The dimensions you are going to extract six common items, comparable to Cronbach’ ? coefficient is actually anywhere between 0
To the , this study chose a couple categories in the Chengdu Shishi secondary school and you can Jinniu secondary school correspondingly, marketed 3 hundred forms, recovered 278 questionnaires, deducted several incorrect forms and you will 266 valid forms. The fresh official research was finished 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.
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.
Mathematical Statistics
Canonical relationship studies try a statistical means accustomed attempt the latest relationship training between that group of control variables and one classification of requirement details. It will select the restriction relationship between your linear consolidation off handle parameters plus the linear combination sitios de citas para gamers gratis of traditional parameters. Hence, canonical relationship investigation screening the brand new canonical relationship blend of several standard variables and multiple control details, Canonical relationship research can make a combination of high and unimportant canonical correlation. Generally, it can provide the following first information: you’re the common relationship coefficient is also echo the new correlation knowledge within linear mix of control parameters in addition to linear combination of fundamental details. An average relationship coefficient need to come to a life threatening level so you can represent the main relationship between the two groups of linear combos. The second is the latest view coefficient (i.age., the latest square property value typical relationship coefficient R). It means the normal situations of your practical changeable normally getting informed me from the typical activities of the handle varying (for around 10%). The next ‘s the architectural coefficient (regular load). It’s designed to control new correlation within changeable and you can the brand new standard variable to their particular regular linear combinations. The absolute worth of the fresh new coefficient have to be more than 0.31 to explain one their particular normal linear combos has actually explanatory power.
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