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The newest legitimacy and precision of your questionnaire was checked-out and you can fixed in accordance with the pre-take to

The newest legitimacy and precision of your questionnaire was checked-out and you can fixed in accordance with the pre-take to

On the , this research chosen a couple of groups for the Chengdu Shishi secondary school and Jinniu secondary school respectively, delivered 300 questionnaires, recovered 278 forms, subtracted twelve invalid questionnaires and you may 266 valid questionnaires. Brand new specialized investigation try done regarding .

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 data is a statistical strategy used to sample this new correlation studies ranging from that number of manage variables and one class from criterion parameters

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). 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

It is designed to discover the maximum relationship within linear combination off control details and linear blend of standard details. Hence, canonical relationship data examination the fresh canonical correlation mixture of several standards parameters and you will numerous control details, Canonical adultspace profil örnekleri relationship research can make a mixture of tall and you will insignificant canonical correlation. Essentially, it will deliver the following earliest pointers: you’re an average correlation coefficient can also be reflect brand new relationship degree between your linear mix of handle details and also the linear combination from fundamental variables. An average correlation coefficient need certainly to come to a significant top in order to represent the main correlation between the two groups of linear combinations. The second reason is the view coefficient (we.age., this new square property value typical relationship coefficient R). It indicates your normal activities of the fundamental adjustable is also end up being told me because of the normal situations of manage changeable (for around ten%). The 3rd is the structural coefficient (regular stream). It’s intended to control this new relationship involving the changeable and the new requirement adjustable on their particular regular linear combos. Absolutely the value of the newest coefficient have to be more 0.30 to explain one the particular regular linear combinations has actually explanatory stamina.

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