The Innovation of Traditional Sports Culture Dissemination Mode of Ethnic Minorities in the Age of Internet Plus

Figure 1.

Figure 2.

Description of variables

Variable classification	Latent variables	Observed variables
Independent variables	Audience individual	Educational level (AUD1)
		Hobbies and interests (AUD2)
		Media literacy (AUD3)
		Cultural literacy (AUD4)
	Content ontology	Understandability (CONT1)
		Interestingness (CONT2)
		Multimedia capability (CONT3)
		Integration (CONT4)
	Communication subject	Authority (COMM1)
		Ease of use (COMM2)
		Fluency (COMM3)
		Diversification of communication channels (COMM4)
	Environmental object	Institutional environment (ENV1)
		Cultural atmosphere (ENV2)
		Media technology (ENV3)
Dependent variables	Degree of cognition	Know of (COG1)
	Have gained some understanding (COG2)
	Degree of understanding	Agree (UND1)
		Be interested (UND2)
	Degree of participation	Comment (PAR1)
		Share (PAR2)

Inspection table of overall scale KMO and Bartlett’s test

A measure of adequacy of the Kaiser-Meyer-Olkin sample		0.894
Bartlett’s sphericity test	Approximate chi-square	6127.83
	df	502
	Sig.	0.000

Variance explanation ratel

Factor number	Feature root			Rotational front difference interpretation rate			Explanation rate of variance after rotation
	Feature root	Variance explanation rate	Cumulation	Feature root	Variance explanation rate	Cumulation	Feature root	Variance explanation rate	Cumulation
1	13.504	41.525%	41.525%	13.504	41.525%	41.525%	3.862	12.431%	12.431%
2	2.317	6.848%	48.373%	2.317	6.848%	48.373%	3.834	12.352%	24.783%
3	2.120	6.521%	54.894%	2.120	6.521%	54.894%	3.825	12.314%	37.097%
4	1.959	6.374%	61.268%	1.959	6.374%	61.268%	3.706	12.247%	49.344%
5	1.706	5.529%	66.797%	1.706	5.529%	66.797%	3.121	9.928%	59.272%
6	1.583	5.182%	71.979%	1.583	5.182%	71.979%	3.004	9.613%	68.885%
7	1.241	4.157%	76.136%	1.241	4.157%	76.136%	2.305	7.251%	76.136%

Factor load coefficient after rotation

Variables	Factor load coefficient							Common degree (common factor variance)
	Factor 1	Factor 2	Factor 3	Factor 4	Factor 5	Factor 6	Factor 7
AUD1	0.779	0.133	0.216	0.179	0.106	0.103	0.105	0.727
AUD2	0.808	0.151	0.188	0.112	0.088	0.118	0.153	0.758
AUD3	0.794	0.134	0.167	0.156	0.196	0.116	0.122	0.758
AUD4	0.797	0.148	0.139	0.186	0.121	0.145	0.085	0.755
CONT1	0.170	0.775	0.175	0.152	0.092	0.115	0.084	0.771
CONT2	0.154	0.792	0.198	0.209	0.146	0.162	0.091	0.755
CONT3	0.143	0.777	0.176	0.163	0.134	0.146	0.117	0.727
CONT4	0.201	0.763	0.171	0.151	0.141	0.168	0.168	0.734
COMM1	0.165	0.176	0.765	0.133	0.097	0.174	0.115	0.753
COMM2	0.159	0.194	0.782	0.151	0.175	0.153	0.069	0.753
COMM3	0.177	0.192	0.785	0.089	0.109	0.139	0.099	0.739
COMM4	0.191	0.144	0.785	0.163	0.159	0.113	0.114	0.733
ENV1	0.157	0.141	0.127	0.782	0.143	0.144	0.131	0.735
ENV2	0.153	0.175	0.109	0.779	0.166	0.129	0.141	0.742
ENV3	0.148	0.147	0.172	0.776	0.158	0.134	0.147	0.763
COG1	0.129	0.164	0.154	0.171	0.794	0.141	0.082	0.774
COG2	0.133	0.093	0.189	0.136	0.795	0.162	0.158	0.766
UND1	0.138	0.155	0.171	0.142	0.162	0.786	0.158	0.734
UND2	0.113	0.178	0.154	0.151	0.152	0.782	0.167	0.751
PAR1	0.152	0.182	0.138	0.182	0.155	0.149	0.783	0.801
PAR2	0.152	0.179	0.182	0.215	0.162	0.190	0.791	0.749

Structural equation model path coefficient

Research hypothesis	Path	std.	Unstd.	S.E.	C.R.	P	Whether the hypothesis holds or not
H1a	COG→PAR	0.285	0.175	0.063	3.216	0.003	YES
H1b	UND→PAR	0.206	0.114	0.056	2.312	0.028	YES
H1c	COG→UND	0.220	0.113	0.041	2.852	0.007	YES
H2a	AUD→COG	0.384	0.267	0.073	4.112	0.000	YES
H2b	AUD→UND	0.012	0.012	0.077	0.152	0.893	NO
H3a	CONT→COG	0.323	0.302	0.071	4.316	0.000	YES
H3b	CONT→UND	0.156	0.135	0.063	2.264	0.025	YES
H4a	COMM→COG	0.204	0.231	0.097	2.505	0.018	YES
H4b	COMM→UND	0.227	0.385	0.184	2.153	0.034	YES
H5a	ENV→COG	0.275	0.571	0.192	3.165	0.003	YES
H5b	ENV→UND	0.388	0.474	0.095	4.986	0.000	YES

Test of aggregation validity

Factor	Average variance extraction AVE value	Combined reliability CR value
Audience individual	0.689	0.924
Content ontology	0.682	0.920
Communication subject	0.674	0.916
Environmental object	0.693	0.921
Degree of cognition	0.686	0.905
Degree of understanding	0.671	0.897
Degree of participation	0.677	0.868

Reliability analysis of each scale

Measurement dimension	Item	CITC	Cronbach’s Alpha after deleting the item	Alpha coefficient
Audience individual	AUD1	0.776	0.905	0.921
	AUD2	0.831	0.884
	AUD3	0.772	0.904
	AUD4	0.748	0.908
Content ontology	CONT1	0.805	0.895	0.912
	CONT2	0.748	0.893
	CONT3	0.746	0.894
	CONT4	0.779	0.887
Communication subject	COMM1	0.756	0.893	0.926
	COMM2	0.785	0.884
	COMM3	0.834	0.925
	COMM4	0.789	0.929
Environmental object	ENV1	0.802	0.927	0.935
	ENV2	0.774	0.930
	ENV3	0.818	0.925
Degree of cognition	COG1	0.745	0.819	0.874
	COG2	0.783	0.785
Degree of understanding	UND1	0.808	0.864	0.907
	UND2	0.759	0.886
Degree of participation	PAR1	0.805	0.857	0.904
	PAR2	0.782	0.869

Test of discriminative validity

Factor	Coding	AUD	CONT	COMM	ENV	COG	UND	PAR
Audience individual	AUD	0.832
Content ontology	CONT	0.493	0.824
Communication subject	COMM	0.491	0.458	0.821
Environmental object	ENV	0.485	0.511	0.504	0.834
Degree of cognition	COG	0.429	0.457	0.496	0.426	0.833
Degree of understanding	UND	0.461	0.491	0.477	0.495	0.466	0.825
Degree of participation	PAR	0.464	0.469	0.494	0.492	0.467	0.512	0.827

Model fitting index

Fitting index	Acceptable range	Measured value	Degree of fit
CMIN/DF	<3	1.724	Good
RMSEA	<0.08	0.051	Good
GFI	>0.8	0.872	Good
AGFI	>0.8	0.853	Good
IFI	>0.8	0.942	Good
CFI	>0.9	0.941	Good

Sample description statistics

Item	Category	Frequency (copies)	Percentage (%)
Gender	Male	158	41.25
	Female	225	58.75
Educational background	College and below	41	10.70
	Undergraduate	289	75.46
	Master	45	11.75
	Doctor and above	8	2.09
Age	<20	75	19.58
	20-25	128	33.42
	26-35	130	33.94
	36-45	36	9.40
	>45	14	3.66
Occupation	Teacher	42	10.97
	Pupil	168	43.86
	Researchers	44	11.49
	Administrative personnel	82	21.41
	Other	47	12.27
	Total	383	100.00
Income	1000-3000 yuan	141	36.81
	3000-5000 yuan	74	19.32
	5000-10000 yuan	108	28.20
	10000-20000 yuan	42	10.97
	>20000 yuan	18	4.70
Whether to use digital media	Yes	341	89.03
	No	42	10.97

Factor load coefficient

Latent variables	Observed variables	Non-standard load coefficient	Std. Error	z (CR value)	p	Standard load factor
Audience individual	AUD1	1.000	-	-	-	0.811
	AUD2	0.986	0.036	25.137	0.000	0.826
	AUD3	1.01	0.044	25.25	0.000	0.837
	AUD4	0.976	0.040	24.54	0.000	0.822
Content ontology	CONT1	1.000	-	-	-	0.827
	CONT2	1.014	0.041	25.361	0.000	0.821
	CONT3	1.006	0.042	25.717	0.000	0.836
	CONT4	1.023	0.041	25.434	0.000	0.828
Communication subject	COMM1	1.000	-	-	-	0.809
	COMM2	1.037	0.043	24.212	0.000	0.805
	COMM3	1.028	0.041	24.446	0.000	0.819
	COMM4	1.027	0.043	24.216	0.000	0.803
Environmental object	ENV1	1.000	-	-	-	0.842
	ENV2	1.014	0.034	26.767	0.000	0.835
	ENV3	0.946	0.035	25.641	0.000	0.811
Degree of cognition	COG1	1.000	-	-	-	0.828
	COG2	0.999	0.042	24.69	0.000	0.821
Degree of understanding	UND1	1.000	-	-	-	0.821
	UND2	0.967	0.048	22.691	0.000	0.803
Degree of participation	PAR1	1.000	-	-	-	0.806
	PAR2	1.028	0.046	23.219	0.000	0.832

Hypothesis testing based on correlation analysis

Research hypothesis	Correlation variable	Correlation coefficient
H1a	Degree of cognition←→Degree of participation	0.339**
H1b	Degree of understanding←→Degree of participation	0.291**
H1c	Degree of cognition←→Degree of understanding	0.278**
H2a	Audience individual←→Degree of cognition	0.354**
H2b	Audience individual←→Degree of understanding	0.249**
H3a	Content ontology←→Degree of cognition	0.415**
H3b	Content ontology←→Degree of understanding	0.298**
H4a	Communication subject←→Degree of cognition	0.376**
H4b	Communication subject←→Degree of understanding	0.379**
H5a	Environmental object←→Degree of cognition	0.325**
H5b	Environmental object←→Degree of understanding	0.461**