E-learning continuance dataset

Published: 18 April 2023| Version 1 | DOI: 10.17632/9wzgmr8r3t.1
Contributor:
Phillip Dangaiso

Description

Quantitative data collected to evaluate the effect of quality antecedents on university students e-learning continuance in Zimbabwe.

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Steps to reproduce

This data was analysed using CFA-SEM in SPSS AMOS. The statistical procedures were followed to test research hypotheses. Others use software applications such as SMART PLS, STATA or MPLUS to generate statistical links between variables.

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Biographical Data

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