Data Collection Platforms for Integrated Longitudinal Surveys of Human Exposure-Related Behavior

2007 ◽  
Author(s):  
Paul Kizakevich
Keyword(s):  
Data Collection ◽  
Human Exposure ◽  
Longitudinal Surveys

scholarly journals Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata

2019 ◽  
Author(s):  
Joe J. Murphy ◽  
Michael A. Duprey ◽  
Robert F. Chew ◽  
Paul P. Biemer ◽  
Kathleen Mullan Harris ◽  
...  
Keyword(s):  
Data Collection ◽  
Add Health ◽  
Adult Health ◽  
Design Data ◽  
Web Based ◽  
Longitudinal Surveys ◽  
R Programming Language ◽  
Longitudinal Survey Data ◽  
Wide Range ◽  
R Programming

Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.

scholarly journals Assessing Nonresponse in a Longitudinal Establishment Survey Using Regression Trees

2018 ◽  
Vol 34 (2) ◽  
pp. 463-481
Author(s):  
Morgan Earp ◽  
Daniell Toth ◽  
Polly Phipps ◽  
Charlotte Oslund
Keyword(s):  
Data Collection ◽  
Response Rate ◽  
Regression Tree ◽  
Regression Trees ◽  
Nonresponse Bias ◽  
Longitudinal Surveys ◽  
Data Collection Process ◽  
Data Collection And Analysis ◽  
Tree Models ◽  
Establishment Survey

Abstract This article introduces and discusses a method for conducting an analysis of nonresponse for a longitudinal establishment survey using regression trees. The methodology consists of three parts: analysis during the frame refinement and enrollment phases, common in longitudinal surveys; analysis of the effect of time on response rates during data collection; and analysis of the potential for nonresponse bias. For all three analyses, regression tree models are used to identify establishment characteristics and subgroups of establishments that represent vulnerabilities during the data collection process. This information could be used to direct additional resources to collecting data from identified establishments in order to improve the response rate.

scholarly journals Assessing the impact of tobacco control policies on smokeless tobacco uptake and use among secondary school students in South Asia: protocol for a feasibility study of conducting longitudinal surveys

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1123
Author(s):  
Masuma Pervin Mishu ◽  
Kamran Siddiqi ◽  
Ann McNeill ◽  
Mona Kanaan ◽  
Cath Jackson ◽  
...  
Keyword(s):  
Data Collection ◽  
Secondary School ◽  
Tobacco Control ◽  
Feasibility Study ◽  
Secondary School Students ◽  
School Students ◽  
Control Policies ◽  
Longitudinal Surveys ◽  
Tobacco Control Policies ◽  
The Impact

Background: Smokeless tobacco (ST) use is common among youth in South Asia where 85% of the world’s 300 million ST users live and use the most lethal ST forms. Little is known about the impact of tobacco control policies on the youth ST uptake in those countries. We planned to conduct longitudinal surveys among secondary school students to evaluate existing tobacco control policies on ST uptake and use, and a feasibility study for that prospective, observational cohort study. Study objectives: (1) To demonstrate the feasibility of selection, recruitment and retention of schools and of study participants; (2) To assess the feasibility and acceptability of the study procedure and study tool (questionnaire); (3) To assess if the questionnaire can assess tobacco uptake and use, and the potential predictors of tobacco uptake and use of the envisaged main study. Methods and analysis: The feasibility study will be conducted in two administrative areas within each of three South Asian countries: Bangladesh, India and Pakistan. We will use both quantitative and qualitative data collection methods. Eight eligible secondary schools will be randomly selected within purposively selected sub-districts from each country. We plan to conduct one baseline and one follow up survey among secondary school students, one year apart. At each time point, data on tobacco uptake and the potential predictors will be collected from students via self-administered questionnaires. The qualitative component will be embedded into the study with each round of data collection to assess the acceptability of the study instrument (questionnaire) and data collection methods, via focus group discussions with students and semi-structured interviews with schoolteachers. Recruitment and retention rates, completeness of the questionnaires, frequencies and associations of tobacco use and explanatory variables will be reported. Data gathered from the focus group and interviews will be analysed using the framework approach.

Electron Diffraction of Wet Biological Membranes

1974 ◽  
Vol 32 ◽  
pp. 158-159
Author(s):  
S.W. Hui ◽  
D.F. Parsons
Keyword(s):  
Electron Diffraction ◽  
Data Collection ◽  
Biological Membranes ◽  
Small Areas ◽  
Electron Diffraction Technique ◽  
Electron Microscopes ◽  
Collection Time ◽  
Camera Length

The development of the hydration stages for electron microscopes has opened up the application of electron diffraction in the study of biological membranes. Membrane specimen can now be observed without the artifacts introduced during drying, fixation and staining. The advantages of the electron diffraction technique, such as the abilities to observe small areas and thin specimens, to image and to screen impurities, to vary the camera length, and to reduce data collection time are fully utilized. Here we report our pioneering work in this area.

Automated electron tomography: from data collection to image processing

1995 ◽  
Vol 53 ◽  
pp. 26-27
Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Structural Information ◽  
Imaging Technique ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Automated Data Collection ◽  
Full Control ◽  
Transmission Electron ◽  
Amorphous Structures

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.

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