Into the , this study selected a couple of categories into the Chengdu Shishi secondary school and you may Jinniu middle school correspondingly, distributed 3 hundred surveys, recovered 278 questionnaires, subtracted several invalid questionnaires and you will 266 valid forms. The brand new certified research is finished 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 correlation analysis try an analytical strategy accustomed shot new relationship education ranging from you to set of handle details and another classification away from expectations 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 is designed to get the limitation correlation involving the linear combination regarding control details and also the linear mix of criterion variables. Thus, canonical correlation investigation screening brand new canonical relationship mixture of numerous traditional details and you can several manage variables, Canonical relationship studies can make a variety of high and insignificant canonical relationship. Essentially, it will deliver the following the basic recommendations: you’re an average correlation coefficient is echo the fresh correlation knowledge between the linear combination of manage details and the linear combination away from fundamental variables. An average correlation coefficient must visited a life threatening top to help you show the key relationship between the two sets of linear combos. The second is new wisdom coefficient (we.e., the latest square property value typical relationship coefficient R). This means the typical situations of the practical variable is become told me because of the typical points of handle changeable (no less than ten%). The third is the structural coefficient catholicmatch apk (normal load). It’s intended to manage the latest relationship amongst the changeable and you may new requirement changeable on the respective typical linear combos. The absolute worth of the latest coefficient must be over 0.31 to spell it out that their particular regular linear combinations features explanatory power.
