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Expectancy value theory's contribution to unpacking the black box of motivation

Jacquelynne S. Eccles & Allan Wigfield

Behavioral and Brain Sciences2025https://doi.org/10.1017/s0140525x24000475article
AJG 4
Weight
0.41

What the paper says

Although in basic agreement with Murayama and Jach's call for greater attention to the black boxes underlying motivated behavior, we provide examples of our published suggestions regarding how subjective task value (and ability self-concepts) "gets into people's knowledge structures." We suggest additional mental computational processes to investigate and call for a developmental and situated individual differences approach to this work.

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https://doi.org/https://doi.org/10.1017/s0140525x24000475

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@article{jacquelynne2025,
  title        = {{Expectancy value theory's contribution to unpacking the black box of motivation}},
  author       = {Jacquelynne S. Eccles & Allan Wigfield},
  journal      = {Behavioral and Brain Sciences},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1017/s0140525x24000475},
}

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Expectancy value theory's contribution to unpacking the black box of motivation

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.