Reliability in Intensive Longitudinal Data (RILDA)

• Applicant: Professor Dr. Andreas Neubauer
• Subject Area: Personality Psychology, Clinical and Medical Psychology, Methodology ; Developmental and Educational Psychology
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 539621284

Intensive longitudinal data (ILD) collected in smartphone-based ambulatory assessment designs allow to capture individuals’ experiences in their everyday lives. These designs can be very valuable new data sources for social sciences to supplement traditional (longitudinal) panel designs. However, the utility of ambulatory assessments critically depends on the extent to which reliable information can be extracted from the data collected in these designs. The proposed research will therefore take a closer look at currently open questions on reliability in ILD. Specifically, the key objectives of this project are to take stock of the current state of reporting reliability estimates in ambulatory assessments, to systematically compare the performance of different reliability estimates, and to implement and evaluate a recently proposed test-retest procedure to estimate reliability in ILD on the scale level. A bouquet of methods including meta-analysis, computer simulations, and secondary data analyses will be applied to target these objectives. Results of this project will provide valuable information to decide if and under which conditions ambulatory assessment designs are useful additions to longitudinal panel studies. This is an important step towards the future development of ambulatory assessment modules that can be added to (longitudinal) panel studies or other survey designs.

• DFG Programme: Infrastructure Priority Programmes
• Subproject of: SPP 2431: Bereich Infrastruktur - New Data Spaces for the Social Sciences
• International Connection: Australia
• Cooperation Partners: Dr. Elise Kalokerinos; Dr. Peter Koval