Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework

Early exposure to mathematics and science is vital for fostering interest in STEM. However, gender and racial inequities are embedded barriers within education systems, particularly affecting young Black girls. This study draws from a QuantCrit framework, combining advanced statistical methods and C...

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Main Authors: Thao T. Vo, Shenghai Dai, Brian F. French
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Methods in Psychology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590260124000249
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author Thao T. Vo
Shenghai Dai
Brian F. French
author_facet Thao T. Vo
Shenghai Dai
Brian F. French
author_sort Thao T. Vo
collection DOAJ
description Early exposure to mathematics and science is vital for fostering interest in STEM. However, gender and racial inequities are embedded barriers within education systems, particularly affecting young Black girls. This study draws from a QuantCrit framework, combining advanced statistical methods and Critical Race Theory (CRT) to explore Black girls’ mathematics and science dispositions. Latent Profile Analysis is used to explore unique, characterized groups of Black girls based on their confidence, interest, value, and motivation toward STEM topics. Each profile is examined with distal achievement outcomes and opportunity-to-learn factors. Implications of this race-focused work are discussed.
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spelling doaj-art-92ffd6038eff400dbbf5beb65b6a07912024-12-17T05:00:47ZengElsevierMethods in Psychology2590-26012024-12-0111100158Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit frameworkThao T. Vo0Shenghai Dai1Brian F. French2Corresponding author. Washington State University, 351 Cleveland Hall, Pullman, WA, 99163, USA.; Department of Kinesiology and Educational Psychology, Learning and Performance Research Center, Washington State University, USADepartment of Kinesiology and Educational Psychology, Learning and Performance Research Center, Washington State University, USADepartment of Kinesiology and Educational Psychology, Learning and Performance Research Center, Washington State University, USAEarly exposure to mathematics and science is vital for fostering interest in STEM. However, gender and racial inequities are embedded barriers within education systems, particularly affecting young Black girls. This study draws from a QuantCrit framework, combining advanced statistical methods and Critical Race Theory (CRT) to explore Black girls’ mathematics and science dispositions. Latent Profile Analysis is used to explore unique, characterized groups of Black girls based on their confidence, interest, value, and motivation toward STEM topics. Each profile is examined with distal achievement outcomes and opportunity-to-learn factors. Implications of this race-focused work are discussed.http://www.sciencedirect.com/science/article/pii/S2590260124000249Black womenQuantCritLatent profile analysis
spellingShingle Thao T. Vo
Shenghai Dai
Brian F. French
Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework
Methods in Psychology
Black women
QuantCrit
Latent profile analysis
title Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework
title_full Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework
title_fullStr Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework
title_full_unstemmed Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework
title_short Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework
title_sort examining black girls mathematics and science dispositions using large scale assessment and survey data a quantcrit framework
topic Black women
QuantCrit
Latent profile analysis
url http://www.sciencedirect.com/science/article/pii/S2590260124000249
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