William G. Axinn

Mixed Method Data Collection Strategies (eBook, PDF)

• Format: PDF

Produktbeschreibung

Social scientists have long relied on a wide range of tools to collect information about the social world, but as individual fields have become more specialised, researchers are trained to use a narrow range of the possible data collection methods. This book, first published in 2006, draws on a broad range of available social data collection methods to formulate a set of data collection approaches. The approaches described here are ideal for social science researchers who plan to collect new data about people, organisations, or social processes. Axinn and Pearce present methods designed to create a comprehensive empirical description of the subject being studied, with an emphasis on accumulating the information needed to understand what causes what with a minimum of error. In addition to providing methodological motivation and underlying principles, the book is filled with detailed instructions and concrete examples for those who wish to apply the methods to their research.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 25. September 2006
• Englisch
• ISBN-13: 9780511243066
• Artikelnr.: 38203326

Autorenporträt

William G. Axinn is a Sociologist Demographer and Research Professor at the Survey Research Center and Population Studies Center of the Institute for Social Research at the University of Michigan. He has directed the Population and Ecology Research Laboratory in Nepal for thirteen years. In the United States he is co-Principal Investigator of the Intergenerational Panel Study of Parents and Children (a 31-year longitudinal study) and Deputy Director of the National Survey of Family Growth (a national repeated cross-section study of US families conducted by the National Center for Health Statistics).

Inhaltsangabe

1. Motivations for mixed method social research
2. Fitting data collection methods to research aims
3. The micro-demographic community study approach
4. Systematic anomalous case analysis
5. Neighborhood history calendars
6. Life history calendars
7. Longitudinal data collection
8. Conclusion.