Conveners
Symposium: Advances in quantitative methods in psychological science: Recent developments and novel applications
- Martin Voracek (University of Vienna)
- Ulrich S. Tran (Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna)
Description
Current early career researchers (ECRs) in psychology belong to the very first cohorts professionally socialized and educated vis-à-vis the full gamut of changes in research methods and practices (“credibility revolution“, method reform and innovation, open science) brought along by the 2010s replicability debates. This symposium assembles recent method developments and novel applications devised in this spirit, with ECRs taking the lead. The unifying theme is tailor-made solutions to newly emerged, or complex, research questions and needs, fulfilled under conditions of open access, data, materials, and code. Presentations include: (1) the implementation of a community-augmented, open web platform for “living“ meta-analyses (Bucher); (2) a multigroup cross-lagged panel analytic approach for studying changes in conspiracist beliefs (Starlinger); (3) a generalized canonical correlation framework investigating psychological signatures in literary translations (Kern); (4) cross-temporal multiverse analysis for robustness analyses of dynamically changing data (Panzenböck); (5) a freely accessible web calculator and learning environment for interrater agreement measures (Baliko).
Various open-repository concepts have been developed to improve the accessibility, reproducibility, and timeliness of research syntheses. One such concept, community-augmented meta-analysis (CAMA), aims to keep meta-analyses up-to-date by allowing the research community to contribute and continuously include new evidence. In 2021, the Leibniz Institute for Psychology (ZPID) released the first...
Investigations into the psychology of conspiracy theories have burgeoned recently, but few extant studies have longitudinal designs, which allow researchers to understand how conspiracy theories have changed over time. To this end, we made serendipitous use of unique historical events to implement a planned multigroup cross-lagged panel analytic approach to this theme. We assessed novel...
Decisions in data analysis often are arbitrary. Addressing such “researcher degrees of freedom”, multiverse analysis is an approach that identifies all reasonable data-analytic specifications and calculates results for all possible combinations thereof. Here, we propose cross-temporal multiverse analysis as an extension, by accounting for the temporal dimension in case of dynamically changing...
