2023
DOI: 10.59865/abacj.2023.45
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Effect of Research Training Environment on Doctoral Students’ Research Intentions

Sutthisan Chumwichan,
Suwimon Wongwanich,
Chayut Piromsombat

Abstract: The research training environment (RTE) is an important factor for enhancing doctoral students’ research intentions (RI). This study aims to develop and validate the casual relationship model of the RTE and RI, mediated by research self-efficacy (RSE) and research engagement (RE), and examine differential RTE effects in years 1-3 of the doctoral program. The research sample consisted of 246 doctoral students in years 1-3 of their doctoral program, with the respondents randomly selected from 13 universities in … Show more

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Cited by 5 publications
(4 citation statements)
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“…One avenue for further exploration lies in the methodology utilized for constructing indices such as the learning index (Harth, Wongwanich & Piromsombat, 2023) or digital learning (Kim et al, 2023;Kitcharoen, 2021). Moreover, while this study employed a traditional factor-based approach, an alternative method known as component-based analysis has gained traction in recent research endeavors (Chumwichan, Wongwanich & Piromsombat, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…One avenue for further exploration lies in the methodology utilized for constructing indices such as the learning index (Harth, Wongwanich & Piromsombat, 2023) or digital learning (Kim et al, 2023;Kitcharoen, 2021). Moreover, while this study employed a traditional factor-based approach, an alternative method known as component-based analysis has gained traction in recent research endeavors (Chumwichan, Wongwanich & Piromsombat, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…While specific measures to assess the reliability and validity of the NCA construct were not implemented, the study model underwent evaluation using SEM criteria as outlined by Richter et al (2020) beforehand. Component-based SEM was utilized in this study as it generates a linearly combined score suitable for subsequent analysis (Chumwichan et al, 2023;Leruksa et al, 2023;Rasmidatta, 2023).. Following the suggestion by Hwang et al (2017), GSCAM was chosen as the primary estimator.…”
Section: Analytical Proceduresmentioning
confidence: 99%
“…This research would not be completed without their cooperation. In addition, the researchers would like to thank the prototype research article that they studied for providing insights into the process and research methodologies to adapt for this study (Niyawanont & Wanarat, 2021;Chumwichan et al, 2023;Leruksa et al, 2023;Rasmidatta, 2023;Vilaisri et al, 2023).…”
Section: Acknowledgmentmentioning
confidence: 99%