How social influences and work environment affect the overall experience of tefl teachers in China

Variable	Overall experience	Expatriate community	Language barrier	Acceptance by locals	Access to healthcare	Social influences	Work conditions	Working hours	Work environment
Overall experience	1.00	.52*	.39*	.18*	.37*	.51*	.45*	.47*	.51*
Expatriate community		1.00	.43*	.18*	.49*	.73*	.50*	.50*	.55*
Language barrier			1.00	.26*	.56*	.83*	.48*	.43*	.*50
Acceptance by locals				1.00	.24*	.50*	.28*	.23*	.29*
Access to healthcare					1.00	.77*	.52*	.51*	.55*
Social influences						1.00	.62*	.57*	.65*
Work conditions							1.00	.63*	.88*
Working hours								1.00	.91*
Work environment									1.00
* Correlation is significant at the 0.01 level (2-tailed). For practical significance of the correlation, if correlation coefficient is <0.30: Weak correlation, 0.30-0.49: Moderate correlation, 0.50+: Strong correlation

[i] Source: Authors’ own description, based on research results.

Model fit information for the primary factor ordinal regression conducted

	Model Fitting Information
Model	-2 Log Likelihood	Chi-Square	df	Sig.
Intercept only	420.24
Final	282.51	137.73	6	0.00*
Link function: Logit
Marked effects (*) are significant at p < .05

[i] Source: Authors’ own description, based on research results.

Tests of model effects and parameter estimates for the primary factors

Parameter Estimates
df	Sig. (p<. 05)		Upper
[Overall experience=2.00]	12.04	1.52	62.58	1	0.00	168585	8546.20	3325553.00
Social influences		1.0	0.48	4.65	1	0.03*	2.80	1.10	7.14
Work environment		0.08	0.37	0.04	1	0.84	1.08	0.52	2.25
(Scale)		1a
Dependent variable: Overall experience
Model: (threshold), social influences, work environment
Fixed at the displayed value
Marked effects (*) are significant at p < .05

[i] Source: Authors’ own description, based on research results.

Tests of model effects and parameter estimates for the primary factors

Model	-2 Log Likelihood	Chi-Square	df	Sig.
Intercept only	420.24
Final	267.42	152.82	11	0.00*
Link function: Logit
Marked effects (*) are significant at p < .05

[i] Source: Authors’ own description, based on research results.

Tests of model effects and parameter estimates for the secondary factors

df	Sig.		Upper
Threshold	[Overall experience=1.00]	10.81	1.58	46.61	1	0.00		2224.60	1104698.20
[Overall experience=2.00]	13.05	1.68	60.60	1	0.00	463320.00	17351.00	12372093.26
The presence of an expatriate community		0.81	0.32	6.58	1	0.01*	2.26	1.21	4.20
The potential influence of a language barrier		0.57	0.36	2.43	1	0.12	1.76	0.87	3.58
Acceptance by locals		-0.00	0.24	0.00	1	0.99	1.00	0.62	1.59
Access to healthcare		-0.50	0.30	2.83	1	0.09	0.61	0.34	1.09
Working hours		-0.06	0.35	0.03	1	0.87	0.94	0.47	1.89
Work conditions		0.24	0.39	0.36	1	0.55	1.27	0.59	2.75
(Scale)		1a
Dependent Variable: Overall experience
Model: (threshold), expatriate community, language barrier, acceptance by locals, access to healthcare, working hours, work conditions
Fixed at the displayed value
Marked effects (*) are significant at p < .05

[i] Source: Authors’ own description based on research results.

DOI: https://doi.org/10.2478/ijcm-2021-0001 | Journal eISSN: 2449-8939 | Journal ISSN: 2449-8920

Language: English

Page range: 1 - 13

Published on: Sep 15, 2021

Published by: Jagiellonian University

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Related subjects:

© 2021 Gabriella Berman, Adele Potgieter, published by Jagiellonian University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.