Reproducible complex survey secondary analysis using stata : ethnic discrimination among U.S. children /
In this case, I discuss how I used the National Survey of Children's Health to determine whether children with special health care needs were at higher risk of ethnic discrimination after adjusting for a number of covariates in multivariate modeling. Using Stata, I conducted a reproducible seco...
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd,
2020.
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| Series: | SAGE Research Methods Cases : Medicine and Health.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | In this case, I discuss how I used the National Survey of Children's Health to determine whether children with special health care needs were at higher risk of ethnic discrimination after adjusting for a number of covariates in multivariate modeling. Using Stata, I conducted a reproducible secondary analysis designed to answer the research question. Multivariate modeling had to account for the complex survey design of the National Survey of Children's Health. Overall, the research study provided much-needed empirical information about ethnic discrimination in the United States. Key to this research was a system to create reproducible results that relied on good version control. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781529740615 1529740614 |