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John Charles Bradbury

is not particularly sensitive to outcome uncertainty. In total, the recent studies of MLS indicate that outcome uncertainty is not a primary driver of fan interest in MLS. Overall, the correlation between consumer demand for spectator sports and team performance is robustly positive in most

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Kyungyeol (Anthony) Kim, Kevin K. Byon and Paul M. Pedersen

correlation values are lower than the AVE estimates ( Fornell & Larcker, 1981 ). To examine the hypotheses, we used Hayes’s ( 2013 ) PROCESS macro (Model 4) to test multiple mediating effects of coping strategies. PROCESS enables estimations of indirect effects with a bootstrapping procedure, which provides a

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Yong Jae Ko, Yonghwan Chang, Wonseok Jang, Michael Sagas and John Otto Spengler

. Table 2 Factor Correlations Matrix Factors 1 2 3 4 5 6 7 8 9 10 11 12 Extraversion .65 a                       Agreeableness .59*** .47 a                     Conscientiousness .38*** .78*** .57 a                   Neuroticism .04 −.10 −.03 .72 a                 Openness .50*** .56*** .60*** .12* .51 a

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Elizabeth A. Taylor, Matt R. Huml and Marlene A. Dixon

) model of the latent variables ( Kline, 1998 ; Raykov & Marcoulides, 2006 ). We constructed an analysis of the proposed model using AMOS 24 (IBM, Armonk, NY). Prior to beginning the structural equation modeling analysis, we calculated bivariate correlations across each of the scaled measures. See Table

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Akira Asada, Yong Jae Ko and Wonseok (Eric) Jang

.919 to .961. The AVE values ranged from .764 to .834. Additionally, the correlations between latent variables ranged from .061 to .703, and every squared correlation was found to be smaller than the lowest AVE value (Table  3 ). Therefore, we concluded that the convergent and discriminant validity of

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Yongjae Kim, Soojin Kim and Elizabeth Rogol

squared correlation between one construct and any other is lower than the AVE for each construct. The results of the AVE test of discriminate validity (see Table  3 ) clearly indicate that the seven constructs are distinctive from each other. In sum, based on the overall results of the CFA, it is deemed

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James Du, Heather Kennedy, Jeffrey D. James and Daniel C. Funk

recommended benchmark of 0.80 ( Cicchetti, 1994 ). Factorial validity First, the results as shown in the correlation matrix (Table  3 ) revealed that the correlations among all latent constructs were well below the .90 threshold ( Ross et al., 2006 ). Second, the square root of the average variance extracted

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Travis R. Bell and Karen L. Hartman

 = 319.70). Independent t tests compared the four summary variables between newspapers and sports websites. Results from the quantitative analysis did not identify any statistically significant differences across all four summary variables. Pearson product–moment correlations tested for a relationship

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Chih-Yen Chang and Tsung-Min Hung

possible moderators such as skill level. Although not directly related to frontal alpha findings, a previous study showed a negative correlation between performance and EEG dimensional complexity, a measure of neural assembly activation in which higher complexity indicates higher neural assembly activation

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Adam D.G. Baxter-Jones

have effects on a child’s phenotype. A genetic effect is associated with a gene or set of genes encoded in the DNA of the chromosomes in the nucleus of the cells. Parent–child studies of stature have shown that parent–child correlations at birth are low but increase progressively with age, reaching .50