A longitudinal examination of computer self-efficacy change trajectories during training

作者：

Highlights：

• It takes individuals about 2 months to report significant increases in CSE.

• The shape of the CSE change trajectory is non-linear.

• Models CSE change over time as a latent variable.

• Uses latent growth modeling, a SEM modeling technique that requires repeated waves of data.

摘要

•It takes individuals about 2 months to report significant increases in CSE.•The shape of the CSE change trajectory is non-linear.•Models CSE change over time as a latent variable.•Uses latent growth modeling, a SEM modeling technique that requires repeated waves of data.

论文关键词：General computer self-efficacy,Software specific computer self-efficacy,Anxiety,Longitudinal methods,Latent growth modeling

论文评审过程：Available online 30 March 2013.

论文官网地址：https://doi.org/10.1016/j.chb.2013.02.022