Lessons learned on approaches to data collection and analysis from a pilot study

2016 ◽  
Vol 24 (1) ◽  
pp. 32-36 ◽  
Author(s):  
Fiona Alice Watson
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Lessons Learned ◽  
Data Collection And Analysis

Addressing Educational Needs in Spatial Data, Information Science, and Geomatics in the Civil Engineering Undergraduate Curriculum

2003 ◽  
Vol 1848 (1) ◽  
pp. 64-69 ◽  
Author(s):  
Wayne A. Sarasua ◽  
William J. Davis
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Information Science ◽  
Civil Engineering ◽  
Undergraduate Curriculum ◽  
Lessons Learned ◽  
Planning System ◽  
Engineering Curriculum ◽  
Clemson University ◽  
Data Collection And Analysis

The technology-driven, rapidly advancing field of spatial data and information science (SDIS) is an integral part of numerous engineering professions. Many college civil engineering programs are struggling to find ways to accommodate this subject in an already crowded undergraduate curriculum. There are several reasons that taking a course in SDIS is desirable for civil engineers entering today’s demanding job market. First, technologies related to surveying, spatial data, and information science are among the fastest developing in the industry, and there is significant demand for skills in the latest technology. Second, spatial data collection and analysis are essential to all civil engineering disciplines; thus, a fundamental understanding of data collection and analysis techniques is desirable. The transportation discipline of civil engineering may face the greatest need for professionals specializing in SDIS. Transportation planning, system design, facilities management, and transportation logistics rely heavily on SDIS technologies, including conventional surveying, geographic information systems, Global Positioning System, remote sensing, and digital terrain modeling. A description is given of a widely transferable and technically up-to-date course in geomatics that expands on traditional surveying by incorporating modern methods of spatial data collection, management, and analysis. Including a course on geomatics early in students’ undergraduate civil engineering curriculum may plant the seed for the development of future SDIS and SDIS for transportation professionals. Lessons learned in developing geomatics courses at Clemson University, Georgia Tech, and The Citadel are presented. Findings and recommendations are summarized with respect to broader application issues affecting the civil engineering curriculum.

scholarly journals Mass customization capability

2013 ◽  
Vol 16 (2) ◽  
pp. 5-15
Author(s):  
Toan Khanh Vo ◽  
Hung Nguyen Bui
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Mass Customization ◽  
Large Scale ◽  
Supplier Integration ◽  
Large Scale Data ◽  
Data Collection And Analysis ◽  
Product Modularity ◽  
Initial Results ◽  
Scale Data

This paper aims to evaluate the reliability, validity and unidimentionality of the scales. A prepilot study was completed that involved three manufacturing managers and four academic experts to improve content validity. A pilot study was then completed that 108 middle and senior manufacturing managers in HCM City and neighboring provinces. Cronbach’s alpha and EFA analysis was used to assess the reliability validity and unidimentionality of the scales. The initial results show that mass customization capability, product modularity, supplier integration may have reliability, validity and unidimentionality; customer integration may not have unidimentionality. Therefore, large-scale data collection and analysis will have collected and analyzed to validate the instruments, test the model and research hypotheses.

scholarly journals Researching the Moral Experiences of Young Children: A Pilot Study

2020 ◽  
pp. 44-57
Author(s):  
Nora Makansi ◽  
Franco Carnevale
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Thematic Analysis ◽  
Participant Observation ◽  
Power Dynamics ◽  
School Aged Children ◽  
Preschool Classrooms ◽  
Data Collection And Analysis ◽  
Rapport Building ◽  
Collection Methods

The aim of this pilot study was to develop a research design and refine data collection and analysis methods to examine moral experiences of children in an education context. We piloted two data collection methods: participant observation and one-on-one interviews in preschool classrooms and with school-aged children, respectively. Our thematic analysis revealed how children coconstruct their daily experiences in this particular context; when and how they resist rules; and what moral experiences may look like in preschool interactions and how they may be understood and expressed by school-aged children. We also discussed methodological reflections on rapport building and power dynamics within these research methods.

scholarly journals Partnering with healthcare facilities to understand psychosocial distress screening practices among cancer survivors: pilot study implications for study design, recruitment, and data collection

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Diane Ng ◽  
M. Shayne Gallaway ◽  
Grace C. Huang ◽  
Theresa Famolaro ◽  
Jennifer Boehm ◽  
...  
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Cancer Survivors ◽  
Lessons Learned ◽  
Remote Access ◽  
Distress Screening ◽  
Healthcare Facilities ◽  
Study Staff ◽  
Patient Health ◽  
Treatment Facilities

Abstract Background We sought to understand barriers and facilitators to implementing distress screening (DS) of cancer patients to inform and promote uptake in cancer treatment facilities. We describe the recruitment and data collection challenges and recommendations for assessing DS in oncology treatment facilities. Methods We recruited CoC-accredited facilities and collected data from each facility’s electronic health record (EHR). Collected data included cancer diagnosis and demographics, details on DS, and other relevant patient health data. Data were collected by external study staff who were given access to the facility’s EHR system, or by facility staff working locally within their own EHR system. Analyses are based on a pilot study of 9 facilities. Results Challenges stemmed from being a multi-facility-based study and local institutional review board (IRB) approval, facility review and approval processes, and issues associated with EHR systems and the lack of DS data standards. Facilities that provided study staff remote-access took longer for recruitment; facilities that performed their own extraction/abstraction took longer to complete data collection. Conclusion Examining DS practices and follow-up among cancer survivors necessitated recruiting and working directly with multiple healthcare systems and facilities. There were a number of lessons learned related to recruitment, enrollment, and data collection. Using the facilitators described in this manuscript offers increased potential for working successfully with various cancer centers and insight into partnering with facilities collecting non-standardized DS clinical data.

scholarly journals Going Digital – Computer-Assisted Telephone Interviewing (CATI): Lessons learned from a pilot study

2021 ◽  
Author(s):  
Melissa Harris ◽  
Alexia Pretari
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Digital Computer ◽  
Electronic Device ◽  
Lessons Learned ◽  
Phone Call ◽  
Computer Assisted ◽  
Survey Technique ◽  
Collection Practices ◽  
Remote Data

In this sixth instalment of the Going Digital Series, we share our experiences of using computer-assisted telephone interviewing (CATI) software, which was researched and piloted following the outbreak of COVID-19 and the subsequent need for improved remote data collection practices. CATI is a survey technique in which interviews are conducted via a phone call, using an electronic device to follow a survey script and enter the information collected. This paper looks at the experience of piloting the technique in phone interviews with women in Kirkuk Governorate, Iraq.

scholarly journals Decision Analysis in SHared decision making for Thromboprophylaxis during Pregnancy (DASH-TOP): a sequential explanatory mixed methods pilot study protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e046021
Author(s):  
Brittany Humphries ◽  
Montserrat León-García ◽  
Shannon Bates ◽  
Gordon Guyatt ◽  
Mark Eckman ◽  
...  
Keyword(s):  
Decision Making ◽  
Mixed Methods ◽  
Pilot Study ◽  
Data Collection ◽  
Decision Analysis ◽  
Shared Decision Making ◽  
Quantitative Data ◽  
Integrated Approach ◽  
Shared Decision ◽  
Data Collection And Analysis

IntroductionDecision analysis is a quantitative approach to decision making that could bridge the gap between decisions based solely on evidence and the unique values and preferences of individual patients, a feature especially important when existing evidence cannot support clear recommendations and there is a close balance between harms and benefits for the treatments options under consideration. Low molecular weight heparin (LMWH) for the prevention of venous thromboembolism (VTE) during pregnancy represents one such situation. The objective of this paper is to describe the rationale and methodology of a pilot study that will explore the application of decision analysis to a shared decision-making process involving prophylactic LMWH for pregnant women or those considering pregnancy who have experienced a VTE.Methods and analysisWe will conduct an international, mixed methods, explanatory, sequential study, including quantitative data collection and analysis followed by qualitative data collection and analysis. In step I, we will ask women who are pregnant or considering pregnancy and have experienced VTE to participate in a shared decision-making intervention for prophylactic LMWH. The intervention consists of three components: a direct choice exercise, a values elicitation exercise and a personalised decision analysis. After administration of the intervention, we will ask women to make a treatment decision and measure decisional conflict, self-efficacy and satisfaction. In step II, which follows the analysis of quantitative data, we will use the results to inform the qualitative interview. Step III will be a qualitative descriptive study that explores participants’ experiences and perceptions of the intervention. In step IV, we will integrate findings from the qualitative and quantitative analyses to obtain meta-inferences.Ethics and disseminationSite-specific ethics boards have approved the study. All participants will provide informed consent. The research team will take an integrated approach to knowledge translation.

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