Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 07:47:34am GMT

 
 
Session Overview
Session
22 SES 09 A
Time:
Thursday, 24/Aug/2023:
9:00am - 10:30am

Session Chair: Sarah Robinson
Location: Adam Smith, 1115 [Floor 11]

Capacity: 207 persons

Paper Session

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Presentations
22. Research in Higher Education
Paper

Mapping Transversal Competencies in Higher Education

Elena Ungureanu, Anca Elena Popovici, Cosmina Mironov, Tania Maria Colniceanu, Camelia Radulescu, Laura Elena Ciolan

University of Bucharest, Romania

Presenting Author: Ungureanu, Elena; Colniceanu, Tania Maria

In the last fifty years, transitions from university to work have become more difficult for young people, as reflected by longer periods of unemployment, job mismatches, and diversified pathways (Allen & vanDer Velden, 2007). The content of the learning objectives connected to the education and training systems, is changing, thus reflecting specific global priorities. A conclusive example is indicator 4.7 of the Sustainable Development Goals – according to which, by 2030, all graduates will acquire the knowledge and skills necessary to promote sustainable development. These strongly suggest that education and training systems should equip learners with skills such as problem solving, collaboration, critical thinking and communication. The focus on these "21st century goals" is visible in education, in general, and curriculum reforms, in particular, and has been promoted by global discussions about the changing needs of work and society as a whole.

These tendencies imposed a consistent debate, with philosophical nuances, related to the identity, roles and missions of the contemporary university. In this context, the controversies generated between utilitarian approaches and those with a more critical orientation were numerous and sometimes intense, generating resistance or producing transformations of principles. The central point of the debates was, explicitly or implicitly, the influence that the labor market should have on the mission of higher education and, of course, on its development agenda for a certain social and economic context (Rego et al, 2022). Such a controversy, in a post-industrial era and a growing knowledge economy, imposes answers to the question regarding the association between higher education and graduate employability (OECD, World Economic Forum, etc.). It should come as no surprise that the European Union, through the Bologna process, has prioritized both the competence-centered approach and employability in its higher education policies, supporting a line of research whose basic premise is to provide the theoretical basis and, wherever possible, to empirically validate the employability skills of university graduates (Rego & al, 2022).

The main concept is the term "21st century skills", that denotes a combination of skills that are important in a modern society and workforce, (Ercikan & Oliveri, 2016). The terms "transferable" (UNESCO, 2012) or "transversal" skills encompass some of the same skills that can be applied in multiple situations, as opposed to technical professional skills that are specific to certain occupations. In a world facing rapid technological and social change, this transversality/transferability is seen as increasingly important, as facilitating transition towards work (Kearns, 2001).

In our research project, we aim at doing a mapping exercise and understand the way transversal competencies are conceptualized in the curricular documents of three bachelor study programs, in the University of Bucharest, a public, large university from Eastern Europe: educational sciences / pedagogy, teacher training education and physics. In this sense, we identify the transversal skills already present in the study programs, but also those that are omitted, by referring to a competence framework developed by the research team based on a rigorous analysis of the literature. Our main research questions were: what sets of transversal competencies are in use in the curricular documents analyzed; what transversal competencies are present in different study programs and disciplines; what issues can we identify by analyzing transversal competencies, that are relevant to higher education and could be explored in next phases of our research. The finality of our study is curricular and practice change through the integration of transversal skills in the programs in the field of education and sciences, but also contribution to the international debate regarding transversal skills, as Hart et al (2021) emphasized that the concept is still understood in different and contradictory ways.


Methodology, Methods, Research Instruments or Sources Used
We designed a study,  developed in multiple phases. First, we reviewed the scientific literature, but also the national and international policy documents in the domain (OCDE, 1997; EC, 2018; Sala et al, 2020; OECD, 2019; Hart et al, 2021; UNESCO, 2015). Second, we did a qualitative curricular analysis, with the aim of mapping transversal competencies. A third and maybe a fourth phase will be developed to further investigate the issue of transversal competencies including benchmarking, using surveys and interviews for students and university professors.
Both analyses had their specific results and were further used together. Based on the literature review of the policy documents we developed a transversal competencies framework - Mind the gap, that we further used in the qualitative content analyses of the university curriculum.  
At the same time, we have to take into consideration that doing this type of research has its critical points. Sumision & Goodfellow (2004) mentioned the theoretical characteristics of the concept of "transversal competence" - vague character, lack of methodological rigor in the development of the multitude of lists of competences or the lack of evidence showing the transferable nature of the respective skills - or to the relationship between the formation process of these skills and the context in which they are formed. Our research project addressed the first criticism, by rigorously reviewing existing competencies frameworks and integrating them with the results from our own analyses.
For the curricular analysis, we employed the syllabi documents from three bachelor study programs, in a large public university from Eastern Europe: Educational Sciences with the Pedagogy/ Educational sciences programme - 46 syllabi,  Pedagogy of primary and preschool education - 50 syllabi, and Physics with the Physics specialization - 34 syllabi. Each syllabi corresponds to a specific discipline  of study. The analysis covered disciplines from three years of study. The documents - syllabi -  allowed the analysis of transversal skills that are mentioned explicitly in the document. For the analyses, we used the MaxQDA program. We carried out an inductive-deductive coding of each competence, using general categories, which in turn we organized using the Mind the Gap taxonomy, previously developed. This stage was followed by a deductive approach, testing the proposed taxonomy, theoretically grounded in order to be able to validate or develop its structure based on concrete data. Thus we pursued an approach that would not be constrained by already existing taxonomies in order to capture specificities or new elements.

Conclusions, Expected Outcomes or Findings
By analyzing the syllabi, we conceptualized 31 transversal competencies that we further organized into five general domains: personal and self-management competencies; social and communication competencies; digital competencies; learning and innovation competencies; life and career competencies. All these were further analyzed in relation to each study programme, discipline, study year or number of credits.  
The analysis gives us an image of: the five domains of competence; the intersection of study programmes regarding transversal competencies, but also the specifics of each programme; the extent to which the transversal competencies appear in each programme and the number of disciplines that aim to form different transversal competences; analysis of the weight of domain of competencies by years of study.  

The analysis carried out allowed us to understand the diverse way transversal competencies are conceptualized and comparing this with other ways of describing and defining them, present at the international and European level. In this way, a number of competencies were enriched, in relation to what we had originally proposed in our framework. For example, in the field of skills for life and career, the analysis added what we called "involvement in institutional development, advocacy, lobbying" or "the practitioner involved in public policies" or ethics / responsibility and tolerance, interculturality. In the area of ​​digital skills, our analysis emphasized information and data literacy skills, with a focus on knowledge and information management.
In the next phase of the research we plan to refine the competence framework, undertake a benchmarking process that would allow a means to support their development and evaluation in different faculties from our university while  using surveys and interviews with students and academic staff from the programmes of study, to produce more detailed data about the way transversal skills are understood, but also indirect auto-evaluations regarding students' level of transversal skills.

References
Allen, J., & Van der Velden, R. (2007). Transitions from higher education to work (pp. 55-78). Springer Netherlands.
Ercikan, K., & Oliveri, M. E. (2016). In search of validity evidence in support of the interpretation and use of assessments of complex constructs: Discussion of research on assessing 21st century skills. Applied Measurement in Education, 29(4), 310-318.
European Commission. (2017). ESCO handbook. European Skills, Competences, Qualifications and Occupations.
European Council. (2018). Council recommendation of 22 May 2018 on key competences for lifelong learning. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32018H0604(01)&from=RO
Hart, J.,  Noack, M.,  Plaimauer, C., Bjornavold, J., (2021). Towards a structured and consistent terminology on transversal skills and competences. 3rd report to ESCO Member States Working Group on a terminology for transversal skills and competences (TSCs).
Kearns, P. (2001). Kearns, P. (2001). Generic skills for the new economy: A review of research relating to generic skills. National Center for Vocational Education Research, Adelaide. https://www.researchgate.net/publication/234652722_Generic_Skills_for_the_New_Economy_Review_of_Research
OECD. (2019). Conceptual Learning Framework. Transformative Competences for 2030. https://www.oecd.org/education/2030-project/teaching-and-learning/learning/transformative-competencies/Transformative_Competencies_for_2030_concept_note.pdf
Rego, M. A. S., Sáez-Gambín, D., González-Geraldo, J. L., & García-Romero, D. (2022). Transversal Competences and Employability of University Students: Converging towards Service-Learning. Education Sciences, 12(4), 265.
Rychen, D. S., & Salganik, L. H. (2002). Definition and Selection of Competencies (DESECO): theoretical and conceptual foundations. Strategy paper. Neuchatel, Switzerland: Swiss Federal Statistical Office.
Sala, A., Punie, Y., Garkov, V. and Cabrera Giraldez, M., LifeComp: The European Framework for Personal, Social and Learning to Learn Key Competence, EUR 30246 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-19417-0, doi:10.2760/922681, JRC120911.
Sumsion, J., and J. Goodfellow. 2004. “Identifying Generic Skills through Curriculum Mapping: A Critical Evaluation.” Higher Education Research & Development 23 (3): 329–346.
UNESCO Office Bangkok and Regional Bureau for Education in Asia and the Pacific. (2015). 2013 Asia-Pacific Education Research Institutes Network (ERI-Net) regional study on: transversal competencies in education policy and practice (Phase I): regional synthesis report. United Nations Educational, Scientific and Cultural Organization.
United Nations Educational, Scientific and Cultural Organization (UNESCO). 2012. EFA Global Monitoring Report: Youth and skills: Putting education to work. Available: http://www.unesco.org/new/en/education/themes/leadingthe-international-agenda/efareport/reports/2012-skills/


22. Research in Higher Education
Paper

Transition into Higher Education in Japan: Inquiry-Based Learning in High School to Research in University

Kohei Tanaka

Kyoto University, Japan

Presenting Author: Tanaka, Kohei

The transition into higher education has been the focus of both government policy and practice with a goal of a smooth transition in the context of increasing the diversity and population of students in higher education. For example, Hulme & De Wide (2015), who organised the transition into higher education in the STEM education department, found that there is now existing practice that attempts to smooth the transition, and that sharing good existing educational practice is a top priority for education stakeholders.

However, in recent years, researchers in the UK and in other countries have begun to criticize the traditional focus on a smooth transition into higher education. For instance, according to Ecclestone, Biesta, & Hughes (2010), 'while certain transitions are unsettling and difficult for some people, risk, challenge and even difficulty might also be important factors in successful transitions for others' (p.2). Moreover, an alternative concept called 'becoming' has been proposed to replace the traditional transition concept (Gale & Parker, 2014 & Gravett, 2021). It has been suggested that transition as becoming should be seen as 'perpetual series of fragmented movements involving whole-of-life fluctuations in lived reality or subjective experience, from birth to death' (Gale & Parker, 2014, p. 737). Besides, Gravett (2021) described the chrematistic of 'becoming' as (1) troublesome transitions, (2) transition as rhizomatic, and (3) transition as becoming. Thus, Gravett (2021) suggested a shift from a traditional paradigm of transition into framing of transition as becoming.

Given both the concept of transition and becoming, then, how can the concept of transition into higher education in Japan be reconstructed? Considering the oppositional structure between the traditional concept of transition and its alternative becoming, the following research questions are set out in this study.

RQ: How do Japanese students experience “transition into higher education”?

The purpose of this paper is to reconstruct existing concepts of transition into higher education. In general, in recent years, Japanese high school curriculum has established an interdisciplinary curriculum called 'inquiry-based learning' in addition to the regular curriculum of academic subjects. And Japanese universities offer liberal arts courses in the first and second year of university, and specialized courses in the third and fourth year of university. In Japanese universities, which differ from the structure of the European education system, this paper will clarify how Japanese students experience the transition into higher education compared with the transition into higher education in European countries in previous literature.

In interpreting students' transition and becoming, Gravett's (2021) three components of becoming (transition as troublesome, rhizomatic transition, transition as becoming) are used as an analytical framework. Specifically, this analytical framework includes “threshold concepts” proposed by Meyer and Land (2005) and concepts of the ‘rhizome’ and ‘becoming’ in "A Thousand Plateaus written by Deleuze and Guattari (1987). Meyer & Land (2005) state that struggling with threshold states to overcome the discomfort and difficulty felt when passing through transitional spaces is important in transforming students' understanding. Deleuze & Guattari (1987) stated that rhizomes mean that there are no uniform pathways, that transition is divergent, fluid, and multiple, and that becoming refers to the permanence of ongoing change.


Methodology, Methods, Research Instruments or Sources Used
As a research method, this research conducted a series of semi-structured interviews with students who had experienced inquiry-based learning in high school, and who were considered to have made a smooth transition from high school to university. During the analysis, both concepts of transition and becoming were set as the analytical framework, and various aspects of these two concepts were interpreted based on the interview data. It would be most appropriate to use students who have experienced inquiry-based learning as a case study in reconstructing the concept of transition into higher education, which is the goal of this paper. In addition, students who have already experienced inquiry-based learning in high school, which has similarities to university learning, are more likely to be able to compare their learning experiences in high school with their experiences in university.

In selecting the research participants for this study, students were selected with the intention of drawing from both Humanities and Social Science faculties and Natural Science faculties. In many cases, two or more interviews were conducted across academic years. In Japanese university education, liberal arts education is mainly conducted in the first and second grade and specialised education in the third and fourth grade, so that as students move up through the years, they have a variety of learning experiences in the regular curriculum Therefore, it was thought that conducting multiple interviews would provide a more multi-layered and comprehensive view of students' transitions.

The first interview elicited aspects of the transition from high school to university by inquiring in-depth about the learners' experiences of inquiry-based learning in high school and how they believed such experiences applied to their studies in university. The second and third interviews were conducted more than a year after the previous interviews, so that the data from the previous interviews could be reviewed again to reiterate points that had not been clarified in the interviews and to follow up on how the perceptions of participants of the survey had changed. Interviews lasted approximately 50-60 minutes for each interview. After the interviews were completed, all the audio data was textualised and a transcript was prepared. In addition, the products of inquiry-based learning (e.g., reports and posters) provided by the research subjects were also referred to as appropriate in the analysis.

Conclusions, Expected Outcomes or Findings
Firstly, the results revealed that the students who participated in the study selected liberal arts courses in line with what they had explored in high school, secondly, that they were actively engaged in extracurricular activities that further developed the content they had explored in high school, and thirdly, that they were anticipating learning for their graduation thesis. Thus, many students were able to clarify the content and methods they wanted to pursue in university through their inquiry-based learning experiences in high school, and they were able to make sense of them through both in-class and out-of-class learning in university. In this respect, the transition into university can be summarized as a smooth one.
 
On the other hand, when attention was paid to the transition experiences of individual students, they were diverse. This study showed especially that even during a smooth transition, there were cases in which students transitioned with minor worries and anxieties. In other words, the study showed that in some cases, students experience both smooth transition and becoming at the same time, pointing out the problematic way in which the two concepts are dichotomously described as mutually exclusive in the previous literature.
 
In addition, the study also confirmed that students were seeking ways to solve problems on their own, , utilizing the human and material resources available within the university, without direct transition support from the university. Based on these findings, it is suggested that it is important to consider taking indirect measures to help students to deal with difficulties and challenges such as providing them with a wide range of interactive resources, expanding extra-curricular services, and designing an elective curriculum.

References
Ecclestone, K., Biesta, G., & Hughes, M. (2010). Transitions in the life course: The role of identity, agency and structure. In Ecclestone, K., Biesta, G., & Hughes, M. (Eds.), Transitions and learning through the life course (pp. 1-15). Routledge.
Deleuze, G., & Guattari, F. (1987). A thousand plateaus: capitalism and schizophrenia. Continuum.
Gale, T., & Parker, S. (2014). Navigating change: A typology of student transition in higher education. Studies in higher education, 39(5), 734-753.
Gravett, K. (2021). Troubling transitions and celebrating becoming: From pathway to rhizome. Studies in Higher Education, 46(8), 1506–1517.
Hulme, J. A., & De Wilde, J. (2015). Tackling transition in STEM disciplines. (https://www.advance-he.ac.uk/knowledge-hub/tackling-transition-stem-disciplines) (2023.1.22.).
Meyer, J. H. F., & Land, R. (2005). Threshold concepts and troublesome knowledge (2): Epistemological considerations and a conceptual framework for learning and teaching. Higher Education, 49 (3), 373-388.


22. Research in Higher Education
Paper

Youth Paths Through Postsecondary Education and Work in Russia: An Inquiry Using Sequence Analysis

Vera Maltseva

Higher School of Economics, Russian Federation

Presenting Author: Maltseva, Vera

Education and career pathways are extensively studied in the sociology of education and labor economics. Sociologists explore transitions between study and work within the framework of the life course perspective (Monaghan, 2020), paying special attention to the patterns of trajectories (Lorentzen et al, 2019) and transition regimes (Walther, 2006). Extensive literature in the sociology of education is devoted to the relationship between education and labor market outcomes and individual socioeconomic backgrounds. The latter is manifested by parental education, professional status, and income, as well as cultural capital. Also, socioeconomic status (SES) impacts educational and career aspirations–low SES students have lower aspirations than their counterparts from a more advantaged background (Kim, Klager, Schneider, 2019). In various countries, there is empirical evidence that low SES is a strong predictor for lower levels of educational attainment and labor market outcomes (Walpole, 2003). In due turn, labor economists focus on the labor market outcomes of the trajectory, returns on investments in human capital, and its determinants. Drawing from the human capital theory, the accumulation of more human capital–a higher level of educational attainment, stronger cognitive abilities, and noncognitive skills, combining studies and work– positively impact labor market outcomes (Nilsson, 2019) and could make school-to-work transition smoother.

Typically, event history and regression analysis methods are used to examine educational pathways. However, such methods commonly examine only unique transitions rather than full sequences of steps in education and employment. With the growing popularity of longitudinal data, sequence analysis accompanied by logistic regression analysis has become the option to overcome this limitation and explore trajectories in their complexity. A number of international, especially European, empirical studies have incorporated sequence analysis in the investigations of youth transitions (see e.g., Brzinsky-Fay, 2007; Quintini & Manfredi, 2009; Lorentzen et al. 2019). However, only a few studies employing sequence analysis on representative samples specifically examine the trajectories of university graduates (Duta, Wielgoszewska, Iannelli, 2021).

Using data from the Russian national cohort longitudinal study "Trajectories in Education and Career, this study aims to untangle the nine-year education-career pathways of 9th-grade students who have received higher education by the age of 25. In Russia, bachelor's and master's degrees were introduced in 2009, though master's programs have anchored and proliferated across universities only recently, in the mid-2010-s. Thus, the cohort participating in this longitudinal study is the one experiencing the newly established educational options. Our study aims to identify the different types of pathways followed by Russian graduates in their journey from school to higher education and to work and explore the factors contributing to different pathways. We investigate pathways following the sociological approach and methodology of sequence analysis but considering the key findings of labor economists, thus embracing the framework of the socioeconomic background and educational inequalities and the human capital theory. We investigate how socioeconomic status and aspirations, as well as academic abilities and personal characteristics, and an extended set of socio-demographic factors, shape students’ paths through postsecondary education and the world of work. By considering how different factors shape not just specific transitions but long-term sequences of educational-employment states, we broaden our understanding of who follows certain paths and why.


Methodology, Methods, Research Instruments or Sources Used
We use data from the nine waves (2012-2020) of the Russian national cohort longitudinal study "Trajectories in Education and Career" (TrEC). The study follows a nationally representative sample of 9th-grade students through high school and on to postsecondary attainment or work. We trace the nine-year trajectories of those who have received higher education by 2020. We used sequence analysis followed by cluster analysis (Brzinsky-Fay, 2014; Brzinsky-Faya, Solga, 2016; Monaghan, 2020) to derive the typology of HE graduates’ education & employment trajectories. A sequence consists of a series of states in which respondents are found at different points in their life course within an observation period, in our case between the ages of 15(16) and 24(25). The sequences were built based on the nine states: 1) studying at school; 2) studying at vocational school; 3) studying at the university; 4) combining university studies and work; 5) combining vocational school studies and work; 6) temporary employment; 7) permanent employment; 8) inactivity; 9) unemployment. The research sample of the graduates who have passed all the waves of the longitudinal study and hold a HE degree includes 1247 observations.
Generating typologies of trajectories based on sequence analysis involves several stages. The first step involves generating the sequences of the nine states across nine years. Second, we compute the optimal matching distances between sequences using the TraMineR package in R. Third, we build a Ward hierarchical clustering of the sequences from the optimal matching distances.
Then, we used a series of multinomial logistic regression models to estimate the probability of belonging to each cluster (pathway) for a given set of background characteristics. We built three models, starting with the baseline Model 1 which shows the statistical significance of the starting conditions (SES, aspirations, noncognitive characteristics). The next Model 2 includes the variables capturing academic abilities and measures of human capital while the final model (Model 3) includes all the variables together. Nagelkerke pseudo-R² value for the final model is quite high (0.52), meaning the logistic regression model fits the data. The obtained results are presented using relative risk ratios.

Conclusions, Expected Outcomes or Findings
The turning point in the observed trajectories is continuing education after graduation. More than one-third of the graduates are pursuing or have already pursued a master's degree by the age of 25. Many of them combine study and work thus accumulating both the general and specific human capital and enhancing labor market outcomes in the long run. However, prolonged education pathways are very diverse and include linear transitions from bachelor to master's and reverse ones (from university to employment and back to education), as well as delayed entry to the labor market after graduation.
The conventional linear trajectory from university to permanent employment has become increasingly rare. Most graduates experience a combination of study & work and some experience episodes of part-time work and other precarious positions in the labor market. The special attention attracts a precarious or nonlinear trajectory, which includes graduates with the longest experience in a precarious position (part-time work, inactivity), while the significant predictor of following this path is a lower academic ability (the TIMSS eighth-grade mathematics test score).
Socioeconomic background, as well as academic abilities, are shaping the education pathways of graduates. High academic achievement is a strong predictor of prolonged education. The probability to follow the pathway with post-bachelor education is statistically significantly higher among high-achieving students. As for socioeconomic background, parental educational aspirations rather than parental education shape the educational choices of graduates.
In terms of career pathways, the factors that influenced specific patterns in the duration of work experience include parental educational aspirations and non-cognitive characteristics. The probability to have more work experience, including the time spent combining study&work, is statistically significantly higher among graduates whose parents have higher educational aspirations. Also, the probability to follow the delayed path is statistically significant among graduates who score lower in openness to experience.

References
Brzinsky-Fay, C. (2007) ‘Lost in transition? Labour market sequences of school-leavers in Europe’. European Sociological Review, vol.23, no.4, pp.409—22.
Brzinsky-Fay, C. (2014) The measurement of school-to-work transitions as processes: about events and sequences. European Societies, Vol. 16(2). P. 213-232.
Brzinsky-Fay, C., Solga, H. (2016) Compressed, postponed, or disadvantaged? School-to-work-transition patterns and early occupational attainment in West Germany. Research in Social Stratification and Mobility, Vol. 46. P. 21-36.
Duta, A., Wielgoszewska, B., & Iannelli, C.  (2021) Different degrees of career success: Social origin and graduates’ education and labour market trajectories. Advances in Life Course Research, Vol. 47. https://doi.org/10.1016/j.alcr.2020.100376
Furlong, A.  (2016) The changing landscape of youth and young adulthood. Routledge handbook of youth and young adulthood. P. 19—27.
Kim, S., Klager, C., Schneider, B.  (2019) The effects of alignment of educational expectations and occupational aspirations on labor market outcomes: Evidence from NLSY79. The Journal of Higher Education, Vol. 90. No.6. P. 992-1015.
Lorentzen, T., Bäckman, O., Ilmakunnas, I., Kauppinen, T. (2019) Pathways to adulthood: Sequences in the school-to-work transition in Finland, Norway and Sweden. Social Indicators Research, Vol. 141. No. 3. P. 1285-1305.
Monaghan, D. B. (2020) College-going trajectories across early adulthood: An inquiry using sequence analysis // The Journal of Higher Education, Vol. 91. No. 3. P. 402-432.
Quintini, G & Manfredi, T. (2009) Going separate ways? school-to-work transitions in the United States and Europe, OECD, Paris.
Nilsson, B. (2019) The school-to-work transition in developing countries. The Journal of Development Studies, 55(5), 745-764.
Walther, A. (2006) Regimes of youth transitions: Choice, flexibility and security in young people’s experiences across different European contexts. Young. Vol. 14, No. 2. P. 119-139.
Walpole M. (2003) Social mobility and college: Low SES students’ experiences and outcomes of college. The Review of Higher Education, vol. 27, no. 1. P. 45-73.


22. Research in Higher Education
Paper

Investigation of Predictors of Post-Traumatic Growth in University Students with Traumatic Experiences

Hamide Merve Doğançay1, Türkan Doğan2

1METU, Turkiye; 2Hacettepe University, Turkiye

Presenting Author: Doğançay, Hamide Merve

Traumatic experiences differ from highly stressful events due to their characteristics such as threatening bodily integrity and personal exposure to death. Therefore, these events can impact human psychology and well-being. For years, the adverse effects of trauma have been studied in the field of psychology and psychiatry (Tedeschi et al., 1998). However, a growing body of literature has shown that some people may be more resilient than the pre-traumatic period (Groleau et al., 2013; Lindstrom et al., 2013, Park et al., 2012).

Tedeschi and Calhoun (2004) constructed a holistic model that includes personal, social, and trauma-related factors to explain the phenomenon, termed “post-traumatic growth (PTG)”. According to this model people have core beliefs about themselves, others, and life that guide people and help them make sense of life. A traumatic event can shake the structure of these assumptions, thus creating the need for restructuring. PTG emerges from the restructuring process. According to the model, growth is a highly personal process rather than a direct outcome that can start with the disruption of core beliefs rather than the event itself (Calhoun et al., 2010). Lindstrom et al. (2013), found a strong significant positive relationship between PTG and disruption of core beliefs. Similar results have been found in cross-sectional studies (Calhoun et al., 2010; Eze et al., 2020; Taku et al., 2015), and longitudinal ones (Danhauer et al.,2013; Ramos et al., 2018).

The theoretical model emphasizes that personal variables such as coping mechanisms are also important factors affecting PTG (Tedeschi & Calhoun, 2004). Coping with stress can be defined as the process of managing emotional requisitions arising from events perceived as stressful in person-environment interaction (Lazarus & Folkman, 1984). Fisher et al. (2020) found that active and supportive strategies were positively associated with PTG, while avoidant strategies were negatively related to it. On the other hand, some research emphasizes that active, supportive, and avoidant strategies like denial were positively related to PTG (Lelorain et al., 2010; Park et al., 2012). These findings show that coping mechanisms are important predictors of PTG.

Contemporary PTG literature focuses on another important variable named “event centrality”. Event centrality refers to the extent to which the memory of an event becomes a central part of people's identity, a fulcrum for understanding everyday life, and a turning point in life (Berntsen & Rubin, 2006). Groleau et al. (2013) found that event centrality was a significant predictor of PTG even after controlling for rumination and disruption of core beliefs. Similarly, Bernard et al. (2015) indicated that event centrality was a significant predictor of PTG. All of these findings show that coping mechanisms, event centrality, and disruption of core beliefs have crucial roles in the creation of PTG and therefore were used as variables in this study.

This study aimed to determine the predictors of PTG levels of university students with trauma experience in light of the current literature. Traumatic experiences are quite common around the world (Kessler et al., 2017) and can influence the academic experience and even university graduation in the long run (Lecy & Osteen, 2022). Therefore, understanding the predictors of PTG can shape psychological help, facilitate growth and well-being, and thus ensure the success and continuation of the higher education process. Event centrality is a relatively contemporary variable that has not been sufficiently studied in Turkish culture, therefore another aim is to understand its relationship with PTG in Turkish culture. According to these aims, a research question has been created; Do the disruption of core beliefs, stress coping mechanisms, and event centrality predict PTG?


Methodology, Methods, Research Instruments or Sources Used
Participants
In total, 462 adult university students who had a traumatic experience and did not have a mental illness were reached with the convenience sampling method. According to the sociodemographic characteristics, participants were predominantly aged between 20 and 21 (39.8%), and most were female (75.8%). The most frequent traumatic event that participants experienced was the unexpected loss of a loved one (36.6%) and most of the participants have experienced multiple traumatic events (63%). The perceived socioeconomic status was middle (64.1%). Almost half of the participants perceived the traumatic event as rather impactful (49.1%) and most of the participants experienced the event more than five years ago (38.5%).  

Procedure
The data were collected online after receiving approval from the ethics committee. Participants who were volunteers were informed about the process and their rights. In cases where individuals were exposed to more than one traumatic event, the participants were asked to fill in the remaining data collection tools taking into account the event that most affected them.

Measures
A demographic information form including biological sex, age, perceived socioeconomic level, etc. was created by the researchers. Posttraumatic Growth Inventory was used to collect data about the criterion variable. The Centrality of the Event scale, the Core Beliefs Inventory, and the Stress Coping Scale were used for predictor variables. The reliability scores for the original scales ranged from .65 to .96, and for the current sample from .67 to .93 which went between acceptable or high reliability (Cortina, 1993). Moreover, confirmatory factor analysis was conducted for all data collection tools, and it was seen that the structure of the scales had a good fit in the current sample.

Analysis
A hierarchical regression analysis was conducted to determine the predictors of PTG via SPSS. All assumptions were checked before the main analysis such as multivariate outliers, and homoscedasticity of residuals, and no assumption was violated. The multicollinearity assumption is crucial for the analysis. No value was higher than .90 in the correlation matrix (Tabachnick & Fidell, 2007), and no VIF score was higher than 4 (Hair et al., 2010), which indicates no violation. Afterward, the core belief disruptions entered the model at the first stage, parallel with the literature. Following that, the coping mechanism was entered into the model in the second step. Lastly, the centrality of the event was entered.

Conclusions, Expected Outcomes or Findings
The primary analysis was conducted after the preliminary examination. The findings revealed that the overall model was significant (F(6, 455)= 31.99, p<.05) and explained 30% of the variance of the PTG (R2=.30). The unique contribution of each model was also evaluated. The first model significantly predicted the PTG (∆F(2,459) = 6.60, p<.05) meaning that core belief disruption significantly predicted PTG, and 3% of the variance was uniquely explained by it (∆R2=.03). According to the inventory adaptation (Haselden, 2014), the core belief disruption has two subfactors; core belief about oneself and others. In this research, only the disruption of core beliefs about oneself was a significant and positive predictor of PTG (B=.13, t=3.16, p<.05). The second model including different coping strategies was also significant (∆F(3,456) = 57.45, p<.05) and uniquely explained 27% of the variance (∆R2=.27). Specifically, the problem-oriented (B=.32, t=6.15, p<.05), social support (B=.23, t=5.84, p<.05), and avoidant coping strategies (B=.32, t=5.95, p<.05) contributed significantly to the prediction of the criterion variable. Moreover, all of them were positive predictors of PTG. The third model which included the centrality of the event was not significant (∆F(1,455) = 1.35, p>.05).

Lastly, the unique contribution of the significant predictors was evaluated via squared semi-partial correlation. The values ranged from .02 to .06. The relatively strongest predictor of the criterion variable was problem-oriented and uniquely explained 6% of the variance. The other two coping strategies, social support, and avoidant uniquely explained 5% of the variance respectively. In conclusion, the different coping strategies and disruption of core beliefs about oneself significantly and positively predicted PTG levels of university students who experienced a traumatic event. On the other hand, disruption of core beliefs about others and the centrality of the event were not significant predictors in the Turkish sample.

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