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A Tale of Two Transfers: Disentangling Maximum and Typical Transfer and Their Respective Predictors

  • Original Paper
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Journal of Business and Psychology Aims and scope Submit manuscript

Abstract

Purpose

Research on transfer of training has been characterized by a lack of precision in distinguishing between the ability to transfer (i.e., “can do”), and the motivation to transfer (i.e., “will do”). Drawing from job performance research that has made this distinction, we argue that transfer of training can fall along a maximum/typical continuum, with one end reflecting how much trainees could potentially transfer (maximum) and the other capturing how much trainees will transfer (typical).

Design/Methodology/Approach

A meta-analysis was conducted to identify relationships among four learning outcomes (declarative knowledge, skill acquisition, posttraining self-efficacy, and motivation to transfer), three stable antecedents (cognitive ability, conscientiousness, and workplace support), and transfer of training. 144 papers provided input for a meta-analytic correlation matrix, which formed the basis of regression analyses for hypothesis testing.

Findings

Maximum and typical transfer were only weakly correlated and, as hypothesized, were predicted by different antecedents. Specifically, ability factors including declarative knowledge, skill acquisition, and cognitive ability were stronger predictors of maximum transfer, whereas motivation factors including posttraining self-efficacy, motivation to transfer, conscientiousness, and workplace support were stronger predictors of typical transfer. Additional mediation analyses revealed that learning outcomes mediated the effects of stable antecedents differently on maximum/typical transfer.

Implications

These findings refine the understanding of the transfer construct space and suggest that future work on transfer should explicitly consider the maximum/typical continuum.

Originality/Value

This is the first paper to demonstrate the maximum/typical transfer distinction, thus offering potential explanation to inconsistent findings and highlighting the need for increased precision in transfer measurement.

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Notes

  1. We thank an anonymous reviewer for this suggestion.

  2. There could be more than one transfer measure coded for the maximum/typical dimension in a given study.

  3. Such design has been shown to be particularly susceptible to the inflation effect due to common method variance (Podsakoff et al. 2003; also see Huang et al. 2014a). It is worth noting that inclusion of these 18 effects did not substantially change the support for the study hypotheses.

  4. These results above should be interpreted with caution, as the results were based on a small number of studies with small sample sizes. The low maximum–typical correlation we obtained could be due to second-order sampling error or some unknown moderating effect, and therefore may not represent the true overall relationship between maximum and typical transfer.

  5. Based on the sample-adjusted meta-analytic deviancy statistic, two studies were detected as outliers for the relationship between declarative knowledge and typical transfer. When excluding these two outliers, ρ = .11. Because the inclusion of these two outliers did not affect the pattern of results in subsequent analyses, we retained these two studies. Results without these two outliers are available from the first author.

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Acknowledgments

This study was partially funded by a grant from the SHRM Foundation. However, the interpretations, conclusions, and recommendations are those of the authors and do not necessarily represent the views of the SHRM Foundation. An earlier version of this paper was presented at the annual meeting of Society for Industrial and Organizational Psychology in San Diego in 2012. We thank Brad Bell and Gilad Chen for comments on earlier drafts.

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Correspondence to Jason L. Huang.

Appendices

Appendix 1: References for Studies Included in Meta-analysis

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Appendix 2

See Table 9.

Table 9 Coding information for studies included in meta-analysis

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Huang, J.L., Blume, B.D., Ford, J.K. et al. A Tale of Two Transfers: Disentangling Maximum and Typical Transfer and Their Respective Predictors. J Bus Psychol 30, 709–732 (2015). https://doi.org/10.1007/s10869-014-9394-1

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