Replication data for: How many countries for multilevel modeling? A comparison of Frequentist and Bayesian approaches.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Researchers in comparative research increasingly use multilevel models to test effects of country level factors on individual behavior and preferences. However, the justification of widely employed estimation strategies is asymptotic and applications in comparative politics routinely involve only a small number of countries. Thus researchers and reviewers often wonder if these models are applicable at all. In other words, how many countries do we need for multilevel modeling?  I present results from a large scale Monte Carlo experiment comparing the performance of multilevel models when few countries are available. I find that maximum likelihood estimates and confidence intervals can be severely biased, especially in models including cross-level interactions. In contrast, the Bayesian approach proves to be far more robust, and yields co' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Bayesian analysis","Multilevel models"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Researchers in comparative research increasingly use multilevel models to test effects of country level factors on individual behavior and preferences. However, the justification of widely employed estimation strategies is asymptotic and applications in comparative politics routinely involve only a small number of countries. Thus researchers and reviewers often wonder if these models are applicable at all. In other words, how many countries do we need for multilevel modeling?  I present results from a large scale Monte Carlo experiment comparing the performance of multilevel models when few countries are available. I find that maximum likelihood estimates and confidence intervals can be severely biased, especially in models including cross-level interactions. In contrast, the Bayesian approach proves to be far more robust, and yields co' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Researchers in comparative research increasingly use multilevel models to test effects of country level factors on individual behavior and preferences. However, the justification of widely employed estimation strategies is asymptotic and applications in comparative politics routinely involve only a small number of countries. Thus researchers and reviewers often wonder if these models are applicable at all. In other words, how many countries do we need for multilevel modeling?  I present results from a large scale Monte Carlo experiment comparing the performance of multilevel models when few countries are available. I find that maximum likelihood estimates and confidence intervals can be severely biased, especially in models including cross-level interactions. In contrast, the Bayesian approach proves to be far more robust, and yields co
Bayesian analysis; Multilevel models