ERIC Number: EJ1359383
Record Type: Journal
Publication Date: 2022-Aug
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1531-7714
Reimagining MTMM Designs for Examining Intersectionality in Latent Variables
Konold, Timothy R.; Sanders, Elizabeth
Practical Assessment, Research & Evaluation, v27 Article 16 Aug 2022
The present study represents a novel method not yet used in the quantitative intersectionality literature -- the CT-C(M-1) model (Eid et al., 2003) -- for measuring and understanding the similarities and uniquenesses among intersectional subgroups. Intersectionality is a conceptual framework from which to investigate and remedy the ways in which oppression manifests at the intersections of socio-politico-geo-temporal power structure contexts and individuals' interwoven experiences of racism, sexism, and other forms of marginalization (Cho et al., 2013). Specifically, we describe and illustrate the usefulness of the CT-C(M-1) model in intersectionality research through estimation of the latent variable structure of two school climate variables (engagement and support) using data from N = 165 schools in which Black non-Hispanic students' experience is centered as the reference category, and which other race-ethnicity subgroups are compared. Consistent with prior research, our substantive findings indicated that, while a large share of commonality among subgroups was observed, Black Hispanic students experienced school climate differently from the other groups. This analytic tool adds to the growing set of quantitative methods that can aid in advancing the second goal of intersectionality research -- intervening in the status quo for true transformational change.
Descriptors: Intersectionality, Models, Educational Environment, Power Structure, Racism, Gender Bias, Disadvantaged, Ethnicity, Comparative Analysis, African American Students, Learner Engagement, Hispanic American Students, Educational Change, Secondary School Students, Multitrait Multimethod Techniques, Teacher Student Relationship, Factor Analysis, Student Attitudes
Center for Educational Assessment. 813 North Pleasant Street, Amherst, MA 01002. e-mail: pare@umass.edu; Tel: 413-577-2180; Web site: https://scholarworks.umass.edu/pare
Publication Type: Journal Articles; Reports - Research
Education Level: Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Virginia
Grant or Contract Numbers: N/A