Towards , this study selected one or two groups when you look at the Chengdu Shishi secondary school and Jinniu secondary school respectively, delivered 3 hundred forms, retrieved 278 forms, subtracted a dozen incorrect forms and 266 legitimate questionnaires. The newest authoritative studies are complete out-of .

Exploratory factor analysis (EFA) showed that the sports leisure attitude scale with 16 items was suitable for factor analysis (KMO = 0.87, Bartlett’s test for sphericity p < 0.001), and three common factors could be extracted, and the corresponding Cronbach' ? coefficients were 0.84, 0.81, and 0.83 respectively. In addition, the overall scale ? coefficient = 0.85; Confirmatory factor analysis (CFA) showed that the fitness indexes AGFI, CFI, NFI, and IFI were 0.92, 0.95, 0.93, and 0.91, which were all greater than the standard of 0.90, RMSEA = 0.03 (less than 0.05, with good adaptation); In addition, the combined reliability of the three common factors (potential variables) is more than 0.79, which shows that the scale has good reliability and validity.

Canonical correlation investigation is a statistical approach accustomed decide to try the brand new dil mil nedir relationship education between you to selection of control parameters and another group away from traditional variables

Exploratory factor analysis showed that the leisure motivation scale with 21 items was suitable for factor analysis (KMO = 0.78, Bartlett’s test for sphericity p < 0.001). The scale could extract 4 common factors, corresponding to Cronbach' ? coefficient is between 0.79–0.85, and the overall scale ? Coefficient = 0.88; Confirmatory factor analysis showed that the fitness indexes AGFI, CFI, NFI, and IFI were 0.91, 0.92, 0.92, and 0.93, which were all greater than the standard of 0.90, RMSEA = 0.04 (less than 0.05, good adaptation); In addition, the combined reliability of the four dimensions (potential variables) is more than 0.81, which shows that the reliability and validity of this scale are good.

Exploratory factor analysis showed that the leisure barriers scale with 17 items was suitable for factor analysis (KMO = 0.85, Bartlett ball test p < 0.001). The scale could extract three common factors, corresponding to Cronbach' ? coefficient is between 0.82–0.86, and the overall scale ? Coefficient = 0.85; Confirmatory factor analysis showed that the fitness indexes AGFI, CFI, NFI, and IFI were 0.94, 0.90, 0.91, and 0.93, which were all greater than the standard of 0.90, RMSEA = 0.02 (less than 0.05, good adaptation); In addition, the combined reliability of the three dimensions (potential variables) is more than 0.79, which shows that the reliability and validity of this scale are good.

Exploratory factor analysis showed that the leisure satisfaction scale with 25 items was suitable for factor analysis (KMO = 0.82, Bartlett’s test for sphericity p < 0.001). The scale could extract 6 common factors, corresponding to Cronbach' ? coefficient is between 0.81–0.86, and the overall scale ? Coefficient = 0.84; Confirmatory factor analysis showed that the fitness indexes AGFI, CFI, NFI, and IFI were 0.91, 0.93, 0.95, and 0.92 in order, which was all greater than the standard of 0.90, RMSEA = 0.03 (less than 0.05, good adaptation); In addition, the combined reliability of the six dimensions (potential variables) is more than 0.81, which shows that the reliability and validity of this scale are good.

Analytical Analytics

It aims to discover restriction correlation involving the linear combination out of handle details and the linear blend of expectations variables. Hence, canonical relationship study assessment the newest canonical relationship mix of numerous criterion details and numerous manage variables, Canonical relationship study can make a mix of high and you may unimportant canonical correlation. Fundamentally, it will deliver the after the first information: one is an average relationship coefficient is also echo this new relationship studies within linear blend of manage parameters as well as the linear consolidation out-of standard details. The typical correlation coefficient need to arrive at a significant peak to help you show the key correlation between them sets of linear combos. The second is the view coefficient (we.age., the fresh new square property value regular correlation coefficient R). This means that regular items of your simple variable is also getting informed me of the typical circumstances of your handle changeable (no less than ten%). The third ‘s the structural coefficient (regular load). It’s meant to control this new correlation involving the varying and brand new standard changeable to their particular typical linear combinations. Absolutely the property value the new coefficient need to be more 0.31 to explain that their respective normal linear combinations enjoys explanatory strength.