Research on police pursuits: advantages of multiple data collection strategies

1997 ◽  
Vol 20 (4) ◽  
pp. 729-748 ◽  
Author(s):  
L. Edward Wells ◽  
David N. Falcone
Keyword(s):  
Data Collection ◽  
Multiple Data ◽  
Collection Strategies

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.

Addressing telehealth's foremost barrier: Provider as initial gatekeeper

2005 ◽  
Vol 21 (4) ◽  
pp. 517-521 ◽  
Author(s):  
Pamela S. Whitten ◽  
Michael S. Mackert
Keyword(s):  
Data Collection ◽  
Public Funding ◽  
Project Managers ◽  
Ease Of Use ◽  
Telemedicine System ◽  
Regulatory Issues ◽  
The Past ◽  
Patient Interviews ◽  
Multiple Data ◽  
Collection Strategies

Objectives: During the past decade, telehealth has enjoyed a plethora of public funding and publication outlets around the world. Yet, rhetoric appears to be outpacing the actual diffusion and utilization of telehealth technologies for patient care. Several barriers, such as reimbursement and legal/regulatory issues, are commonly cited as impeding the successful deployment of this innovation. However, two separate studies carried out in Michigan that controlled for these barriers point out a more significant initial gatekeeper to the deployment of telehealth, namely providers.Methods: Multiple data collection strategies were used in both the telehospice and telepsychiatry projects, including utilization logs, surveys, telehospice nursing notes, cost frame data collection, patient interviews, caregiver interviews and focus groups, and videotaped visits.Results: This study summarizes data from the two studies to support the hypothesis that the provider is the most important initial gatekeeper for telemedicine.Conclusions: The implications from this conclusion have important consequences for health system deployment strategies. Specifically, telemedicine project managers must keep providers' needs (ease of use and incentives) in mind when designing a telemedicine system.

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.

The Establishment of a Dominant Interpretive Framework in Language Intervention

1997 ◽  
Vol 28 (3) ◽  
pp. 288-296 ◽  
Author(s):  
Jack S. Damico ◽  
Sandra K. Damico
Keyword(s):  
School Culture ◽  
Data Collection ◽  
Language Intervention ◽  
Speech Language Pathologists ◽  
Therapeutic Discourse ◽  
Therapeutic Encounter ◽  
Collection Strategies ◽  
Patterns Of Interaction ◽  
Interpretive Framework ◽  
The Way

One aspect of therapeutic discourse that has not been fully investigated in language intervention is the way that interactional dominance is established and maintained within the therapeutic encounter. Using various data collection strategies, therapeutic discourse from 10 language intervention sessions was collected and analyzed. By employing an analytic device known as the "dominant interpretive framework," the interactional styles and strategies of two speech-language pathologists were investigated. Data revealed several systematic patterns of interaction that constrained the ranges of interaction between the clinician and the client. Several implications regarding client empowerment, mediation, and assimilation into the school culture are discussed.

Promoting community engagement in a pre-registration nursing programme: a qualitative study of student experiences

2021 ◽  
Vol 30 (20) ◽  
pp. 1190-1197
Author(s):  
Pam Hodge ◽  
Nora Cooper ◽  
Brian P Richardson
Keyword(s):  
Data Collection ◽  
Community Engagement ◽  
Qualitative Data ◽  
Learning Experience ◽  
Student Nurses ◽  
Risk Assessments ◽  
Student Experiences ◽  
Cross Sectional ◽  
Health And Wellbeing ◽  
Collection Strategies

Aims: To offer child health student nurses a broader learning experience in practice with an autonomous choice of a volunteer placement area. To reflect the changing nature of health care and the move of care closer to home in the placement experience. To evaluate participants' experiences. Design: This study used descriptive and interpretative methods of qualitative data collection. This successive cross-sectional data collection ran from 2017 to 2020. All data were thematically analysed using Braun and Clarke's model. Methods: Data collection strategies included two focus groups (n=14) and written reflections (n=19). Results: Students identified their increased confidence, development as a professional, wider learning and community engagement. They also appreciated the relief from formal assessment of practice and the chance to focus on the experience. Conclusion: Students positively evaluated this experience, reporting a wider understanding of health and wellbeing in the community. Consideration needs to be given to risk assessments in the areas students undertake the placements and the embedding of the experience into the overall curriculum.

ADaCS: A Tool for Analysing Data Collection Strategies

2017 ◽  
pp. 230-245
Author(s):  
John C. Mace ◽  
Nipun Thekkummal ◽  
Charles Morisset ◽  
Aad Van Moorsel
Keyword(s):  
Data Collection ◽  
Collection Strategies

Information content of data with respect to models

1983 ◽  
Vol 245 (5) ◽  
pp. R620-R623
Author(s):  
M. Berman ◽  
P. Van Eerdewegh
Keyword(s):  
Experimental Data ◽  
Data Collection ◽  
Information Content ◽  
Mathematical Framework ◽  
Statistical Measures ◽  
Parameter Values ◽  
Collection Strategies

A measure is proposed for the information content of data with respect to models. A model, defined by a set of parameter values in a mathematical framework, is considered a point in a hyperspace. The proposed measure expresses the information content of experimental data as the contribution they make, in units of information bits, in defining a model to within a desired region of the hyperspace. This measure is then normalized to conventional statistical measures of uncertainty. It is shown how the measure can be used to estimate the information of newly planned experiments and help in decisions on data collection strategies.

scholarly journals Collecting quantitative experimental data from a non-WEIRD population: challenges and practical recommendations from a field experiment in rural Sierra Leone

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hanna Luetke Lanfer ◽  
Doreen Reifegerste ◽  
Sorie Ibrahim Kargbo
Keyword(s):  
Data Collection ◽  
Field Experiment ◽  
Sierra Leone ◽  
Ethical Dilemmas ◽  
Research Process ◽  
Health Programs ◽  
Considerable Time ◽  
Collection Strategies ◽  
Practical Recommendations ◽  
Extensive Pilot

Abstract Objective Standardized pretest–posttest experimental designs with quantitative surveys are frequently applied to evaluate the effectiveness of health programs. However, this method is strongly informed by research on samples from Western, Educated, Industralized, Rich, and Democratic (WEIRD) societies and may not produce meaningful results in a distinct cultural, educational and socioeconomic context. Results This paper reports several methodological challenges encountered along the research process of collecting quantitative survey data (i.e., during recruitment, obtaining informed consent, matching pretest–posttest data and data collection) for a mixed-methods field experiment on domestic handwashing in Sierra Leone. Ethical dilemmas of certain research practices are pointed out and potential solutions or alternatives are recommended for each challenge. Analysis of these challenges highlights the importance of reflecting on the aptness of research methodologies for non-WEIRD samples. While this is not to say that quantitative surveys are not suitable in a non-WEIRD context, their employment require considerable time for extensive pilot testing, involving local interviewers and participants in designing research projects and the modification of data collection strategies.

scholarly journals Data-collection strategy for challenging native SAD phasing

2016 ◽  
Vol 72 (3) ◽  
pp. 421-429 ◽  
Author(s):  
Vincent Olieric ◽  
Tobias Weinert ◽  
Aaron D. Finke ◽  
Carolin Anders ◽  
Dianfan Li ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Sets ◽  
Yield Data ◽  
Guide Rna ◽  
Multiple Data ◽  
Data Collection Strategy ◽  
Sad Phasing ◽  
Anomalous Signal ◽  
Multiple Data Sets ◽  
Low X

Recent improvements in data-collection strategies have pushed the limits of native SAD (single-wavelength anomalous diffraction) phasing, a method that uses the weak anomalous signal of light elements naturally present in macromolecules. These involve the merging of multiple data sets from either multiple crystals or from a single crystal collected in multiple orientations at a low X-ray dose. Both approaches yield data of high multiplicity while minimizing radiation damage and systematic error, thus ensuring accurate measurements of the anomalous differences. Here, the combined use of these two strategies is described to solve cases of native SAD phasing that were particular challenges: the integral membrane diacylglycerol kinase (DgkA) with a low Bijvoet ratio of 1% and the large 200 kDa complex of the CRISPR-associated endonuclease (Cas9) bound to guide RNA and target DNA crystallized in the low-symmetry space groupC2. The optimal native SAD data-collection strategy based on systematic measurements performed on the 266 kDa multiprotein/multiligand tubulin complex is discussed.

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