Toward , this study selected several groups inside Chengdu Shishi secondary school and Jinniu middle school respectively, delivered 300 forms, retrieved 278 questionnaires, subtracted a dozen invalid questionnaires and you can 266 valid surveys. Brand new formal studies try completed 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 analysis try an analytical approach always take to the new relationship degree between you to group of manage details and another class 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.
Statistical Statistics
It will select the limit relationship between your linear integration out-of manage details and also the linear mix of expectations details. For this reason, canonical relationship analysis examination the fresh new canonical correlation mixture of several standards details and multiple handle parameters, Canonical correlation analysis can cause a mix of high and you can unimportant canonical correlation. Basically, it does deliver the pursuing the earliest recommendations: you’re an average correlation coefficient normally reflect brand new correlation knowledge amongst the linear blend of manage parameters while the linear combination out-of practical parameters. The typical relationship coefficient have to arrive at a significant peak in order to portray the significant correlation among them sets of linear combinations. The second is new view coefficient (i.age., new square value of normal relationship coefficient R). It indicates your typical items lumen dating arkadaÅŸlık sitesi of your standard varying is end up being informed me by normal products of your manage changeable (no less than 10%). The third is the structural coefficient (typical load). It is meant to control the new relationship between the variable and the newest requirement adjustable to their particular regular linear combinations. Absolutely the value of this new coefficient must be more than 0.29 to explain one the respective typical linear combinations have explanatory power.
