Using Conditional Inference Trees to (Re)Explore Nonprofit Board Composition
- 25 April 2022
- journal article
- research article
- Published by SAGE Publications in Nonprofit and Voluntary Sector Quarterly
- Vol. 52 (2), 529-543
- https://doi.org/10.1177/08997640221089259
Abstract
This Research Note introduces nonprofit scholars to the contemporary analytical tool of conditional inference trees as a means to shed more light on the institutional forces behind the changing composition of nonprofit boards of trustees. Revisiting the data of the Six-Cities Cultures of Trusteeship Project, this note illustrates the illuminating power of conditional inference trees for analyzing data (particularly categorical data), not well served by significance testing. Applying these popular models adds depth, nuance, and increased clarity to some of the original findings from the Six-Cities research project. This empirical case serves as a how-to for future researchers hoping to more flexibly model the relative impact of institutional (and other) variables on nonprofit organization structures, as well as expand their methodological toolkit when dealing with all sorts of regression problems.Keywords
This publication has 12 references indexed in Scilit:
- Ethno-racial Diversity on Nonprofit Boards: A Critical Mass PerspectiveNonprofit and Voluntary Sector Quarterly, 2019
- Unbiased regression trees for longitudinal and clustered dataComputational Statistics & Data Analysis, 2015
- Nonprofit Governance ResearchNonprofit and Voluntary Sector Quarterly, 2011
- SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivationNature Genetics, 2008
- Unbiased Recursive Partitioning: A Conditional Inference FrameworkJournal of Computational and Graphical Statistics, 2006
- Analyzing Categorical DataPublished by Springer Science and Business Media LLC ,2003
- Nonprofit Boards: Crucibles of Expertise or Symbols of Local Identities?Nonprofit and Voluntary Sector Quarterly, 2001
- Women on boards of nonprofits: What difference do they make?Nonprofit Management and Leadership, 1996
- Regression and time series model selection in small samplesBiometrika, 1989
- On Information and SufficiencyThe Annals of Mathematical Statistics, 1951