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Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research.
Abstract
This article meta-analytically summarizes the literature on training motivation, its antecedents, and its relationships with training outcomes such as declarative knowledge, skill acquisition, and transfer. Significant predictors of training motivation and outcomes included individual characteristics (e.g., locus of control, conscientiousness, anxiety, age, cognitive ability, self-efficacy, valence, job involvement) and situational characteristics (e.g., climate). Moreover, training motivation explained incremental variance in training outcomes beyond the effects of cognitive ability. Meta-analytic path analyses further showed that the effects of personality, climate, and age on training outcomes were only partially mediated by self-efficacy, valence, and job involvement. These findings are discussed in terms of their practical significance and their implications for an integrative theory of training motivation.
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“In fact, conservative estimates posit that for adolescents and adults, academic motivation accounts for approximately 30% of learning, as well as the transfer and/or application of what has been learned (Colquitt, LePine, & Noe, 2000).”
From Malleability, plasticity, and individuality: How children learn and develop in context1 (2019) · cites this paper as Colquitt, LePine, & Noe, 2000
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“These results contradict previous experimental work that found a negative relationship between anxiety and skill acquisition (Colquitt et al., 2000; Warr & Downing, 2000), which may depend on the skills of interest in the respective studies.”
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“For example, Colquitt et al. (2000) analyzed training motivation, but they mix corrections such that some appear corrected back to the applicant level (e.”
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“Later, [18]developed an integrated model of training motivation based on a meta-analytic path analysis of related research in the last 20 years.”
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“In a meta-analysis by Colquitt, LePine, and Noe (2000), for instance, the estimated correlation between training reactions and work performance was .04.”
MethodResearch Article Learning in Color: How Color and Affect Influence Learning Outcomes
Kumi, R., Conway, C. M., Limayem, M., & Goyal, S. (2013) · IEEE Transactions on Professional Communication · doi:10.1109/tpc.2012.2208390 · Cited by 42
“[31] note that individual and situational characteristics influence training effectiveness.”
BackgroundChang, C.-Y., Chen, C.-L. D., & Yeh, T.-K. (2016) · EURASIA Journal of Mathematics, Science and Technology Education · doi:10.12973/eurasia.2016.1519a · Cited by 41
Rathore, S. P. S. (2023) · International Journal for Global Academic & Scientific Research · doi:10.55938/ijgasr.v2i2.49 · Cited by 41
“Researchers have had limited success in producing empirical proof of the relationship underlying comprehension and operational requirements, despite efforts to do so (Colquitt et al., 2000).”
BackgroundGillet, N., Morin, A. J. S., Huart, I., Odry, D., Chevalier, S., Coillot, H., & Fouquereau, E. (2018) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2018.09.005 · Cited by 44
Chauhan, R., Ghosh, P., Rai, A., & Kapoor, S. (2017) · Journal of Workplace Learning · doi:10.1108/jwl-08-2016-0079 · Cited by 41
Understanding Cognitive-Emotional Processing Through a Coaching Process
Mosteo, L. P., Batista‐Foguet, J. M., McKeever, J. D., & Serlavós, R. (2015) · The Journal of Applied Behavioral Science · doi:10.1177/0021886315600070 · Cited by 57
The relative importance of specific self‐efficacy sources in pretraining self‐efficacy beliefs
Howardson, G. N., & Behrend, T. S. (2015) · International Journal of Training and Development · doi:10.1111/ijtd.12060 · Cited by 43
“…and negative, we focus here on negative emotional arousal 236 International Journal of Training and Development © 2015 John Wiley & Sons Ltd. given its well-researched foundation in the organizational training literature (e.g. Colquitt et al., 2000; Kanfer & Ackerman, 1989; Sitzmann et al., 2008).”
BackgroundResultInfluentialDesign Training Systematically and Follow the Science of Training
Salas, E., & Stagl, K. C. (2015) · doi:10.1002/9781119206422.ch4 · Cited by 41
Anger Effects on Driver Situation Awareness and Driving Performance
Jeon, M., Walker, B. N., & Gable, T. M. (2014) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres_a_00169 · Cited by 45
Metadata
- Authors
- Colquitt, J. A., LePine, J. A., & Noe, R. A.
- Affiliations
- University of Florida (US)
- Venue
- Journal of Applied Psychology
- Published
- 2000
- Volume
- 85
- Issue
- 5
- Pages
- 678-707
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W2128070591
- Cited by
- 2,126
- References
- 0
- Citations by year
- 2026: 46 · 2025: 50 · 2024: 66 · 2023: 81 · 2022: 95 · 2021: 105 · 2020: 99 · 2019: 103 · 2018: 103 · 2017: 127 · 2016: 85 · 2015: 139 · 2014: 132 · 2013: 136 · 2012: 115
- FWCI
- 29.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Social Sciences › Psychology › Developmental and Educational Psychology › Education, Achievement, and Giftedness
- Social Sciences › Education › Adult and Continuing Education Topics
- Keywords
- training motivation, self-efficacy, valence, job involvement, locus of control, conscientiousness, anxiety, cognitive ability, organizational climate, skill acquisition, knowledge transfer, mediating effect, integrative theory, adult learning
- MeSH terms
- Humans, Inservice Training, Motivation, Psychological Theory, Psychology, Industrial, Regression Analysis, Self Efficacy
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