2005
DOI: 10.1177/0013164405278558
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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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Cited by 353 publications
(292 citation statements)
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“…As such, the Study 1a design included two levels of nesting-the data from reports for each goal were nested within individuals. Therefore, we used hierarchical linear modeling to analyze our data, using the SPSS Mixed procedure (Peugh & Enders, 2005).…”
Section: Resultsmentioning
confidence: 99%
“…As such, the Study 1a design included two levels of nesting-the data from reports for each goal were nested within individuals. Therefore, we used hierarchical linear modeling to analyze our data, using the SPSS Mixed procedure (Peugh & Enders, 2005).…”
Section: Resultsmentioning
confidence: 99%
“…If the quadratic relationship was significant, no further analyses were conducted. If the quadratic relationship was not significant, we then removed the quadratic relationship and re-ran the analysis to explore linear relationships (Brown, & Prescott, 1962;Peugh & Enders, 2005).…”
Section: The Relation Between Chronological Age and Cognitive Changementioning
confidence: 99%
“…Analyses were performed using the mixed model procedure of SPSS 15.0 for each dimension of fear of childbirth, using restricted maximum likelihood estimation (Peugh & Enders, 2005). Two models were estimated.…”
Section: Datamentioning
confidence: 99%