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Related Concept Videos

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Surveying is the art and science of mapping the earth's surface. It involves measuring distances, angles in horizontal or vertical directions, and levels to understand the shape and size of land features. Surveying techniques are essential for various tasks, such as identifying the levels of a land area with reference to a specific point, and mapping undulations and water bodies.There are two main types of surveying: plane surveys and geodetic surveys. Plane surveys assume the earth is flat,...
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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of...
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Related Experiment Video

Updated: Jan 20, 2026

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop
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Identifying Attrition Phases in Survey Data: Applicability and Assessment Study.

Camille J Hochheimer1, Roy T Sabo1, Robert A Perera1

  • 1Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, United States.

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|August 25, 2019
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Summary

Analyzing survey dropout patterns is key to understanding participant attrition. A user-specified method effectively identified high attrition phases, outperforming traditional hypothesis testing for web-based questionnaire data.

Keywords:
patient dropoutsstatistical modelssurveys and questionnairessurvival analyses

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Area of Science:

  • Survey methodology
  • Statistical analysis
  • Health research

Background:

  • Web-based questionnaires are efficient but face challenges with high participant dropout.
  • Analyzing dropout patterns can reveal causes of attrition in online surveys.

Purpose of the Study:

  • To apply and assess user-specified and existing hypothesis testing methods for identifying survey dropout phases.
  • To detect significant differences and phases of higher or lower participant dropout in online surveys.

Main Methods:

  • Proposed a user-specified threshold method to detect abrupt changes in dropout rates.
  • Applied two existing hypothesis testing methods to identify significant dropout differences.
  • Evaluated methods via simulation and a cancer screening questionnaire case study.

Main Results:

  • The user-specified method with a low threshold accurately identified high attrition phases in simulations and the case study.
  • All tested methods exhibited excessive sensitivity.
  • Hypothesis testing methods were less accurate in identifying attrition phases compared to the user-specified approach.

Conclusions:

  • The user-specified method is promising for identifying survey attrition phases.
  • Further research and development in the science of attrition are warranted.
  • Current hypothesis testing methods may not be optimal for analyzing survey dropout patterns.