Toward , this research chosen two categories into the Chengdu Shishi middle school and Jinniu secondary school correspondingly, delivered three hundred forms, retrieved 278 surveys, subtracted 12 incorrect forms and you will 266 good surveys. The newest authoritative studies was complete away from .

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 brazilcupid bilgisayarda kullanımı the scale has good reliability and validity.

Canonical relationship analysis are a mathematical approach always take to the fresh relationship education anywhere between you to number of manage details and something category out-of expectations parameters

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 Statistics

They aims to find the limit relationship involving the linear consolidation from control parameters together with linear mix of standard details. Therefore, canonical correlation research testing the brand new canonical correlation mix of multiple requirement details and numerous control details, Canonical correlation data can create a variety of tall and you can insignificant canonical correlation. Fundamentally, it does supply the following first recommendations: you’re an average correlation coefficient is reflect new relationship degree within linear blend of manage variables additionally the linear integration away from simple parameters. An average relationship coefficient need to started to a significant height to represent the important relationship between the two groups of linear combinations. The second is new judgment coefficient (i.age., the new square worth of regular relationship coefficient R). This means that the normal facts of one’s fundamental varying is also feel informed me of the regular affairs of your own manage varying (for around 10%). The third is the structural coefficient (regular stream). It is intended to manage the fresh new relationship between your adjustable and you may the fresh expectations variable on the respective typical linear combos. The absolute property value the fresh coefficient have to be over 0.30 to describe you to their particular regular linear combinations possess explanatory stamina.