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McNeish, Daniel M.; Stapleton, Laura M. – Educational Psychology Review, 2016
Multilevel models are an increasingly popular method to analyze data that originate from a clustered or hierarchical structure. To effectively utilize multilevel models, one must have an adequately large number of clusters; otherwise, some model parameters will be estimated with bias. The goals for this paper are to (1) raise awareness of the…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Sample Size, Effect Size

Leviton, Laura C.; Hughes, Edward F. X. – Evaluation Review, 1981
The use of evaluations for policy and program development and change is critically reviewed. Existing conceptions of utilization are discussed and improvements in the methods of detecting use are suggested. Five clusters of variables affecting utilization are described and hypotheses about the reasons for their effects are outlined. (Author/AL)
Descriptors: Cluster Grouping, Definitions, Literature Reviews, Methods

Als, Heidelise – Monographs of the Society for Research in Child Development, 1978
Describes the conceptual model of newborn organization underlying the Brazelton Neonatal Behavioral Assessment Scale (NBAS). Argues that while the NBAS allows for the identification of an individual's behavioral repertoire, attempts to synthesize the resulting data have been plagued with difficulties. Briefly outlines an alternative model for…
Descriptors: Child Development, Cluster Grouping, Conceptual Schemes, Infant Behavior