Optimal Matching Analysis Research Articles

One way or another: An optimal matching analysis of students' educational pathways and the impact of socioeconomic background and engagement

AbstractUnderstanding social disparities in educational attainment requires understanding of students' decision‐making throughout their educational career. We focused on students' pathways throughout upper secondary and higher education (HE), identified common types of pathways and studied the role of SES as a determinant of students' pathways. Additionally, we researched the role of engagement for overcoming socioeconomic disadvantages in students' educational decision‐making. Using data from 965 Flemish students, optimal matching analyses identified seven distinct pathways throughout upper secondary and HE. While pathways largely mirrored the tracked structure of the Flemish educational system, there was considerable within‐track heterogeneity. Multinomial regression analyses demonstrated that even among the academic track students, socioeconomic background affected programme choice and long‐term academic success. Less engaged students were less likely to follow university pathways. Moreover, higher cognitive engagement decreased disadvantaged students' chances of ending up in typical vocational pathways.

Expertise and specialization in organizations: a social network analysis

ABSTRACT Organizations rely on their employees’ expertise (i.e. very high domain-specific competence relative to peers) and specialization (i.e. moderate to high competence in tasks for which no direct peers are responsible) to foster innovation and knowledge-sharing processes. While previous research demonstrated the pivotal role of experts and specialists, there remains scant knowledge on their skill profiles and embeddedness in organizational networks. Employing social network analysis (N = 344), we explore the relationships between the reception of advice requests – quantified by in-degree centralities – and self-assessed skills, expertise, and specialization. The results suggest a halo effect, as proficiency in one skill bundle is related to advice requests in other skill bundles. Furthermore, we use an exponential random graph model (ERGM) to provide evidence of similarities in skills, tenure, and leadership responsibility between advice-giver and advice-seeker. Finally, we use optimal matching analyses to compare skill profiles of individuals in our sample with theoretically derived ideal types of skill profiles for experts and specialists. The study underscores the need to further investigate expertise and specialization, emphasizing the importance of distinguishing between diverse knowledge carriers and skill profiles within career development, talent management, and knowledge management.

Influence of food physical properties and environmental context on manipulative behaviors highlighted by new methodological approaches in zoo-housed bonobos (Pan paniscus).

Research on manipulative abilities in nonhuman primates, in the context of hominid evolution, has mostly focused on manual/pedal postures considered as static behaviors. While these behavioral repertoires highlighted the range of manipulative abilities in many species, manipulation is a dynamic process that mostly involves successive types of grips before reaching its goal. The present study aims to investigate the use of manual/pedal postures in zoo-housed bonobos in diverse dynamic food processing by using an innovative approach: the optimal matching analysis that compares sequences (i.e., succession of grasping postures) with each other. To characterize the manipulative techniques spontaneously employed by bonobos, we performed this sequential analysis of manual/pedal postures during 766 complete feeding sequences of 17 individuals. We analyzed the effectiveness with a score defined by a partial proxy of food intake (i.e., the number of mouthfuls) linked to a handling score measuring both the diversity and changes of manual postures during each sequence. We identified four techniques, used differently depending on the physical substrate on which the individual performed food manipulation and the food physical properties. Our results showed that manipulative techniques were more complex (i.e., higher handling score) for large foods and on substrates with lower stability. But the effectiveness score was not significantly lower for these items since manipulative complexity seemed to be compensated by a greater number of mouthfuls. It appeared that the techniques employed involved a trade-off between manipulative complexity and the amount of food ingested. This study allowed us to test and validate innovative analysis methods that are applicable to diverse ethological studies involving sequential events. Our results bring new data for a better understanding of the evolution of manual abilities in primates in association with different ecological contexts and both terrestrial and arboreal substrates and suggest that social and individual influences need to be explored further.

Clinical course of nontuberculous mycobacterial pulmonary disease in patients with rheumatoid arthritis

ObjectivesThe impact of rheumatoid arthritis (RA) on nontuberculous mycobacterial pulmonary disease (NTM-PD) has not been well established. In this study, we investigated the clinical course of NTM-PD in patients with RA and the impact of RA on the prognosis of NTM-PD.MethodsWe analyzed patients who developed NTM-PD after being diagnosed with RA from January 2004 to August 2023 at a tertiary referral hospital in South Korea. The patient’s baseline characteristics, clinical course, and prognosis were evaluated. An optimal matching analysis was performed to measure the impact of RA on the risk of mortality.ResultsDuring the study period, 18 patients with RA [median age, 68 years; interquartile range (IQR) 59–73; female, 88.9%] developed NTM-PD. The median interval between RA diagnosis and subsequent NTM-PD development was 14.8 years (IQR, 8.6–19.5). At a median of 30 months (IQR, 27–105) after NTM-PD diagnosis, 10 of 18 (55.6%) patients received anti-mycobacterial treatment for NTM-PD and 5 (50.0%) patients achieved microbiological cure. When matched to patients with NTM-PD but without RA, patients with both RA and NTM-PD had a higher risk of mortality (adjusted hazard ratio, 8.14; 95% confidence interval, 2.43–27.2).ConclusionNTM-PD occurring after RA is associated with a higher risk of mortality than NTM-PD in the absence of RA.

Sustainable Career Trajectories in Switzerland: The Role of Psychological Resources and Sociodemographic Characteristics

In the current volatile and insecure professional context, developing and maintaining sustainable careers has become a major concern. This study contributes to the advancement of research on sustainable careers by applying the career sustainability framework in a 7-year longitudinal study on Swiss workers’ career trajectories ( N = 789). We thus aimed to (a) identify various types of career trajectories based on employment status (i.e., full-time employment, substantial part-time employment, marginal part-time employment, unemployment), (b) distinguish sustainable and unsustainable trajectories by investigating their outcomes in terms of health (i.e., self-rated health), happiness (i.e., career and life satisfaction), and productivity (i.e., income and promotion), and (c) predict the probability of falling into a (un)sustainable career trajectory based on psychological resources (i.e., personality traits and career adaptability) and sociodemographic characteristics (i.e., age, gender, and education level). Optimal matching analysis revealed a 4-cluster solution, with the traditional full-time and stable career trajectories being the predominant ones alongside more transitional or discontinuous trajectories. Differences in health, happiness and productivity were found between the four types. Furthermore, our results showed that being a woman, having a lower education level and higher neuroticism and agreeableness scores increased the likelihood of experiencing an unsustainable career.

Application of life course trajectory methods to public health data: A comparison of sequence analysis and group-based multi-trajectory modeling for modelling childhood adversity trajectories

There is increasing awareness of the importance of modelling life course trajectories to unravel how social, economic and health factors relate to health over time. Different methods have been developed and applied in public health to classify individuals into groups based on characteristics of their life course. However, the application and results of different methods are rarely compared. We compared the application and results of two methods to classify life course trajectories of individuals, i.e. sequence analysis and group-based multi-trajectory modeling (GBTM), using public health data. We used high-resolution Danish nationwide register data on 926,160 individuals born between 1987 and 2001, including information on the yearly occurrence of 7 childhood adversities in 2 dimensions (i.e. family poverty and family dynamics). We constructed childhood adversity trajectories from 0 to 15 years by applying (1) sequence analysis using optimal matching and cluster analysis using Ward's method and (2) GBTM using logistic and zero-inflated Poisson regressions. We identified 2 to 8 cluster solutions using both methods and determined the optimal solution for both methods. Both methods generated a low adversity, a poverty, and a consistent or high adversity cluster. The 5-cluster solution using sequence analysis additionally included a household psychiatric illness and a late adversity cluster. The 4-group solution using GBTM additionally included a moderate adversity cluster. Compared with the solution obtained through sequence analysis, the solution obtained through GBTM contained fewer individuals in the low adversity cluster and more in the other clusters. We find that the two methods generate qualitatively similar solutions, but the quantitative distributions of children over the groups are different. The method of choice depends on the type of data available and the research question of interest. We provide a comprehensive overview of important considerations and benefits and drawbacks of both methods.

Income inequality in later years: occupational trajectories or initial social characteristics?

This study focuses on the constitution of financial reserves in Switzerland from a longitudinal perspective. Personal income after retirement derives from financial reserves whose constitution depends both on positional factors, such as sex and birth cohorts, and processual factors, such as occupational trajectories, in the institutional context of the Swiss pension system (structural factors). We hypothesise that some processual, positional and structural factors interact with each other to shape financial reserves available in old age. We assess this set of factors and their interactions using the occupational trajectory types stemming from optimal matching analysis (OMA) combined with the hierarchical clustering and regression tree methods. We used the retrospective biographic data SHARELIFE gathered during the third wave of the SHARE survey in 2009. The results show that occupational trajectories are influential factors accounting for much of the financial reserves available in later life. However, these processual factors interact with positional factors such as sex and birth cohort. The retirement schemes generalised in Switzerland during the period under consideration add up to the effect of positional factors on the constitution of financial reserves.

MARITAL SEQUENCING ACROSS THE LIFE COURSE: RACE AND COHORT INTERSECTIONS

Abstract In this paper, we undertake an analysis of marital/cohabitation sequences over a person’s entire life course, examining intersections between race and cohort. We draw upon data from a nationally representative survey of older Americans (collected in 2005/2006; N=3005). Using optimal matching and cluster analysis, we find three clusters: those who have been without a partner for many years (10%), those who recently lost a spouse (27%), and those who are still married (62%). All three clusters tended to marry young; only 2% never married or cohabited. Non-Hispanic Black respondents were far less likely than Non-Hispanic White respondents to be in the still-married cluster. The oldest Hispanic respondents were also more likely to be in the recently-unpartnered cluster, compared to younger Hispanic respondents. Cluster membership was also associated with being married ten years later (2015/2016; 1535 retained), with the longstanding-unpartnered cluster less likely to be married, compared to the recently-unpartnered cluster.

Learning While Working:

As the demand for lifelong learning increases, many working adults have turned to online graduate education in order to update their skillsets and pursue advanced credentials. Simultaneously, the volume of data available to educators and scholars interested in online learning continues to rise. This study seeks to extend learning analytics applications typically oriented toward understanding student interaction with course content, instructors, and peers to the program level in order to gain insight into the ways in which adult learners manage their learning progress over multiple courses and multiple semesters. Using optimal matching analysis, we identify four distinct profiles of course enrollment behaviour among 1,801 successful graduates of an online master’s program that differ with respect to course load, semesters off, and graduation speed. We found that profiles differed significantly as a function of age and knowledge background, but not with respect to gender, ethnicity, or previous academic performance. Findings indicate the utility of expanding learning analytics focused on the micro-level of analysis to the macro-level of analysis and the utility of grounding learning analytics applications geared toward adult learners in a lifespan development perspective. Implications for program design and educational interventions are discussed.

Working hour patterns and risk of occupational accidents. An optimal matching analysis in a hospital employee cohort

BackgroundHypothesis-free studies applying advanced statistical analysis of objective working hour patterns and occupational accidents are lacking. This study aimed to identify patterns of working hours among hospital employees and to investigate the associations between the identified patterns and the risk of an occupational accident. MethodIn this cohort study of 4419 hospital employees, we collected electronic payroll-based working hour data (i.e., timing and duration) for each participant and linked them to records of occupational accident register between 2008 and 2018. We used optimal matching to assess similarity between individual working hour patterns for a period of 7 days preceding an accident or, for employees without an accident, a random pseudo-accident date. Using cluster analysis, we categorized employees into working hour pattern clusters. Log-binomial regression was used to examine risk ratios (RR) with 95 % confidence intervals (CI) of an occupational accident between cluster memberships. Results1626 participants experienced an occupational accident which took place either at the workplace (65 %) or while commuting (35 %). Six clusters of working hour patterns were identified. Compared to the cluster with the fewest accidents, clusters with a higher proportion of accidents were characterized by late work shifts and a high proportion of quick returns (<11-hour shift interval,) and long work shifts (>12-hour shift), RR 1.31, 95 %CI 1.13–1.52 for the cluster with the most accidents. ConclusionsThis data-driven study suggests that working late and long with insufficient rest is associated with increased probability of occupational accidents. Working hour arrangements in 24/7 care of hospital merit attention to regularity and sufficient rest to support occupational safety.

Who is absent from school when? An optimal matching analysis of within-year variation in the timing of school absences

Although school absenteeism trajectories can be studied through various parameters and dimensions, such as the amount of school absenteeism, sequence, and timing, most studies have only focused on changes in the amount of school absenteeism. However, when investigating the nature of school absenteeism, an analysis cannot be restricted to just changes in the amount of school absenteeism. In this article, I show how applying optimal matching on time-stamped half days of missed school (n = 6260) enables researchers, policy makers, and school professionals to uncover socio-temporal regularities in trajectories of non-attendance (i.e., the degree to which groups of pupils are absent at the same time and in the same rhythm within a given school year). Results indicated that students fall into five types of trajectories, and that these are highly predictive of student's examination results at the end of the school year. In the Discussion, I elaborate on the implications of these findings.

Understanding multimorbidity trajectories in Scotland using sequence analysis

Understanding how multiple conditions develop over time is of growing interest, but there is currently limited methodological development on the topic, especially in understanding how multimorbidity (the co-existence of at least two chronic conditions) develops longitudinally and in which order diseases occur. We aim to describe how a longitudinal method, sequence analysis, can be used to understand the sequencing of common chronic diseases that lead to multimorbidity and the socio-demographic factors and health outcomes associated with typical disease trajectories. We use the Scottish Longitudinal Study (SLS) linking the Scottish census 2001 to disease registries, hospitalisation and mortality records. SLS participants aged 40–74 years at baseline were followed over a 10-year period (2001–2011) for the onset of three commonly occurring diseases: diabetes, cardiovascular disease (CVD), and cancer. We focused on participants who transitioned to at least two of these conditions over the follow-up period (N = 6300). We use sequence analysis with optimal matching and hierarchical cluster analysis to understand the process of disease sequencing and to distinguish typical multimorbidity trajectories. Socio-demographic differences between specific disease trajectories were evaluated using multinomial logistic regression. Poisson and Cox regressions were used to assess differences in hospitalisation and mortality outcomes between typical trajectories. Individuals who transitioned to multimorbidity over 10 years were more likely to be older and living in more deprived areas than the rest of the population. We found seven typical trajectories: later fast transition to multimorbidity, CVD start with slow transition to multimorbidity, cancer start with slow transition to multimorbidity, diabetes start with slow transition to multimorbidity, fast transition to both diabetes and CVD, fast transition to multimorbidity and death, fast transition to both cancer and CVD. Those who quickly transitioned to multimorbidity and death were the most vulnerable, typically older, less educated, and more likely to live in more deprived areas. They also experienced higher number of hospitalisations and overnight stays while still alive. Sequence analysis can strengthen our understanding of typical disease trajectories when considering a few key diseases. This may have implications for more active clinical review of patients beginning quick transition trajectories.

Optimal Matching Analysis of Net Buoyancy and Pitching Angle for Underwater Gliders

Optimal Matching Analysis of Net Buoyancy and Pitching Angle for Underwater Gliders

Surgical Management and Outcomes following Pathologic Hip Fracture-Results from a Propensity Matching Analysis of the Registry for Geriatric Trauma of the German Trauma Society.

Background and Objectives: The outcomes of patients with pathologic hip fractures remain unclear. Data from a large international geriatric trauma registry were analyzed to examine the outcomes of patients with pathologic hip fractures compared with patients with typical osteoporotic hip fractures. Materials and Methods: Data from the Registry for Geriatric Trauma of the German Trauma Society (Deutsche Gesellschaft für Unfallchirurgie (DGU)) (ATR-DGU) were analyzed. All patients treated surgically for osteoporotic or pathologic hip fractures were included in this analysis. Across both fracture types, a 2:1 optimal propensity score matching and multivariate logistic regression analysis were conducted. In-house mortality rate and mortality at the 120-day follow-up, as well as mobility after 7 and 120 days, reoperation rate, discharge management from the hospital and readmission rate to the hospital until the 120-day follow-up were analyzed as outcome parameters for the underlying fracture type—pathologic or osteoporotic. Results: A total of 29,541 cases met the inclusion criteria. Of the patients included, 29,330 suffered from osteoporotic fractures, and 211 suffered from pathologic fractures. Multivariate logistic regression analysis revealed no differences between the two fracture types in terms of mortality during the acute hospital stay, reoperation during the initial acute hospital stay, walking ability after seven days and the likelihood of being discharged back home. Walking ability and hospital readmission remained insignificant at the 120-day follow-up as well. However, the odds of passing away within the first 120 days were significantly higher for patients suffering from pathologic hip fractures (OR: 3.07; p = 0.003). Conclusions: Surgical treatment of pathologic hip fractures was marked by a more frequent use of arthroplasty in per- and subtrochanteric fractures. Furthermore, the mortality rate among patients suffering from pathologic hip fractures was elevated in the midterm. The complication rate, as indicated by the rate of readmission to the hospital and the necessity for reoperation, remained unaffected.

Changes in labour market histories and their relationship with paid work around state pension age: evidence from three British longitudinal studies

AbstractMany countries have implemented policies to extend working lives in response to population ageing, yet there remains little understanding of what drives paid work in later life, nor how this is changing over time. This paper utilises the 1988/89 Survey of Retirement and Retirement Plans, the 1999 British Household Panel Survey and the 2008 English Longitudinal Study of Ageing, to investigate drivers of paid work in the ten years surrounding state pension age (SPA) for women and men in, comparing cohorts born in the 1920s, 1930s and 1940s. Using optimal matching analysis with logistic and multinomial regression models, the study assesses the relative importance of lifecourse histories, socio-economic circumstances and contemporaneous factors, in determining paid work in mid- and later life. Participation in paid work in the five years preceding and beyond SPA increased markedly for men and women across cohorts, with women's lifecourses and engagement with paid work changing considerably in these periods. However, for women, a lifetime history of paid work remained a crucially important predictor of paid work in later life, and this relationship has strengthened over time. Experiencing divorce has also become an important driver of paid work around SPA for the youngest cohort. Having children later, and still having a mortgage, also independently predict labour force participation for women and men. Across all cohorts and for women and men, working at these older ages was a function of higher income and better health. These findings suggest that policies which enable people to maintain ties to paid work across the lifecourse may be more effective at encouraging later-life employment than those concerned only with postponing the retirement transition.

Evolution of professionals' careers upon graduation in STEM and occupational turnover over time: Patterns, diversity characteristics, career success, and self‐employment

SummaryWhile STEM occupational turnover constitutes a major concern for society given the importance of innovation and technology in today's global economy, it also represents an opportunity to achieve career sustainability for individuals. There is ample research on the reasons why students drop out from STEM education, but evidence on STEM professionals' career patterns and on correlates of occupational turnover after graduation is scarce. Drawing on the sustainable careers framework, the current study examines how STEM graduates' careers evolve over time, revealing diverse patterns of occupational turnover and the relationships of such career patterns with work diversity characteristics in terms of sex and ethnic minority status, career success, and self‐employment. Using longitudinal data from 1512 STEM graduates over 10 years, results of an optimal matching analysis demonstrate six career patterns that can be distinguished into three continuity (STEM, part‐STEM, non‐STEM) and three change (hybrid, boomerang, dropout) sustainable career patterns. We find differences in sex, but not in ethnic minority status, across career patterns. Further, professionals who change from STEM occupations to non‐STEM occupations show higher objective career success and are more often self‐employed than those following a continuous STEM career pattern. Theoretical and practical implications of these findings are discussed.

Typical school-to-work transitions of young adults with disabilities in Germany – a cohort study of recipients of vocational rehabilitation services after leaving school in 2008

Purpose In Germany, vocational rehabilitation (VR) for young people with disabilities (YPWD) aims to counteract disadvantages on the training and labour markets. However, the school-to-work transitions (STWT) among YPWD are underexplored. This study investigates to what extent and for whom VR provides an institutional bridge into employment. Materials and methods Based on representative administrative data of the German Federal Employment Agency, young people in VR are observed for 6.5 years after completing lower or intermediate secondary education in 2008. Using optimal matching and cluster analysis, six typical STWT trajectories are identified. Results Most of the YPWD completed company-external vocational training, some undertook regular in-firm training. These forms of training often lead to regular employment, albeit with a delay for some. Other young people are guided from training in sheltered workshops into sheltered employment. Another group exhibits problematic STWTs in which recurring unemployment and (non-training) programmes fail to lead to training or employment. Conclusions VR combined with in-firm or company-external vocational training can facilitate the STWTs of people with disabilities. However, individuals from poor families are less likely to benefit from VR. Similarly, restricted capabilities and problematic STWTs are observed when young people drop out of VR due to poor cooperation. Implications for rehabilitation Vocational training often is a prerequisite for labour market entry; however, if the structural conditions on the local labour market are unfavourable, young people with disabilities do not take up employment. Training within sheltered workshops often leads to highly institutionalised trajectories that should be reconsidered to permit greater permeability into the regular labour market. As young people with problematic STWT more often come from poor households, they should be targeted to a greater extent in the context of VR counselling.

Career trajectories of young engineers in Brazil

Discussions on the shortage of engineers have arisen in many countries. We discuss it by analyzing the career trajectories of young engineers. Applying Optimal Matching Analysis on Brazilian employment official databases, we identified eight trajectories and labor market outcomes. Main results: i) an ascensional career implies a managerial job; ii) the typical engineering career is the third most attractive career; iii) a relevant path of degradation was detected; iv) trajectories are first defined up to three years after the first job, but promotions to managerial positions may occur after eight or ten years. Crises periods affect the attractiveness of a typical engineer's career and, therefore, the demand for engineering courses.

Stability and mobility in occupational career patterns over 36 years in Swiss women and men

It is an open empirical question whether occupational trajectories are better described as linear or non-linear. We analysed occupational career patterns (OCPs) over a period of 36 years using longitudinal data from a representative sample of men and women of the German-speaking part of Switzerland. The participants were mostly born in 1963; the data collection spans from 1978 until 2015. For 584 persons, information about the occupational development from age 16 to 52 years was available. Each year’s activity was categorised using the International Standard Classification of Occupations. We conducted sequence analysis (optimal matching analysis) to find clusters and ANOVAs to compare group differences. The results showed six plausible and differentiated OCPs for both genders which support linear career models. For women, OCPs were generally stable. In contrast, men showed more change and upward mobility in OCPs. These patterns were influenced by indicators collected from participants when they were age 15, such as the family’s socio-economic status, the individual’s performance on intelligence measures and attitudes toward gender equality. Furthermore, we found several consequences of OCPs at age 52 on objective indicators of career success (status, income) and subjective indicators (work perception, life satisfaction and health status).

Association between early working life patterns, in publicly and privately owned companies, and the course of future sickness absence due to mental disorders: a cohort study in Catalonia (Spain)

ObjectivesTo assess the relationship between early working life patterns, at privately and publicly held companies, and the course of sickness absence (SA) due to mental disorders.MethodsCohort study of workers aged...