Table 5.

Multiple linear regression (MLR) to predict overall blended learning experience (OBE)

Model summaryMultiple RR2Adjusted R2Std. errorSD
 0.9470.8970.8940.2940.905   
ANOVASum of squaresDfMean squareFP   
Regression163.121532.624376.595***0.000   
Residual18.7992170.087     
Total181.919222      
LinearitySum of squaresDfMean squareFP   
Cognitive flexibility129.0111129.011664.841***0.000   
Faculty support131.7311131.731698.525***0.000   
Student engagement96.907196.907359.747***0.000   
Sense of belonging97.235197.235284.230***0.000   
Learner self-actualization125.0331125.033505.894***0.000   
Coefficient and multicollinearityBStd. ErrorBeta (β)tPToleranceVIFCI
Constant−0.2180.095 −2.2880.023  1
Faculty support0.3270.0360.326***9.2010.0000.3792.64213.243
Cognitive flexibility0.2600.0360.269***7.1760.0000.3382.9612.661
Learner self-actualization0.2150.0360.222***6.0380.0000.3512.8520.825
Student engagement0.1760.0310.181***5.7140.0000.4752.10616.522
Sense of belonging0.1030.0330.103**3.1050.0020.432.32619.53

Notes:

*p < 0.05; **p < 0.01; ***p < 0.001

DF = degree of freedom; B = unstandardized coefficient; Beta = standardized coefficients; VIF = variance inflation factor; CI = condition index

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