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Kelley Pettee Gabriel, Adriana Pérez, David R. Jacobs Jr, Joowon Lee, Harold W. Kohl III and Barbara Sternfeld

, variance inflation factors, condition indices, and tolerance values) were evaluated and found to be acceptable. 28 To conduct the cross-validation, the regression coefficients and corresponding coefficient of determination ( R 2 ) values from the derivation set were retained. Next, a new cross-sectional composite

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Maria-Christina Kosteli, Jennifer Cumming and Sarah E. Williams

low to moderate (all < .07). Moreover, none of the variables has a condition index of above 30 and a variance inflation factor of above 3. Table 1 Means, Standard Deviations, Alpha Coefficients and Correlations Matrix 1 2 3 4 5 6 α 1. Self-regulatory imagery 1 .94 2. Self-efficacy .29 ** 1 .83 3

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Stéphanie Girard, Jérôme St-Amand and Roch Chouinard

expectation–maximization algorithm available in Mplus (version 7.4; Muthen & Muthen, Los Angeles, CA) was applied ( Little & Rubin, 2002 ). Multicollinearity testing gave acceptable values: tolerance was above .2, and variance inflation factor was below 1 ( Field, 2009 ). All variables presented acceptable

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Ross Armstrong, Christopher Michael Brogden and Matt Greig

investigated by calculating the variance inflation factor and tolerance statistic which indicated that multicollinearity was within acceptable levels. 33 – 35 The physiological responses of heart rate and RPE of pooled dancers and hypermobile versus nonhypermobile dancers during the DAFT were analyzed using a

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Thilo Kunkel, Daniel C. Funk and Daniel Lock

 al., 2013 ). The PLS-SEM model was assessed using guidelines recommended by Hair et al. ( 2011 ). To evaluate formative constructs, multicollinearity (each indicator’s variance inflation factor [VIF] < 5; Hair et al., 2011 ) and validity (parameter estimates for each formative indicator should be

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Brendan Dwyer, Joris Drayer and Stephen L. Shapiro

also provided sufficient power. The dependent variable was binary (DFS/no DFS), and the continuous indicators in the model were linear with the logit form of the dependent variable. Potential multicollinearity issues within the model were also examined by investigating variance inflation factors and

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Yuhei Inoue, Mikihiro Sato, Kevin Filo, James Du and Daniel C. Funk

independent and dependent variables helps diminish such inflation by reducing respondents’ ability and motivation to provide similar patterns of responses for both variables ( Podsakoff et al., 2003 ). A time lag of 8 days was deemed appropriate because a shorter time lag would be unlikely to reduce

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Georgios Nalbantis, Marcel Fahrner and Tim Pawlowski

against the unrestricted model’s coefficients. The results of the suest-based Hausman test suggest that the assumption has not been violated. Finally, all variance inflation factors for linear predictor variables are well below 3, not indicating any problem of multicollinearity in our data. Results The

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Chad Seifried, Brian Soebbing and Kwame J.A. Agyemang

recession that began in the mid to late 1970s. High unemployment and inflation and rising debt from shrinking tax bases extended into the 1980s. 75 Resultantly, many cities increased their fees for “city services such as police, garbage collection, and fire and ambulance standbys”, which were necessary for

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Lena Hübner, Solveig Vieluf, Ben Godde and Claudia Voelcker-Rehage

indicating no significant correlation (Table  5 ), was included in the regression analyses because of the high relevance in aging studies and the high age range of 16 years (67–83 years of age) in our sample. The regression models were controlled for multicollinearity by calculating the variance inflation