Publications by authors named "Mario Lawes"

This pre-registered study examines the longitudinal relationships between well-being, hair cortisol (a biomarker linked to poor health), and self-reported health. Accumulated cortisol output over three months was determined quarterly over the course of one year using hair samples. Well-being was assessed as affective well-being (via experience sampling), cognitive well-being (i.

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Unemployment is widely considered an important chronic stressor. Using longitudinal data of initially employed German jobseekers, the present study examines whether unemployment is related to changes in hair cortisol concentration (HCC), a reliable biomarker for chronic stress. The results indicate that HCC is the highest initially when individuals are insecurely employed and decreases as people gain certainty about whether they enter unemployment or not.

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Reports an error in "The impact of unemployment on cognitive, affective, and eudaimonic well-being facets: Investigating immediate effects and short-term adaptation" by Mario Lawes, Clemens Hetschko, Ronnie Schöb, Gesine Stephan and Michael Eid (, Advanced Online Publication, Apr 04, 2022, np). In the original article, the letter "M" in "M1" and "M2" throughout should not be italicized. The word "occurred" is corrected to "occurred" and the word "occurring" is corrected to "occurring" in several places throughout.

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Multimethod measurement designs with planned missing data (MMM-PMD) aim at combining cheap proxy methods (e.g., self-reports) with an expensive gold standard method (e.

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[Correction Notice: An Erratum for this article was reported online in on Jun 02 2022 (see record 2022-66262-001). In the original article, the letter "M" in "M1" and "M2" throughout should not be italicized. The word "occurred" is corrected to "occurred" and the word "occurring" is corrected to "occurring" in several places throughout.

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Planned missing data (PMD) designs are an elegant way to incorporate expensive gold standard methods (e.g., biomarker) and cheaper but systematically biased methods (e.

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