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Rachel E. Williamson
Researcher at St. Lawrence College, Ontario
Publications - 14
Citations - 144
Rachel E. Williamson is an academic researcher from St. Lawrence College, Ontario. The author has contributed to research in topics: Anxiety & Medicine. The author has an hindex of 4, co-authored 10 publications receiving 79 citations. Previous affiliations of Rachel E. Williamson include Palo Alto University & University of Montana.
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Journal ArticleDOI
Authenticity attenuates the negative effects of interpersonal conflict on daily well-being
Robert E. Wickham,Rachel E. Williamson,Charlotte L. Beard,Charlene L.B. Kobayashi,Tom W. Hirst +4 more
TL;DR: In this paper, the authors used a diary design to examine the role of trait authenticity in buffering individuals from the negative effects of interpersonal conflict and found that trait authenticity functions independently from the previously established effects of agreeableness and neuroticism.
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Mental health responses to COVID-19 around the world.
Miranda Olff,Indira Primasari,Indira Primasari,Yulan Qing,Bruno Messina Coimbra,Ani Hovnanyan,Emma Grace,Rachel E. Williamson,Chris M. Hoeboer +8 more
TL;DR: The Global Psychotrauma Screen - Cross-Cultural responses to COVID-19 study (GPS-CCC) as mentioned in this paper was conducted to assess the impact of the COVID19 crisis on a wide range of mental health symptoms, to identify relevant risk factors, and to identify the effect of COVID 19 country impact on mental health.
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Mood management effects of brief unsupported internet interventions
TL;DR: Brief unsupported Internet interventions can improve depressive symptoms at one-week follow-up and mean scores on both positive outcomes (mood, confidence and motivation) and negative outcome scores (depression and anxiety) improved over time.
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Comparing Amazon Mechanical Turk with unpaid internet resources in online clinical trials
Eduardo L. Bunge,Haley M. Cook,Melissa J. Bond,Rachel E. Williamson,Monique Cano,Alinne Z. Barrera,Yan Leykin,Ricardo F. Muñoz +7 more
TL;DR: By using Amazon's Mechanical Turk, researchers can recruit very rapidly and obtain higher retention rates; however, these participants may not be representative of the general online population interested in clinical interventions.
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Establishing the psychometric properties of the Self and Perceived-partner Authenticity in Relationships Scale-Short Form (AIRS-SF): Measurement invariance, reliability, and incremental validity
TL;DR: In this paper, the authors evaluated the psychometric properties of Self and Perceived-partner versions of the Authenticity in Relationships Scale (AIRS) and concluded that the Self-Partner AIRS-SF predicts relationship satisfaction and commitment through interpersonal trust, independent of attachment avoidance.