Autism and ADHD Co-Occurrence Analysis in the United States
by Morton, Hannah / ODUM Harvested Dataverse·Updated 4mo ago
Available on 1 platform
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Description
A collection of a Data Management and Sharing Plan for a secondary data analysis project. The plan describes the scientific data to be used in research on the co-occurrence of Autism and ADHD in the US, examining factors like sex, diagnostic criteria, provider type, and cognitive ability. The specific data volume, structure, and column details are not provided.
Use Cases
Analyze the impact of sex on the co-occurrence of Autism and ADHD diagnoses.
Examine how changing diagnostic criteria affect reported rates of Autism and ADHD.
Investigate the relationship between provider type and diagnosis patterns for these conditions.
Study the correlation between cognitive ability and the co-occurrence of Autism and ADHD.
Strengths
The plan is associated with a specific research project focused on Autism and ADHD co-occurrence in the US.
The plan outlines a strategy for managing and sharing project data, indicating structured intent.
Limitations
The dataset is a management plan, not the actual research data; the underlying data is not included.
No information is available on the volume, format, or specific variables of the intended analysis data.
The plan's last update date is in the future (2026-02-02), which may indicate a placeholder or planning status.
Provenance
Source
ODUM Harvested Dataverse
Collection Method
Data Management and Sharing Plan for a secondary data analysis research project.
Time Range
null
Freshness
null
Geography
United States
This record is a data management plan, not the actual research dataset. The underlying data for analysis is not available for download here.