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Power And Bias In Hierarchical Linear Growth Models: More Measurements For Fewer People, Regine Haardoerfer
Power And Bias In Hierarchical Linear Growth Models: More Measurements For Fewer People, Regine Haardoerfer
Educational Policy Studies Dissertations
Hierarchical Linear Modeling (HLM) sample size recommendations are mostly made with traditional group-design research in mind, as HLM as been used almost exclusively in group-design studies. Single-case research can benefit from utilizing hierarchical linear growth modeling, but sample size recommendations for growth modeling with HLM are scarce and generally do not consider the sample size combinations typical in single-case research. The purpose of this Monte Carlo simulation study was to expand sample size research in hierarchical linear growth modeling to suit single-case designs by testing larger level-1 sample sizes (N1), ranging from 10 to 80, and smaller level-2 sample sizes …