0000000001210167
AUTHOR
Christina Guthier
sj-pdf-1-pom-10.1177_03057356211013504 – Supplemental material for The phantoms of the opera—Stress offstage and stress onstage
Supplemental material, sj-pdf-1-pom-10.1177_03057356211013504 for The phantoms of the opera—Stress offstage and stress onstage by Anja-Xiaoxing Cui, Negin Motamed Yeganeh, Olga Sviatchenko, Thea Leavitt, Taylor McKee, Christina Guthier, Nancy Hermiston and Lara Boyd in Psychology of Music
Successful and Positive Learning Through Study Crafting: A Self-Control Perspective
Using social media and other Internet-based sources could distract students from decent academic learning and lead to negative learning, and self-control is required to foster self-regulated learning. Self-control involves the trait-like capacity for self-control and the state-like level of self-control strength, which could be used for performing self-control tasks. Capacity for self-control can be increased by regularly practicing self-control similar to a muscle that needs training for strengthening. We encourage creating study environments in which self-control is reasonably demanded. In particular, we propose that students should be enabled to engage in study crafting behavior. Study c…
Translating cross-lagged effects into incidence rates and risk ratios: The case of psychosocial safety climate and depression
Longitudinal studies are the gold standard of empirical work and stress research whenever experiments are not plausible. Frequently, scales are used to assess risk factors and their consequences, and cross-lagged effects are estimated to determine possible risks. Methods to translate cross-lagged effects into risk ratios to facilitate risk assessment do not yet exist, which creates a divide between psychological and epidemiological work stress research. The aim of the present paper is to demonstrate how cross-lagged effects can be used to assess the risk ratio of different levels of psychosocial safety climate (PSC) in organisations, an important psychosocial risk for the development of dep…
sj-pdf-1-pom-10.1177_03057356211013504 – Supplemental material for The phantoms of the opera—Stress offstage and stress onstage
Supplemental material, sj-pdf-1-pom-10.1177_03057356211013504 for The phantoms of the opera—Stress offstage and stress onstage by Anja-Xiaoxing Cui, Negin Motamed Yeganeh, Olga Sviatchenko, Thea Leavitt, Taylor McKee, Christina Guthier, Nancy Hermiston and Lara Boyd in Psychology of Music
Online_Supplement_S-3 - Introducing Continuous Time Meta-Analysis (CoTiMA)
Online_Supplement_S-3 for Introducing Continuous Time Meta-Analysis (CoTiMA) by Christian Dormann, Christina Guthier and Jose M. Cortina in Organizational Research Methods
The phantoms of the opera—Stress offstage and stress onstage
During opera performance singers deliver vocally demanding roles, follow a conductor, portray emotions of a musical work, act, dance, and engage with costumes, sets and props before an audience. Hence, opera performance is a stressful experience. This study examined different types of stress experiences by measuring the trajectories of 10 opera trainees’ heart rate variability (HRV) during two performances, covering onstage and offstage periods. We explored connections between HRV, self-reported stress measures, and expert-rated difficulty of the performed roles. We discovered that opera trainees had lower HRV and thus experienced greater physiological stress, while onstage compared to off…
Introducing Continuous Time Meta-Analysis (CoTiMA)
Meta-analysis of panel data is uniquely suited to uncovering phenomena that develop over time, but extant approaches are limited. There is no straightforward means of aggregating findings of primary panel studies that use different time lags and different numbers of waves. We introduce continuous time meta-analysis (CoTiMA) as a parameter-based approach to meta-analysis of cross-lagged panel correlation matrices. CoTiMA enables aggregation of studies using two or more waves even if there are varying time lags within and between studies. CoTiMA thus provides meta-analytic estimates of cross-lagged effects for a given time lag regardless of the frequency with which that time lag is used in p…
Online_Supplement_S-4 - Introducing Continuous Time Meta-Analysis (CoTiMA)
Online_Supplement_S-4 for Introducing Continuous Time Meta-Analysis (CoTiMA) by Christian Dormann, Christina Guthier and Jose M. Cortina in Organizational Research Methods
Online_Supplement_S-5 - Introducing Continuous Time Meta-Analysis (CoTiMA)
Online_Supplement_S-5 for Introducing Continuous Time Meta-Analysis (CoTiMA) by Christian Dormann, Christina Guthier and Jose M. Cortina in Organizational Research Methods
Online_Supplement_S-6 - Introducing Continuous Time Meta-Analysis (CoTiMA)
Online_Supplement_S-6 for Introducing Continuous Time Meta-Analysis (CoTiMA) by Christian Dormann, Christina Guthier and Jose M. Cortina in Organizational Research Methods
Online_Supplement_S-1_CoTiMA_V1.1_edit - Introducing Continuous Time Meta-Analysis (CoTiMA)
Online_Supplement_S-1_CoTiMA_V1.1_edit for Introducing Continuous Time Meta-Analysis (CoTiMA) by Christian Dormann, Christina Guthier and Jose M. Cortina in Organizational Research Methods
Online_Supplement_S-2_CoTiMA_V1.1_noedit - Introducing Continuous Time Meta-Analysis (CoTiMA)
Online_Supplement_S-2_CoTiMA_V1.1_noedit for Introducing Continuous Time Meta-Analysis (CoTiMA) by Christian Dormann, Christina Guthier and Jose M. Cortina in Organizational Research Methods