ADaCS: A Tool for Analysing Data Collection Strategies

1997 ◽

Vol 28 (3) ◽

pp. 288-296 ◽

Cited By ~ 11

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.

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

British Journal of Nursing ◽

10.12968/bjon.2021.30.20.1190 ◽

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.

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

Journal of Telemedicine and Telecare ◽

10.1258/135763303767149906 ◽

2003 ◽

Vol 9 (3) ◽

pp. 125-129 ◽

Cited By ~ 26

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.

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Information content of data with respect to models

AJP Regulatory Integrative and Comparative Physiology ◽

10.1152/ajpregu.1983.245.5.r620 ◽

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.

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

BMC Research Notes ◽

10.1186/s13104-021-05828-w ◽

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.

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