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

Observational Studies01:11

Observational Studies

10.7K
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...
10.7K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

836
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
836
Data Collection by Observations01:08

Data Collection by Observations

14.3K
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...
14.3K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

373
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,...
373
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

8.4K
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...
8.4K
Naturalistic Observations02:30

Naturalistic Observations

16.9K
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...
16.9K

You might also read

Related Articles

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

Sort by
Same author

Intervention Effects on Phonological Processing in Children With Developmental Speech and/or Language Disorder: A Systematic Review and Meta-Analysis of Studies With Group Design.

International journal of language & communication disorders·2026
Same author

Convergent and Discriminant Validity Evidence of the Methodological Quality Scale for Studies Based on Observational Methodology (MQSOM).

The Spanish journal of psychology·2026
Same author

Socio-structural and individual determinants of HIV/STI prevention behaviors in Chile: a national cross-sectional analysis.

BMC public health·2026
Same author

Behavioral determinants of condom use and HIV/STI testing in Chile: a theory-driven mixed-methods study.

Scientific reports·2026
Same author

Effectiveness and implementation of a multi-faceted intervention to facilitate adoption of asthma self-management practices in Peruvian children and adolescents: a hybrid type 2 individually randomized controlled trial.

Frontiers in public health·2026
Same author

Behavioral Determinants and Effectiveness of Digital Behavior Change Interventions for the Prevention of Sexually Transmitted Infections and HIV: Overview of Systematic Reviews.

Journal of medical Internet research·2026

Related Experiment Video

Updated: Jan 5, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

20.7K

Methodological quality checklist for studies based on observational methodology (MQCOM).

Salvador Chacón-Moscoso1, M T Anguera, Susana Sanduvete-Chaves

  • 1Universidad de Sevilla, Universidad Autónoma de Chile (Chile).

Psicothema
|October 22, 2019
PubMed
Summary

Researchers developed a 16-item checklist to ensure methodological quality in observational studies. This tool aids professionals, especially non-experts, in improving research practices and study validity.

More Related Videos

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

969
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

1.5K

Related Experiment Videos

Last Updated: Jan 5, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

20.7K
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

969
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

1.5K

Area of Science:

  • Methodology
  • Research Quality Assessment

Background:

  • No standardized checklist exists for minimum methodological quality in observational studies.
  • Professionals lacking expertise in observational methodology need guidance for study design and execution.

Purpose of the Study:

  • To develop a checklist measuring essential items for observational study methodological quality.
  • To provide validity and intercoder reliability evidence for the developed checklist.

Main Methods:

  • A checklist was developed and evaluated by 54 expert judges on relevance, usefulness, and feasibility.
  • Items were selected based on Osterlind indexes (≥0.5).
  • The checklist's intercoder reliability was assessed using Cohen's kappa coefficients on selected observational studies.

Main Results:

  • A final checklist comprising 16 items across 11 criteria/dimensions was established.
  • Adequate reliability coefficients were achieved for the checklist.
  • The checklist demonstrated content validity and intercoder reliability.

Conclusions:

  • A practical instrument was created to enhance the methodological quality of observational studies.
  • The checklist empowers non-expert professionals to conduct higher-quality research.
  • This tool supports consistent application of methodological standards in observational research.