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

Data Collection by Survey01:07

Data Collection by Survey

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...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...

You might also read

Related Articles

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

Sort by
Same author

Bias in hair cortisol measures for psychological stress: Self vs. professional collection.

Psychoneuroendocrinology·2026
Same author

Genetic Architecture of Alcohol Use Disorder in Nepal.

medRxiv : the preprint server for health sciences·2025
Same author

Prevalence, persistence, and severity of 12-month and 30-day DSM-5 disorders in the World Mental Health Hong Kong Study.

The Lancet regional health. Western Pacific·2025
Same author

Household Migration and Adolescent Marriage Choice in Settings with Changing Marriage Systems.

Journal of comparative family studies·2025
Same author

How Armed Conflict Influences Migration.

Population and development review·2025
Same author

Retrenchment under climate-driven risks in subsistence farming communities.

Population and environment·2025

Related Experiment Video

Updated: May 14, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Collecting Survey Data during Armed Conflict.

William G Axinn1, Dirgha Ghimire, Nathalie E Williams

  • 1Institute for Social Research, University of Michigan 426 Thompson Street, Ann Arbor, MI 48106-1248.

Journal of Official Statistics
|February 20, 2013
PubMed
Summary
This summary is machine-generated.

Armed conflict can impact survey response, but tailored strategies can maintain high data quality. Study findings reveal duration is key, while local bombings decrease, and national events increase survey participation.

Keywords:
Contact RatesOperationsPanel StudiesResponse RatesViolence

More Related Videos

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Related Experiment Videos

Last Updated: May 14, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Area of Science:

  • Social Science Research Methods
  • Conflict Studies
  • Survey Methodology

Background:

  • Surveys are vital for understanding conflict's social impact.
  • Armed conflict can compromise survey data validity.
  • Longitudinal studies offer insights into data collection during conflict.

Purpose of the Study:

  • To investigate how armed conflict events affect survey response rates.
  • To analyze the impact of different conflict dimensions on data collection.
  • To identify principles for high-quality surveys during instability.

Main Methods:

  • Utilized longitudinal survey data from the Chitwan Valley Family Study (CVFS) during Nepal's armed conflict.
  • Analyzed survey attrition in relation to study duration and conflict events.
  • Compared the effects of local bombings versus nationwide political events on response rates.

Main Results:

  • Study duration was the primary driver of attrition, similar to non-conflict settings.
  • Local bombings reduced survey response rates, while nationwide political events increased them.
  • Overall response rates for the CVFS remained exceptionally high despite the conflict.

Conclusions:

  • Survey data quality is differentially affected by various dimensions of armed conflict.
  • Tailored operational strategies can ensure high-quality survey data collection during generalized violence.
  • Principles for conducting reliable surveys in conflict-affected regions can be derived from this study.