The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
An introduction to modern missing data analyses
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Citations
Cites
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,654
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology · doi:10.2307/2072165 · Cited by 17,442
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,265
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
(2010) · Cited by 7,034
Analysis of Incomplete Multivariate Data
Schafer, J. L. (1997) · doi:10.1201/9781439821862 · Cited by 6,012
Analysis of Incomplete Multivariate Data
Booth, D. E. (2000) · Technometrics · doi:10.1080/00401706.2000.10486013 · Cited by 5,627
Multiple imputation after 18+ years
Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476908 · Cited by 4,072
Cited by
Exploratory Factor Analysis: A Guide to Best Practice
Watkins, M. W. (2018) · Journal of Black Psychology · doi:10.1177/0095798418771807 · Cited by 2,218
Practitioner’s guide to latent class analysis: Methodological considerations and common pitfalls
Sinha, P., Calfee, C. S., & Delucchi, K. L. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000004710 · Cited by 1,204
A survey on missing data in machine learning
Emmanuel, T., Maupong, T., Mpoeleng, D., Semong, T., Mphago, B., & Tabona, O. (2021) · Journal of Big Data · doi:10.1186/s40537-021-00516-9 · Cited by 1,067
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Ge, Z., Song, Z., Ding, S. X., & Huang, B. (2017) · IEEE Access · doi:10.1109/access.2017.2756872 · Cited by 922
Ferguson, S. L., G. Moore, E. W., & Hull, D. M. (2020) · International Journal of Behavioral Development · doi:10.1177/0165025419881721 · Cited by 911
Metadata
- Authors
- Baraldi, A. N., & Enders, C. K.
- Venue
- Journal of School Psychology
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 48
- Issue
- 1
- Pages
- 5-37
- ISSN
- 0022-4405 (ISSN-L)
- OpenAlex
- W2068331431
- Cited by
- 1,452
- References
- 30
- FWCI
- 18.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Baraldi, A. N., & Enders, C. K. (2010). An introduction to modern missing data analyses. Journal of School Psychology. https://doi.org/10.1016/j.jsp.2009.10.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
