Psychological dimensions of the impact of Covid-19 emergency

By Cristina Cabras, Silvia De Simone, Barbara Barbieri and Mirian Agus, University of Cagliari

How did the pandemic scenario affect the performance of the academic staff? In order to answer to this question, in the context of the SUPERA project the University of Cagliari developed a survey with the aim to explore the impact of psychological, sociological, economics and communicative dimensions on the productivity of the academic staff during the Covid-19 crisis. This report anticipates the preliminary results concerning the psychological dimensions.

The survey was administered to 968 participants between September and October 2020 with a response rate of about 25%; the participation was completely voluntary, and the questionnaire ensured anonymity. A total of 243 participants (researchers, associate and full professors), 50% men and 50% women, ranging from 30 to 70 years old, completed the questionnaire. Ot them, almost 56% of participants have children.

We investigated the relation among perceived stress, work-family interface, workload, perceveid organizational support, work engagement, workplace social isolation, scientific productivity and satisfaction. To measure these variables, we administered standardized scales.

Multivariate analysis

We performed the multivariate analysis of variance (MANOVA) to determine if there were significant differences between gender, academic position, presence/absence of children, scientific productivity and productivity satisfaction on the variables studied. The multivariate analysis of variance has age as a covariate.

While the results show a significant effect regarding gender, academic position, presence/absence children, productivity satisfaction, no significant effect was found on scientific productivity.

The results show that women feel more negative stress. A possible interpretation is that they feel to have less control over the most important aspects of their life and also to face too many difficulties in working environments.

Moreover, women perceive greater organizational support. In other words, they feel that their contributions and their efforts are appreciated, believing that the organization cares about their well-being and their job satisfaction. In addition to that, we found a significant effect regarding the academic position in relation to the negative interface of the family at work. In particular, the results show that full and associate professors have the highest levels of negative interface from family to work. This could mean that they have more problems with family interference in carrying out work assignments. In contrast, researchers hired on temporary contracts have the lowest levels of interference from family to work. The results show the highest levels of workload for associate and full professors: they are frequently asked to work hard and fast. On the other hand, researchers hired on temporary contracts have fewer workloads: this could mean that, compared to the other roles, they perceive a greater usefulness of their job duties and perceive they have less workload in terms of quality and quantity.

The presence of children is associated with higher levels of negative interference from work to family. It’s likely that those who have children have more negative relationships between work and family. Moreover, the presence of children is associated with higher levels of negative interference from family to work: those who have children have more negative interactions between family and work.

Finally, the results show that high levels of productivity satisfaction are associated with positive interference from work to family. It could mean that those with high satisfaction have positive experiences of interference from work to family.

Regression model

In order to test the role of the different dimensions of the work-family interface, workload and perceived organizational support on positive and negative perceived stress, productivity and productivity satisfaction, four regressions were conducted.

The regression models considered as dependent variables respectively: positive stress, negative stress, scientific productivity and satisfaction productivity; while as independent variables we have two blocks: workload and perceived organizational support, the four work-family interface dimensions.

Three models were significant, while the regression model of the scientific productivity variable did not show significant results.

The first regression model (dependent variable: Positive Perceived Stress) explains 6.3% of the variance, the second regression model (dependent variable: Negative Perceived Stress) explains 20% of the variance, and the third regression model (dependent variable: productivity satisfaction) explains 18% of the variance; instead, the four regression model (dependent variable: scientific productivity) did not show significant results.

Specifically, the results of the first regression show that only the positive work-to-family spillover is predictive of the positive perceived stress; there is therefore a positive association between the positive perception of stress and the positive work-to-family direction.

The results of the second regression show three predictors with a significant influence on the negative perceived stress. In particular, the data show a negative relationship between age and the negative perceived stress, between the positive work-to-family spillover and the negative perceived stress, while there is a positive relationship between the negative work-to-family spillover and the negative perceived stress.

Finally, there are two predictors for the productivity satisfaction dimension. The data show a positive relationship between positive work-to-family spillover and productivity satisfaction, while there is a negative relationship between the negative family-to-work spillover and productivity satisfaction.

SUMMARY

  • Women feel more negative stress, even though at the same time they feel more supported by their own organization.
  • Full professors and associate professors are those who perceive the most workload and who perceive a conflict between the family and work domains with the family that negatively interfere with work.
  • Parents experience more negative stress than non-parents, but they feel more supported by the organization and experience more negative work-to-family and family-to-work spillover.
  • Positive stress is more associated with positive work-to-family spillover.
  • Negative stress is more associated with age (with increasing age, negative stress decreases) and with positive and negative work-to-family spillover.
  • Satisfaction with scientific productivity is mostly associated to a positive work-to-family spillover and to negative family-to-work spillover.
  • Scientific productivity is not explained by the dimensions analyzed in this study.
2021-07-20T10:34:29+02:00March 31st, 2021|Tags: , , , , , |

Workshop on gender equality plans and structural change in Horizon Europe

By Lucy Ferguson, Workshop Rapporteur

In the last face-to-face event many of us attended before the COVID-19 pandemic was declared, the Directorate-General for Research and Innovation hosted a workshop on “Fostering institutional change through Gender Equality Plans (GEPs) and the way forward towards Horizon Europe” on 4thMarch in Brussels. The workshop was attended by a range of participants involved in structural change projects across the EU, including project coordinators, evaluators and team members, with the aim of strengthening gender equality provisions in the future EU funding programme Horizon Europe, building on a series of co-creation and outcomes of consultation with stakeholders. I would like to take a moment to acknowledge our Italian colleagues who were unable to join in person, and connected from home, in a way that we would all come to know as normal in the months that followed. This article highlights some of the main discussions and recommendations. A full workshop report will also be published by the European Commission later this year, along with an in-depth analytical review of structural change for gender equality in research and innovation.

Opening the workshop, Jean-Eric Paquet, Director-General, DG Research and Innovation, European Commission highlighted that all public institutions will be required to design and implement a gender equality plan in order to be eligible for funding under the Horizon Europe Framework Programme. Mina Stareva, Head of Sector Gender, E5-Democracy & European values, DG Research and Innovation outlined the key pillars of Horizon Europe and how provisions for gender equality have been strengthened at the level of implementation and targeted support, and invited participants to be “bold, frank, direct and ambitious” in their contributions. Invited speaker Marcela Linkova, Coordinator of the GENDERACTION project, noted that this is a very exciting time for people working on structural change, particularly for countries that are less advanced in gender equality in research and innovation.

Following in-depth discussions of key questions, recommendations were developed in three areas. In terms of implementing gender equality plans and good practices, recommendations included: embed a focus on the process in structural change projects – participation, ownership and reflexivity; spread responsibility for GEP implementation across the whole institution in order to increase accountability for successes and failures; and develop support structures for core teams in the form of time and resources, as well as make such work visible within the overall academic culture. Recommendations to further gender equality plans included: develop synergies between the Research and Innovation Framework Programme and Structural Funds; engage civil society more substantively in structural change in research and innovation, in particular in relation to SDG 5; and consider how to strategically engage the private sector in funding aspects of GEP implementation. Finally, the participants discussed how to support gender equality plans, such as: establish a Competency Centre on Gender with an integrated Helpdesk and capacity development component; and set up a Gender Equality Taskforce to facilitate regular contact between relevant actors and stakeholders.

Three over-arching take-away messages were drawn from the workshop discussions. First, the need to focus on process, not outcomes.  Second, the importance of a reflexive approach. Third, the value of participation in building consensus and ownership for gender equality across an institution. Fourth, the need to explicitly acknowledge the highly political and politicised nature of structural change.

In conclusion, participants agreed that ongoing mutual learning and critical reflection – both within research and innovation and more broadly in other fields – are the key to ensuring that structural change for gender equality in Horizon Europe is transformative and sustainable.