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

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Bootstrapping01:24

Bootstrapping

The term "bootstrap" originated in the 19th century as a metaphor for self-improvement or achieving something independently, without external assistance. This concept extends to statistical bootstrapping, a self-contained method for estimating population parameters through resampling, even though it can be computationally intensive. Developed by the American statistician Dr. Bradley Efron in 1979, bootstrapping provides a robust way to perform inference when the original sample size is small or...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.

You might also read

Related Articles

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

Sort by
Same author

The Discovery of GIT1/β-Pix Inhibitors: Virtual Screening and Biological Evaluation of New Small-molecule Compounds with Anti-invasion Effect in Gastrointestinal Neoplasms.

Drug design, development and therapy·2024
Same author

Integrated image-based deep learning and language models for primary diabetes care.

Nature medicine·2024
Same author

The T120P or M172V mutation on <i>rv2172c</i> confers high level <i>para</i>-aminosalicylic acid resistance in <i>Mycobacterium tuberculosis</i>.

Emerging microbes & infections·2024
Same author

Association of long-term exposure to PM<sub>2.5</sub> and its chemical components with the reduced quality of sleep.

Sleep medicine·2024
Same author

The origin and spread of HIV-1 CRF59_01B epidemic in China: A molecular network and phylogeographic analysis.

Journal of medical virology·2024
Same author

Identification of NR3C2 as a functional diagnostic and prognostic biomarker and potential therapeutic target in non-small cell lung cancer.

Cancer innovation·2024
Same journal

Sexual Behaviors of Dating Apps Users: A Descriptive Study in French Population.

Sexually transmitted diseases·2026
Same journal

Unknown Duration or Late Syphilis Cases with High Titers - North Carolina, 2015 & 2023.

Sexually transmitted diseases·2026
Same journal

A New Era in Treponema pallidum Cultivation: Current Advances and Future Directions.

Sexually transmitted diseases·2026
Same journal

Advancements in Syphilis Vaccine Development.

Sexually transmitted diseases·2026
Same journal

Potential Strategies for Participation and Community Engagement in Syphilis Clinical Research.

Sexually transmitted diseases·2026
Same journal

Evaluation of Partner Notification Strategies to Improve Syphilis Management in Pregnancy in Blantyre, Malawi: A Mixed-Methods Study.

Sexually transmitted diseases·2026
See all related articles

Related Experiment Video

Updated: May 30, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

A simple new method to triangulate self-reported risk behavior data--the bean method.

Joseph T F Lau1, Nelson C Y Yeung, Lancelot W H Mui

  • 1Centre for Health Behaviours Research, School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. jlau@cuhk.edu.hk

Sexually Transmitted Diseases
|August 17, 2011
PubMed
Summary
This summary is machine-generated.

The bean method (BM) offers a more accurate way to collect data on human immunodeficiency virus (HIV) and sexually transmitted disease (STD) risk behaviors than traditional interviews. This method helps triangulate self-reported data, improving intervention strategies.

More Related Videos

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Related Experiment Videos

Last Updated: May 30, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Area of Science:

  • Public Health
  • Epidemiology
  • Behavioral Science

Background:

  • HIV/STD interventions often rely on self-reported data, which can be biased by social desirability.
  • There is a need for improved methods to accurately collect behavioral data for HIV/STD prevention.

Purpose of the Study:

  • To evaluate the effectiveness of a novel data collection method, the bean method (BM), for triangulating self-reported HIV/STD-related behavioral data.
  • To compare the BM with traditional face-to-face (FTF) interviews in assessing sensitive health behaviors.

Main Methods:

  • A prospective study comparing FTF surveys with the BM for collecting data on HIV/STD-related behaviors.
  • The BM involved participants anonymously transferring beans based on affirmative or negative responses to behavioral questions.
  • Data from both methods were collected and compared across different risk groups.

Main Results:

  • The BM reported higher prevalence of inconsistent condom use, unprotected sex, and STDs among female sex workers compared to FTF interviews.
  • Among men who have sex with men, the BM indicated higher rates of unprotected sex and multiple partners than FTF interviews.
  • No significant differences were found between the BM and FTF interviews among injecting drug users.

Conclusions:

  • The mode of data collection significantly influences the reported prevalence of HIV/STD-related behaviors.
  • The bean method is a simple and effective tool for triangulating self-reported behavioral data, enhancing the reliability of HIV/STD intervention research.