Summary of the final step of hierarchical regression models predicting outcomes (science identity, deep interest, & persistence intentions) from relevant predictors and controls.

Paul R. Hernandez (4560274)
Brittany Bloodhart (671197)
Rebecca T. Barnes (633895)
Amanda S. Adams (4560268)
Sandra M. Clinton (4560271)
Ilana Pollack (4560265)
Elaine Godfrey (4560262)
Melissa Burt (4560277)
Emily V. Fischer (4560259)

Publication date

November 2017

DOI

10.1371/journal.pone.0187531.t002

Abstract

<p>Summary of the final step of hierarchical regression models predicting outcomes (science identity, deep interest, & persistence intentions) from relevant predictors and controls.</p

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Summary of the final step of hierarchical regression models predicting outcomes (science identity, deep interest, & persistence intentions) from relevant predictors and controls.

Abstract

Extracted data

Summary of the final step of hierarchical regression models predicting outcomes (science identity, deep interest, & persistence intentions) from relevant predictors and controls.

Abstract

Extracted data

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