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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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| 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. |
| format | Article |
| id | doaj-art-92ffd6038eff400dbbf5beb65b6a0791 |
| institution | Kabale University |
| issn | 2590-2601 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Methods in Psychology |
| 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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