Meta-Analysis Resources

Tools for Those Who Summarize the Evidence Base

Resources and networking for those who conduct or interpret meta-analyses related to any phenomenon that is gauged in multiple studies.

Devdeep Ahuja
  • Sheffield
  • United Kingdom
Share on Facebook Share on Facebook Share
  • Blog Posts
  • Discussions
  • Events
  • Groups (2)

Devdeep Ahuja's Groups

Gifts Received

Gift

Devdeep Ahuja has not received any gifts yet

Give a Gift

 

Devdeep Ahuja's Page

Latest Activity

Devdeep Ahuja replied to Devdeep Ahuja's discussion Deciding on the effect size to be used for meta- analyses? in the group Designing a Meta-Analysis
"Thanks Blair. I do have access to SPSS through my University, so can you tell me where I can download macros for this calculation. I think I could do without the steep learning curve of R. You have been truly helpful in guiding me through this maze…"
Jan 21, 2012
Blair T. Johnson replied to Devdeep Ahuja's discussion Deciding on the effect size to be used for meta- analyses? in the group Designing a Meta-Analysis
"You'll want to use the Fisher r-to-z conversion for analyses (and convert z-to-r for interpretation). Sources like Lipsey & Wilson (2001, Practical Meta-Analysis) will lead you through the problems. They also offer macros for meta-analysis…"
Jan 21, 2012
Devdeep Ahuja joined Tania's group
Thumbnail

Heterogeneity

Tips, techniques, and procedures to evaluate the extent to which effect size magnitude varies across a series of studies.
Jan 21, 2012
Devdeep Ahuja replied to Devdeep Ahuja's discussion Deciding on the effect size to be used for meta- analyses? in the group Designing a Meta-Analysis
"Thanks for your quick reply Blair. The aim is to study the relationship between 1) attendance and predictors (say for e.g. pain, self efficacy etc.) and 2) adherence and predictors (which can be same or different as attendance) and 3) if possible,…"
Jan 20, 2012
Blair T. Johnson replied to Devdeep Ahuja's discussion Deciding on the effect size to be used for meta- analyses? in the group Designing a Meta-Analysis
"Seems like attendance and adherence are both continuous variables. Most people would put them into the r metric, as you intuited. What happens in the studies? Do researchers commonly report the associations in terms of r or standardized beta…"
Jan 20, 2012
Devdeep Ahuja added a discussion to the group Designing a Meta-Analysis
Thumbnail

Deciding on the effect size to be used for meta- analyses?

Hi, I intend to conduct a meta analysis of quantitative studies which explore the predictors (barriers and facilitators) related to attendance and adherence. I am a bit confused as to whether 'r' is the correct effect size index to be used. My background is healthcare, so am not very good with statistics. My question specifically is that we have 2 independent variables - 1. Attendance2. AdherenceWe need to measure the relationship between predictor (e.g. pain) with adherence as well as…See More
Jan 20, 2012
Devdeep Ahuja joined Blair T. Johnson's group
Thumbnail

Designing a Meta-Analysis

Issues in deciding how to define the universe of research that a meta-analysis will address.
Jan 20, 2012
Devdeep Ahuja is now a member of Meta-Analysis Resources
Jan 20, 2012

Profile Information

Comment Wall

You need to be a member of Meta-Analysis Resources to add comments!

Join Meta-Analysis Resources

  • No comments yet!
 
 
 

© 2017   Created by Blair T. Johnson.   Powered by

Badges  |  Report an Issue  |  Terms of Service