An analysis of the role of residential location on the relationships between time spent online and non-mandatory activity-travel time use over time

Wu, Guoqiang; Hong, Jinhyun

doi:10.1016/j.jtrangeo.2022.103378

Cited by 4 publications

(1 citation statement)

References 79 publications

(92 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many studies on ICT users' characteristics have focused on personal and professional variables such as gender, age, experience, educational level, rank and location (Donkor & Nwagwu, 2019;Guillén-Gámez & Mayorga-Fernández, 2020;Karatsoli & Nathanail, 2020;Sánchez Prieto et al, 2020;Wu & Hong, 2022). For instance, a study (Vroman et al, 2015) found that educated adult users (65 to 70 years) are more likely to use ICT than those above the age range.…”

Section: Introductionmentioning

confidence: 99%

Latent Class Analysis of Postgraduate Students’ Behavioral Characteristics toward ICT Use: What Are Their Job Creation Differences?

Owan¹,

Akpan²,

Ekpenyong³

et al. 2022

The International Journal of Adult, Community and Professional

View full text Add to dashboard Cite

This study analysed the behavioural characteristics of ICT users among postgraduate students leveraging the Latent Class Analysis (LCA). The study, anchored on the Planned Behaviour Theory, followed the exploratory research design. It adopted the cluster random sampling technique in selecting 1,023 respondents from a population of 2,923 postgraduate students in four federal universities in South-South Nigeria. "Behavioural Characteristics and Job Creation Questionnaire (BCJCQ)", developed by the researchers, was used for data collection. Upon data collection and LCA analysis, the five-class solution was accepted as the best fitting model, based on statistical fit indicators (such as AIC, BIC, entropy, Gsq, and Chsq) and theoretical grounds. Consequently, five classes of behavioural ICT users were identified and named based on their item-response probability, conditional on class. The five classes were named Trendy, Outmoded, Pragmatic, Disciplined and Social users of ICT, with their unique characteristics discussed. The study tested for job creation differences among the classes using a one-way ANOVA and found a significant difference. On average, pragmatic users of ICT created more jobs than social, disciplined, and outmoded users. Trendy users were, on average, the minor job-creating class of ICT users. The study compared the bivariate differences in job creation among the classes using the Tukey HSD test of multiple pairwise comparisons. Based on the results obtained, discussions were made with implications for further research in the evolving area of LCA.

show abstract