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Table 5 Simple regression analysis of the predictive effect of school-community relations on academic dishonesty

From: Discussing the misnomer: Exploring multidimensional perception to academic dishonesty in Nigeria. Do school attributes really matter?

Model

SS

df

MS

F

p

Other parameters

Plagiarism

Regression

264.086

1

264.08

65.04

0.000*

R = .078, R2 = 0.006, Adj R2 = 0.006, Std error = 2.01, t = 8.06, β = 0.078

Residual

43175.986

10,635

4.060

   

Total

43440.072

10,636

    

Cheating

Regression

51.677

1

51.677

487.21

0.000*

R = .209, R2 = 0.044, Adj R2 = 0.044, Std error = 0.32, t=−22.1, β= − 0.029

Residual

1128.017

10,635

0.106

   

Total

1179.694

10,636

    

Falsification

Regression

0.306

1

0.306

0.031

0.861

R = .002, R2 = 0.00, Adj R2 = 0.00, Std error = 3.15, t = − 0.18, β= − 0.002

Residual

105636.669

10,635

9.933

   

Total

105636.975

10,636

    

Fabrication

Regression

249.44

1

249.44

21.09

0.000*

R = .044, R2 = 0.002, Adj R2 = 0.002, Std error = 3.43, t=−4.59, β= − 0.044

Residual

125745.98

10,635

11.82

   

Total

125995.43

10,636

    

impersonation

Regression

678.337

1

678.337

517.03

0.000*

R = .564, R2 = 0.318, Adj R2 = 0.311, Std error = 0.243, t = 28.89, β= −564

Residual

13271.552

10,635

1.312

   

Total

13949.889

10,636

    
  1. SS Sum of squares, MS Mean squares, df degree of freedom