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

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

82
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
82
Data Collection by Experiments01:13

Data Collection by Experiments

23.8K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
23.8K
Crossover Experiments01:16

Crossover Experiments

2.7K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
2.7K
Group Design02:01

Group Design

8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
Study Design in Statistics01:15

Study Design in Statistics

7.8K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
7.8K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

407
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
407

You might also read

Related Articles

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

Sort by
Same author

Reliability of lung ultrasound in adult patients in emergency and intensive care settings: a systematic review protocol.

JBI evidence synthesis·2026
Same author

Discharge planning and guidance for preterm newborns: a best practice implementation project.

JBI evidence implementation·2026
Same author

Learner-Educator Co-creation of Student Assessment in Health Professional Education Courses: A Scoping Review.

Campbell systematic reviews·2026
Same author

Risk factors for neonatal sepsis in the intensive care unit: a scoping review.

Revista gaucha de enfermagem·2026
Same author

Effectiveness of highand medium-fidelity simulation in nursing education: randomized controlled trial.

Revista brasileira de enfermagem·2026
Same author

"I'm still the person!": experiences, barriers and facilitators relating to returning to work with post-stroke communication disorders.

Disability and rehabilitation·2026

Related Experiment Video

Updated: Jun 1, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

428

Methods for data extraction and data transformation in convergent integrated mixed methods systematic reviews.

Lucylynn Lizarondo1, Cindy Stern1, Susan Salmond2

  • 1JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.

JBI Evidence Synthesis
|January 20, 2025
PubMed
Summary
This summary is machine-generated.

This guidance clarifies data transformation, specifically qualitization, for mixed methods systematic reviews (MMSRs). It provides practical advice for reviewers on conducting qualitization during data extraction.

More Related Videos

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.2K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

69.9K

Related Experiment Videos

Last Updated: Jun 1, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

428
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.2K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

69.9K

Area of Science:

  • Evidence synthesis
  • Mixed methods research
  • Systematic reviews

Background:

  • Mixed methods systematic reviews (MMSRs) integrate quantitative and qualitative data.
  • Data transformation, including qualitization (converting quantitative to qualitative data), is crucial but poorly understood in MMSRs.
  • Existing guidance needs expansion to address practical aspects of qualitization.

Purpose of the Study:

  • To describe data transformation involving qualitization in MMSRs.
  • To clarify when and how to perform qualitization.
  • To align qualitization with data extraction for JBI convergent integrated MMSRs.

Main Methods:

  • Literature search on data transformation in systematic reviews.
  • Analysis of existing MMSRs using the JBI convergent integrated approach.
  • Iterative revision of draft guidance through expert consultation and committee review.

Main Results:

  • Identified uncertainty and variation in data transformation practices for MMSRs.
  • Recommended maintaining data integrity during extraction and constructing narrative representations when needed.
  • Described qualitization as assembling extracted data and creating categories based on meaning.

Conclusions:

  • This provides comprehensive guidance on data extraction and qualitization for MMSRs.
  • Acknowledges the need for tailoring methodology to specific review contexts.
  • Highlights future work on assessing certainty and confidence in MMSR findings.