Journal article

Modeling Individual Differences in Emotion Regulation Repertoire in Daily Life With Multilevel Latent Profile Analysis

Gloria Grommisch, Peter Koval, Jordan DX Hinton, John Gleeson, Tom Hollenstein, Peter Kuppens, Tanja Lischetzke



Emotion regulation (ER) repertoire-the range of different ER strategies an individual utilizes across situations-is assumed to enable more adaptive ER and greater well-being. ER repertoire has been operationalized by a quantitative index (sum of ER strategies across situations) or by applying a person-centered approach to global self-reports of dispositional ER. We aimed to assess ER repertoire in daily life by using an experience sampling methodology (ESM) and a person-centered approach that could account for nested data. We used multilevel latent profile analyses of ESM data (N = 179, 9-10 prompts per day over 21 days) to (a) group the occasions into latent profiles of momentary ER strateg..

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Awarded by Australian Research Council

Awarded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)

Funding Acknowledgements

Data and materials are accessible at: research was partly supported by a grant from the Australian Research Council (DP160102252) awarded to Peter Koval, John Gleeson, Tom Hollenstein, and Peter Kuppens. The contribution of Gloria Grommisch was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)GRK 2277, "Statistical Modeling in Psychology."