Timing is everything: Multilevel event history analysis as a tool to model change over time in social ventures. DeGeest, D. and O'Boyle, E. Volume 9 of Research Methodology in Strategy and Management, Emerald Group Publishing Ltd., 2014.
Timing is everything: Multilevel event history analysis as a tool to model change over time in social ventures [link]Paper  abstract   bibtex   
Purpose - To review and address current approaches and limitations to modeling change over time in social entrepreneurship research. Methodology - The article provides a narrative review of different practices used to assess change over time. It also shows how different research questions require different methodologies for assessing changes over time. Finally, it presents worked examples for modeling these changes. Findings - Our review suggests that there is a lack of research in social entrepreneurship that takes into account the many different considerations for addressing how time influences outcomes. Originality/value - This chapter introduces an analytic technique to social entrepreneurship that effectively models changes in predictors and outcomes even when data are non-normal or nested across time or levels of analysis. © 2014 by Emerald Group Publishing Limited.
@book{ degeest_timing_2014,
  series = {Research {Methodology} in {Strategy} and {Management}},
  title = {Timing is everything: {Multilevel} event history analysis as a tool to model change over time in social ventures},
  volume = {9},
  isbn = {14798387 (ISSN); 9781784411428 (ISBN)},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84906243099&partnerID=40&md5=cb1ac4b5309db2804b43e0c79944b843},
  abstract = {Purpose - To review and address current approaches and limitations to modeling change over time in social entrepreneurship research. Methodology - The article provides a narrative review of different practices used to assess change over time. It also shows how different research questions require different methodologies for assessing changes over time. Finally, it presents worked examples for modeling these changes. Findings - Our review suggests that there is a lack of research in social entrepreneurship that takes into account the many different considerations for addressing how time influences outcomes. Originality/value - This chapter introduces an analytic technique to social entrepreneurship that effectively models changes in predictors and outcomes even when data are non-normal or nested across time or levels of analysis. © 2014 by Emerald Group Publishing Limited.},
  language = {English},
  publisher = {Emerald Group Publishing Ltd.},
  author = {DeGeest, D.S. and O'Boyle, E.H.},
  year = {2014},
  keywords = {Dichotomous outcomes, Entrepreneurship, Longitudinal modeling, Multilevel modeling, Research methods}
}
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