Towards , this research chosen a couple of categories for the Chengdu Shishi secondary school and you can Jinniu middle school respectively, marketed three hundred questionnaires, recovered 278 surveys, subtracted several invalid questionnaires and you can 266 legitimate questionnaires. The brand new certified study try done off .
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 data are a mathematical strategy always take to the latest relationship knowledge anywhere between that selection of control parameters and one group regarding standard details
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 meet an inmate giriÅŸ 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 Statistics
It will select the maximum correlation involving the linear integration out-of manage variables and linear mixture of expectations variables. For this reason, canonical correlation investigation tests the new canonical relationship mix of several requirement parameters and you can numerous handle parameters, Canonical relationship analysis can make a mix of significant and you will insignificant canonical correlation. Essentially, it can provide the following basic recommendations: one is the common correlation coefficient can also be echo new relationship studies involving the linear combination of handle parameters therefore the linear combination off important details. The typical correlation coefficient need come to a critical height so you can portray the key relationship among them sets of linear combinations. The second reason is the latest judgment coefficient (i.e., the newest square property value regular correlation coefficient Roentgen). It indicates that the typical products of important varying can be feel told me because of the normal items of your own control changeable (not less than ten%). The third is the structural coefficient (regular load). It is intended to manage the brand new relationship involving the adjustable and the criterion variable on their particular regular linear combos. The absolute worth of the newest coefficient should be more than 0.30 to explain one to the particular regular linear combos possess explanatory power.