The shape you will pull 6 preferred issues, equal to Cronbach’ ? coefficient was ranging from 0
For the , this research selected several kinds in the Chengdu Shishi middle school and Jinniu secondary school respectively, distributed 300 questionnaires, retrieved 278 surveys, subtracted 12 incorrect questionnaires and you will 266 good surveys. The new official analysis was complete regarding .
Exploratory factor https://datingranking.net/it/lgbt-it/ 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.
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). 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
Canonical correlation research try a mathematical strategy familiar with test the new relationship studies ranging from you to definitely group of handle variables and another classification regarding standards details. It will select the restriction relationship involving the linear integration from control parameters and the linear mixture of requirement variables. Ergo, canonical relationship data evaluating the latest canonical relationship mixture of multiple requirement parameters and you may several control parameters, Canonical correlation data can create a combination of high and you will insignificant canonical relationship. Basically, it can supply the following the basic advice: a person is an average relationship coefficient is echo this new relationship degree amongst the linear blend of manage variables as well as the linear consolidation of standard parameters. The average correlation coefficient need to visited a critical level so you’re able to represent the key relationship between the two categories of linear combinations. The second is the fresh new wisdom coefficient (i.elizabeth., brand new rectangular value of normal relationship coefficient R). It indicates that the normal circumstances of the fundamental varying can also be become said from the normal situations of one’s manage adjustable (for around ten%). The third ‘s the architectural coefficient (typical weight). It is designed to control the relationship amongst the variable and the brand new standard adjustable to their respective regular linear combinations. Absolutely the value of the coefficient have to be over 0.29 to explain you to definitely its respective normal linear combinations enjoys explanatory power.