Replication Data for 'The Conditional Nature of Publication Bias: A Meta-Regression Analysis'
<|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:'Publication bias is pervasive in social and behavioral sciences because journals and scholars tend to reward and be rewarded for statistically significant findings. However, the determinants of the severity of publication bias are less well understood.  We argue that publication bias depends on whether an independent variable is a key variable or statistical control in traditional regression modeling. The bias should be severe only for the key variable that relates to a central question and hypothesis in a study. We offer an empirical strategy to detect the conditional nature of publication bias. As an illustration, we perform a meta-regression of 229 model estimates from 36 articles in the democracy-foreign direct investment literature. We find that publication bias is most severe when democracy is a key variable, but appears weak when' . 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" : ["Democracy","Foreign direct investment","Meta-regression","Publication bias"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Publication bias is pervasive in social and behavioral sciences because journals and scholars tend to reward and be rewarded for statistically significant findings. However, the determinants of the severity of publication bias are less well understood.  We argue that publication bias depends on whether an independent variable is a key variable or statistical control in traditional regression modeling. The bias should be severe only for the key variable that relates to a central question and hypothesis in a study. We offer an empirical strategy to detect the conditional nature of publication bias. As an illustration, we perform a meta-regression of 229 model estimates from 36 articles in the democracy-foreign direct investment literature. We find that publication bias is most severe when democracy is a key variable, but appears weak when' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Publication bias is pervasive in social and behavioral sciences because journals and scholars tend to reward and be rewarded for statistically significant findings. However, the determinants of the severity of publication bias are less well understood.  We argue that publication bias depends on whether an independent variable is a key variable or statistical control in traditional regression modeling. The bias should be severe only for the key variable that relates to a central question and hypothesis in a study. We offer an empirical strategy to detect the conditional nature of publication bias. As an illustration, we perform a meta-regression of 229 model estimates from 36 articles in the democracy-foreign direct investment literature. We find that publication bias is most severe when democracy is a key variable, but appears weak when
Democracy; Foreign direct investment; Meta-regression; Publication bias