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在一所西班牙裔服务机构中,对用于测量生物学专业学生社区文化财富的工具进行验证。

Validating an instrument for measuring community cultural wealth with biology majors at a Hispanic-serving institution.

作者信息

Eden Alexander, Dewsbury Bryan M

机构信息

Department of Biological Sciences & STEM Transformation Institute, Florida International University, Miami, Florida, USA.

出版信息

J Microbiol Biol Educ. 2024 Dec 12;25(3):e0012324. doi: 10.1128/jmbe.00123-24. Epub 2024 Oct 3.

DOI:10.1128/jmbe.00123-24
PMID:39360819
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11636281/
Abstract

Boosting underrepresented student persistence in STEM majors has been of interest for several years. Prior research has explored various factors that may influence student success and persistence in STEM majors. Specifically, some of these studies have employed Yosso's community cultural wealth framework to explore how a student's cultural wealth may link to certain outcomes. Most of these studies have taken a qualitative approach when exploring cultural wealth and less adopt a quantitative approach. Using biology students in an introductory biology class during the fall ( = 303) and spring semesters ( = 215) at a large Hispanic-serving institution in the southeastern United States, this study seeks to contribute to the literature by validating a previously constructed instrument with a new population. An exploratory factor analysis (EFA) was conducted using principal axis factoring and an oblique rotation. EFA results revealed 10 dimensions of cultural wealth. Additionally, confirmatory factor analysis confirmed that the model produced properly measures the constructs as intended. Overall, the final 56-item instrument used in this study was validated and can be used for measuring cultural wealth in similar populations.

摘要

提高STEM专业中代表性不足的学生的留存率多年来一直备受关注。先前的研究探讨了可能影响学生在STEM专业取得成功和留存的各种因素。具体而言,其中一些研究采用了约索的社区文化财富框架,以探讨学生的文化财富如何与某些结果相关联。这些研究大多在探索文化财富时采用定性方法,较少采用定量方法。本研究以美国东南部一所大型西班牙裔服务机构秋季(n = 303)和春季学期(n = 215)的生物学入门课程中的生物学学生为对象,旨在通过在新人群中验证先前构建的工具,为相关文献做出贡献。使用主轴因子分析和斜交旋转进行了探索性因子分析(EFA)。EFA结果揭示了文化财富的10个维度。此外,验证性因子分析证实该模型能够如预期那样正确测量这些构念。总体而言,本研究中使用的最终56项工具得到了验证,可用于测量类似人群中的文化财富。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/f4f9418b5d05/jmbe.00123-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/1edc52789723/jmbe.00123-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/be6141dd62bd/jmbe.00123-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/2140867a9fba/jmbe.00123-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/a79d315496ea/jmbe.00123-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/718167a62c61/jmbe.00123-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/9393341bf75c/jmbe.00123-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/f4f9418b5d05/jmbe.00123-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/1edc52789723/jmbe.00123-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/be6141dd62bd/jmbe.00123-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/2140867a9fba/jmbe.00123-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/a79d315496ea/jmbe.00123-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/718167a62c61/jmbe.00123-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/9393341bf75c/jmbe.00123-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beca/11636281/f4f9418b5d05/jmbe.00123-24.f007.jpg

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