Approaches to Mixed Methods Research focuses on the choices social scientists make when designing a study that mixes quantitative and qualitative data. Authors Lisa D. Pearce and Jessica Halliday Hardie explore ways to weave together strands of research using qualitative and quantitative data to speak to and enhance each other; a strand being a series of steps involved in collecting and analyzing a single type of data. The result, they show, is a more holistic body of evidence that emerges, and they illustrate this with examples from a wide range of studies from the United States and other countries.
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Lisa D. Pearce is Professor and Chair of the Department of Sociology at the University of North Carolina at Chapel Hill. She is also a Faculty Fellow at the Carolina Population Center. Her research examines how religions and families shape ideas and behavior from youth into adulthood–in the U.S. and Nepal. Pearce has published three previous books, and her articles have appeared in outlets such as Social Forces, Journal for the Scientific Study of Religion, and Journal of Marriage and Family. Pearce’s research often integrates the collection and analysis of qualitative and quantitative data, and she writes and teaches about mixed methods research.
Jessica Halliday Hardie is Professor of Sociology at Hunter College, City University of New York. She is a faculty affiliate and current Interim Associate Director at the CUNY Institute for Demographic Research. Hardie specializes in the areas of inequality, family, health, education, work, social demography, and the transition to adulthood. She is the author of Best Laid Plans: Women Coming of Age in Uncertain Times, published by the University of California Press. Her work has appeared in journals such as Social Forces, Journal of Marriage and Family, Sociology of Education, Social Problems, Socius, and Journal of Health and Social Behavior.
Approaches to Mixed Methods Research shows how social scientists design studies that mix quantitative and qualitative data in ways that lead to a more holistic body of evidence from the research.
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