For example, if we have chronotype score from MEQ (19-item), rMEQ (5-item) and CMS ?
Yes, Open Meta Analyst supports the calculation of meta-analysis for continuous variables measured in different scales. Meta-analysis is a statistical technique used to combine and analyze data from multiple studies to derive an overall effect size or estimate.
When conducting a meta-analysis with continuous variables measured in different scales, it is essential to standardize the data to ensure comparability across studies. Standardization involves transforming the measurements to a common scale, typically through methods such as z-scores or standardized mean differences (SMD). This allows for the meaningful pooling of data and the calculation of an overall effect size.
Open Meta Analyst provides tools and functions to handle various effect sizes, including standardized mean differences, as well as the necessary statistical methods for combining and analyzing continuous data in a meta-analysis. It allows you to input data from individual studies, specify the effect sizes and their variances, and perform the meta-analysis calculations.
To conduct a meta-analysis of continuous variables in different scales using Open Meta Analyst, follow these general steps:
We can do that. In that case you should use Standard Mean Difference.
- Badges
- Science topic
- Similar topics
- Biological Science
- Molecular Cell Biology
- Culture Cells
- Cell Line