The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using the SPSS Mixed Procedure to Fit Cross-Sectional and Longitudinal Multilevel Models
Abstract
Beginning with Version 11, SPSS implemented the MIXED procedure, which is capable of performing many common hierarchical linear model analyses. The purpose of this article was to provide a tutorial for performing cross-sectional and longitudinal analyses using this popular software platform. In doing so, the authors borrowed heavily from Singer’s overview of SAS PROC MIXED, duplicating her analyses using the SPSS MIXED procedure.
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Citations
Cites
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Singer, J. D. (1998) · Journal of Educational and Behavioral Statistics · doi:10.2307/1165280 · Cited by 1,092
Cited by
Centering predictor variables in cross-sectional multilevel models: A new look at an old issue.
Enders, C. K., & Tofighi, D. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.2.121 · Cited by 4,462
Self-citationChen, P., & Jacobson, K. C. (2012) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2011.05.013 · Cited by 663
Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations
Shek, D. T. L., & Ma, C. M. S. (2011) · The Scientific World JOURNAL · doi:10.1100/tsw.2011.2 · Cited by 425
Kwok, O.-M., Underhill, A. T., Berry, J. W., Luo, W., Elliott, T. R., & Yoon, M. (2008) · Rehabilitation Psychology · doi:10.1037/a0012765 · Cited by 388
Dealing With Missing Data in Developmental Research
Enders, C. K. (2013) · Child Development Perspectives · doi:10.1111/cdep.12008 · Cited by 330
Self-citation
Metadata
- Authors
- Peugh, J. L., & Enders, C. K.
- Venue
- Educational and Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 2005-10
- Volume
- 65
- Issue
- 5
- Pages
- 717-741
- ISSN
- 0013-1644 (ISSN-L)
- 1552-3888
- OpenAlex
- W2000351638
- Cited by
- 410
- References
- 1
- FWCI
- 9.99
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
