scholarly journals Data collection at height

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Andrew LaBonte ◽  
Jon Hindmarsh ◽  
Dirk Vom Lehn
Keyword(s):  
Data Collection ◽  
Conversation Analysis ◽  
Work Settings ◽  
Recorded Data ◽  
Collection Strategies

Coordination, communication and practice in a range of extreme and highly specialised work settings rest upon orientations to sensory resources. For researchers to collect interactional data and to make sense of the embodied conduct of participants in these settings, we therefore argue that particular forms of researcher competence are critical. While the importance of a researcher’s competence in a setting has been widely discussed in ethnomethodology and conversation analysis, the types of embodied competence required to study these settings demand further consideration. Here we spotlight ways in which various types of setting-specific participation and embodied competence have informed (i) our data collection strategies and (ii) our abilities to make sense of the recorded data in a study of rope access work, otherwise known as industrial climbing.

scholarly journals Analyzing the researcher-participant in EMCA

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Emily Hofstetter
Keyword(s):  
Data Collection ◽  
Conversation Analysis ◽  
Recorded Data ◽  
Definition Of ◽  
Collection Practice

Conversation analysis strives to use naturalistic data in its research, but the definition of “natural” is often unclear (Speer, 2002) and can be at odds with both ethnomethodological understandings of data (Lynch, 2002) and practices of data collection (e.g., Stevanovic et al., 2017; Goodwin, 2018). In this paper, I reconsider the concept of naturalness with respect to a particular data collection practice: When the researcher themselves is a participant in the recorded data. I argue that analysis may be guided by how the researcher-participant is treated by others in the data, and that researchers may be considered as any other participant if treated as making activity-adequate (rather than research-adequate) contributions. Furthermore, researcher presence can demonstrate unique adequacy and provides opportunities to experiment with situated practices that otherwise are atypical or hard to access. This version of “natural” respecifies naturalness as a members’ concern in recorded interaction.

scholarly journals Simulation-based validation of activity logger data for animal behavior studies

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Jiawei Chen ◽  
Geoffrey Brown ◽  
Adam Fudickar
Keyword(s):  
Data Collection ◽  
Animal Behavior ◽  
Junco Hyemalis ◽  
Data Summarization ◽  
Simulation Based ◽  
Record Data ◽  
Recorded Data ◽  
And Behavior ◽  
Collection Strategies ◽  
Collection Methods

AbstractBio-loggers are widely used for studying the movement and behavior of animals. However, some sensors provide more data than is practical to store given experiment or bio-logger design constraints. One approach for overcoming this limitation is to utilize data collection strategies, such as non-continuous recording or data summarization that may record data more efficiently, but need to be validated for correctness. In this paper we address two fundamental questions—how can researchers determine suitable parameters and behaviors for bio-logger sensors, and how do they validate their choices? We present a methodology that uses software-based simulation of bio-loggers to validate various data collection strategies using recorded data and synchronized, annotated video. The use of simulation allows for fast and repeatable tests, which facilitates the validation of data collection methods as well as the configuration of bio-loggers in preparation for experiments. We demonstrate this methodology using accelerometer loggers for recording the activity of the small songbird Junco hyemalis hyemalis.

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.

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.

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.

Data collection strategies for high quality multi-pass SAR CCD images

2014 ◽  
Author(s):  
Yuanyuan Wang ◽  
Yulin Huang ◽  
Yuebo Zha ◽  
Wei Pu ◽  
Jianyu Yang
Keyword(s):  
Data Collection ◽  
High Quality ◽  
Collection Strategies
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