For the , this research chosen several categories for the Chengdu Shishi secondary school and you may Jinniu middle school respectively, distributed 300 questionnaires, retrieved 278 questionnaires, deducted 12 incorrect surveys and 266 legitimate surveys. This new official research are accomplished 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 the scale has good reliability and validity.
Canonical relationship data are an analytical means familiar with try the fresh new correlation knowledge anywhere between one number of manage details and one class out of criterion 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 bicupid indir 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 is designed to select the limit correlation amongst the linear combination away from handle variables together with linear combination of requirement variables. For this reason, canonical correlation studies assessment the newest canonical relationship blend of numerous standards details and you will numerous control variables, Canonical relationship data can make a variety of tall and you will unimportant canonical relationship. Basically, it can deliver the following earliest advice: a person is the common relationship coefficient can echo the fresh new correlation education between your linear combination of handle details while the linear consolidation away from basic details. The typical correlation coefficient need to arrive at a life threatening height to show the key correlation between the two groups of linear combinations. The second reason is the view coefficient (we.e., brand new rectangular worth of regular correlation coefficient R). It indicates that typical activities of practical adjustable can also be feel informed me by normal items of the handle changeable (not less than 10%). The third ‘s the structural coefficient (typical load). It’s designed to control the correlation between your adjustable and you can the brand new expectations adjustable to their respective regular linear combinations. The absolute worth of the fresh new coefficient must be over 0.30 to spell it out one to its respective normal linear combos has actually explanatory stamina.
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