Data Management for Meta-Analyses of Causal Models and Measurements in Survey Research

Crucial to social research is the sustainable design and repeated usage of measurement instruments. In addition, it is important that researchers are able to find and compare relevant models and scales in order to make appropriate decisions.
Therefore we propose a database that allows to create a joint collection of (causal) models and (multi-item) scales in order to enable a more extensive data usage for automation of scientific workflows, for the generation of recommendations and for meta-analyses. This includes finding appropriate constructs and scales, comparisons of items and quality measures as well as the detection of undocumented links between different topics and disciplines.
In order to illustrate the potential, we refer to several approaches of measuring Technology Acceptance.