Transcription of Chapter 15 Mixed Models - Carnegie Mellon University
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Chapter 15 Mixed ModelsA flexible approach to correlated OverviewCorrelated data arise frequently in statistical analyses. This may be due to group-ing of subjects, , students within classrooms, or to repeated measurements oneach subject over time or space, or to multiple related outcome measures at onepoint in time. Mixed model analysis provides a general, flexible approach in thesesituations, because it allows a wide variety of correlation patterns (or variance-covariance structures) to be explicitly mentioned in Chapter 14, multiple measurements per subject generally resultin the correlated errors that are explicitly forbidden by the assumptions of standard(between-subjects) AN(C)OVA and regression Models .
level) mean or regression line. We also expect that there are various measured and unmeasured aspects of the upper level units that a ect all of the lower level measurements similarly for a given unit. For example various subject skills and traits may a ect all measurements for each subject, and various classroom traits
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