The new authenticity and you can reliability of the questionnaire was basically checked out and corrected according to the pre-decide to try

Towards , this research picked two classes during the Chengdu Shishi secondary school and you will Jinniu secondary school correspondingly, distributed 300 questionnaires, retrieved 278 questionnaires, deducted a dozen incorrect forms and you will 266 valid forms. The new formal data is done regarding .

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 https://datingranking.net/tr/fetlife-inceleme/ three common factors (potential variables) is more than 0.79, which shows that the scale has good reliability and validity.

Canonical relationship research try a statistical means regularly shot the new correlation education ranging from you to group of control variables and something category of requirement 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.

Statistical Analytics

They is designed to find the restriction relationship within linear combination regarding manage details and linear mix of standards details. Therefore, canonical correlation studies examination the fresh new canonical correlation blend of multiple criterion details and you can several manage variables, Canonical correlation study can make a variety of tall and you may unimportant canonical correlation. Generally, it does deliver the pursuing the very first information: a person is the average relationship coefficient is also mirror the latest correlation education amongst the linear mixture of manage details plus the linear combination regarding fundamental variables. The average relationship coefficient have to arrive at a life threatening peak so you’re able to represent the important relationship between the two groups of linear combos. The second reason is this new wisdom coefficient (i.elizabeth., the brand new rectangular value of typical relationship coefficient R). It means that typical facts of your own basic changeable can become explained because of the normal issues of your handle varying (no less than 10%). The next ‚s the structural coefficient (typical load). It is meant to manage brand new correlation amongst the adjustable and you will the fresh requirement varying on the respective typical linear combinations. Absolutely the property value the new coefficient need to be more 0.30 to spell it out you to definitely the respective regular linear combinations possess explanatory strength.