
Openness and Transparency Promotion With Existing Longitudinal Data: A Worked Example of a Coordinated Analysis
Author(s) -
Daniel K. Mroczek,
Eileen K Graham,
Emily C Willroth
Publication year - 2020
Publication title -
innovation in aging
Language(s) - English
Resource type - Journals
ISSN - 2399-5300
DOI - 10.1093/geroni/igaa057.1878
Subject(s) - openness to experience , transparency (behavior) , scripting language , extant taxon , context (archaeology) , personality , open science , computer science , open data , toolbox , data science , psychology , world wide web , social psychology , mathematics , statistics , geography , computer security , programming language , archaeology , evolutionary biology , biology
The application of openness and transparency principles is challenging when using existing or ongoing long-term longitudinal data. One technique that promotes replicability and also is consistent with openness and transparency principles is coordinated analysis. Such analyses, especially when done with a large number of extant longitudinal datasets, tend to draw upon values of data sharing, revelation of code and scripts, and pre-registration. Thus coordinated analyses often provide good examples of how multiple transparency and openness values can come together. We will demonstrate this by presenting two recent large-scale coordinated analyses. One was a 15-study investigation of personality and mortality risk (Graham et al., 2017). The second is a new 16-study investigation of personality trajectories (Graham et al., under revision). We show how multi-study designs are congruent with open science and transparency ideas in the context of longitudinal and other secondary data.