Into , this study selected several categories within the Chengdu Shishi middle school and you can Jinniu middle school respectively, delivered three hundred questionnaires, recovered 278 surveys, subtracted several invalid questionnaires and you may 266 legitimate forms. New official investigation try completed 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 investigation are a statistical means regularly sample the fresh correlation degree between one set of handle variables and another category regarding expectations variables

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 christianmingle ücretsiz deneme < 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 find the maximum relationship amongst the linear integration away from handle variables additionally the linear mix of traditional details. Thus, canonical relationship study examination the fresh new canonical correlation mixture of multiple expectations variables and you will several manage parameters, Canonical correlation study can cause a mixture of significant and unimportant canonical relationship. Basically, it can provide the adopting the basic recommendations: one is the average relationship coefficient is also echo brand new correlation knowledge between your linear blend of handle variables plus the linear combination out-of standard variables. The average correlation coefficient must arrived at a significant level in order to show the main correlation between the two sets of linear combos. The second reason is the latest view coefficient (we.e., new square value of typical correlation coefficient Roentgen). This means that the typical activities of your own simple varying normally getting explained because of the regular points of one’s handle variable (not less than ten%). The next is the structural coefficient (normal stream). It is meant to manage this new relationship between your adjustable and you will the fresh standard varying to their respective typical linear combos. The absolute value of new coefficient should be more 0.30 to explain you to definitely its respective regular linear combinations enjoys explanatory stamina.