Bias and Beyond
Rethinking Data Practices and Inspiring Collective Dialogue
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- Description
- Contents
- About
The rapid expansion of data in every facet of modern life from research and education to public policy and private industry demands a critical re-examination of how data is collected, analyzed, interpreted, and used. Bias and Beyond: Rethinking Data Practices and Inspiring collective dialogue responds to this call by exploring how bias enters the data lifecycle and how inclusive, reflexive, and equity-centered methodologies can improve the validity and impact of data-driven decisions.
Structured around the four stages of the data lifecycle including problem formulation, data collection, analysis, and use, this volume brings together diverse voices to interrogate systemic inequities and offer practical strategies for inclusive data practices. Drawing from qualitative, quantitative, and mixed methods, each chapter highlights the role of researcher positionality, power, and representation in shaping outcomes and knowledge.
Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice. It will serve as a timely and essential resource for researchers, educators, policymakers, and students committed to data justice and ethical inquiry.
Chapter 1. Rethinking Data Life Cycle Practices: The Value of Applying Reflexivity Methods to Current Data Practices; EllenMarie McPhillip
- Chapter 2. What Are We Even Measuring?: The Role of Survey Questions in Demographic Data Collection; Joelle A. Dorsett, Alexis R. Franklin, Regine Thermy Jean Baptiste, Marisol L. Meyer, and Guerda Nicolas
- Chapter 3. Using Course Evaluations to Assess Diversity, Equity, and Inclusion: A Case Study on Measuring Difficult Concepts with Problematic Instruments; April Mann, Cameron Riopelle, and Adina Sanchez-Garcia
- Chapter 4. Garbage In, Garbage Out!: A Commentary on Bias in Standardized Assessments; Murat Kasli, Celia Rubio, and Cengiz Zopluoglu
- Chapter 5. From a Different View: Addressing Bias in Qualitative Research; Jessica Wendorf Muhamad, Kallia O. Wright, and Tyler R. Harrison
- Chapter 6. Current Practices of Meta-Analytic and Systematic Reviews in Education Toward Unbiased, Inclusive, and Representative Research Evidence; Soyeon Ahn, Ryan C. Schooley, Beck Graefe, and Ching-Hua Chuan
- Chapter 7. Adult College (Re)Enrollment Advice & Information Networks: A Descriptive Analysis; Willis A. Jones
- Chapter 8. Systemic Racial Disparities in Large Data on School District Finance & Housing: Three Empirical Illustrations; Bruce D. Baker and Wendy Castillo
- Chapter 9. Considering Quality Indicators of Mixed Methods Research; Wendy Cavendish and Ignacio Barrenenchea
Soyeon Ahn, Ph.D. is a Professor in the Research, Measurement, and Evaluation Program at the University of Miami’s School of Education and Human Development.
April Mann, EdD, is the director of the Writing Center and a senior lecturer in the Department of Writing Studies at the University of Miami.