Research Output
Urassa, M., Lawson, D.W., Wamoyi, J., Gurmu, E., Gibson, M.A., Madhivanan, P. and Placek, C., 2021. Cross-cultural research must prioritize equitable collaboration. Nature Human Behaviour, pp.1-4. https://doi.org/10.1038/s41562-021-01076-x
Howard, J.A., Gibson, M.A. (in review) No relationship between FGM and IPV in six sub-Saharan African Countries Global Public Health
References
Alvergne, A. Gurmu, E. & Mace, R (2011) Social transmission and the adoption of modern contraception inrural Ethiopia. PLOS ONE 6, e22515.
Aronow, P.M. et al. (2015) Combining list experiment and direct question estimates of sensitive behaviourprevalence. Journal of Survey Statistics and Methodology, https://doi.org/10.1093/jssam/smu023
Berg, R.C. et al., (2014) Effects of female genital cutting on physical health outcomes, a systematic reviewand meta-analysis. BMJ Open http://dx.doi.org/10.1136/bmjopen-2014-006316.
Bicchieri, C. (2017) Norms in the Wild: How to Diagnose, Measure and Change Social Norms. New York:Oxford University Press.
Blair, G. & Imai, K. (2010) R package: statistical methods for the item count technique and list experimentv.8.0.
Blair, G & Imai, K. (2012) Statistical analysis of list experiments. Political Analysis, 20, 1, pp47-77.
Christakis, N. A., & Fowler, J. H. (2007). The Spread of Obesity in a Large Social Network over 32 Years. NewEngland Journal of Medicine. https://doi.org/10.1056/NEJMsa066082.
Christakis, N. A., & Fowler, J. H. (2013). Social contagion theory: Examining dynamic social networks andhumanbehavior. Statistics in Medicine. https://doi.org/10.1002/sim.5408.
Cislaghi. B. et al (2019) Changing Social Norms: The Importance of ” Organized Diffusion” for Scaling Up Community Health Promotion and Women Empowerment Movements. Prevention Science. https://doi.org/10.1007/s11121-019-00998-3.
DHS/CSA (2016) Ethioipia Demographic Health Survey: Final Report, Calverton, Maryland: MacroInternational.
Gayen, K., & Raeside, R. (2010). Communicative actions, women’s degree of social connectedness and childmortality in rural Bangladesh. Child: Care, Health and Development. https://doi.org/10.1111/j.1365-2214.2010.01099.x.
Glynn, A.N. (2013) What can we learn with statistical truth serum? Design and analysis of the listexperiment. Public Opinion Quarterly, 77, pp159-172.
Gibson, MA, Gurmu, E et al (2018) Indirect questioning method reveals hidden support for female genitalcuttig in South Central Ethiopia. PLOS ONE https://doi.org/10.1371/journal.pone.0193985.
Imai, K. (2011). Multivariate regression analysis for the item count technique Journal of the AmericanStatistics Association, 106, 494, pp407-416.
Mackie, G., & LeJeune, J. (2009). Social dynamics of abandonment of harmful practices: A new look at thetheory. Florence: UNICEF.
Mackie, G., Moneti, F., Shakya, H., & Denny, E. (2015). What are social norms? How are they measured? NewYork: UNICEF and UCSD.
Marin, A. (2004). Are respondents more likely to list alters with certain characteristics? Social Networks,26(4), 289–307. https://doi.org/10.1016/j.socnet.2004.06.001.
Nuno, A & St John, F.A.V. (2015) How to ask sensitive questions in conservation: A review of specializedquestioning techniques. Biological Conservation 189, pp5-15.
Novak, L. (2019) Persistence norms and tipping points: Female genital cutting in Burkino Faso. Workingpaper accessed 14th May, 2019 https://drive.google.com/file/d/1xea77ItbOB0wsPQQzwhKE2HIFWWfPD-f/view.
Peterman. A. & Palermo., (2018) Measuring taboo topics: List randomization for research on gender-basedviolence. UNICEF.org https://blogs.unicef.org/evidence-for-action/measuring-taboo-topicslist-randomization-for-research-on-gender-based-violence/ (accessed 9th May, 2019).
Population Council/UKAID (2015) Evidence to End FGM/C. https://www.popcouncil.org/research/evidence-to-end-fgm-c-research-to-help-girls-and-women-thrive1 (accessed 9th May, 2019).
Robins, G., Pattison, P., Kalish, Y., & Lusher, D. (2007). An Introduction to Exponential Random Graph (P*)Models for Social Networks. Social Networks, 29(2), 173–191. https://doi.org/10.1016/j.socnet.2006.08.002.
Shakya, H. B., Christakis, N. A., & Fowler, J. H. (2015). Social network predictors of latrine ownership. SocialScience and Medicine. https://doi.org/10.1016/j.socscimed.2014.03.009.
Shell-Duncan, B; Moreau, A., Wander, K., and Smith, S. (2018a) The role of older women in contesting normsassociated with female genital mutilation/cutting in Senegambia: a factorial focus group analysis. PLOSONE, 13(7), e0199217.
Shell-Duncan, B; Moreau, A., Smith, S., & Shakya, H (2018b) Women’s Business? A social network study o fthe influence of men on decision-making regarding female genital mutilation/cutting in Senegal. Paper for the 2nd International Meeting on Female Genital Mutilation/Cutting. Data Sharing and Experience,Improving Collaborations.
Snijders, T. A. B., & Lomi, A. (2018). Beyond Homophily: Incorporating Actor Variables in Actor-OrientedNetwork Models. ArXiv Preprint ArXiv:1803.07172.
UNFPA (2015) Female genital mutilation: overview. ttps://www.unfpa.org/female-genital-mutilation,accessed 10th May, 2019.