Toward , this research chosen a couple categories in the Chengdu Shishi secondary school and you can Jinniu secondary school respectively, delivered 300 questionnaires, retrieved 278 forms, subtracted twelve incorrect surveys and you may 266 valid forms. New certified analysis is accomplished 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 research is actually an analytical method familiar with attempt the fresh correlation education ranging from you to definitely selection of manage parameters plus one classification out-of standard variables
Exploratory factor analysis showed that the leisure motivation scale with 21 items was suitable for factor analysis (KMO dine app ücretsiz = 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.
Analytical Statistics
They aims to get the maximum relationship within linear consolidation regarding control details while the linear mixture of expectations details. Ergo, canonical correlation research evaluating the brand new canonical relationship mixture of several expectations variables and you may numerous handle details, Canonical correlation analysis can produce a mixture of tall and you will unimportant canonical correlation. Essentially, it will supply the after the first guidance: you’re the common relationship coefficient can be reflect the fresh correlation knowledge within linear mixture of control parameters plus the linear consolidation from practical parameters. An average correlation coefficient need to visited a life threatening level in order to depict the main correlation among them sets of linear combos. The second is brand new judgment coefficient (i.e., the brand new square value of regular relationship coefficient Roentgen). This means that typical factors of the basic variable is also getting told me by normal circumstances of the control varying (for around 10%). The next is the structural coefficient (typical weight). It’s meant to handle the newest relationship within variable and you can the fresh new standards varying on their respective normal linear combinations. The absolute worth of the fresh new coefficient must be more 0.30 to describe one their particular typical linear combinations keeps explanatory power.