Into , this study chose hookup several categories when you look at the Chengdu Shishi middle school and you can Jinniu secondary school respectively, delivered 300 questionnaires, retrieved 278 questionnaires, subtracted a dozen invalid forms and you may 266 good surveys. The brand new specialized studies try done out-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 study are a statistical method regularly decide to try the newest correlation knowledge between one set of control parameters and one category out of expectations 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.
Mathematical Analytics
They is designed to discover the maximum correlation between your linear combination out-of manage details in addition to linear mixture of standard parameters. Therefore, canonical relationship investigation tests the fresh canonical relationship combination of several expectations parameters and you will multiple manage parameters, Canonical relationship studies can cause a mixture of significant and you may insignificant canonical relationship. Essentially, it will provide the pursuing the very first guidance: one is the common relationship coefficient can echo brand new relationship knowledge within linear mixture of manage variables while the linear consolidation out of simple variables. The average relationship coefficient need certainly to come to a critical height so you can portray the key relationship among them groups of linear combos. The second is this new view coefficient (i.elizabeth., the newest rectangular worth of typical correlation coefficient R). This means your normal situations of your own basic changeable normally be told me by the typical products of one’s control varying (for around 10%). The next ‘s the structural coefficient (regular load). It’s meant to manage the newest relationship amongst the variable and the fresh standards changeable to their particular typical linear combinations. Absolutely the value of the fresh new coefficient have to be more 0.29 to spell it out that its respective typical linear combos have explanatory fuel.