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

Reliability and Validity01:29

Reliability and Validity

14.3K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.3K
Data Validation01:15

Data Validation

3.4K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
3.4K
Data Validation01:03

Data Validation

7.2K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
7.2K
Random and Systematic Errors01:20

Random and Systematic Errors

15.7K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.7K
Random and Systematic Errors01:20

Random and Systematic Errors

900
900
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

11.3K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.3K

You might also read

Related Articles

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

Sort by
Same author

A Systematic Review of the Parkinson's Foundation Hospital Care Recommendations.

Movement disorders clinical practiceยท2025
Same author

Factors influencing referral to maternity models of care in Australian general practice.

PloS oneยท2024
Same author

A Multimodal Intervention to Reduce C. difficile Infections and Stool Testing.

Pediatricsยท2024
Same author

Experiences with COVID-19 case investigation and contact tracing: A qualitative analysis.

SSM. Qualitative research in healthยท2023
Same author

Functional analysis of phosphoethanolamine N-methyltransferase in plants and parasites: Essential S-adenosylmethionine-dependent methyltransferase in choline and phospholipid metabolism.

Methods in enzymologyยท2023
Same author

Pediatric mediastinal mass algorithm: A quality improvement initiative to reduce time from presentation to biopsy.

Paediatric anaesthesiaยท2021
Same journal

Brokerage, Gender, and Academic Performance in Interdisciplinary Co-Authorship Networks: A Study of Policy-Related Social Learning Publications.

Evaluation reviewยท2026
Same journal

Peer-led Support Groups for Parents Following Child Removal: A Mixed-Methods Evaluation Study.

Evaluation reviewยท2026
Same journal

Teacher-AI Collaboration to Support Assessment and Feedback: A Case Study in Norwegian Secondary Education.

Evaluation reviewยท2026
Same journal

Green Policies for the Circular Economy and Entrepreneurship: International Evidence.

Evaluation reviewยท2026
Same journal

Transparency, Ethical Framing, and User Agency as Determinants of Trust in AI-Mediated Assessment: Informing the Design of Trustworthy Systems.

Evaluation reviewยท2026
Same journal

No Evidence that Banning the Purchase of Sex Increases Rape: A Replication Study of Ciacci (2024, 2025).

Evaluation reviewยท2026
See all related articles

Related Experiment Video

Updated: Mar 15, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K

External Validity: The Next Step for Systematic Reviews?

Sarah A Avellar1, Jaime Thomas2, Rebecca Kleinman1

  • 11 Mathematica Policy Research, Washington, DC, USA.

Evaluation Review
|September 2, 2016
PubMed
Summary
This summary is machine-generated.

Systematic reviews often neglect external validity, hindering generalizability. Improved reporting guidelines are needed to ensure key information on intervention applicability across diverse settings is consistently included.

Keywords:
external validitysystematic reviews

More Related Videos

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

34.2K

Related Experiment Videos

Last Updated: Mar 15, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

34.2K

Area of Science:

  • Health Services Research
  • Evidence Synthesis

Background:

  • Systematic reviews typically assess intervention effectiveness and internal validity.
  • They often overlook external validity, which concerns applicability in different circumstances.

Purpose of the Study:

  • To examine how systematic reviews address external validity.
  • To identify limitations in current reporting of generalizability.

Main Methods:

  • A brief scan of 19 systematic reviews was conducted.
  • A detailed analysis of a home visiting research systematic review was performed.

Main Results:

  • Reviews often lack generalizability data (e.g., statistical representativeness).
  • Reporting inconsistencies in variables and measurements complicate cross-study comparisons and determinations of sample characteristics.

Conclusions:

  • Systematic reviews should incorporate external validity more consistently.
  • Developing reporting guidelines for external validity is crucial for evaluation research and reviews.