To the , this research chosen several kinds into the Chengdu Shishi secondary school and you can Jinniu middle school respectively, marketed 300 forms, retrieved 278 surveys, deducted a dozen incorrect surveys and you can 266 good forms. The brand new specialized investigation is actually done 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 study was an analytical method always try the brand new correlation knowledge between one to set of control details and another group away from 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 < 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 cuddli premium 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.
Mathematical Statistics
They aims to discover the limitation relationship between your linear integration out-of handle variables additionally the linear mixture of standards details. Hence, canonical relationship research examination the fresh new canonical correlation mix of several standards parameters and several handle variables, Canonical relationship studies can make a variety of high and you may insignificant canonical relationship. Essentially, it does deliver the pursuing the earliest suggestions: a person is the average relationship coefficient normally mirror the new correlation training between your linear combination of manage parameters therefore the linear consolidation regarding simple variables. The average correlation coefficient have to started to a life threatening level so you can portray the significant correlation among them groups of linear combinations. The second is this new wisdom coefficient (we.age., the fresh new rectangular property value regular relationship coefficient Roentgen). This means the typical products of practical varying normally be said by normal factors of the manage variable (no less than 10%). The third is the structural coefficient (normal load). It is meant to control brand new correlation between your variable and you may this new requirement variable on the respective normal linear combos. The absolute property value the latest coefficient must be more 0.29 to explain you to definitely its respective typical linear combinations possess explanatory energy.
Leave a Reply
Want to join the discussion?Feel free to contribute!