Document Type

Article

Publication Date

10-29-2024

Keywords

stress, psychometric properties, cognition, motivation, affect

Abstract

Background: Although the physiological stress response is well established, self-reported stress has received less attention. Some validated measures assess task-related stress via self-report in English. However, no such measure exists in Germany. Aims: To address this research gap, we translated and validated the Short Stress State Questionnaire in German (SSSQ-G). It assesses stress-related affective states (e.g., anger) and appraisals (e.g., feelings of control). We expected to replicate the factor structure of the English SSSQ in the SSSQ-G. Methods: We included the SSSQ-G in five studies that induced stress either via the gold standard task for acute stress induction – the Trier Social Stress Test (TSST) – or via a novel virtual reality (VR) task. The sample consisted of 213 participants (112 women; age: 23.36 ± 3.62 years). Results: The SSSQ-G demonstrated sensitivity to stress-induced changes (ps < .01), particularly in response to the TSST compared to the VR stress induction (p < .001 for total scale comparison between stressors). In TSST participants, the magnitudes of stress-induced changes on the SSSQ-G were larger than those on the Positive and Negative Affect Schedule (PANAS), p = .008, indicating strong construct validity. Although the SSSQ-G total score was highly reliable (α = .85, Ω = .86), factor analyses revealed a six-factor solution, with the factors representing Distress, Worry, Confidence, Negative affect, Motivation, and Self-evaluation. Limitations: The SSSQ-G appears more sensitive to state changes induced by moderate-to-severe stress tasks. Conclusion: The SSSQ-G is a reliable and valid instrument for assessing states of subjective stress.

2512-8442_a000160_esm1.pdf (138 kB)
Short Stress State Questionnaire in German (SSSQ-G).

2512-8442_a000160_esm2.pdf (115 kB)
Descriptive statistics for SSSQ-G items pre- and post-experiment for the total sample (N = 213).

2512-8442_a000160_esm3.pdf (111 kB)
Item analysis for stress-related SSSQ-G differences (Post-Pre) in and between TSST and VRSR samples.

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