With the , this study selected two categories into the Chengdu Shishi middle school and you may Jinniu middle school respectively, delivered three hundred questionnaires, retrieved 278 forms, deducted a dozen incorrect surveys and 266 good forms. Brand new specialized data are finished 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 research are a mathematical approach always attempt the brand new correlation studies anywhere between one to group of control details and another category out-of standards details

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.

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Statistical Analytics

They aims to discover the maximum relationship amongst the linear consolidation off manage variables and also the linear mix of standard parameters. Thus, canonical correlation research assessment brand new canonical relationship mix of multiple expectations details and several manage parameters, Canonical relationship research can create a variety of extreme and you can unimportant canonical correlation. Generally, it does supply the pursuing the basic information: a person is the common correlation coefficient is also echo new correlation studies within linear blend of handle variables and also the linear integration away from important parameters. The typical relationship coefficient have to started to a serious height to help you portray the significant relationship between them sets of linear combos. The second reason is the fresh wisdom coefficient (we.elizabeth., the brand new rectangular property value typical correlation coefficient Roentgen). It indicates that the normal situations of the basic varying normally be told me from the normal affairs of your own control changeable (for around 10%). The 3rd is the structural coefficient (regular load). It’s designed to control the latest correlation between your variable and you will the fresh new criterion variable on their respective typical linear combos. Absolutely the property value the new coefficient need to be more than 0.29 to describe you to the particular typical linear combos enjoys explanatory fuel.