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Revisiting trainee reactions: A multilevel analysis of the nomological network
Author(s) -
Kim Sehoon,
Park Soyoun,
Lavelle John,
Kim Minjung,
Chaudhuri Sanghamitra
Publication year - 2019
Publication title -
human resource development quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 65
eISSN - 1532-1096
pISSN - 1044-8004
DOI - 10.1002/hrdq.21383
Subject(s) - psychology , nomological network , training (meteorology) , multilevel model , situational ethics , cognition , citizen journalism , applied psychology , medical education , structural equation modeling , social psychology , computer science , medicine , physics , machine learning , neuroscience , meteorology , world wide web
Surveying participants' reactions remains the most popular approach to evaluate training programs. However, it is unclear how reactions are related to training contexts and outcomes. Using a multilevel analysis, this study examined the structural relationships among individual/situational characteristics, trainee reactions, and training outcomes in mandatory safety and health training programs. We analyzed data from 545 participants of 29 face‐to‐face training classes who completed three sequential surveys. The results revealed that pre‐training motivation and the classroom setting are associated with reactions, and reactions are associated with participatory behavior, cognitive learning, and perceived transfer. Trainee reactions significantly mediated the relationships of pre‐training motivation and the classroom setting with training outcomes. The significance of this study is identifying the roles of trainee reactions in training, applying a multilevel analysis in training research.