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Gil Rodas, Lourdes Osaba, David Arteta, Ricard Pruna, Dolors Fernández and Alejandro Lucia

first examined the association between SNPs and tendinopathy risk in a hypothesis-free case-control GWAS. Thereafter, we augmented the SNP set by performing synthetic variant imputation and then used ML-based multivariate modeling. Methods Design We used 2 research lines to evaluate the effect of

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Tim Op De Beéck, Arne Jaspers, Michel S. Brink, Wouter G.P. Frencken, Filip Staes, Jesse J. Davis and Werner F. Helsen

steps before application of gradient-boosted regression tree. EL indicates external load; IL, internal load. a Used to compute cumulative EL and IL. b Reasonable data imputation not possible. First, perceived wellness scores were not reported on most rest and match days. Consequently, FPW value on

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Nicole D. Bolter, Lindsay Kipp and Tyler Johnson

(i.e., less than 5%). Since there was no discernable pattern of the missing values, missing data were deemed missing completely at random (MCAR) and mean imputation was used in favor of listwise deletion ( Tabachnick & Fidell, 2007 ). All values of skewness (<|3.0|) and kurtosis (<|8.0|) were

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Erika D. Van Dyke, Judy L. Van Raalte, Elizabeth M. Mullin and Britton W. Brewer

particular need for mental focus on the beam ( Bannon, 2016 ). Statistical Analyses Once exclusion criteria were applied, it was found that 16 participants omitted a combined total of 20 items from the self-talk measures. The maximum number of participants missing any single item was two. Mean imputation

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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

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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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Jeffrey Martin, Mario Vassallo, Jacklyn Carrico and Ellen Armstrong

imputation for five missing data points on the judge’s ratings of emotion was used. With this very low percentage of missing data, this approach is acceptable over more contemporary approaches such as multiple imputation ( Schafer, 1999 ; Schlomer, Bauman, & Card, 2010 ). We also calculated interrater

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Chunxiao Li, Ngai Kiu Wong, Raymond K.W. Sum and Chung Wah Yu

through a single imputation using an expectation–maximization algorithm, χ 2 (629) =629.30, p  = .49 ( Little, 1998 ). The means, SD s, internal reliability, and zero-order correlations of the study variables were computed after cleaning the data. All these statistical analyses were performed with IBM

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Terese Wilhelmsen, Marit Sørensen and Ørnulf N. Seippel

platforms for the analyses. To handle missing values in the data, we used the R package “Multivariate Imputation by Chained Equations (MICE)” ( Van Buuren & Groothuis-Oudshoorn, 2011 ). To perform the two-step fsQCA analyses ( Schneider & Wagemann, 2006 ), we used the R package “QCAQUI” ( Dusa, 2007