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Leilani A. Madrigal, Vincenzo Roma, Todd Caze, Arthur Maerlender and Debra Hope

comparisons with the Bonferonni correction to correct for alpha inflation (e.g.,  p  <.003). The SAS-2 total score and subscales were substantially correlated with anxiety sensitivity, fear of negative evaluation, intolerance of uncertainty, and negative affect in the expected direction as evidence for

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Judy L. Van Raalte, Allen E. Cornelius, Elizabeth M. Mullin, Britton W. Brewer, Erika D. Van Dyke, Alicia J. Johnson and Takehiro Iwatsuki

type i error inflation . Journal of Experimental Psychology: General, 145 , 643 – 654 . doi:10.1037/xge0000159 10.1037/xge0000159 Van Raalte , J.L. , Vincent , A. , & Brewer , B.W. ( 2016 ). Self-talk: Review and sport-specific model . Psychology of Sport & Exercise, 22 , 139 – 148 . doi

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Stephen Hunter, Andrei Rosu, Kylie D. Hesketh, Ryan E. Rhodes, Christina M. Rinaldi, Wendy Rodgers, John C. Spence and Valerie Carson

characteristics. Continuous variables were checked for outliers (exceeding ± 3 SDs) and truncated where necessary. Multicollinearity was assessed among independent variables by checking variance inflation factors. For the main objective, simple linear regressions were first performed using the MIXED procedure

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Namkee G. Choi, Diana M. DiNitto, John E. Sullivan and Bryan Y. Choi

this group. Variance inflation factor diagnostics, using a cutoff of 2.50 ( Allison, 2015 ), showed that multicollinearity was not a concern. Multinomial logistic regression results are presented as relative risk ratios with 95% CIs, and binary logistic regression results are presented as adjusted odds

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Mindy Patterson, Wanyi Wang and Alexis Ortiz

females, respectively. The residuals in the dependent variable were approximately normally distributed. Multicollinearity assumptions using tolerance and variance inflation factor (VIF) were also tested. In the present study, tolerance < 0.10 or VIF > 10 was considered multicollinearity. The following

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Tsz Lun (Alan) Chu, Tao Zhang, Katherine T. Thomas, Xiaoxia Zhang and Xiangli Gu

Endurance Run. * p  < .05. ** p  < .01. *** p  < .001. All assumptions for correct specification of the regression models were met, and no multicollinearity was observed with the diagnostics of variance inflation factors (<10), tolerance (>.10), and condition numbers (κ < 30). It is important to note that

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Chien-Chih Chou, Kuan-Chou Chen, Mei-Yao Huang, Hsin-Yu Tu and Chung-Ju Huang

significant interaction effects that were identified, whereas multiple comparisons were used to follow-up on any significant main effects. To control for experiment-wise inflation of α, additional Bonferroni adjustments were made. Small to moderate ESs were observed for each of the EF domains of interest (0

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Jakob Tarp, Anna Bugge, Niels Christian Møller, Heidi Klakk, Christina Trifonov Rexen, Anders Grøntved and Niels Wedderkopp

indication of problematic collinearity was detected (variance inflation factors did not exceed 1.92) and estimates were robust to removal of observations with standardized residuals above/below 2 SD. As the primary outcome we created a standardized composite score 25 of the cardiometabolic risk factors

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Nadia Cristina Valentini, Glauber Carvalho Nobre, Mariele Santayana de Souza and Michael J. Duncan

variance inflation factor was used to investigate the multicollinearity of the data, with values >10 considered an indicator of multicollinearity 39 ; P  < .05 considered as significant. Results Outliers were not detected in the Mahalanobis squared distance test. Furthermore, the results obtained from the

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Bryan E. Denham

interactions. The study checked for multicollinearity using variance inflation factors (VIFs), requiring the VIF for each independent variable to appear between 1.0 and 10.0. For the second set of analyses, the study included sports in which members of racial and ethnic minorities did and did not participate