Synopsis of Social media discussions

The discussions reflect a generally favorable attitude towards the article, with comments like 'a legit excel spreadsheet' and references to the tool being 'user-friendly but limited.' The tone suggests interest in improving research workflows, with examples comparing the tool to other software like R, emphasizing practicality over high-end capabilities.

A
Agreement
Moderate agreement

Most discussions express a positive view of the publication, especially comparing it favorably to previous tools and highlighting its usefulness.

I
Interest
Moderate level of interest

The topics are of moderate interest, as participants discuss practical tools and compare features, but without overly enthusiastic language.

E
Engagement
Moderate level of engagement

The posts show a basic level of engagement, including sharing personal experiences with tools and brief evaluations.

I
Impact
Moderate level of impact

The conversations indicate that the publication could influence research practices by providing accessible tools, though the tone remains practical rather than revolutionary.

Social Mentions

YouTube

4 Videos

Twitter

3 Posts

Blogs

2 Articles

Metrics

Video Views

3,740

Total Likes

35

Extended Reach

23,987

Social Features

9

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Meta-Essentials for Efficient Meta-Analysis Tools

Meta-Essentials for Efficient Meta-Analysis Tools

This video shows how to get MetaEssentials workbooks for doing meta-analysis quickly. Meta-Essentials is a free and user-friendly tool that simplifies effect size calculations and supports subgroup, moderator, and publication bias analyses, ideal for general meta-analysis tasks.

November 6, 2022

2,498 views


Meta-Analysis Using Meta-Essentials: Practical Examples and Validation

Meta-Analysis Using Meta-Essentials: Practical Examples and Validation

This tutorial explains how to perform meta-analysis with Meta-Essentials, a free and user-friendly tool for combining measures between independent groups for binary and continuous data. It covers effect size calculations, subgroup, moderator, and publication bias analyses.

January 15, 2024

431 views


Meta-Essentials for Meta-Analysis: A User-Friendly Statistical Tool

Meta-Essentials for Meta-Analysis: A User-Friendly Statistical Tool

This tutorial explains statistical procedures in MetaEssentials workbooks for quick meta-analysis. Meta-Essentials is a free, easy-to-use tool that automates effect size calculations and supports subgroup and bias analyses.

January 11, 2024

425 views


Meta-Essentials for Efficient Meta-Analysis: Features and Validation

Meta-Essentials for Efficient Meta-Analysis: Features and Validation

This video shows how to learn MetaEssentials workbooks for doing meta-analysis quickly. Meta-Essentials is a free, user-friendly tool for automatic effect size calculation, subgroup analysis, moderator analysis, and publication bias assessments.

January 8, 2024

387 views


  • Dr. Paula Mommersteeg
    @PaulaUvT (Twitter)

    RT @NL_Wetenschap: Ik heb ook een set Excel-tools voor meta-analyse mede-ontwikkeld die volop worden gebruik in onderzoek en onderwijs: htt…
    view full post

    February 25, 2022

    1

  • @NL_Wetenschap
    @NL_Wetenschap (Twitter)

    Ik heb ook een set Excel-tools voor meta-analyse mede-ontwikkeld die volop worden gebruik in onderzoek en onderwijs: https://t.co/PxIzYHnqda. Vrij simpel te gebruiken maar ook beperkt in functionaliteit. De tool zelf introduceren en vergelijken we hier https://t.co/7SUOIijH81
    view full post

    February 25, 2022

    8

    1

  • Michael Noetel
    @mnoetel (Twitter)

    @DanielGucciardi @roxannefelig +1 for @DanielGucciardi's paper and this book is gold if you have a handle on R: https://t.co/e7sxdFULqg This paper has a legit excel spreadsheet that does a lot of work, but without all the bells and whistles you can use in R https://t.co/sEYPyyUp4p
    view full post

    July 6, 2021

    1

Abstract Synopsis

  • Meta-Essentials is a free and user-friendly meta-analysis tool that simplifies the process by automatically calculating effect sizes from various statistics.
  • The tool provides features for subgroup analysis, moderator analysis, and publication bias analyses, while also incorporating the Knapp-Hartung adjustment for confidence intervals.
  • However, it does not support more complex methods like meta-analytical structural equation modeling or meta-regression with multiple covariates, making it best suited for general meta-analysis tasks.