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Kari Roethlisberger, Vista Beasley, Jeffrey Martin, Brigid Byrd, Krista Munroe-Chandler and Irene Muir

screened to assess missing data and normality. Missing data is typically not a problem if it is under 5% or 10% ( Bennett, 2001 ; Schafer, 1999 ) Mean imputation was used for seven missing data points for five variables. Given the low percentage (.002%) of missing data this approach is considered

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Eric MacIntosh, Keita Kinoshita and Popi Sotiriadou

imputation: A primer . Statistical Methods in Medical Research, 8 ( 1 ), 3 – 15 . PubMed ID: 10347857 doi:10.1177/096228029900800102 10.1177/096228029900800102 Simpson , N.S. , Gibbs , E.L. , & Matheson , G.O. ( 2017 ). Optimizing sleep to maximize performance: Implications and recommendations for

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Kirstin Hallmann, Anita Zehrer, Sheranne Fairley and Lea Rossi

identified. Variables of the motivation, commitment, and social capital scales were checked, and less than 10% were missing. Therefore, single imputation based on the regression coefficient was used to enter missing values. All other variables remained in their original state with missing values. The

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Matthew Juravich and Brian M. Mills

AR(1) autoregressive errors. This approach allows imputation of the first observation in the series, despite the autoregressive nature of the model, which provides more useful data in time series that are relatively short in length, as the ones we present here. Yearly trend and indicator variables