The new authenticity and you can reliability of your survey was in fact checked and you can remedied in accordance with the pre-take to
To your , this research picked a couple of categories during the Chengdu Shishi secondary school and you may Jinniu middle school correspondingly, marketed 300 forms, recovered 278 questionnaires, subtracted twelve invalid forms and you will 266 appropriate surveys. Brand new specialized research is finished 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 correlation studies is actually an analytical means regularly try the newest relationship training anywhere between you to definitely group of handle details and something group off standard parameters
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 Analytics
They is designed to discover restrict correlation within linear combination out of control parameters additionally the linear combination of standards variables. Therefore, canonical relationship analysis evaluating the canonical relationship combination of multiple criterion variables and you can numerous control variables, Canonical correlation study can produce a variety of high and unimportant canonical correlation. Basically, it will provide the following the very first recommendations: a person is the average relationship coefficient can be echo the fresh correlation studies between the linear mixture of manage variables therefore the linear integration regarding basic parameters. The common correlation coefficient must started to a serious height so you can represent the main correlation between them categories of linear combinations. The second is this new view coefficient (we.elizabeth., the brand new rectangular worth of regular correlation coefficient R). It means the regular points of your own fundamental varying can be be told me of the typical circumstances of handle adjustable (no less than ten%). The 3rd is the structural coefficient meet24 hesap silme (normal load). It’s meant to handle new correlation amongst the variable and you may the newest standard adjustable to their particular regular linear combos. Absolutely the worth of the coefficient must be more 0.31 to describe that the respective regular linear combinations possess explanatory power.