Weigelt, Oliver and Wyss, Claudia and Siestrup, Katja and Fellmann, Michael and Lambusch, Fabienne (2019) Ein Bild sagt mehr als tausend Worte - Entwicklung und Überprüfung einer Piktogramm-Skala zu Human Energy. Self Publication.
Full text not available from this repository.Abstract
Resource theories are dominant models in the domain of occupational stress and recovery. Numerous papers on strain and recovery either expclitly or implcitly draw on the metaphor of batteries to describe the ups and downs in individual resource status over time. This metaphor is ubiquituous in common sense, too. Taking the battery-metaphor literally, we have developed a pictorial scale to capture levels of human energy (i.e, high level of subjective vitality and low levels of fatigue). We conducted a cross-sectional survey study among 189 individuals and examined convergent and discriminant validity of the single-item-pictorial scale. Regarding convergent validity our results suggest that the pictorial scale is highly correlated with and explains up to 50 per cent of variance in subjective vitality, vigor, thriving, fatigue, emotional exhaustion, ego-depletion, and highly activated positive affect. Regarding discriminant validity our pictorial scale of human energy yields considerably lower correlations with variables expected to be largely unrelated to energy levels, such as job satisfaction, leader-member-exchange, and the big five personality traits. Retest-reliability across a time lag of 6 weeks differs considerably across measures of human energy, with the pictorial scale yielding rather high levels of volatility. The pictorial scale has been developed with an eye towards experience-sampling methodology (ESM) research and may be particularly suited for intensified repeated-measures designs. Comments from our participants suggest that the pictorial scale may be of use for purposes of guided self-reflection and coaching, too.
| Item Type: | Other |
|---|---|
| Depositing User: | Birger Lantow |
| Date Deposited: | 20 Jan 2020 10:14 |
| Last Modified: | 06 Apr 2020 15:49 |
| URI: | http://eprints.win.informatik.uni-rostock.de/id/eprint/757 |
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