Search Results

You are looking at 41 - 50 of 129 items for :

  • "inflation" x
Clear All
Restricted access

Leigh Gabel, Heather M. Macdonald, Lindsay Nettlefold and Heather A. McKay

regions at follow-up due to growth in bone area. Third, total volume of VPA and VPA bout frequency were highly correlated; however, we do not believe our findings were impacted by collinearity, as variance inflation factor was 7.5 for model 4 that included both variables, whereas collinearity is typically

Restricted access

Adrien Bouchet, Thomas W. Doellman, Mike Troilo and Brian R. Walkup

, where a direct competitor is determined by the relative size of the two sponsors involved in the deal. The largest sponsoring firms in the sample, which are referred to as the “Goliaths,” include companies with a market capitalization (inflation adjusted in 2010 U.S. dollars) of $10 billion at the time

Restricted access

Katherine L. Downing, Jo Salmon, Anna Timperio, Trina Hinkley, Dylan P. Cliff, Anthony D. Okely and Kylie D. Hesketh

in model 2 was tested using tolerance and variance inflation factors. No issues with collinearity were identified (variance inflation factor <10). Given that correlates of sitting and screen time are likely to differ on week and weekend days and for boys and girls, analyses were stratified by week

Restricted access

Jeffrey Martin, Mario Vassallo, Jacklyn Carrico and Ellen Armstrong

 = .97) was strong suggesting high interrater reliability. Prior to running the regression analyses, tolerance (.90–.96) and variance inflation factors (1.04–1.12) ranges were examined, suggesting that there was no evidence of multicollinearity as tolerance was under one and variance inflation factors

Restricted access

Christopher Rumpf and Christoph Breuer

.047 .316 1.023  Attitude toward team/athlete – – −0.053 .267 1.060 Note. VIF = variance inflation factor. Method: stepwise; dependent variable: brand attention; cases included in the model: 323; model fit: F  = 49.135 ( p  < .001), R 2  = .316. The model turned out to be highly significant ( F  = 49

Restricted access

Tanya R. Berry, Wendy M. Rodgers, Alison Divine and Craig Hall

with tolerance scores and variance inflation factors. Results Data were screened for outliers, and there were several participants with implicit evaluation scores >3 SD s from the mean ( n  = 3) or who were missing implicit evaluation data at baseline due to a large number of errors ( n  = 17). These

Restricted access

Christopher Napier, Christopher L. MacLean, Jessica Maurer, Jack E. Taunton and Michael A. Hunt

transient was explained by heel to center of mass distance, with shorter distances associated with higher magnitudes. Excessive multicollinearity was not observed in any model (Table  4 ; variance inflation factor <10). Residual analyses indicated that all data were consistent with the assumptions of linear

Restricted access

Pedro Teques, Luís Calmeiro, Henrique Martins, Daniel Duarte and Nicholas L. Holt

.12) exceeded the expected values for the multivariate normality. Hence, a Bollen–Stine bootstrap was used for subsequent analysis ( Nevitt & Hancock, 2001 ). In addition, variance inflation factors were assessed to verify collinearity within all study variables, with values ranging from 1.23 (self

Restricted access

Evelia Franco, Javier Coterón, Elisa Huéscar and Juan A. Moreno-Murcia

assumptions of collinearity. The variance inflation factor values ranged from 1.17 to 2.10, and the tolerances ranged from 0.478 to 0.858, well outside the thresholds of >4 and <0.10, respectively, considered indicative of likely multicollinearity ( O’Brien, 2007 ). Aiming to obtain different groups, and

Restricted access

Gregory W. Heath and John Bilderback

1 V Selected Economic Characteristics, 2006-10 ACS 5-year estimates ( https://www.census.gov/programs-surveys/acs/ ) VI Median Income in the past 12 months (in 2010 inflation-adjusted dollars) 2006-10 ACS 5-year estimates ( https://www.census.gov/programs-surveys/acs/ ) VII Total Population 2010