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Published November 29, 2024 | Version v3
Dataset Open

Assessing the long-term Stability of the Spielberger State-Trait Inventory trait scale over 3.5 Years

  • 1. University Medical Center Hamburg Eppendorf, Department of Systems Neuroscience
  • 2. ROR icon Kiel University
  • 3. University Medical Center Hamburg Eppendorf, Department of Systems Neuroscience; University of Würzburg, Department of Psychology
  • 4. University Medical Center Hamburg Eppendorf, Department of Systems Neuroscience; Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center Mainz; Leibniz Institute for Resilience Research (LIR), Mainz

Description

The Spielberger State Trait Anxiety Inventory (STAI) is the most cited measure of state and trait anxiety, and is routinely employed in a variety of research and clinical contexts. Here, we investigate the temporal stability as well as the convergent and discriminant validity of the German version of the STAI-T scale across multiple time points in two independent samples (105 and 120 Caucasians). We observed temporal stabilities of .42 - .67 for intervals between 20 and 41 months and from .81 - .87 for intervals of 5 to 12 months, with decreasing stability as the time interval increased. Temporal stability estimates of the STAI-T were similar to those of related constructs. Additionally, results from a nomological network support the recent conclusion that the STAI-T also shares substantial variance with questionnaires measuring negative emotionality such as depression, and hence does not measure anxiety specifically – despite its name. These results provide further psychometric information on what the STAI-T actually measures and to what extent STAI-T scores are expected to be stable across longer time intervals. This is of relevance for researchers aiming, for example, to use the STAI-T scale for predicting symptom trajectories and evaluating the effectiveness of therapeutic interventions.

Notes

The zip-folder contains the data, code, text, figures, and tables necessary to create the manuscript with the title as indicated above which can be found as preprint at PsyArXiv: https://psyarxiv.com/mubgv/. Please download the zip-folder and follow the instructions of the ReadMe-file to render the manuscript. This work was supported by a State of Hamburg excellence initiative (Landesexzellenzcluster 12/09 "neurodapt") as well as as grants awarded by the German Research Foundation in the context of the Transregional Collaborative Research Center CRC 58 with subprojects Z02 (INST 211/438-4) and B07 ( INST 211/633-1) as well as LO1980/4-1. The authors thank Caroline Rosenkranz, Claudia Immisch and Manuel Kuhn for help with data acquisition and Malin Ramm for help with data cleaning.

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