A Multilevel Person-Centered Perspective on the Role of Job Demands and Resources for Employees' Job Engagement and Burnout Profiles

The present study examined the configurations, or profiles, taken by distinct global and specific facets of job engagement and burnout (by relying on a bifactor operationalization of these constructs) among a nationally representative sample of Canadian Defence employees (n = 13,088; nested within 65 work units). The present study also adopted a multilevel perspective to investigate the role of job demands (work overload and role ambiguity), as well as individual (psychological empowerment), workgroup (interpersonal justice), supervisor (transformational leadership), and organizational (organizational support) resources in the prediction of profile membership. Latent profile analyses revealed five profiles of employees: Burned-Out/Disengaged (7.13%), Burned-Out/Involved (12.13%), Engaged (18.14%), Engaged/Exhausted (15.50%), and Normative (47.10%). The highest turnover intentions were observed in the Burned-Out/Disengaged profile, and the lowest in the Engaged profile. Employees' perceptions of job demands and resources were also associated with profile membership across both levels, although the effects of psychological empowerment were more pronounced than the effects of job demands and resources related to the workgroup, supervisor, and organization. Individual-level effects were also more pronounced than effects occurring at the work unit level, where shared perceptions of work overload and organizational support proved to be the key shared drivers of profile membership.

A latent profile analysis of the nature of social group memberships and their contribution to retirement outcomes

Positive experiences of groups (e.g., the extent to which groups are important and supportive) tend to be associated with better retirement adjustment outcomes. However, group experiences are not always positive, and we know little about their varied contribution to adjustment outcomes. We addressed this gap by exploring the nature of social group memberships - in terms of varying positive and negative experiences of groups - to better understand how social group memberships shape retirement adjustment, life satisfaction and mental health. A latent profile analysis (using data from 489 retirees and their membership of 1887 groups) identified four profiles of social group memberships: optimal (63%), slightly straining (13%), low-supportive (18%) and ambivalent (6%). Subsequent regression analysis showed that these different profiles of group membership were differentially associated with retirement adjustment outcomes: belonging to more optimal groups was associated with better perceived adjustment, higher life satisfaction and better mental health, while belonging to slightly straining and ambivalent groups contributed to poorer adjustment, lower life satisfaction and greater depression. These findings have implications for theory and practice, not least because they advance our understanding of the diversity of people's group memberships and their contribution to retirement and health outcomes.

Daily uplifts, daily hassles, and coping in military veterans' post-deployment reintegration

Our first aim was to explore the relationship between daily uplifts, daily hassles, and coping styles the first year after returning from international military missions and post-deployment work, family, and private reintegration in military veterans. Our second aim was to identify individual patterns regarding daily uplifts, daily hassles, and coping styles and to explore how they relate to the above-mentioned aspects of post-deployment reintegration. Questionnaire responses were received from 446 Swedish military veterans. Regression analyses showed that daily hassles and an escape-avoidance coping style made significant contributions in the predicted, negative direction to the amount of explained variance on reintegration indicator scales. A high level of perceived threat during the last mission also contributed to more negative integration. Using a person-centered approach, three unique profiles of response patterns were identified using a cluster analysis based on the uplift, hassles, and coping style scores. One profile was labeled "resilient and well-functioning"; its members showed favorable reintegration scores. A second profile was called "ambitious and struggling." These individuals scored medium-high on the reintegration scales. The third profile consistently indicated the least favorable reintegration scores and was labeled "worried and avoidant." The results confirm and deepen our existing knowledge.

Achievement goal profiles and their associations with math achievement, self-efficacy, anxiety and instructional quality: A single and multilevel mixture study

BACKGROUND

There is growing interest in studying the co-occurrence of multiple achievement goals and how different goal profiles relate to educational outcomes. Further, contextual aspects of the classroom have been known to influence the goals students pursue but existing studies remain confined within certain traditions and confounded by methods not well suited for studying classroom climate effects.

AIMS

This study sought to investigate achievement goal profiles in mathematics and their associations with background covariates (i.e., gender, prior achievement) and correlates at the student-level (i.e., achievement, self-efficacy, anxiety) and class-level (instructional quality dimensions of classroom management, supportive climate, instructional clarity and cognitive activation).

SAMPLE

Participants were 3836 Secondary-3 (Grade-9) students from 118 mathematics classes in Singapore.

METHODS

Achievement goal profiles and their relationships with covariates and student-level correlates were examined with updated procedures of latent profile analysis. Subsequently, multilevel mixture analysis assessed the associations of student-level goal profiles and different class-level dimensions of instructional quality.

RESULTS

Four profiles were identified: Average-All, Low-All, High-All and High-Approach. These profiles differed across covariates and correlates, with High-Approach students associated with positive outcomes and High-All students with math anxiety. Cognitive activation and instructional clarity predicted stronger membership in High-Approach profile than Average-All and Low-All, but not High-All.

CONCLUSION

Certain goal profile patterns were consistent with past studies and supported the fundamental separation of approach and avoidance goals. Less differentiating profiles were associated with undesirable educational outcomes. Instructional quality can be considered as an alternative framework for examining classroom climate effects of achievement goals.

Mentoring first-generation college students: Examining distinct relationship profiles based on interpersonal characteristics, support provision, and educational capital

The goal of this study was to identify distinct profiles among first-generation college students' mentoring relationships based on interpersonal characteristics, provision of college-related support, and mentors' educational capital. First-year, first-generation undergraduates (n = 176) identified up to six mentors, rating various relationship characteristics, the types and degrees of college-related support each mentor provided, and each mentor's level of educational attainment. Ratings were used as indicators in a multilevel latent profile analysis among mentoring relationships (n = 254), accounting for clustering of multiple mentors within individual participants. A 3-profile solution best fit the data. Profiles were distinguished by closeness, frequency of contact, degree of college-related support provided, and mentors' educational attainment. Mentors with high educational attainment ("High-Capital Mentors") provided the most support for college-related issues, even with relatively infrequent contact. During their transition to higher education, first-generation college students appear to receive more active mentoring from adults with educational capital, although other adults may serve important functions not captured by the college-specific measures used in this study.

The Profiles, Predictors, and Intergroup Outcomes of Cultural Attachment

The recent backlash against cultural globalization has raised a conundrum regarding how individuals should navigate their relationship with their cultural groups to both meet their basic need for belongingness and embrace diversity to fully leverage the benefits of globalization. Here we take an attachment perspective to tackle this issue. Employing both person- and variable-centered approaches in two studies (n1 = 328; n2 = 1,317), we verify that people can develop different cultural attachment styles toward their cultural groups (i.e., secure, preoccupied, dismissing, and fearful), which are influenced by various societal, interpersonal and intrapersonal factors. People who securely attach to their cultures will perceive less out-group threat, exhibit more identity inclusiveness, hold less intergroup biases and excessive collective self-esteem, display a greater willingness to engage in intergroup contact, and demonstrate better psychological functioning. All these effects of cultural attachment are independent from and incremental to those of general and place attachment.

Profiles of Chinese preschoolers' academic and social-emotional development in relation to classroom quality: A multilevel latent profile approach

Linking classroom quality to separate domains of child development might neglect the transactional interactions across developmental domains. This research utilized latent profiles across academic and social-emotional development to explore which aspects of classroom quality can predict children's profiles at the classroom level. Data were drawn from 96 preschool classrooms and 547 children (3-5 years old) in China in 2020. Multilevel latent profile analysis identified three profiles (entitled low-, average- and high-level development at the individual level), and two classes (entitled average and below-, average and above) at the classroom level. Multinominal logistic regression analyses revealed that instructional quality in math, science, and diversity, and the interactional quality in supporting children's learning and critical thinking, predicted children's profiles.

Tailoring dissemination strategies to increase evidence-informed policymaking for opioid use disorder treatment: study protocol

BACKGROUND

Policy is a powerful tool for systematically altering healthcare access and quality, but the research to policy gap impedes translating evidence-based practices into public policy and limits widespread improvements in service and population health outcomes. The US opioid epidemic disproportionately impacts Medicaid members who rely on publicly funded benefits to access evidence-based treatment including medications for opioid use disorder (MOUD). A myriad of misaligned policies and evidence-use behaviors by policymakers across federal agencies, state Medicaid agencies, and managed care organizations limit coverage of and access to MOUD for Medicaid members. Dissemination strategies that improve policymakers' use of current evidence are critical to improving MOUD benefits and reducing health disparities. However, no research describes key determinants of Medicaid policymakers' evidence use behaviors or preferences, and few studies have examined data-driven approaches to developing dissemination strategies to enhance evidence-informed policymaking. This study aims to identify determinants and intermediaries that influence policymakers' evidence use behaviors, then develop and test data-driven tailored dissemination strategies that promote MOUD coverage in benefit arrays.

METHODS

Guided by the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework, we will conduct a national survey of state Medicaid agency and managed care organization policymakers to identify determinants and intermediaries that influence how they seek, receive, and use research in their decision-making processes. We will use latent class methods to empirically identify subgroups of agencies with distinct evidence use behaviors. A 10-step dissemination strategy development and specification process will be used to tailor strategies to significant predictors identified for each latent class. Tailored dissemination strategies will be deployed to each class of policymakers and assessed for their acceptability, appropriateness, and feasibility for delivering evidence about MOUD benefit design.

DISCUSSION

This study will illuminate key determinants and intermediaries that influence policymakers' evidence use behaviors when designing benefits for MOUD. This study will produce a critically needed set of data-driven, tailored policy dissemination strategies. Study results will inform a subsequent multi-site trial measuring the effectiveness of tailored dissemination strategies on MOUD benefit design and implementation. Lessons from dissemination strategy development will inform future research about policymakers' evidence use preferences and offer a replicable process for tailoring dissemination strategies.

Student Athletes' Causal Attributions for Sport and School Achievement in Relation to Sport Dropout and Grade Point Average

The present study longitudinally examined stability and change in the attributional profiles of Finnish student athletes (n = 391) in upper secondary sport schools. Moreover, it examined the extent to which these profiles, and changes in them, were associated with athletes' level of sport competition and school achievements and dropouts at the end of upper secondary sport school. Using latent profile analysis, five different and highly stable attributional profiles were identified for student athletes: (a) depressive (6.9%), (b) athletic self-serving (23.0%), (c) average (16.4%), (d) learned helplessness (30.9%), and (e) responsible (22.8%). The results further showed that over the 3-year study period, the responsible attributional style, wherein individuals take responsibility for successes and failures, predicted student athletes' subsequent high grade point average and low sport dropout rates even after controlling for the impacts of their earlier grade point average, gender, and type of sport.

How do you see your role as a follower? A quantitative exploration of followers' role orientation

How people see and define their role in different social settings has been of interest in psychological science for several decades. However, followers' role orientations, followers' beliefs about their role in the workplace, and how they execute their roles, have mostly been omitted in research so far. Nevertheless, followers' role orientations are important as they can affect (work-related) behavior. Therefore, this study quantitatively investigates the structure, heterogeneity, and consistency of followers' role orientations as well as the role orientations' link to work-related traits and behaviors. For this purpose, content and statistical analysis of an Implicit-Followership-Theory Scale and latent profile analyses were conducted with data from two points in time via a sample of German employees (t1: n = 211, t2: n = 69). The results indicate that a passive/active work attitude (Enthusiasm) plays the most prominent part in differences in followers' role orientation, followed by a positive/negative work ethic (Industry), and cooperativeness toward the leader (Good Citizen). Moreover, followers can be differentiated according to their role orientations into three distinct types: the Anti-Prototype, the Moderate Anti-Prototype, and the Moderate Prototype. Followers of the Moderate Prototype have the highest values in work-related traits and behaviors like conscientiousness and personal initiative. Followers' profile affiliation is stable for three-quarters of the sample over 4-6 weeks. Overall, these findings point to role orientation being a (performance-related) follower characteristic, making role orientations relevant for application processes, especially for positions with frequent leader-follower interactions. Lastly, results show a current conceptual inaccuracy. They indicate the need to differentiate more rigorously between role orientations and Implicit Followership Theories (IFT), although currently both are often used synonymously. Therefore, recommendations for alterations to the used Implicit Followership Theory scale for capturing followers' role orientations are given, including the elimination of items with situational character and changes in wording and factor structure.

What makes a student feel vital? Links between teacher-student relatedness and teachers’ engaging messages

Recent studies suggest that teacher messages can affect students’ well-being. Using a multilevel, variable, and person-centred approach, this study aimed to identify profiles of students according to their teachers’ use of engaging messages and analyse the relation among these profiles and teacher-student relatedness and students’ subjective vitality. A total of 1209 students participated in the study. At the student-level, profile analysis indicated the existence of four different profiles: the few messages profile, the autonomous motivational appeals profile, the loss-framed messages profile, and the gain-framed messages profile. At the teacher level, profile analysis indicated the existence of two profiles: the variant and the invariant profiles. Results showed that overall, at both levels of analysis, teachers’ engaging messages related with teacher-student relatedness (either positively or negatively) with clear differences among profiles. Moreover, also at both levels of analysis, teacher-student relatedness related with students’ subjective vitality. Main findings and implications for practice are discussed.

Associations of prenatal exposure to perfluoroalkyl substances with preterm birth: A family-based birth cohort study

Studies have investigated associations between maternal exposure to PFAS and preterm birth, but the impact of paternal and overall family exposure to PFAS mixtures on preterm birth remains unknown. To address this knowledge gap, a total of 355 preterm births and 481 controls were selected for a family-based birth cohort study in a coastal area of China, between 2016 and 2018. Seven PFAS, including perfluorobutanoic acid (PFBA), perfluorohexanoic acid (PFHxA), perfluorohexanesulfonic acid (PFHxS), perfluorooctanoic acid (PFOA), perfluorooctanesulfonic acid (PFOS), perfluorononanoic acid (PFNA) and perfluorodecanoic acid (PFDA), were quantified in maternal, paternal and neonatal sera. Preterm birth was defined as live delivery at <37 completed gestational weeks. Bayesian kernel machine regression (BKMR) model was used to inspect the combined effect of family PFAS mixtures. Latent class analysis was used to identify family-level PFAS exposure profiles. Multiple linear regression analysis showed higher odds of preterm birth in association with higher maternal PFBA (OR = 1.16, 95%CI:1.09, 1.25), PFOA (OR = 1.51, 95%CI:1.27, 1.80), PFOS (OR = 2.07, 95%CI:1.70, 2.52) and PFNA (OR = 1.36, 95%CI: 1.01, 1.83), and neonatal PFBA (OR = 1.16, 95%CI:1.05,1.29), PFHxA (OR = 1.46, 95%CI:1.32, 1.62), PFHxS (OR = 1.15, 95%CI:1.05, 1.26) and PFNA (OR = 1.30, 95%CI:1.09,1.56). The associations were reversed between individual paternal PFAS exposures and preterm birth. At the family level, higher PFAS mixture concentration was associated with higher odds of preterm birth. In particular, higher PFNA and PFDA exposure was associated with greater preterm birth risk (OR = 2.55, 95%CI:1.45, 4.50). The PFAS-preterm association was modified by family-level seafood consumption. Our results suggest that higher family-level PFNA and PFDA exposure was associated with greater preterm birth risk, although the results for individual paternal, maternal and neonatal PFAS exposures were contradictory. If replicated in other coastal areas, these findings highlight a need to focus on the family triad and to consider seafood consumption when assessing the reproductive toxicity of PFAS exposure.

Individual- and school-level patterns of substance use and mental health symptoms in a population-based sample of secondary students: A multilevel latent profile analysis

BACKGROUND

While substance use and mental health symptoms commonly co-occur among adolescents, few population-level studies have examined profiles of co-occurrence to inform tailored prevention and early interventions.

METHODS

A multilevel latent profile analysis was conducted on a representative sample of 11,994 students in 68 secondary schools to: 1) identify distinct profiles of co-occurring substance use and mental health symptoms; 2) identify types of schools based on student profiles; and 3) explore school correlates of student profiles and school types, including school climate, belonging, and safety.

RESULTS

Five student profiles and three school types were identified. Among students, 57.6 % were in a low substance use and mental health profile, 22.5 % were in a high mental health but low substance use profile, 9.7 % were in a heavy drinking and cannabis use profile, 3.7 % were in a heavy drinking and smoking profile, and 6.5 % were in a high substance use and mental health profile. Positive school climate, belonging, and safety increased the odds of students being in the low profile, with belonging yielding larger effects among females. Among schools, 28 % had low, 57 % had moderate, and 15 % had high levels of student substance use and comorbid mental health symptoms. Rural schools were disproportionately represented in higher risk school types.

CONCLUSIONS

The identified student substance use and mental health symptom profiles can serve as targets for tailored prevention and early interventions. Results support examining school-based interventions targeting school climate, belonging, and safety with potential benefits to both substance use and mental health.

Worlds of distributive justice preferences: Individual- and country-level profiles of support for equality, equity and need

Based on welfare regime theory, scholars have tried to understand cross-national differences in solidarity by constructing 'worlds of welfare attitudes'. Most studies use a variable-centred logic to examine quantitative differences in support for the delivery of welfare provisions. Yet, the worlds of attitudes approach implies that qualitatively distinct logics of social justice exist. Thus, an alternative person-centred approach is needed that uncovers clusters of beliefs about the preferred type of welfare system. This article assesses individual- and country-level profiles of preferences for the principles of equality, equity and need to dissect worlds of distributive justice preferences. Multilevel latent profile analysis is applied to European Social Survey data (2018/2019). Results reveal four individual profiles that each combine distinct preferences for equality, equity and need. On the basis of the distribution of these individual profiles, three country profiles or worlds of distributive justice preferences are identified, which are not institutionally structured.

Perceived parenting styles, cognitive flexibility, and prosocial behavior in Chinese Youth with an immigrant background: A three-group comparison

Previous research has revealed cross-cultural differences in parenting styles and in how these may relate to adolescents’ prosocial behavior. Nevertheless, little is known about the role of cognitive flexibility – a key component of executive function –and the immigration context in these associations. Using a person-centered approach, the current study aimed to (1) explore perceived parenting profiles among Chinese immigrant-origin youth in Italy in comparison to their nonimmigrant ethnic majority peers in the country of origin (China) and in the country of destination (Italy), and (2) examine the moderating role of cognitive flexibility in the expected parenting-prosocial behavior link in the three cultural groups. Participants (N = 444; M (Age) = 11.88 years; SD = 1.08; 50.7% girls; 27.4% Chinese immigrant-origin, 35.4% Chinese ethnic majority; 37.2% Italian ethnic majority) completed a parenting questionnaire and a computerized cognitive flexibility task, while teachers rated their prosocial behavior. Latent profile analysis revealed three perceived parenting styles: “harsh” (15.8%), “supportive” (40.5%), and “strict-affectionate” (43.7%). Chinese immigrant-origin, Italian ethnic majority, and Chinese ethnic majority youths were overrepresented in each of these profiles, respectively. In regression analyses, the association between parenting profiles and prosocial behavior varied as a function of adolescents’ cognitive flexibility and cultural group. Specifically, cognitive flexibility strengthened the supportive parenting-prosocial behavior link for Chinese immigrant-origin youth, and buffered against the detrimental effect of harsh parenting on prosocial behavior for their Italian ethnic majority peers. Findings emphasize the influence of cultural and immigration-related factors on adolescents’ perceived parenting styles, and provide further evidence for the beneficial role of cognitive flexibility in the positive adjustment of youth with and without an immigrant background.

School Principals' Stress Profiles During COVID-19, Demands, and Resources

The present study examined latent profiles of school principals’ stress concerning students’, teachers’, parents’, and principals’ own ability to cope during the COVID-19 pandemic. In addition, the role of job demands (workload, remote work stress, difficulty to detach from work, COVID-19 crisis, COVID-19 infections at school, impact of COVID-19 on future teaching), resources (buoyancy, effective crisis leadership, social appreciation, successful transition to remote teaching), and occupational well-being (measured as job burnout and engagement) in predicting the latent profiles of stress sources was examined. The participants were 535 (59% women) school principals across Finland, who answered to a questionnaire concerning their sources of stress and occupational well-being during spring 2020. Three latent profiles were identified according to principals’ level of stress: high stress (41.4% of the school principals), altered stress (35.9%), and low stress (22.7%) profiles. Work burnout, workload, COVID-19 related concerns, and difficulty to detach from work increased the probability of principals belonging to the high or altered stress profile rather than to the low stress profile. Work engagement, buoyancy, and social appreciation increased the probability of principals belonging to the low rather than to the high or altered stress profile.

Feeling Positive, Negative, or Both? Examining the Self-Regulatory Benefits of Emotional Ambivalence

According to self-regulation theories, affect plays a crucial role in driving goal-directed behaviors throughout employees’ work lives. Yet past work presents inconsistent results regarding the effects of positive and negative affect with theory heavily relying on understanding the separate, unique effects of each affective experience. In the current research, we integrate tenets of emotional ambivalence with self-regulation theories to examine how the conjoint experience of positive and negative affect yields benefits for behavioral regulation. We test these ideas within a self-regulatory context that has frequently studied the benefits of affect and has implications for all employees at one point in their careers: the job search. Adopting a person-centered (i.e., profile-based) perspective across two within-person investigations, we explore how emotional ambivalence relates to job search success (i.e., interview invitations, job offers) via job search self-regulatory processes (i.e., metacognitive strategies, effort). Results illustrate that the subsequent week (i.e., at time t + 1; Study 1) and month (Study 2) after job seekers experience emotional ambivalence (i.e., positive and negative affect experienced jointly at similar levels at time t), they receive more job offers via increased job search effort and interview invitations. Theoretical and practical implications for studying emotional ambivalence in organizational scholarship are discussed.

Political skill in higher military staff: Measurement properties and latent profile analysis

Social effectiveness, including political skill, reflects individuals' ways of handling interpersonal processes at work. Most research has used a variable-oriented approach to investigate associations between political skill and key organizational factors, including performance, in civil settings. Thus, little is known of whether political skill transfers to a military context and whether there are specific profiles of political skill. Combining variable-oriented and person-oriented approaches, this study used self-reports from two samples of military student officers to: (1) investigate measurement properties of the 18-item political skill inventory; (2) explore whether it is possible to identify different profiles of political skill; and (3) investigate whether such profiles differ in demographics, personality, and job performance. Exploratory (sample 1: n = 185) and confirmatory (sample 2: n = 183) factor analyses supported a four-dimensional representation of political skill including networking ability, apparent sincerity, social astuteness, and interpersonal influence. Latent profile analysis (samples 1 and 2: N = 368) identified four distinct combinations of these dimensions, namely: (1) weak political skill; (2) weak political skill with strong sincerity; (3) moderate political skill; and (4) strong political skill. Importantly, profiles differed consistently in networking ability. Subsequent comparisons suggested potentially important differences in demographics, personality, and job performance. Despite needing additional research of how profiles of political skill develop over time, these findings may have practical implications for recruitment and training in organizational settings where social effectiveness is important.

Individual and Community Social Determinants of Health and Recovery from Alcohol Use Disorder Three Years following Treatment

Prior research on recovery from alcohol use disorder (AUD) has often focused on individual-level factors that promote recovery. Given systemic health inequities, it is also important to study community-level social determinants of health (SDOH) that may promote recovery from AUD. This study extended prior work examining individual profiles of recovery from AUD to assess how individual and community SDOH at the time of treatment entry were associated with recovery from AUD three years after treatment. Data were utilized from the COMBINE study (n = 664), a multisite randomized clinical trial evaluating pharmacological and behavioral treatments for AUD. Public community data sources associated with participants' study sites were used to measure community SDOH. Multilevel latent profile analyses with individual- and community-level variables as predictors of recovery profiles were estimated. Four profiles were identified based on participants' alcohol consumption and functioning. Individual SDOH variables, such as fewer years of education and lower income, and community SDOH, including lower rates of health insurance, lower income, and greater income inequality, were each associated with lower functioning profiles. The findings highlight the importance of community SDOH in AUD recovery and the value of including both individual and community SDOH variables in research on long-term recovery.

A Multilevel Person-Centered Examination of Teachers' Workplace Experiences: Replication and Extension With Links to Instructional Support and Achievement

In a replication and extension of an earlier study, we relied on person-centered analyses to identify teacher (Level 1) and school (Level 2) profiles based on teachers' experiences of job demands (barriers to professional development, disruptive student behavior), job resources (teacher collaboration, input in decision-making), and personal resources (self-efficacy). We examined data from 5,439 teachers working in 364 schools in Australia and 2,216 teachers working in 149 schools in England. Latent profile analysis revealed six teacher profiles: Low-Demand-Flourisher (11%), Mixed-Demand-Flourisher (17%), Job-Resourced-Average (11%), Balanced-Average (14%), Mixed-Resourced-Struggler (11%), and Low-Resourced-Struggler (36%). Two school profiles were identified: an Unsupportive school profile (43%) and a Supportive school profile (57%). Several significant relations between these profiles and teacher/school characteristics and work-related outcomes were also identified at both levels. Although our results generally replicated prior findings, some differences were also observed, possibly as a results of recent changes in policies regarding in teacher support and accountability. Next, we extended prior work using a subsample of the Australian teachers for whom we had matching student data. This second set of results revealed that schools with a greater proportion of low-SES students were more likely to present an Unsupportive school profile. Moreover, the Supportive school profile was associated with higher levels of student-reported instructional support and school-average achievement in reading, mathematics, and science.

On the Dynamics of the Psychosocial Work Environment and Employee Well-Being: A Latent Transition Approach

The current study investigates employee well-being in stable versus changing psychosocial working conditions, using the Job Demand-Control theoretical framework. It thereby addresses a gap in the literature dealing with how the dynamics of the work environment may affect different aspects of well-being, such as job satisfaction, work stress, mental health complaints, and overall quality of life. The study was carried out on a large heterogeneous sample of employees in Switzerland (N = 959) and was based on two measurement points. Latent profile and latent transition analyses were used to analyse the data. The findings revealed three commonly encountered and temporally quite stable patterns of job characteristics (i.e., latent profiles), defined by low, average, or high job control and average job demands. The average demand-low control combination was the most precarious, whereas a combination of average demands and high control was the most beneficial and it clearly outperformed the balanced average demands-average control pattern. Furthermore, our results partially supported the claim that employee well-being is contingent on the dynamics (i.e., transition scenarios) of the psychosocial work environment. They particularly highlight the central role of job resources in preventing the deleterious effects on well-being, which may occur even in relatively mild situations where job demands are not excessive.

Identifying Student Subgroups as a Function of School Level Attributes: A Multilevel Latent Class Analysis

The purpose of the present study was to profile high school students’ achievement as a function of their demographic characteristics, parent attributes (e.g., education), and school behaviors (e.g., number of absences). Students were nested within schools in the Saudi Arabia Kingdom. Out of a large sample of 500k, participants involved 3 random samples of 2,000 students measured during the years 2016, 2017, and 2018. Randomization was conducted at the student level to ensure that all school units will be represented and at their respective frequency. Students were nested within 50 high schools. We adopted the multilevel latent profile analysis protocol put forth by Schmiege et al. (2018) and Mäkikangas et al. (2018) that account for nested data and tested latent class structure invariance over time. Results pointed to the presence of a 4-profile solution based on BIC, the Bayes factor, and several information criteria put forth by Masyn (2013). Latent profile separation was mostly guided by parents’ education and the number of student absences (being positive and negative predictors of high achievement classes, respectively). Two models tested whether the proportions of level 1 profiles to level 2 units are variable and whether level 2 profiles vary as a function of level 1 profiles. Results pointed to the presence of significant variability due to schools.

Job Demand-Control-Support Latent Profiles and Their Relationships with Interpersonal Stressors, Job Burnout, and Intrinsic Work Motivation

In the Job Demand-Control-Support (JDCS) model, the combination of job demands, job control, and social support was hypothesized to lead to eight different constellations of job types. According to the model, these constellations are linked to wellbeing/health and learning outcomes. In the last three decades, these constellations of job types have been investigated by adopting a variable-centered perspective. However, latent profile analyses (LPA) enable a person-centered approach and empirically capture constellations of job types. In the present study, we used LPA to empirically identify distinct profiles of JDCS among Italian healthcare workers. Furthermore, we investigated the role of social stressors (workplace relationships and coworkers’ incivility) as antecedents of these profiles and the association of these profiles with job burnout and work motivation. Results from LPA (n = 1671) revealed four profiles: Isolated Prisoner, Participatory Leader, Moderate Strain, and Low Strain. Negative relationships at work and coworkers’ incivility increased the chances of being included in both Isolated prisoner and Participatory Leader profiles. Finally, the Isolated Prisoner and Moderate Strain profiles showed the highest levels of emotional exhaustion and cynicism and the lower levels of intrinsic work motivation. This study extends previous JDCS research, highlighting that researchers should consider empirically identified profiles rather than theoretically defined subgroups. Implications for stress theory, future research, and practice are discussed.

Connecting Youth: The Role of Mentoring Approach

While formal youth mentoring can positively influence youth connectedness, little research has studied the specific approaches mentors engage in that support mentee social development. This study examines how mentors' specific approaches are uniquely associated with youth connection outcomes in formal community-based mentoring. Participants were 766 youth, ranging in age from 11 to 14 (M = 12.29), 56.7% female, and racially/ethnically diverse (41.0% Black/African American, 21.4% Hispanic/Latinx, 20.0% White, 10.2% Multiracial/Multiethnic, 5.9% Native American, 1.2% other race, and 0.4% Asian/Pacific Islander). Person-centered analyses revealed three mentoring profiles which were differentially associated with youth outcomes: "Status Quo Mentors," who reported low-to-moderate levels of closeness within the mentor-mentee dyad, low levels of connecting their mentees with programs and people in their community, and low levels of mediating for their mentees; "Close Connectors," who reported moderate-to-high levels of closeness, moderate-to-high levels of connecting, and low levels of mediating; and "Connector-Mediators," who reported moderate levels of closeness, connecting, and mediating. Youth mentored by "Close Connectors" demonstrated the greatest benefit, with significant improvements in parent-child relationship quality, extracurricular activity involvement, and help-seeking. Results suggest that community-based mentoring programs that emphasize connecting youth within their communities may be more effective in enhancing youth support networks.

A Multilevel Person-Centered Examination of Teachers' Workplace Demands and Resources: Links With Work-Related Well-Being

Teachers’ healthy and effective functioning at work is impacted by the demands they face and the resources they can access. In this study, person-centered analysis was adopted to identify distinct teacher profiles of demands and resources. We investigated teachers’ experiences of two job demands (barriers to professional development and disruptive student behavior), two job resources (teacher collaboration and input in decision-making), and one personal resource (self-efficacy for teaching). Using data from the Teaching and Learning International Survey (TALIS) 2013, the study involved 6,411 teachers from 369 schools in Australia and 2,400 teachers from 154 schools in England. In phase one, latent profile analysis revealed five teacher profiles that were similar across the two countries: the Low-Demand-Flourisher (12%), Mixed-Demand-Flourisher (17%), Job-Resourced-Average (34%), Balanced-Average (15%), and Struggler (21%). The profiles were differently associated with two background characteristics (teacher gender and teaching experience) and two work-related well-being outcomes (job satisfaction and occupational commitment). In phase two, we extended our analysis to the school-level to identify school profiles based on the relative prevalence of the five teacher profiles within a school. Indeed, a yield of large scale datasets such as TALIS is that there are sufficient units at the school-level to enable institutional insights, beyond insights garnered at the individual teacher-level. Two school profiles that were similar in both countries were revealed: the Unsupportive school profile (58%) and the Supportive school profile (42%). The Supportive school profile was associated with higher school-average teacher job satisfaction and occupational commitment than the Unsupportive school profile. Taken together, the findings yield knowledge about salient teacher and school profiles, and provide guidance for possible interventions at the teacher- and school level.

The Value of Character-Based Judgement in the Professional Domain

Dimensions of character are often overlooked in professional practice at the expense of the development of technical competence and operational efficiency. Drawing on philosophical accounts of virtue ethics and positive psychology, the present work attempts to elevate the role of 'good' character in the professional domain. A 'good' professional is ideally one that exemplifies dimensions of character informed by sound judgement. A total of 2340 professionals, from five discrete professions, were profiled based on their valuation of qualities pertaining to character and judgement. Profile differences were subsequently examined in the self-reported experience of professional purpose towards a wider societal 'good'. Analysis of covariance, controlling for stage of career, revealed that professionals valuing character reported higher professional purpose than those overweighting the importance of judgement or valuing neither character nor judgement, F(3, 2054) = 7.92, p < .001. No differences were found between the two groups valuing character, irrespective of whether judgement was valued simultaneously. This profiling analysis of entry-level and in-service professionals, based on their holistic character composition, paves the way for fresh philosophical discussion regarding what constitutes a 'good' professional and the interplay between character and judgement. The empirical findings may be of substantive value in helping to recognise how the dimensions of character and judgement may impact upon practitioners' professional purpose.

Characterizing the heterogeneity of clinician practice use in community mental health using latent profile analysis

BACKGROUND

The behavioral health service provider population is highly heterogeneous. However, it is rarely treated as such within evidence-based practice implementation efforts. This study aimed to evaluate, as a proof of concept, the utility of latent profile analysis to identify distinct profiles of clinician practices in a large sample of youth-serving community mental health clinicians. This study also aimed to identify predictors of profile membership to inform implementation efforts.

METHODS

Participants were 484 practicing clinicians (79.4% female, 45.7% White, M age = 37.1 years). As part of a larger survey, clinicians reported on their use of cognitive, behavioral, family, and psychodynamic treatment techniques with a representative client on their caseload. Latent profile analysis was used to determine the presence of clinician practice profiles. Multilevel multinomial logistic regressions examined predictors of profile membership.

RESULTS

Latent profile analysis indicated a 4-profile solution best fit the data, with clinicians who: 1) used generally low levels of all examined techniques and preferred cognitive techniques (Low Eclectics, 16%), 2) delivered moderate levels of all techniques (Moderate Eclectics, 53%), 3) demonstrated preference for use of family techniques (Family Preferred, 11%), and 4) used high levels of all techniques (Super Users, 20%). Clinician discipline (e.g., social work), education, and years of experience predicted profile membership.

CONCLUSIONS

Findings from this proof of concept study underscore the utility of latent profile analysis to characterize the complex and heterogeneous makeup of community mental health. Results extend prior work highlighting the eclectic nature of community mental health practice. Predictor analyses underscore the important influence of clinician background characteristics on practice use.

Can Work Engagement Be a Resource for Reducing Workaholism's Undesirable Outcomes? A Multiple Mediating Model Including Moderated Mediation Analysis

This study aimed to explore a possible process explaining the relationship between workaholism and sleep disorders, including two mediators: work-family conflict and emotional exhaustion. Moreover, since a possible buffering role of work engagement was recently proposed against the detrimental effects of workaholism, the aim was to examine the moderating role of work engagement in the relationship between workaholism and several outcomes such as work-family conflict, emotional exhaustion, and sleep disorders. Two models were tested using conditional process analysis for testing direct and indirect effects on a sample of 395 employees: (1) a serial multiple mediation model, and (2) the same serial multiple mediation model including the moderating role of work engagement. Results showed a significant mediating effect of both work-family conflict and emotional exhaustion. Moreover, work engagement moderated the relationship between workaholism and work-family conflict and the relationship between workaholism and emotional exhaustion. This work contributes to the understanding of the process underlying the relationship between workaholism and sleep disorders and to the literature reporting the possible protective role of work engagement on the negative outcomes of workaholism. Practical implications are also discussed.

Person-Centered Methodologies in the Organizational Sciences

The 2011 Organizational Research Methods Feature Topic on latent class procedures has helped to establish person-centered analyses as a method of choice in the organizational sciences. This establishment has contributed to the generation of substantive-methodological synergies leading to a better understanding of a variety of organizational phenomena and to an improvement in research methodologies. The present Feature Topic aims to provide a user-friendly introduction to these new methodological developments for applied organizational researchers. Organized around a presentation of the typological, prototypical, and methodologically exploratory nature of person-centered analyses, this introductory article introduces seven contributions aiming to: (a) clarify the meaning, advantages, and applications of person-centered analyses; (b) illustrate emerging prototypical and longitudinal cluster analytic approaches; (c) introduce researchers to multilevel person-centered analyses as well as to auxiliary approaches that will drastically increase the scope of application of these methods; and (d) describe the application of these methods for confirmatory purposes.