The <a href="https://datingranking.net/tr/beetalk-inceleme/">beetalk hesap silme</a> fresh new authenticity and you will reliability of your questionnaire have been checked and remedied according to research by the pre-decide to try

Toward , this study selected two kinds inside Chengdu Shishi middle school and you can Jinniu secondary school respectively, distributed 3 hundred surveys, retrieved 278 forms, subtracted 12 incorrect questionnaires and you may 266 valid surveys. New certified data is actually complete 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 investigation is a statistical means regularly test the fresh correlation knowledge between you to selection of manage parameters and something class of traditional 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 is designed to get the limit relationship between your linear integration of control variables and linear blend of requirement variables. Ergo, canonical correlation research assessment new canonical correlation mix of multiple criterion parameters and numerous control variables, Canonical correlation analysis can produce a mixture of tall and you will unimportant canonical correlation. Generally, it will deliver the following the basic recommendations: one is the average relationship coefficient normally reflect the fresh new correlation training between your linear combination of control parameters additionally the linear combination of simple parameters. An average relationship coefficient have to reach a life threatening top in order to portray the key correlation between the two groups of linear combinations. The second reason is this new view coefficient (i.age., the newest rectangular property value regular correlation coefficient Roentgen). It indicates that the normal factors of the standard varying can end up being explained by the regular activities of the manage changeable (not less than 10%). The next ‘s the architectural coefficient (normal stream). It’s designed to handle the fresh new relationship between your adjustable and you will the fresh new standards variable on their particular regular linear combinations. Absolutely the property value the fresh new coefficient should be more 0.30 to explain you to definitely their particular regular linear combos features explanatory power.