On the , this study chosen two groups for the Chengdu Shishi middle school and you will Jinniu middle school correspondingly, delivered 300 forms, retrieved 278 surveys, subtracted twelve incorrect surveys and you can 266 good questionnaires. New certified data is actually accomplished 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 research is a statistical strategy regularly attempt the fresh relationship education between one to number of manage variables plus one classification from requirement 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.
Analytical Statistics
They will discover the restriction relationship between the linear integration out-of manage parameters and also the linear mixture of standards variables. Thus, canonical relationship research testing the canonical correlation combination of several standard details and numerous handle details, Canonical correlation studies can cause a mix of high and you can unimportant canonical relationship. Essentially, chatango püf noktaları it can deliver the following the basic pointers: a person is the common correlation coefficient is also echo the brand new correlation studies between the linear combination of manage variables together with linear consolidation away from standard details. The average correlation coefficient need visited a critical peak in order to portray the main correlation between the two categories of linear combinations. The second reason is the view coefficient (we.age., the fresh rectangular worth of normal relationship coefficient Roentgen). It means that typical issues of your own basic variable can also be be told me because of the regular items of your manage variable (for around 10%). The third ‘s the architectural coefficient (typical load). It is meant to manage the brand new correlation between the variable and you can the expectations variable on the respective typical linear combos. The absolute worth of brand new coefficient must be more 0.30 to explain you to its particular typical linear combinations keeps explanatory stamina.
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