A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

A Many-analysts Approach to the Relation Between Religiosity and Well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β = 0.120). For the second research question, this was the case for 65% of the teams (median reported β = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

Hurdles, Barriers, and Successes of a National Living Donor Kidney Exchange Program

Background. Living donor kidney exchange is now performed in several Countries. However, no information is available on the practical problems inherent to these programs. Here, we describe Our experiences with 276 Couples enrolled in the Dutch program. Methods. Our protocol consists of five steps: registration, Computerized matching, crossmatching, donor acceptation, and transplantation. We prospectively collected data of each step of the procedure. Results. Of the 276 registered pairs we created 183 computer-matched combinations. However, 62 of 183 recipients proved to have a positive crossmatch with their new donor, which was not predicted by the screening results of the recipient centers. Alternative solutions were found for 39 couples, resulting in a total of 160 new combinations with negative crossmatches. Thereafter, because of 22 individual clinical problems, the exchange procedure had to be discontinued for 51 couples while only for 19 of them alternative solutions were found. At the end of day, 128 patients had received exchange kidneys, 55 were transplanted outside the program, 59 are still oil the crossover waitlist, and 34 had left the program for medical or psychological reasons. Conclusion. A living donor kidney exchange program is a dynamic process. Many clinical hurdles and barriers are encountered that for a large part were not foreseen but should be taken into account When programs are initiated based on computer simulations. Success is dependent oil a flexible organization able to create alternative solutions when problems arise. Centralized allocation and crossmatch procedures are instrumental in this respect