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Part 1: Document Description
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Citation |
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Title: |
Replication data for: A Unified Approach To Measurement Error And Missing Data: Details And Extensions. |
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Identification Number: |
doi:10.7910/DVN/29610 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2015-03-24 |
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Version: |
1 |
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Bibliographic Citation: |
Blackwell, Matthew; Honaker, James; King, Gary, 2015, "Replication data for: A Unified Approach To Measurement Error And Missing Data: Details And Extensions.", https://doi.org/10.7910/DVN/29610, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication data for: A Unified Approach To Measurement Error And Missing Data: Details And Extensions. |
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Identification Number: |
doi:10.7910/DVN/29610 |
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Authoring Entity: |
Blackwell, Matthew |
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Honaker, James |
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King, Gary |
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Distributor: |
Harvard Dataverse |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Matthew Blackwell |
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Date of Deposit: |
2015-03-24 |
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Date of Distribution: |
2015-03-24 |
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Holdings Information: |
https://doi.org/10.7910/DVN/29610 |
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Study Scope |
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Keywords: |
Social Sciences, missing data, measurement error, imputation, multiple overimputation |
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Abstract: |
We extend a unified and easy-to-use approach to measurement error and missing data. Blackwell, Honaker, and King (2014a) gives an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details; more sophisticated measurement error model specifications and estimation procedures; and analyses to assess the approach's robustness to correlated measurement errors and to errors in categorical variables. These results support using the technique to reduce bias and increase efficiency in a wide variety of empirical research. </p><b>Notes</b>: This is the second of two articles to appear in the same issue of the same journal by the same authors. The other one is <a href="http://j.mp/1KbrWKX" target="_blank">“A Unified Approach to Measurement Error and Missing Data: Overview."</a> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
This dataset is made available without information on how it can be used. You should communicate with the Contact(s) specified before use. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Blackwell, Matthew, James Honaker, and Gary King. 2015. "A Unified Approach To Measurement Error And Missing Data: Details And Extensions." Sociological Methods and Research, 1-28. <a href="http://j.mp/1BQAvH9" target="_blank">Link to article</a> |
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Bibliographic Citation: |
Blackwell, Matthew, James Honaker, and Gary King. 2015. "A Unified Approach To Measurement Error And Missing Data: Details And Extensions." Sociological Methods and Research, 1-28. <a href="http://j.mp/1BQAvH9" target="_blank">Link to article</a> |
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measured-fig1.R |
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Replication code for Figure 1 |
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Replication code for Figures 2 and 3 |
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measured-fig4fig6.R |
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Replication code for Figures 4 and 6 |
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measured-fig5.R |
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Replication code for Figure 5 |
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measured-fig7.R |
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Replication code for Figure 7 |
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measured-fig8.R |
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Replication code for Figure 8 |
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measured-tab1.R |
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Replication code for Table 1 |
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measured-tab2.R |
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Replication code for Table 2 |
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text/plain; charset=US-ASCII |