Replication Data for: Cross-level Sociodemographic Homogeneity Alters Individual Risk For Completed Suicide
<|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:'Among deaths of despair, the individual and community correlates of US suicides have been consistently identified and are well-known.  Yet, the suicide rate has been stubbornly unyielding to reduction efforts, promoting calls for novel research directions. Linking levels of influence have been proposed in theory but blocked by data limitations in the U.S.  Guided by theories on the importance of connectedness and responding to unique data challenges of low base rates, geographical dispersion, and appropriate comparison groups, we attempt the first harmonization of data from the National Violence Data Reporting System (NVDRS) and the American Community Survey (ACS) to match individual-county level risks.  We theorize cross-level socio-demographic homogeneity between individuals and communities, or “sameness”, focusing on whether having l' . 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" : ["contextual effects","demographic homogeneity","multilevel analysis","sameness","suicide"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Among deaths of despair, the individual and community correlates of US suicides have been consistently identified and are well-known.  Yet, the suicide rate has been stubbornly unyielding to reduction efforts, promoting calls for novel research directions. Linking levels of influence have been proposed in theory but blocked by data limitations in the U.S.  Guided by theories on the importance of connectedness and responding to unique data challenges of low base rates, geographical dispersion, and appropriate comparison groups, we attempt the first harmonization of data from the National Violence Data Reporting System (NVDRS) and the American Community Survey (ACS) to match individual-county level risks.  We theorize cross-level socio-demographic homogeneity between individuals and communities, or “sameness”, focusing on whether having l' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Among deaths of despair, the individual and community correlates of US suicides have been consistently identified and are well-known.  Yet, the suicide rate has been stubbornly unyielding to reduction efforts, promoting calls for novel research directions. Linking levels of influence have been proposed in theory but blocked by data limitations in the U.S.  Guided by theories on the importance of connectedness and responding to unique data challenges of low base rates, geographical dispersion, and appropriate comparison groups, we attempt the first harmonization of data from the National Violence Data Reporting System (NVDRS) and the American Community Survey (ACS) to match individual-county level risks.  We theorize cross-level socio-demographic homogeneity between individuals and communities, or “sameness”, focusing on whether having l
contextual effects; demographic homogeneity; multilevel analysis; sameness; suicide