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Cited by 221

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

What Is Academic Momentum? And Does It Matter?

Attewell, Paul, Heil, Scott, Reisel, Liza·2012·Educational Evaluation and Policy Analysis

Abstract

The academic momentum perspective suggests that the speed with which undergraduates initially progress in college significantly affects their likelihood of completing a degree, an effect separate from those of high school academic preparation and family socioeconomic status. Growth curve modeling of undergraduate transcript data reveals that the number of credits attempted in the first semester of college sets a trajectory that influences later chances of degree completion. Several techniques addressing selection bias indicate that delay between high school and starting college, and also attempting a low course load in the first semester (part-time attendance), are associated with lower degree completion, while attending summer school after freshman year is associated with significantly better graduation chances. In sum, the central claims of momentum theory are supported.

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Crossref · 10.3102/0162373711421958

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Metadata

Authors
Attewell, P., Heil, S., & Reisel, L.
Venue
Educational Evaluation and Policy Analysis
Published
2012-03
Volume
34
Issue
1
Pages
27-44
ISSN
  • 0162-3737 (ISSN-L)
  • 1935-1062
OpenAlex
W2142475679
Cited by
221
References
3
FWCI
24.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What Is Academic Momentum? And Does It Matter? https://app.cochat.ai/papers/10.3102/0162373711421958
The paper
Attewell, P., Heil, S., & Reisel, L. (2012). What Is Academic Momentum? And Does It Matter? Educational Evaluation and Policy Analysis. https://doi.org/10.3102/0162373711421958

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.