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Jeffrey J. Milroy, Stephen Hebard, Emily Kroshus and David L. Wyrick

subscales, variance inflation factors (VIFs) were examined. The threshold for identifying collinearity between CAAS constructs was a VIF greater than 10 ( Belsley, Kuh, & Welsch, 1980 ). Next, binomial logistic regression was used to assess if coach-athlete attachment subscales significantly contribute to

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Bethany Forseth and Stacy D. Hunter

relationship as exercise in heated conditions has been associated with higher heart rate responses in the absence of alterations in oxygen consumption. 36 Yoga is an activity in which postures can be held for a minute or longer. This characteristic may result in an inflation in the heart rate response but not

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Kyle Bunds and Jonathan Casper

pollution is one of the three things they are most concerned about ( Kenyon, 2017 ). As Kenyon reports “this is up from 26% in 2011 and is now the #3 concern behind ‘money enough to live right and pay the bills’ (36% in 2016) and ‘inflation and high prices’” (35% in 2016). As noted above, there is good

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Estela Farías-Torbidoni and Demir Barić

inflation factor (values above 10) indicated no risk of collinearity among the predictor variables. 31 Results Descriptive Analysis As presented in Table  2 , the majority of individuals were from the Catalonia region (77.4%), were males (67.8%), middle-aged (51%), and had a university degree (51, 4%). Over

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Estela Farías-Torbidoni, Demir Barić and Sebastià Mas-Alòs

sociodemographic and trip descriptors on the group membership, a series of logistic regression analyses were performed. Independent nominal variables were recoded as dummy variables. The independent variables entered into each model were evaluated for possible collinearity; the tolerance and variation inflation

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Pak-Kwong Chung and Ka-Man Leung

score ± 4.0) were identified. All items’ skewness and kurtosis and their variance inflation factors were less than four (−.63–1.14) and 10 (1.38–4.89), respectively, indicating that the data distribution was univariate normal and no multicollinearity was identified. However, in Study 2, three

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You Fu and Ryan D. Burns

the number of comparisons) for the primary analyses to adjust for potential type I error inflation. All analyses were carried out using STATA v14.0 statistical software package (StataCorp LLC, College Station, TX). Results Girls in this sample were heavier (mean difference = 4.6 kg, P  = .02) and had

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Colin D. McLaren and Kevin S. Spink

conflict and, to a lesser degree, with information-exchange communication (see Table  1 for correlations). As such, a decision was made to remove this communication type from further analyses to reduce redundancy in the regression equation and avoid the artificial inflation of standard errors ( Tabachnick

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Meera Sreedhara, Karin Valentine Goins, Christine Frisard, Milagros C. Rosal and Stephenie C. Lemon

variance inflation factors (>10). Model fit was assessed using the Hosmer–Lemeshow test. We used Stata for all analyses (version 13.1; StataCorp LP, College Station, TX). Results The survey response rate was 30.2% (209/693). Of the LHDs that completed the survey, we excluded LHDs missing data on CHIP

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Nicola Giovanelli, Lea Biasutti, Desy Salvadego, Hailu K. Alemayehu, Bruno Grassi and Stefano Lazzer

inflation (at 300–350 mm Hg), maintained until Δ[deoxy(Hb+Mb)] reached a plateau. Δ[deoxy(Hb+Mb)] kinetics during the incremental tests were fitted by a sigmoid function, as previously presented by other authors and by our group. 14 , 18 Then, we calculated mean values of cardiorespiratory and muscle