To your , this research chosen a couple categories in Chengdu Shishi middle school and you can Jinniu secondary school respectively, distributed three hundred surveys, retrieved 278 questionnaires, deducted several invalid surveys and you will 266 appropriate forms. This new official studies was completed 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 relationship data was an analytical means used to attempt brand new correlation training ranging from you to definitely set of control details and one classification away from standard 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.

Mathematical Analytics

They will discover the maximum relationship involving the linear consolidation off manage parameters as well as the linear blend of standards variables. Thus, canonical correlation analysis screening the new canonical correlation mix of several traditional parameters and you can multiple manage variables, Canonical correlation investigation can cause a variety of significant and you will unimportant canonical correlation. Fundamentally, it can provide the pursuing the basic information: one is the common correlation coefficient can also be mirror the brand new relationship knowledge within linear blend of handle parameters and the linear consolidation out of simple details. The typical correlation coefficient need reach a serious top in order to represent the important correlation between them categories of linear combos. The second reason is the newest view coefficient (we ilove nasıl kullanılır.elizabeth., this new rectangular property value normal relationship coefficient Roentgen). It means the typical things of your simple changeable is be informed me by the normal issues of one’s manage variable (no less than 10%). The next is the architectural coefficient (regular load). It is meant to handle the fresh new relationship involving the changeable and you can the newest standards varying on their particular typical linear combos. The absolute worth of brand new coefficient should be more 0.31 to spell it out that their respective regular linear combos possess explanatory fuel.