Related Experiment Video
Updated: Jan 29, 2026

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
Published on: September 16, 2015
Validation of the Ambivalence and Uncertainty Scale
Julia-Katharina Matthias1, Andreas M Baranowski1, Anna C Culmann1
1Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie, Universitätsklinikum Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany.
None:
Background: This study aimed to validate the Ambivalence and Uncertainty Scale (AUS), developed to measure dispositional ambivalence, ambivalence intolerance, and decision-making difficulties, particularly among healthcare professionals during high-stress situations such as the COVID-19 pandemic. Method: Cross-sectional data from 1240 German healthcare professionals were analyzed. Exploratory factor analysis (EFA) was employed to evaluate the scale's dimensionality, while internal consistency and construct validity, including convergent and divergent validity, were assessed using correlations with relevant psychological constructs. Results: The EFA revealed a unidimensional structure explaining 64.33% of variance, indicating a single underlying trait. The AUS demonstrated excellent internal consistency (Cronbach's α = 0.86) and strong convergent validity, evidenced by significant positive correlations with anxiety and depressive symptoms (r = 0.63) and burnout (r = 0.48), and a negative correlation with sense of coherence (r = -0.60). Divergent validity was supported through minimal correlation with unrelated constructs such as fatigue (r = -0.02) and a moderate correlation with work-family conflict (r = 0.31). The AUS effectively captures dispositional ambivalence and uncertainty tolerance, highlighting its relevance in psychological adaptation and resilience among professionals in stressful environments.
More Related Videos
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
10:22Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
Related Concept Videos
The Uncertainty Principle
Uncertainty in Measurement: Reading Instruments
Uncertainty: Overview
Reliability and Validity
Uncertainty in Measurement: Accuracy and Precision
pH Scale