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

Chemical Equations03:10

Chemical Equations

81.7K
Chemical equations represent the identities and relative quantities of substances involved in a chemical reaction. The substances undergoing reaction are called reactants, and their formulas are placed on the left side of the equation. The substances generated by the reaction are called products, and their formulas are placed on the right side of the equation. Plus signs (+) separate individual reactant and product formulas, and an arrow (→) separates the reactant and product (left and right)...
81.7K
Modeling with Differential Equations01:25

Modeling with Differential Equations

84
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
84
The Nernst Equation02:59

The Nernst Equation

47.0K
Nonstandard Reaction Conditions
The interconnection between standard cell potentials and various thermodynamic parameters such as the standard free energy change ΔG° and equilibrium constant K has been previously explored. For example, a redox reaction involving zinc(II) and tin(II) ions at 1 M concentration with Eºcell = +0.291 V and ΔG° = −56.2 kJ is spontaneous.
47.0K
Thermochemical Equations02:55

Thermochemical Equations

36.0K
For a chemical reaction (the system) carried out at constant pressure – with the only work done caused by expansion or contraction – the enthalpy of reaction (also called the heat of reaction, ΔHrxn) is equal to the heat exchanged with the surroundings (qp).
36.0K
Exponential Equations for Modeling Growth02:33

Exponential Equations for Modeling Growth

257
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
257
Clausius-Clapeyron Equation02:35

Clausius-Clapeyron Equation

63.1K
The equilibrium between a liquid and its vapor depends on the temperature of the system; a rise in temperature causes a corresponding rise in the vapor pressure of its liquid. The Clausius-Clapeyron equation gives the quantitative relation between a substance’s vapor pressure (P) and its temperature (T); it predicts the rate at which vapor pressure increases per unit increase in temperature.
63.1K

You might also read

Related Articles

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

Sort by
Same author

Differential utility of immediate versus delayed memory measures for the identification of episodic memory impairment: Systematic review and meta-analysis.

Psychological assessment·2026
Same author

Evaluating differences in latent means across studies: Extending meta-analytic confirmatory factor analysis with the analysis of means.

Research synthesis methods·2026
Same author

A Meta-Analysis of Social and Contextual Correlates of Migrant Adaptation to Living in Receiving Societies.

Nature communications·2025
Same author

The multifaceted role of emotion regulation in suicidality: Systematic reviews and meta-analytic evidence.

Psychological bulletin·2024
Same author

A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.

Psychological methods·2023
Same author

Perceived behavioral control moderating effects in the theory of planned behavior: A meta-analysis.

Health psychology : official journal of the Division of Health Psychology, American Psychological Association·2022
Same journal

Doubly robust augmented weighting estimators for the analysis of externally controlled single-arm trials and unanchored indirect treatment comparisons.

Research synthesis methods·2026
Same journal

Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study - CORRIGENDUM.

Research synthesis methods·2026
Same journal

Evaluating the accuracy and speed of eight deduplication tools: A comparative study.

Research synthesis methods·2026
Same journal

A comparison of preprint search aggregators: comprehensive identification of preprints in the information retrieval stage of evidence syntheses.

Research synthesis methods·2026
Same journal

Meta-research on key metrics of preregistered scoping reviews.

Research synthesis methods·2026
Same journal

Facilitators and barriers to engaging patient partners in knowledge syntheses: A stage-based approach.

Research synthesis methods·2026
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

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

1.6K

Some reflections on combining meta-analysis and structural equation modeling.

Mike W-L Cheung1

  • 1National University of Singapore, Singapore.

Research Synthesis Methods
|September 4, 2018
PubMed
Summary
This summary is machine-generated.

This paper explores combining meta-analysis and structural equation modeling (SEM) for advanced research. It highlights early contributions and potential for Big Data analysis, encouraging further development in integrated statistical methods.

Keywords:
SEM-based meta-analysismeta-analysismeta-analytic structural equation modelingstructural equation modeling

More Related Videos

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

77.7K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.6K

Related Experiment Videos

Last Updated: Feb 5, 2026

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

1.6K
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

77.7K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.6K

Area of Science:

  • Behavioral Sciences
  • Medical Sciences
  • Social Sciences

Background:

  • Meta-analysis and structural equation modeling (SEM) are prominent statistical techniques with distinct research communities.
  • Both methods have established terminologies, models, software, and dedicated journals.

Purpose of the Study:

  • To offer personal reflections on integrating meta-analysis and SEM.
  • To highlight foundational contributions to meta-analytic SEM.
  • To explore extending meta-analysis with other techniques for new research questions, including Big Data analysis.

Main Methods:

  • Discussion of meta-analytic SEM.
  • Exploration of SEM-based meta-analysis.
  • Conceptual illustration of integrating meta-analysis with other techniques.

Main Results:

  • Identification of key early contributors to meta-analytic SEM (Becker, 1992; Shadish, 1992; Viswesvaran & Ones, 1995).
  • Conceptual framework for combining meta-analysis and SEM.
  • Potential pathways for applying integrated methods to Big Data.

Conclusions:

  • Combining meta-analysis and SEM offers advanced analytical possibilities.
  • Further research is encouraged to develop and apply these integrated statistical approaches.
  • The integration holds promise for addressing complex research questions in the digital age.