Advancing Culturally Responsive Research and Researchers (eBook, PDF)

Qualitative, Quantitative, and Mixed Methods
Redaktion: Pasque, Penny A.; Alexander, E.

• Format: PDF

Produktbeschreibung

Advancing Culturally Responsive Research and Researchers: Qualitative, Quantitative and Mixed Methods encourages readers to design and engage in methodologies and methods that place cultural relevancy at the center of inquiry.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 276
• Erscheinungstermin: 19. August 2022
• Englisch
• ISBN-13: 9781000640892
• Artikelnr.: 64236828

Autorenporträt

Penny A. Pasque is a Professor in Educational Studies, Director of Qualitative Methods and Director of the QualLab in the Office of Research, Innovation and Collaboration (ORIC) in College of Education and Human Ecology at The Ohio State University. She is editor of the Review of Higher Education (with Nelson Laird). e alexander is an Assistant Professor at the University of Kansas, and qualitative-leaning mixed methodologist who enjoys learning with others about tailoring research to be grounded in community and place.

Inhaltsangabe

1. Introduction: The Importance of Culturally Responsive Research and
Culturally Responsive Researchers. Section I: Contexts and Considerations
for Quantitative, Qualitative, and Mixed Methods Research. 2. The
Transformative Paradigm: An Evolving Journey in Methods and Social Justice
Aims. 3. Culturally Responsive Post-Qualitative Research. 4. Must an
Education in Research Ethics Engage Issues of Culture, Context, and
Community?. Section II: Qualitative Innovations. 5. Teaching and Engaging
Autoethnogaphy as Qualitative Engagement. 6. Critical, De/colonial, and
Contemplative Approaches to Qualitative Inquiry. 7. Intersectionality as a
Lens in Qualitative Research: Possibilities, Problems, and Practices. 8.
good kid, m.A.A.d research: Culturally Sustaining Research and Calling Out
the White Gaze in Our Epistemologies. Section III: Quantitative and Mixed
Methods Innovations. 9. Using Counterfactual Modeling and Machine Learning
Generated Propensity Scores to Examine Black Social Control and
Mathematics. 10. Examining Discipline from an Intersectional Lens. 11.
Detecting Differential Effects Using Regression Mixture Models:
Applications Using Mplus. 12. The Utility of Critical Race Mixed
Methodology: An Explanatory Sequential Example. 13. Advancing Critical Race
Spatial Analysis: Implications for the use of GIS in Educational Research.
Section IV: The Future of Culturally Responsive Research. 14. The Future:
Advancing Innovations of Culturally Sustaining Research and Researchers.