Supporting information for Predictors of grandparental investment decisions in contemporary Europe: Biological relatedness and beyond
Faculty of Health Engineering and Science
School or Research Centre
School of Medical Sciences
David A Coall: (firstname.lastname@example.org)
Contains supporting information explaining the data analysis in more detail and additional analyses to test the robustness of the initial multinomial logistic regression predicting grandparental investment. Table S1, Descriptive data; Table S2, Hours of grandparental investment for the almost daily level; Table S3, True confounders between biological relatedness and grandparental investment; Table S4, Mediation effect of grandparent's age by health on grandparental investment; Table S5, Independent effects of fertility rates and regions of Europe; Table S6, Results for each investment level from the multinomial logistic regression; Table S7, Binary logistic regression for the entire sample including non-investors; Table S8, Multinomial logistic regression for each grandparental investment level excluding non-investors; Table S9, Binary logistic regression excluding non-investors.
Coall, D. A., Hilbrand, S., & Hertwig, R. (2014). Supporting information for Predictors of grandparental investment decisions in contemporary Europe: Biological relatedness and beyond. Edith Cowan University. Retrieved from https://ro.ecu.edu.au/datasets/19