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Table 4 Correlation between online education variables, IES-R, MFQ-P and demographic characteristics

From: The impact of COVID-19 pandemic outbreak on education and mental health of Chinese children aged 7–15 years: an online survey

  

Sex

Age

School level

School type

Child live with whom

Province

Ethnicity

Residence

Income/M

Effectiveness

Pearson r

.041

.149**

.172**

−.037

.007

.040

−.071

−.105**

−.004

Sig (2-tailed)

.295

.000

.000

.338

.857

.302

.065

.007

.923

Efficiency

Pearson r

.055

.202**

.229**

−.027

.047

.106**

−.047

−.113**

−.022

Sig (2-tailed)

.156

.000

.000

.483

.223

.006

.223

.004

.566

Satisfaction

Pearson r

.030

.173**

.166**

−.045

.032

.078*

−.077*

−.037

−.102**

Sig (2-tailed)

.440

.000

.000

.247

.410

.043

.047

.339

.008

IES-R-P total

Pearson r

−.022

.047

.052

−.106**

.078*

−.093*

−.028

.100**

−.101**

Sig (2-tailed)

.576

.221

.179

.006

.044

.016

.477

.009

.009

SMFQ-P score

Pearson r

−.029

.111**

.100*

−.130**

.057

−.093*

−.013

.083*

−.058

Sig (2-tailed)

.459

.004

.010

.001

.141

.016

.729

.032

.136

  1. IES-R, Impact of Event Scale-Revised, MFQ-P, Mood and Feeling questionnaire-parents *p < 0.05