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The potentials and obstacles of cross-national research : examining unemployment and young women's HIV in less developed nations / Kelly F. Austin.

By: Material type: TextSeries: Publisher: London : SAGE Publications Ltd, 2018Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781526446190 (ebook) :
Subject(s): DDC classification:
  • 616.9792 23
Online resources: Cross-national, macro-comparative research represents a growing area of focus in sociology. I have been involved in this type of research formally since 2008. This case study explores a recent study of young women's HIV and unemployment rates across less developed nations as a point of departure to consider some of the benefits and limitations of doing cross-national research. Some of the benefits include the ability to examine large-scale patterns and build data sets relatively easily with publicly available data. Some of the limitations include constraints in study design or scope due to insufficient data. I explore themes such as data availability and quality, cross-sectional versus longitudinal or panel study designs, and multicollinearity. Practical advice is offered in dealing with each of the shortcomings discussed.
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Includes bibliographical references and index.

Cross-national, macro-comparative research represents a growing area of focus in sociology. I have been involved in this type of research formally since 2008. This case study explores a recent study of young women's HIV and unemployment rates across less developed nations as a point of departure to consider some of the benefits and limitations of doing cross-national research. Some of the benefits include the ability to examine large-scale patterns and build data sets relatively easily with publicly available data. Some of the limitations include constraints in study design or scope due to insufficient data. I explore themes such as data availability and quality, cross-sectional versus longitudinal or panel study designs, and multicollinearity. Practical advice is offered in dealing with each of the shortcomings discussed.

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