A review and meta-analysis of the nomological network of trainee reactions |
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Authors: | Sitzmann Traci Brown Kenneth G Casper Wendy J Ely Katherine Zimmerman Ryan D |
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Affiliation: | Advanced Distributed Learning Co-Laboratory, Alexandria, VA 22311-1721, USA. traci.sitzmann.ctr@adlnet.gov |
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Abstract: | A review and meta-analysis of studies assessing trainee reactions are presented. Results suggest reactions primarily capture characteristics of the training course, but trainee characteristics (e.g., anxiety and pretraining motivation) and organizational support also have a moderate effect on reactions. Instructional style (rho = .66) followed by human interaction (rho = .56) were the best predictors of reactions. Reactions predicted pre-to-post changes in motivation (beta = .51) and self-efficacy (beta = .24) and were more sensitive than affective and cognitive learning outcomes to trainees' perceptions of characteristics of the training course. Moderator analyses revealed reactions- outcomes correlations tended to be stronger in courses that utilized a high level rather than a low level of technology, and affective and utility reactions did not differ in their relationships with learning outcomes. The current study clarifies the nomological network of reactions and specifies outcomes that are theoretically related to reactions. |
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