probability sample survey, and, for some surveys, response rate can be below the 10 percent level. Therefore, statisticians seek some alternative methods. One of them is to use a large nonprobability sample (S_1 ) supplemented by a small probability sample (S_2 ). Both samples are taken from the same population and they include common covariates, and a third sample (S_3 ) is created by combining these two samples; S_1  can be biased and S_2  may have large sample variance. These two problems are reduced by survey weights and combining the two samples. Although S_2  is a small sample, it provides good properties of unbiasedness in estimation and of survey weights. With these known weights, we obtain adjusted sample weights (ASW), and create a sample model from a finite population model. We fit the sample model to obtain its parameters and generate values from the population model. Similarly, we repeat these processes for other two samples, S_1  and S_3  and for different statistical methods. We show reduced biases of the finite population means and reduced variances.as the combined sample size becomes large. We analyze sample data to show the reduction of these two errors.

scholarly journals The Department of Labour's Job Vacancy Monitoring Programme

1970 ◽  
Author(s):  
Andrew Whiteford
Keyword(s):  
Action Plan ◽  
Supply And Demand ◽  
Small Sample ◽  
Monitoring Programme ◽  
Sample Survey ◽  
Stakeholder Consultation ◽  
Qualitative Survey ◽  
Job Advertisements ◽  
Job Vacancy ◽  
Skill Shortages

This paper introduces the Department of Labour’s Job Vacancy Monitoring Programme (JVMP). The programme is an initiative of the government’s Skills Action Plan and will provide new insights into skill shortages. It was designed through a comprehensive process of stakeholder consultation and a review of the international experience with skill shortage and vacancy surveys. The paper provides an overview of this process as well as a short description of the components of JVMP. These components are: • the Job Vacancy Monitor (J VM) a monthly analysis of job advertisements (which are classified to a detailed · occupational code) appearing in a single edition each month of 14 major newspapers and two intern e/job boards • a short, large sample. Survey of Employers who have Recently Advertised (SERA Extensive) skilled vacancies to · establish in which skilled occupations employers are having difficulty filling vacancies • an intensive, small sample. largely qualitative survey (SE RA Intensive) of employers who have advertised vacancies · in selected skilled occupations in shortage, to gain an in-depth understanding of these shortage. • analysis of statistical sources on supply and demand forces contributing to shortages in selected occupations • detailed reports on these selected occupations.

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