I am primarily interested in teaching statistics and survey methodology. My teaching experience includes the supervision of bachelor theses, seminars, and lectures. I have taught everything from basic beginners' statistics to structural equation modeling in R, JASP, SPSS, Excel (with add-on packages), and manual calculations. I have also instructed students in survey construction and how to distribute them with survey programs such as Survey & Report and Qualtrics. Additionally, I have previously taught teachers how to develop course evaluation surveys and analyse and interpret the results. Further, I have consulted with researchers on the utilization and development of surveys for their research projects.

My PhD project encompasses three studies that focus on the health and well-being of self-employed workers, who constitute a growing and significant yet often overlooked group of workers. In these studies, I employ methods that are not commonly utilized within this field. These methods allow me to thoroughly examine assessment tools, study health over extended time periods, and explore life fulfilment.

I engage in additional research projects outside of my thesis work whenever time allows. These projects typically focus on areas such as health and work, self-employed workers, or the statistical methods I utilize, including Bayesian structural equation modeling (BSEM), multilevel modeling (MLM), and latent profile/latent transition analysis (LPA/LTA).

Feel free to contact me if you want to collaborate!

 

Phd project

Study 1 Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers – Application of Approximate Bayesian Measurement Invariance.

In this first study, we used Bayesian structural equation modeling to conduct a thorough examination of common assessment tools used to evaluate mental health in self-employed workers. We aimed to exam the conventional notion that self-employed workers have better health compared to employed workers. DOI: 10.3389/fpsyg.2020.598303

Study 2 The diversity of health and work satisfaction in self-employed workers – A 6-year longitudinal person-centred analysis study

In the second, we use latent transition analysis (LTA) to study the diversity of health in self-employed workers over time. We set out to understand what different profiles of health exist among self-employed workers, how the self-employed transition between these groups over time, and to study the relationship of entrance, exit and health, taking into account demographics, and individual and psychosocial work-related factors in a novel way, by analysing longitudinal, nationally representative data with latent transition analysis.

Study 3 Comparing self-employed workers and employees' relationships between autonomy and positive affect with a task and person level approach

In the third study, we employed Bayesian multilevel modeling to distinguish between the effects of personal factors and task characteristics related to employment type (self-employed vs. organizationally employed), self-determination, and meaningful work on engagement. Our objective was to gain insights into the underlying reasons behind the typically higher levels of engagement experienced by self-employed workers.

I urval från Stockholms universitets publikationsdatabas

• Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers: Application of Approximate Bayesian Measurement Invariance

  2021. Louise E. Bergman (et al.). Frontiers in Psychology 11

  Artikel

  Studies investigating differences in mental health problems between self-employed and employed workers have provided contradictory results. Many of the studies utilized scales validated for employed workers, without collecting validity evidence for making comparisons with self-employed. The aim of this study was (1) to collect validity evidence for three different scales assessing depressive symptoms, emotional exhaustion, and sleep disturbances for employed workers, and combinators; and (2) to test if these groups differed. We first conducted approximate measurement invariance analysis and found that all scales were invariant at the scalar level. Self-employed workers had least mental health problems and employed workers had most, but differences were small. Though we found the scales invariant, we do not find them optimal for comparison of means. To be more precise in describing differences between groups, we recommend using clinical cut-offs or scales developed with the specific purpose of assessing mental health problems at work.

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• Flourish, fight or flight

  2019. Claudia Bernhard-Oettel (et al.). Abstract Book of the 19th European Association of Work and Organizational Psychology Congress, 207-207

  Konferens

  Purpose: Around 9% of the working population in Sweden consists of self-employed business owners, but a considerable amount of them struggle to consolidate or expand their businesses. Among the factors predicting business success the decisive role of long-term health of business owners has been acknowledged only recently, but longitudinal studies testing this assumption are scarce. Based on the conservation of resources theory, good health can be seen as a resource that helps business owners to tackle high workloads and make business succeed.

  Design: Data from the Swedish Longitudinal Occupational Health Survey is used. Starting in 2012, N=554 self-employed have answered three or more times in the biannual data collection. Latent growth curve modelling is employed to study general and mental health trajectories and their associations with business survival over time.

  Results: Preliminary descriptive analyses on biannual changes suggest that roughly one in ten self-employed leaves self-employment at follow-up. Job demands and emotional exhaustion are higher among those who leave compared to those who remain in business. After integrating new data collected in 2018, growth curve analyses are run over the whole longitudinal sample, and associations of health trajectories to business survival will be tested.

  Limitations: Data is collected with questionnaires, and business success is operationalized as business survival only.

  Research/Practical Implications: Study results increase knowledge on the self-employed’s health developments, vulnerable groups with poor health and risk of business failure can be detected.

  Originality/Value: This is one of few studies on longitudinal developments of health in selfemployed business owners.

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• Entering and exiting self employment – how do they relate to health and well-being?

  2023. Louise E. Bergman, Claudia Bernhard-Oettel. Book of Abstracts (DRAFT), 415-416

  Konferens

  Research goals and motivation: Self-employed workers contribute significantly to our society in terms of economic productivity, job opportunity and innovation. Thus, it is in the interest of our society to support and encourage self employment. It is well documented that self-employed workers – on average – experience higher levels of wellbeing, and less mental health problems than employed workers do. However, self-employed workers are a highly heterogeneous group when it comes to who they are, how they work, and their health status. Thus, averages are not sufficient to inform researchers, policymakers and companies on how to understand the mental health and wellbeing of this group of workers. 

  Workers enter and exit self employment all the time as business opportunities occur, need of an income arises, innovations are created, and businesses fail. However, little is known about the mechanisms behind these career transitions beyond economic factors. Is the decision to start a business related to wellbeing, and how? How many self-employed workers are thriving over time, both when it comes to wellbeing and their business? Who is struggling and experiencing mental health problems, and is this related to exiting self employment? Questions like these currently go unanswered. 

  Theoretical background: This study is mainly exploratory, but mental health problems, wellbeing and how it develops and how it relates to entering and exiting self employment can be related work environment. The effort-reward imbalance model (ERI) has proven to be a good framework to understand health developments, and is adapted and used in this study as theoretical framework. 

  Method: Latent transition analysis (LTA) is used to consider both the longitudinal aspect and the heterogeneity of the group of self-employed workers, in a unique and novel way. We investigate what profiles of mental health and wellbeing exist among self-employed workers, how common they are, and how the workers transition between these profiles over time. Further, we study how the profiles and transitions between them relate to entrepreneurial entrance and exit, work environment factors (ERI) and background variables (i.e., age and gender). 

  We use data from the Swedish Longitudinal Occupational Survey of Health (SLOSH) The current study is based on participants who responded to the 5 th -7 th wave of SLOSH conducted in 2014 (response rate 53%), 2016 (response rate 51%) and 2018 (response rate 48%). In this study, we use respondents who were self-employed at any of the three time points (N=2327). 

  Results: Results of all statistical analyses will be available when the conference takes place. Preliminary findings of factor analysis show that all scales have adequate fit and factor loadings. Based on previous research we expect to find at least one profile of relatively good mental health and wellbeing, as well as profiles with less advantageous mental health. We also expect that work environment factors are linked to health profiles such that better health is found in workers with less ERI. ERI, a well-documented theoretic model, is used to validate the health and wellbeing profiles. Probably, exits out of or entrance into self employment is related to changes in health and work environment. Mechanisms, the number of transitions, and the temporal order will be explored in our study. 

  Limitations: The limitations of this study lie in the exploratory nature of the analysis, and more studies will be needed to further validate any found profiles. 

  Relevance to congress theme: This study is relevant to the first theme of the congress: Careers and the labour market. Specifically, career transitions and employee mobility. With regard to the UN SDG, our study addresses good health and wellbeing and decent work and economic growth. 

  Conclusions: Exact conclusions will depend on the findings, but the study is one of the first to focus on health profiles of self-employed workers, and ways in which these workers’ mental health and wellbeing changes in relation to ERI and decisions to change employment. The results will yield a better understanding of how self-employed workers thrive or struggle, and how to identify the ones that struggle. This will also help to discuss potential possibilities to create better circumstances or preventive tools to shape decent work and sustainability of careers that involve self employment.

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• Well-being of high skilled workers: Disentangling person and tasks effects

  2022. Louise Bergman, Claudia Bernhard-Oettel, Aleksandra Bujacz. 15th EAOHP Conference 2022. Supporting knowledge comparison to promote good practice in occupational health psychology, 564-565

  Konferens

  Research goals and why the work was worth doing: Research of well-being and positive affect of workers have previous mainly been focused on a general level. These previous studies have not yet disentangled whether positive affect can be linked to task-by-task experience at work, or whether it mainly varies between different people with different types of work. The purpose of this study was to differentiate between the general level, task level, and type of employment in self-determination, meaningfulness of work and positive affect, thus contributing to the understanding of how to best assess well-being. The novelty and contribution of this study lies in the analysis strategy that allows for disentangling the effect that specific work tasks may have on workers' positive affect. Specifically, the use of multi-level modelling on the data gathered with the Day Reconstruction Method (DRM) allows us to describe relationships between positive affect, self-determination, and meaningfulness of work at both person and task level. Multilevel studies assessing the intrapersonal variability of experienced well-being on not only a day-level, but also a task level, are rare and much needed to better understand the dynamics of well-being during a workday.

  Theoretical background: Researchers have connected positive affect – which represents momentary well-being experiences such as happiness, engagement, and inspiration – to high levels of general well-being and better health. High levels of positive affect is often attributed to higher levels of self-determination, and meaningfulness of work. Workers experiencing more self-determination and meaningfulness of work should experience more positive affect, and tasks experienced as more self-determined and meaningful should lead to more positive affect. Additionally, self-employed workers are suggested to have a more self-determined career choice in itself, and thus higher levels of positive affect.

  Design/Methodology/Approach/Intervention: In this study we tested whether H1) workers experiencing more self-determination and meaningfulness of work report higher levels of positive affect, H2) tasks experienced as more self-determined and meaningful are related to more positive affect, and H3) self-employed workers experience stronger relationships of task level self-determination and meaningfulness with positive affect than employed workers. We used a sample of 175 high skilled self-employed and employed workers, who reported self-determination, meaningfulness of work and positive affect for a total of 560 tasks during a workday by the DRM. DRM facilitates access to momentary experiences stored in memory, providing reliable estimates of intensity and variations of affect during the day. First, we tested two separate multilevel multi-group confirmatory factor analysis (MCFA) models for momentary positive affect (outcome side of the model), as well as self-determination and meaningfulness of tasks (predictor side of the model), and then tested the models for measurement invariance. Since tasks were nested within individuals we fitted a bayesian structural equation model with random slopes with self-determination and meaningfulness of work and employment type as predictors and positive affect as an outcome variable.

  Results obtained: Results indicated that workers experiencing more self-determination and meaningfulness of work reported more positive affect, that tasks experienced as more self-determined also elicited higher levels of positive affect, and that there was a small positive effect of self employment on positive affect. The self-determination and meaningfulness of tasks seem to be more important to positive affect than employment type. The relationship between self employment on positive affect have been assumed by earlier research, but our study is the first to test and show that this indeed may be the case. However, other factors such as self-determination might be more important to task level positive affect.

  Limitations: We studied high-skilled worker, choosing this population facilitated comparison of groups of workers, as many background variables were similar, however, this does affect the generalizability of the results. As consequence, one limitation is that a fairly small sample. Further, we used DRM and a drawback of this method is that it is not in the moment assessment, but rather recorded after the tasks of the day. However, DRM still have practical benefits as it might elevate the response rate in contrast to in the moment reports, because it is difficult for the respondent to make pauses during their workday.

  Research/Practical Implications: These findings may inform researchers on how to best assess well-being, and organizations on how to design work of workers to elevate positive affect and thus, well-being, and health. We have empirically confirmed the assumptions of a positive relationship between self employment and positive affect of previous studies, and that this relationship might be less important than other factors such as self-determination.

  Originality/Value: The originality of this research lies in the multi-level structure of the method and analysis, as well as the comparison of groups of workers.

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