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  • 标题:Problem-method fit in forest policy analysis: Empirical pre-orientation for selecting tested or innovative social-qualitative methods
  • 本地全文:下载
  • 作者:Dwi Laraswati ; Sari Rahayu ; Andita A. Pratama
  • 期刊名称:MethodsX
  • 印刷版ISSN:2215-0161
  • 电子版ISSN:2215-0161
  • 出版年度:2020
  • 卷号:7
  • 页码:1-6
  • DOI:10.1016/j.mex.2020.100794
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Graphical abstractDisplay OmittedAbstractAn array of research methods has been employed for social-qualitative inquiries. However, the selection of specific research methods has rarely been given adequate attention. We mapped out the variety of research methods used in social-qualitative inquiries used in the study of forest policy. Our “problem-method fit” map is based on the usage quantity of a method employed in specific forest policy research themes and contextual analyses. Our map provides a suitable basis for rapid appraisal before deciding appropriate research methods for future studies. While the map provides only an indication of the appropriate methods, it may be supplemented and adapted case-by-case according to the specific needs of the research theme.•We mapped the commonly used research methods in forest policy analysis•The map is “problem-method fit” for specific policy themes and contextual analyses•It can be used as for rapid appraisal when choosing appropriate research methods
  • 关键词:Rapid appraisal;Qualitative research;Forest governance;Social research;Method selection;Innovative method
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