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

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

633
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
633
Bias01:22

Bias

4.8K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.8K
Confirmation Biases01:31

Confirmation Biases

7.1K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
7.1K
Framing Effects03:26

Framing Effects

7.5K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.5K
Barriers to Effective Communication II01:21

Barriers to Effective Communication II

3.8K
The barriers to effective communication also include cultural barriers, semantic barriers, gender barriers, and time constraints.
Cultural barriers:
Differences in values, beliefs, religion, knowledge, and tradition can significantly impact communication. Awareness of nonverbal cues is critical, especially when conversing with a patient from a different culture. What appears appropriate in one culture may be inappropriate in another.
Semantic barriers:
As a result of their tendency to use...
3.8K
Hindsight Biases01:12

Hindsight Biases

3.9K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.9K

You might also read

Related Articles

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

Sort by
Same author

To explain or not: How process explanations impact assessments of predictors.

Journal of experimental psychology. Applied·2019
See all related articles

Related Experiment Video

Updated: Sep 6, 2025

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

5.9K

Linear Biases and Pandemic Communications.

Daniel Villanova1

  • 1Department of Marketing, Sam M. Walton College of Business, University of Arkansas, Fayetteville, AR, USA (DV).

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|July 1, 2022
PubMed
Summary
This summary is machine-generated.

People tend to simplify complex trends, impacting epidemic forecasts. Presenting epidemic data by total cases, rather than new cases, increases forecast accuracy but is less effective for highly numerate individuals.

Keywords:
epidemicframinglinear biasrisk communicationrisk perception

More Related Videos

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.4K
Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.2K

Related Experiment Videos

Last Updated: Sep 6, 2025

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

5.9K
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.4K
Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.2K

Area of Science:

  • Cognitive Psychology
  • Epidemiology
  • Behavioral Economics

Background:

  • Individuals often simplify nonlinear trends into linear ones, causing forecast errors.
  • Existing theories on linear bias offer differing predictions for forecast accuracy.
  • Understanding these biases is crucial for managing public perception during epidemics.

Purpose of the Study:

  • To investigate how linear biases influence forecasts and risk perceptions of unfolding epidemics.
  • To compare different conceptualizations of linear biases and their impact.
  • To assess the effect of framing epidemic progress on forecasts and risk perception.

Main Methods:

  • An online experiment with a preregistered direct replication was conducted.
  • A total of 608 participants were recruited from different online pools.
  • Forecasts and risk perceptions were assessed over time using repeated measures within a single session.

Main Results:

  • Framing epidemic progress by total cases, versus the rate of new cases, led to higher forecasts.
  • The framing effect varied across different time points in the epidemic.
  • The impact of framing on forecasts differed from its impact on risk perceptions, and was weaker for numerate individuals.

Conclusions:

  • The way epidemic data is framed significantly influences public forecasts and risk perceptions.
  • Findings have implications for theories of linear bias and for public health communicators.
  • Tailoring communication strategies based on data framing and audience numeracy is recommended.