Optimal Design for Longitudinal and Multilevel Research: Documentation for the "Optimal Design" Software

By Xiao-feng Liu. 2006

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Determining Power and Sample Size for Simple and Complex Mediation Models (2017, methodology): “…been applied to many types of statistical models and research designs including linear regression, the generalized linear model (Faul, Erdfelder, Buchner, & Lang, 2009), randomized trials and cluster randomized trails (Spybrook et al., 2011), and structural equation models (Satorra & Saris, 1985).”
Modelling job crafting behaviours: Implications for work engagement (2016, methodology): “Statistical power analyses for two-level models were conducted with the optimal design software (Spybrook et al., 2008).”
Flow and Happiness in Later Life: An Investigation into the Role of Daily and Weekly Flow Experiences (2009, methodology): “Here as well as in the multivariate analyses, we used an alpha level of 0.10 to establish statistical significance because of our small sample size on Level 2, as determined by power analysis using Optimal Design software (Spybrook et al. 2006).”
Effect Sizes for Growth-Modeling Analysis for Controlled Clinical Trials in the Same Metric as for Classical Analysis (2009, unknown): “Indeed, a recently developed program to calculate power for HLM analysis requires the user to estimate dGMA-CHANGE (Spybrook et al., 2006), and meta-analyses of these values from prior HLM analyses would be the ideal means to obtain such estimates.”