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Dylan O. Blain, Thomas Curran and Martyn Standage

pattern of physical literacy scores, for the participants only missing the pedometer step count score, a fractional imputation method was used. Here, the overall physical literacy score (out of 100) was determined by dividing the total score recorded from the completed protocols by the maximum possible

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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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Jennifer Brunet, Eva Guérin and Nicolas Speranzini

violation of assumptions using IBM SPSS Statistics software (version 23; IBM Corporation, Armonk, NY) following procedures outlined by Tabachnick and Fidell ( 2007 ). Multiple imputation was performed to impute missing sociodemographic data given the low degree of missingness (< 5%). Four univariate

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Guohua Zheng, Xin Zheng, Junzhe Li, Tingjin Duan, Kun Ling, Jing Tao and Lidian Chen

fixed effect and participant as a random variable. The baseline data and comparison group were used as the reference values. A fully unstructured variance–covariance matrix was assumed for the error terms. Missing data were imputed using a multiple imputation method based on a fully conditional

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Samantha M. Gray, Joan Wharf Higgins and Ryan E. Rhodes

qualitative findings according to the sequential explanatory mixed methods design. Quantitative analyses Prior to running any quantitative analyses, the data were evaluated for missingness. As Little’s test was nonsignificant (χ 2  = 0.000, df  = 44, p  = 1.00), the data could undergo multiple imputations

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Shelby Waldron, J.D. DeFreese, Brian Pietrosimone, Johna Register-Mihalik and Nikki Barczak

were missing for 12 variables, however, missing cases did not exceed 5% for any one variable so mean imputation was utilized. Data were collected from 249 participants, however, six cases were removed from analysis due to conflicting responses on specialization grouping variables ( n  = 5) and

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Victoria McGee and J.D. DeFreese

as a cut-off criterion for acceptability. Descriptive statistics and scale reliabilities were calculated for all study variables at every time point. Missing data from a completed assessment wave were replaced via mean imputation. Multilevel linear modeling (MLM; Singer & Willett, 2003 ) using

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Yuri Alberto Freire, Geovani de Araújo Dantas de Macêdo, Rodrigo Alberto Vieira Browne, Luiz Fernando Farias-Junior, Ágnes Denise de Lima Bezerra, Ana Paula Trussardi Fayh, José Cazuza de Farias Júnior, Kevin F. Boreskie, Todd A. Duhamel and Eduardo Caldas Costa

trapezoidal method using the GraphPad Prism (version 6) for Windows (GraphPad Software ® , San Diego, CA). Intention-to-treat principle was used for analyses; that is, data from participants who completed only 1 or 2 experimental sessions were included in the final analysis without data imputation

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Zachary Y. Kerr, Andrew E. Lincoln, Shane V. Caswell, David A. Klossner, Nina Walker and Thomas P. Dompier

of each category AE count do not equal total AE count due to rounding error (due to the use of mean imputation values based on all other valid AE data from the same year, division, and event type for missing data). Table 2 Injury Frequencies and Rates With 95% Confidence Intervals (CI) by Season and

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José-Antonio Cecchini, Antonio Méndez-Giménez and Beatriz Sánchez-Martínez

imputation process, and its estimates are the least biased ( Schafer & Graham, 2002 ). Measurements and Instruments Types of motivation The Perceived Locus of Causality Questionnaire ( Goudas, Biddle, & Fox, 1994 ) was used; we selected the version adapted and validated in Spanish by Moreno, González