Predicting group-level outcome variables: An empirical comparison of analysis strategies

Predicting group-level outcome variables: An empirical comparison of analysis strategies

This study provides a review of two methods for analyzing multilevel data with group-level outcome variables and compares them in a simulation study. The analytical methods included an unadjusted ordinary least squares (OLS) analysis of group means and a two-step adjustment of the group means sugges...

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Bibliographic Details
Main Authors: Foster-Johnson, L. (Author), Kromrey, J.D (Author)
Format: Article
Language:English
Published: Springer New York LLC 2018
Subjects:
Analysis of group means
analytic method
article
Bias
controlled study
Correlation of Data
effect size
error
Group-level outcomes
human
Humans
least square analysis
Least-Squares Analysis
Micro–macro data
multilevel analysis
Multilevel Analysis
observer variation
Observer Variation
outcome assessment
outcome variable
predictor variable
reliability
reproducibility
Reproducibility of Results
sample size
Sample Size
scientist
simulation
statistical bias
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