Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

69
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
69
Censoring Survival Data01:09

Censoring Survival Data

164
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
164
Data Reporting and Recording01:24

Data Reporting and Recording

4.8K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Analysis of Participant-Level Characteristics Predicting Adherence to Long-Term EMA and Fitbit Monitoring in the 4HAIE Prospective Cohort Study.

International journal of behavioral medicine·2026
Same author

Variability of a job search indicator induced by operationalization decisions when using digital traces from a meter.

PloS one·2025
Same author

Correction: Understanding the role of disease knowledge and risk perception in shaping preventive behavior for selected vector-borne diseases in Guyana.

PLoS neglected tropical diseases·2025
Same author

Protocol for a web survey experiment studying the feasibility of asking respondents to capture and submit photos of the books they have at home and the resulting data quality.

Open research Europe·2024
Same author

A new experiment on the use of images to answer web survey questions.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)·2022
Same author

Willingness to participate in in-the-moment surveys triggered by online behaviors.

Behavior research methods·2022
Same journal

Incorporating external risk information with the Cox model under population heterogeneity: applications to trans-ancestry polygenic hazard scores.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)·2026
Same journal

A Bayesian mixture model approach to examining neighbourhood social determinants of health in endometrial cancer care in Massachusetts.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)·2026
Same journal

Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)·2026
Same journal

Professor Ian Hall's contribution to the Discussion of 'Some statistical aspects of the COVID-19 response' by Wood et al.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)·2026
Same journal

Multivariate mixed models accounting for don't know options in ordinal data.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)·2026
Same journal

A Bayesian zero-inflated spatially varying coefficients model for overdispersed binomial data.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)·2025
See all related articles

Related Experiment Video

Updated: Aug 2, 2025

Design and Construction of an Urban Runoff Research Facility
13:48

Design and Construction of an Urban Runoff Research Facility

Published on: August 8, 2014

13.1K

When survey science met web tracking: Presenting an error framework for metered data.

Oriol J Bosch1,2, Melanie Revilla2

  • 1Department of Methodology The London School of Economics and Political Science London UK.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)
|April 17, 2023
PubMed
Summary
This summary is machine-generated.

Metered data, or web-tracking data, offers unobtrusive online behavior insights but has limitations. A new Total Error framework for Meters (TEM) systematically identifies and addresses potential data biases and variances.

Keywords:
digital trace dataerror frameworkmetered datapassive datatotal survey errorweb‐tracking

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.4K

Related Experiment Videos

Last Updated: Aug 2, 2025

Design and Construction of an Urban Runoff Research Facility
13:48

Design and Construction of an Urban Runoff Research Facility

Published on: August 8, 2014

13.1K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.4K

Area of Science:

  • Digital Trace Data Analysis
  • Survey Methodology
  • Computational Social Science

Background:

  • Metered data, including web-tracking data, captures digital traces of online behavior from consenting participants' devices.
  • While valuable for understanding online activities and their impacts, metered data possesses inherent limitations and potential errors.
  • Existing research has not systematically categorized or conceptualized the errors associated with metered data.

Purpose of the Study:

  • To introduce a comprehensive Total Error framework for digital traces collected with Meters (TEM).
  • To systematically categorize and conceptualize potential errors in metered data.
  • To provide a framework for identifying, quantifying, and reducing errors in metered data research.

Main Methods:

  • Development of the Total Error framework for Meters (TEM), inspired by Total Survey Error principles.
  • Description of the data generation and analysis processes for metered data within the TEM framework.
  • Application of the TEM framework using a case study to demonstrate error identification and reduction.

Main Results:

  • The TEM framework identifies and documents sources of bias and variance across the metered data lifecycle.
  • A case study demonstrated that metered data can be affected by identified error sources, potentially introducing bias.
  • The framework provides a structured approach to assessing and mitigating errors in digital trace data.

Conclusions:

  • Metered data, while useful, is susceptible to various errors that can impact its accuracy and reliability.
  • The proposed Total Error framework for Meters (TEM) offers a systematic approach to improving metered data quality.
  • TEM facilitates better understanding and integration of metered data in research, including its combination with survey data.