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

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Naturalistic Observations02:30

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

You might also read

Related Articles

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

Sort by
Same author

Nitidine Isolated from the Bark of Zanthoxylum myriacanthum and its Effects on NTERA-2 Cancer Stem Cells.

Planta medica·2025
Same author

Fascioliasis in north-central Vietnam: Assessing community knowledge, attitudes, and practices.

PLoS neglected tropical diseases·2025
Same author

Chemical Composition and Pesticidal Activities Against Three Vector Mosquito Species of Zanthoxylum armatum DC. Essential Oils.

Chemistry & biodiversity·2025
Same author

Individual heat adaptation: Analyzing risk communication, warnings, heat risk perception, and protective behavior in three German cities.

Risk analysis : an official publication of the Society for Risk Analysis·2024
Same author

A place-based risk appraisal model for exploring residents' attitudes toward nature-based solutions to flood risks.

Risk analysis : an official publication of the Society for Risk Analysis·2023
Same author

An agent-based model for evaluating reforms of the National Flood Insurance Program: A benchmarked model applied to Jamaica Bay, NYC.

Risk analysis : an official publication of the Society for Risk Analysis·2022
Same journal

Competition and Collaboration in the AI Race: Country-LevelDirectional Evidence for Risk Monitoring and Policy.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Cyber Resilience: Management With Cybersecurity Controls.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Jack Fowle: Combining Values, Experience, and Teamwork to Improve Risk Analysis.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

A Hybrid FMEA-AHP Framework for Risk Prioritization in Nontransparent Artificial Intelligence Systems.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Trust-Building Communication for Extreme Heat Preparedness.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Spring Broken: A Risk Analysis of Fatal and Nonfatal Traffic Injuries in Florida.

Risk analysis : an official publication of the Society for Risk Analysis·2026
See all related articles

Related Experiment Video

Updated: May 12, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Exploring the Intention-Behavior Relationship in Flood Adaptation Using Longitudinal Data.

Tang T Luu1, Annegret H Thieken1, Toon Haer2

  • 1Institute of Environmental Science and Geography, University of Potsdam, Potsdam-Golm, Germany.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|May 11, 2026
PubMed
Summary
This summary is machine-generated.

Most flood adaptation intentions go unrealized. Intention strength better predicts retrofitting behavior than simple intention, highlighting factors like financial capacity for effective flood damage reduction.

Keywords:
Vietnamflood adaptation behaviorflood adaptation intentionintention‒behavior gaplongitudinal study

More Related Videos

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

Published on: April 18, 2017

Related Experiment Videos

Last Updated: May 12, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

Published on: April 18, 2017

Area of Science:

  • Environmental Science
  • Behavioral Science
  • Disaster Risk Reduction

Background:

  • Flood damage reduction requires understanding individual adaptation motivations, particularly in lower-income countries.
  • Behavioral theories often use adaptation intention as a proxy for behavior, but empirical studies show a significant intention-behavior gap.
  • Intention strength, reflecting commitment, may better predict behavior but hasn't been tested in flood risk adaptation.

Purpose of the Study:

  • To examine the intention-behavior relationship in flood risk adaptation using intention strength.
  • To investigate predictors influencing intention and behavior differently or independently.
  • To enhance the predictive power of behavioral theories in flood adaptation contexts.

Main Methods:

  • A two-wave longitudinal survey was conducted with 401 randomly selected respondents in Vietnam.
  • Intention strength was measured to assess commitment to adaptation actions.
  • Behavioral outcomes (preparing devices, retrofitting homes) were tracked over six months.

Main Results:

  • Over 90% of intended flood adaptation actions were not realized within six months.
  • Intention strength did not significantly predict device preparation but correlated with home retrofitting.
  • Financial capacity, regular flood experience, and housing situation influenced behavior but not intention.

Conclusions:

  • Intention strength may be a more reliable proxy for behavior than intention alone, especially for home retrofitting.
  • Factors beyond intention, such as financial capacity and housing situation, are crucial for motivating flood adaptation behavior.
  • Policymakers should consider these additional factors to improve flood damage reduction strategies.