Psychometric Properties and Validation of a German High Sensitive Person Scale (HSPS-G)
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- Sandra Konrad
- Department of Personality Psychology and Psychological Assessment, Helmut-Schmidt-University, University of the German Federal Armed Forces Hamburg, Germany
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- Philipp Yorck Herzberg
- Department of Personality Psychology and Psychological Assessment, Helmut-Schmidt-University, University of the German Federal Armed Forces Hamburg, Germany
説明
<jats:p> Abstract. High sensitivity is an individual disposition to perceive and process external and internal stimuli more intensely than the average population. For measuring high sensitivity, Aron and Aron (1997) developed a unidimensional self-report questionnaire. However, Smolewska, McCabe, and Woody (2006) fitted a model with three correlated factors: ease of excitation, aesthetic sensitivity, and low sensory threshold. Both models were questioned by Evans and Rothbart (2008) who postulated a two-factor structure: negative affect and orienting sensitivity. Nonetheless, the studies presented so far are based on small samples and did not address the issues of the ordinal data and measurement invariance. We presented the first study that compared all postulated models, thereby taking the ordinal data into account, and evaluated the measurement invariance. We adopted the High Sensitive Person (HSP)-Scale for German-speaking populations and found that a three-factor model provided the best fit. However, we excluded 13 items because of their low factor loadings or high intercorrelations. The revised HSP-Scale fit a three-factor model. Furthermore, we could establish a high level of measurement invariance (strict invariance), indicating equality of loadings, thresholds, and residual variances across sex. The scale showed good psychometric properties and high test-retest reliability. Finally, relationships with psychological symptoms were presented. </jats:p>
収録刊行物
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- European Journal of Psychological Assessment
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European Journal of Psychological Assessment 35 (3), 364-378, 2019-05
Hogrefe Publishing Group
