Pré-conférences > 1. Beyond Traditional Analysis: Exploring Attitudes with Response Item Networks

Pré-Conférence CIPS 2024


Beyond Traditional Analysis:

Exploring Attitudes with Response Item Networks


Lieu : salle  K 4.401 (4ème étage)

Sur inscription (60 places)


Organizers :

Renaud Mabire-Yon1, Adrian Lüders2, Philip Warncke3, Dino Carpentras4

1Umr1296 « Radiations : Défense, Santé, Environnement », Inserm, Université Lumière Lyon 2 - Bron (France), 2Institut Des Sciences De La Communication, Université De Hohenheim - Stuttgart (Allemagne), 3Département De Science Politique, Université De Caroline Du Nord - Chapel Hill (États-Unis), 5Eth Zürich, Sciences Sociales Computationnelles - Zürich (Suisse), 5Eth Zürich, Sciences Sociales Computationnelles - Zürich (Suisse)


Summary :

This workshop introduces the Response Item Networks (ResIn) approach (Carpentras et al., 2021, 2022; Lüders et al., 2024), an innovative method for capturing the complexity of attitudes in social psychology, moving beyond the constraints of traditional analyses like factor analysis or clustering. ResIn intricately maps the network of item responses, fully appreciating attitudes' complex structure without assuming any preconceived structures. This approach is timely, especially in light of findings by Breznau et al. (2022), which highlighted significant variability in outcomes among researchers analyzing identical data, underscoring the urgency for methodologies that can comprehensively navigate data's complexity without bias. 

Our session will delve into ResIn's theoretical underpinnings, practical applications through an R package. By examining works such as those by Carpentras, Lüders, & Quayle (2022) on anti-vaccine attitudes, this workshop will showcase how ResIn can reveal data structures that traditional methods overlook. Designed for researchers and advanced students, this workshop aims to inspire methodological innovation and foster a deeper, more nuanced understanding of social psychological phenomena.


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