Table 4 Direct effects of content complexity and A/V ratio on program satisfaction.

From: How content complexity and sensory modality influence student satisfaction in art education

Variable

Model 1

Model 2

Model 3

Model 4

Constant

5.199***

5.342***

5.200***

5.342***

 

(0.127)

(0.136)

(0.128)

(0.136)

Control variables

   

Beijing

0.040

0.032

0.039

0.032

 

(0.026)

(0.026)

(0.026)

(0.026)

Tianjin

0.110**

0.107**

0.110**

0.107**

 

(0.038)

(0.038)

(0.038)

(0.038)

Shanghai

 − 0.041

 − 0.045

 − 0.041

 − 0.045

 

(0.036)

(0.035)

(0.036)

(0.035)

Chongqing

0.045

0.045

0.045

0.045

 

(0.036)

(0.036)

(0.036)

(0.036)

Department level

 − 0.008

 − 0.007

 − 0.008

 − 0.007

 

(0.016)

(0.016)

(0.016)

(0.016)

Firm age

 − 0.013

 − 0.015

 − 0.013

 − 0.015

 

(0.021)

(0.021)

(0.021)

(0.021)

Business diversity

 − 0.039†

 − 0.041*

 − 0.039†

 − 0.041*

 

(0.021)

(0.021)

(0.021)

(0.021)

Capital size

0.005*

0.004*

0.005*

0.004*

 

(0.002)

(0.002)

(0.002)

(0.002)

F/M ratio

 − 0.004

 − 0.012

 − 0.005

 − 0.012

 

(0.018)

(0.018)

(0.018)

(0.018)

Voters

 − 0.088***

 − 0.089***

 − 0.088***

 − 0.089***

 

(0.006)

(0.006)

(0.006)

(0.006)

Independent variables

   

Content complexity

 − 0.045**

 

 − 0.045**

  

(0.015)

 

(0.015)

A/V ratio

  

0.002

 − 0.001

   

(0.010)

(0.010)

F-Statistics

28.909***

27.240***

26.266***

24.954***

Adjusted R-Square

0.155

0.159

0.154

0.159

ΔAdjusted R-Square

2.88%

 − 3.14%

2.88%

Degrees of Freedom

1513

1512

1512

1511

  1. N = 1524.
  2. The dependent variable (DV): Program satisfaction.
  3. Standard errors in parentheses.
  4. *** p < .001; ** p < .01; * p < .05; † p < .1