Emergency Department Use among Patients with Mental Health Problems: Profiles, Correlates, and Outcomes

Patients with mental health (MH) problems are known to use emergency departments (EDs) frequently. This study identified profiles of ED users and associated these profiles with patient characteristics and outpatient service use, and with subsequent adverse outcomes. A 5-year cohort of 11,682 ED users was investigated (2012-2017), using Quebec (Canada) administrative databases. ED user profiles were identified through latent class analysis, and multinomial logistic regression used to associate patients' characteristics and their outpatient service use. Cox regressions were conducted to assess adverse outcomes 12 months after the last ED use. Four ED user profiles were identified: "Patients mostly using EDs for accessing MH services" (Profile 1, incident MDs); "Repeat ED users" (Profile 2); "High ED users" (Profile 3); "Very high and recurrent high ED users" (Profile 4). Profile 4 and 3 patients exhibited the highest ED use along with severe conditions yet received the most outpatient care. The risk of hospitalization and death was higher in these profiles. Their frequent ED use and adverse outcomes might stem from unmet needs and suboptimal care. Assertive community treatments and intensive case management could be recommended for Profiles 4 and 3, and more extensive team-based GP care for Profiles 2 and 1.

Profiles of quality of outpatient care among individuals with mental disorders based on survey and administrative data

RATIONALE

Though it is crucial to contribute to patient recovery through access, diversity, continuity and regularity of outpatient care, still today most of these are deemed nonoptimal. Identifying patient profiles based on outpatient service use and quality of care indicators might help formulate more personalized interventions and reduce adverse outcomes.

AIMS AND OBJECTIVES

This study aimed to identify profiles of individuals with mental disorders (MDs) patterned after their outpatient care use and quality of care received, and to link those profiles to individual characteristics and subsequent outcomes.

METHODS

A cohort of 5669 individuals with MDs was considered based on data from the 2013-2014 and 2015-2016 Canadian Community Health Survey, which were linked to administrative data from the Quebec health insurance registry. Latent class analysis generated profiles based on service use over the 12 months preceding each respondent's interview, and comparative analyses were used to associate profiles with sociodemographic and clinical characteristics, and health outcomes over the three following months.

RESULTS

Four profiles were identified. Profile 1 (P-1) was labelled 'Low service use'; P-2 'Moderate general practitioner (GP) care and continuity and regularity of care'; P-3 'High GP care, continuity and regularity of care, and low psychiatrist care'; and P-4 'High psychiatrist care and regularity of care, and low GP care'. Profiles 3 and 4 (~50% of the cohort) were provided with better care, but showed worse outcomes, mainly acute care use due to more complex conditions and unmet needs. Profiles 1 and 2 had better outcomes as they showed fewer risk factors such as being younger and having better social conditions.

CONCLUSION

Intensity, diversity and regularity of care were higher in profiles with more complex MDs, chronic physical illnesses, and worse perceived health conditions. Adapting specific interventions for each profile, such as assertive community treatment or intensive case management for Profile 4, is recommended.

Innovative behaviour profile and its associated factors among nurses in China: a cross-sectional study based on latent profile analysis

OBJECTIVES

This study aimed to investigate the current status of innovative behaviours among nurses in traditional Chinese medicine (TCM) hospitals using latent profile analysis, identify potential subgroups and their population characteristics and explore factors associated with different categories.

DESIGN

Cross-sectional study.

SETTING

Six TCM hospitals in Anhui, China.

PARTICIPANTS

From 1 April 2023 to 31 July 2023, a total of 642 registered nurses with more than 1 year of work experience were recruited from the clinical departments of six TCM hospitals using a stratified cluster sampling method. 529 valid questionnaires were recovered, presenting a validity rate of 82.40%.

PRIMARY AND SECONDARY OUTCOME MEASURES

Data were collected through online surveys containing a sociodemographic questionnaire, the Nurse Innovative Behaviour Scale, the Nurse Adversity Quotient Self-Evaluation Scale and the Conditions for Work Effectiveness Questionnaire-II. Latent profile analysis was performed to identify categorisation features of nurses' innovative behaviour in TCM hospitals. Multiple logistic regression analyses were used to investigate associated factors with profile membership.

RESULTS

TCM hospital nurses' innovative behaviours were mainly classified into three types of latent profiles: low innovative behaviour (35.3%), moderate innovative behaviour (48.4%) and high innovative behaviour (16.3%). The results of multiple logistic regression analyses indicated that gender, monthly income, department, hospital level, position, nurse competency level, any training attended related to TCM knowledge and skills, adversity quotient level and structural empowerment level were the influencing factors for the potential profiles.

CONCLUSIONS

The innovative behaviour of nurses in TCM hospitals can be classified into three categories. Studying the heterogeneity of the innovative behaviour of nurses in TCM hospitals and its associated factors provides evidence for nursing administrators and educators to develop individualised interventions based on each latent characteristic to improve the innovative behaviour of nurses in TCM hospitals. It is of great significance to the heritage and innovative development of TCM nursing.

Symptom profiles in patients receiving maintenance hemodialysis and their association with quality of life: a longitudinal study

PURPOSE

Many patients receiving maintenance hemodialysis experience one or multiple symptoms. Using a latent profile analysis to identify symptom profiles may provide insights for person-centered symptom management strategies.

METHODS

This is a longitudinal study based on data from patients receiving maintenance hemodialysis at three hospitals in Shanghai, China. Of the 448 patients who completed the surveys at baseline (T1), 309 completed the 12-month follow-up survey (T2). Symptoms and quality of life were measured by the Chinese version of Kidney Disease Quality of Life 36 Short Form. The optimal classification of symptoms was identified using latent profile analysis.

RESULTS

Five symptom profiles were identified: High (9.2%), Fatigue and Gastrointestinal (7.1%), Fatigue and Skin (10.7%), Skin (23.2%), and Low (49.8%). The high-symptom profile and the-fatigue-and-skin-symptom profile were associated with a lower level of physical functioning, a higher burden of kidney disease, and more negative effects of kidney disease than the low symptom profile at T1 and T2. Multivariate regression analysis showed that the high-symptom profile predicted a poorer physical functioning at T2, and the-fatigue-and-skin-symptom profile predicted a poorer physical functioning and higher burden of kidney disease at T2.

CONCLUSION

Patients receiving maintenance hemodialysis reported unique symptom experiences which could be classified into different profiles. Patients reporting an overall high level of symptoms or a high level of fatigue and skin symptoms were more likely to have a poorer quality of life.

Characterizing different patterns of digital competence and their associations with loneliness and social isolation among older adults: findings from South Korea

OBJECTIVES

With the advent of worldwide internet networks in the digital age, digital competence can play an important role in decreasing loneliness and social isolation in older adults. This study characterized different patterns of digital competence among older adults and examined their associations with loneliness and social isolation.

METHOD

The sample included 315 older Korean adults (M = 68.79, range = 65-84) who completed an online survey.

RESULTS

Latent profile analysis identified four different profiles of digital competence, including 1) low activity (28%) who did not choose digital participation despite advanced technical skills, 2) unskilled (13%) who had limited technical skills, 3) passive participation (25%) who was motivated for digital interactions even with insufficient technical skills, and 4) active participation (34%) who were involved in digital activities with the necessary skills. Additionally, the unskilled profile had relatively higher levels of loneliness than did the active participation profile. The passive participation and low activity profiles showed the highest level of social isolation, followed by the unskilled, and active participation profiles.

CONCLUSION

The present findings suggest that understanding different profiles of digital competence and facilitating active digital participation related to specific profiles can be an effective strategy to reduce older adults' social isolation and loneliness.

Profiles of Permanent Supportive Housing Residents Related to Their Housing Conditions, Service Use, and Associated Sociodemographic and Clinical Characteristics

As permanent supportive housing (PSH) is the main strategy promoted to reduce homelessness, understanding how PSH resident profiles may be differentiated is crucial to the optimization of PSH implementation - and a subject that hasn't been studied yet. This study identified PSH resident profiles based on their housing conditions and service use, associated with their sociodemographic and clinical characteristics. In 2020-2021, 308 PSH residents from Quebec (Canada) were interviewed, with K-means cluster analysis produced to identify profiles and subsequent analyses to compare profiles and PSH resident characteristics. Of the three profiles identified, Profiles 1 and 2 (70% of sample) showed moderate or poor housing, neighborhood, and health conditions, and moderate or high unmet care needs and service use. Besides their "moderate" conditions, Profile 1 residents (52%) reported being in PSH for more than two years and being less educated. With the "worst" conditions and high service use, Profile 2 (18%) included younger individuals, while Profile 3 (30%) showed the "best" conditions and integrated individuals with more protective determinants (e.g., few in foster care, homelessness at older age, more self-esteem), with a majority living in single-site PSH and reporting higher satisfaction with support and community-based services. Profiles 1 and 2 may be provided with more psychosocial, crisis, harm reduction, and empowerment interventions, and peer helper support. Profile 2 may benefit from more intensive and integrated care, and better housing conditions. Continuous PSH may be sustained for Profile 3, with regular monitoring of service satisfaction and met needs.

Unpacking the 'black box' of suicide: A latent class analysis predicting profiles of suicidal ideation in a longitudinal cohort of adolescent girls from India

INTRODUCTION

Indian women account for 37% of global suicide-related deaths. As suicide is a growing concern among adolescent girls, identifying the social determinants of suicide with this group targeted prevention. We selected social determinants that include intersectional identities and broader syndemics; we then used longitudinal data from a prospective cohort of adolescent girls from Northern India to classify them into unique profiles across multiple socioecological levels.

METHODS

Girls aged 10-19 (N = 11,864) completed self-report questionnaires measuring socio-demographic and trauma exposure variables. At three-year follow-up, they were asked to indicate current suicidal ideation (SI). We conducted latent class analysis (LCA) to classify profiles and then predicted risk of current SI at three-year follow-up.

RESULTS

LCA supported a four-class solution: a 'privileged' class (Class 1; n = 1,470), a 'modal' class (Class 2; n = 7,449), an 'intergenerational violence' class (Class 3; n = 2,113), and a 'psychological distress' class (Class 4; n = 732). Classes significantly predicted odds ratios (OR) for SI at follow up; women in Class 4 were associated with the greatest likelihood of SI (OR 1.84, 95% CI 1.38, 2.47), suggesting that psychological distress factors confer greatest risk.

CONCLUSION

Results of the distinct classes of risk and protective factors indicate targets for policy-level interventions. Disrupting cycles of psychological distress and substance use, increasing access to behavioral interventions, and intervening to mitigate intergenerational violence may be particularly impactful with this population.

Identifying and understanding cognitive profiles in multiple sclerosis: a role for visuospatial memory functioning

BACKGROUND

The heterogeneous nature of cognitive impairment in people with multiple sclerosis (PwMS) hampers understanding of the underlying mechanisms and developing patient-tailored interventions. We aim to identify and classify cognitive profiles in PwMS, comparing these to cognitive status (preserved versus impaired).

METHODS

We included 1213 PwMS (72% female, age 45.4 ± 10.7 years, 83% relapsing-remitting MS). Cognitive test scores were converted to Z-scores compared to healthy controls for the functions: attention, inhibition, information processing speed (IPS), verbal fluency and verbal/visuospatial memory. Concerning cognitive status, impaired cognition (CI) was defined as performing at Z ≤ - 1.5 SD on ≥ 2 functions. Cognitive profiles were constructed using latent profile analysis on all cognitive functions. Cognitive profiles or status was classified using gradient boosting decision trees, providing the importance of each feature (demographics, clinical, cognitive and psychological functioning) for the overall classification.

RESULTS

Six profiles were identified, showing variations in overall performance and specific deficits (attention, inhibition, IPS, verbal fluency, verbal memory and visuospatial memory). Across the profiles, IPS was the most impaired function (%CI most preserved profile, Profile 1 = 22.4%; %CI most impaired profile, Profile 6 = 76.6%). Cognitive impairment varied from 11.8% in Profile 1 to 95.3% in Profile 6. Of all cognitive functions, visuospatial memory was most important in classifying profiles and IPS the least (area under the curve (AUC) = 0.910). For cognitive status, IPS was the most important classifier (AUC = 0.997).

CONCLUSIONS

This study demonstrated that cognitive heterogeneity in MS reflects a continuum of cognitive severity, distinguishable by distinct cognitive profiles, primarily explained by variations in visuospatial memory functioning.

Behind the times? Associations of working-time autonomy with health-related and occupational outcomes in health care personnel- a latent profile analysis

BACKGROUND

In the light of personnel shortage, the health care sector is facing the challenge to combine increasing employees' as well as patients' needs. The aim of this study was to investigate the association between working-time autonomy and health-related (fatigue, psychosomatic complaints and work ability), as well as occupational outcomes (job satisfaction and turnover intention) in a large sample of health care employees.

METHOD

Based on data of the BauA-Working Time survey, a sample of n = 1,093 employees working in the health care sector was analysed. Outcomes were assessed by the German Fatigue Scale, the Work Ability-Index and single-item measurements. Besides descriptive analyses, latent profile analysis (LPA) was used to determine clusters of employees based on working-time autonomy. Subsequently, regression analyses have been conducted to examine the association between autonomy clusters with health-related and occupational outcomes, controlling for sociodemographic characteristics and employment status.

RESULTS

LPA revealed that a three-cluster model was most suitable: high autonomy (cluster 1), medium autonomy (cluster 2) and low autonomy (cluster 3). The extracted profiles of working-time autonomy differed significantly in terms of sociodemographic and occupational characteristics, but not in terms of average working hours per week or monthly household income. The multivariate regression analysis revealed that being in the low-autonomy cluster was associated with more psychosomatic health complaints (IRR: 1.427, p = 0.008), lower work ability (OR 0.339, p < 0.001), as well as less job satisfaction (OR 0.216, p < 0.001).

DISCUSSION

Overall, the analyses indicate that it is crucial to prospectively consider working-time autonomy as an important factor of satisfaction, well-being and turnover intention in health care employees.

Career Adaptability and Academic Achievement Among Chinese High School Students: A Person-centered Longitudinal Study

Career adaptability, essential for high school students' career development, is closely associated with academic achievement. However, it is still unclear whether there exist multiple subgroups among Chinese high school students that exhibit distinct combinations of the career adaptability dimensions and whether these subgroups display significant differences in academic achievement. Using latent profile analysis, this study identified career adaptability profiles in Chinese high school students and examined their effects on academic achievement through a longitudinal design. Chinese high school students (Wave 1: N = 1783, 42.9% boys, Mage = 15.17, SD = 0.86; Wave 2: N = 1395, 42.9% boys, 82.4% science students, Mage = 16.19, SD = 0.88) completed a packet of measures on two occasions at eight-month intervals. Career adaptability was assessed at Wave 1, and academic achievement was assessed at Wave 2. Five distinct career adaptability profiles were identified: (1) Low control and confidence; (2) Below average; (3) Control dominant and low confidence; (4) Above average; (5) High. Profiles of career adaptability displayed significant differences in academic achievement. High, Above average, and Control dominant and low confidence students' achievements were significantly higher than Low control and confidence students. These findings indicate that students with an overall high level of career adaptability or more robust career control are more likely to achieve higher academic achievement. In addition, level (average scores of all dimensions across different profiles) and shape (distinct forms displayed by the specific combination of dimensions) effects exist in the influence of career adaptability profiles on academic achievement. This highlights the dynamic and diverse nature of adolescent career development within the Chinese high school context.

Temporal variations of vaccine hesitancy amid the COVID-19 outbreaks in Hong Kong

To inform the dynamic adjustments of vaccination campaigns, this study examined the transitions among vaccine hesitancy profiles over the COVID-19 pandemic progression and their predictors and outcomes. The transition patterns among hesitancy profiles over three periods were identified using a latent transition analysis with individuals from a longitudinal cohort study since the emergence of COVID-19 in Hong Kong. Four profiles (i.e., skeptics, apathetics, fence-sitters, and believers) emerged consistently over time. From Period 1 (third and fourth pandemic waves) to Period 2 (dormant period, vaccine rollout), 14.17% of believers became fence-sitters (ambivalization), and 12.11% of fence-sitters became apathetics (apathetization). From Period 2 to Period 3 (omicron surge and vaccine mandates), 20.21% of believers became fence-sitters. Lower trust in government predicted a transition to skepticism, whereas higher trust predicted the opposite. Staying as believers was associated with decreased hygienic and social distancing behavior. The stable hesitancy profiles amid the rapid vaccine uptake suggest that structural factors rather than personal agency may drive the surge. Ambivalization and apathetization may signal disengagement in preventive behaviors. Trust in the government is crucial in the pandemic response. Public health interventions may improve compliance with guidelines and prevent skepticism and apathy.

Young people's happiness in the context of negative life events and coping strategies: a latent profile and latent class analysis

Young people have to cope with many negative life events and stress factors to maintain their happiness. Although there are studies on how they benefit from different coping strategies and their results, there is no study that profiles/groups young people according to negative life events and coping styles. From this point of view, the study aims to determine different life events classes and stress coping profiles in young people, and to examine the differences in happiness among the new groups created according to the discovered classes and profiles. Participants consisted of 1093 young people (M = 21.08) from different state universities in Turkey. Latent profile analysis (LPA) was conducted, resulting in a 3 profile solution characterizing coping strategies: Positive-oriented (26.8%), slightly positive-oriented (50%), and negative-oriented (23.2%) coping strategy profiles. Latent class analysis (LCA) was conducted, resulting in a 2 class solution characterizing negative life events: More negative (40.1%) and less negative (59.9%) life events classes. For the purpose of the study, the profiles created with the latent profile analysis and the latent class analysis were considered together and the participants were divided into 6 groups. These groups differed significantly in terms of happiness. The group with the highest level of happiness is the group with positive-oriented coping strategies and less negative life conditions (μ = 4.35, p < .001), and the group with the lowest level of happiness is the group with negative-oriented coping strategies and more negative life conditions (μ = 3.48, p < .001). However, the findings indicated that a positive-oriented coping strategy profile (the profile that scored high on positive coping strategies and low on negative coping strategies) offers the most promising route to happiness whether experienced negative life events are less or more.

Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis

BACKGROUND

Individual psychosocial work characteristics have been associated with health and well-being of registered nurses. However, it is yet to be determined whether different types of psychosocial work characteristics form patterned profiles and how these profiles are associated with the health and well-being. The purpose of this study was to identify latent psychosocial work characteristic profiles, including procedural, interactional and distributive justice, job demand and job control, and examine whether the profiles are associated with sleep quality among early career registered nurses.

METHODS

We conducted a cross-sectional study comprising 632 early career registered nurses. Data were collected between November and December 2018 using an electronic survey with internationally validated measures including the Organizational Justice Scale, the Nurse Stress Index Scale, the Job Content Questionnaire, and the Sleep Problems Questionnaire. Latent profile analysis was used to identify groups with similar psychosocial work characteristic profiles. Multinomial and linear regression analyses were used to examine the association between latent work characteristics profiles and sleep quality.

RESULTS

Analysis yielded four profiles. The profiles were named based on the descriptions of classes as high strain/low justice, medium strain/high justice, medium strain/medium justice, and low strain/high justice. The low strain/high justice profile group (p = < 0.001) and the medium strain/high justice profile group (p = 0.002) had statistically significantly better sleep quality compared to the high strain/low justice profile group.

CONCLUSIONS

High procedural and interactional justice may alleviate strain in early career registered nurses and protect them against sleep problems. Promoting organizational justice in early career stages seems an efficient way to enhance registered nurses' well-being and sleep quality.

Effects of personal and interpersonal factors on changes of food choices and physical activity among college students

BACKGROUND

Health behaviors developed in the college years tend to persist in adulthood. However, distinct changing patterns of food choices and physical activity (PA) and their predictors are still less clear among college students. The current study sought to explore changes of food choices and PA, as well as the effects of personal and interpersonal factors.

METHOD

Two-wave longitudinal data was collected from a sample of 431 Chinese college students (Mean baseline age = 19.15 ± 0.61 years; 45.7% male). A validated self-reported food frequency questionnaire was used to assess the frequency of food choices. The Chinese revised version of physical activity rating scale was used to assess physical activity. Latent profile analysis, latent transition analysis, and multinomial logistic regression analysis were used to analyze the data.

RESULTS

Two profiles of food choices, i.e., Avoiding staples (5.1% at Time 1) and Varied diet (94.9% at Time 1), were identified at both timepoints. 90.9% remained the same profiles over time, 63.6% participants in the Avoiding staples profile shifted to the Varied diet profile, and only 6.3% of those in the Varied diet profile shifted to the Avoiding staples profile. Negative body shape-related belief was related to the translation from the Varied diet profile to the Avoiding staples profile. Further, four profiles of PA, i.e., Inactives (51.0% at Time 1), Low activies (26.0% at Time 1), Moderate activies (15.3% at Time 1), and Activies (7.7% at Time 1), were identified at both timepoints. 50.8% remained the same profiles over time, 38.6% Inactivies shifted to the other profiles, and 48.5% Activies shifted to the other profiles over time. Participants with higher self-efficacy showed an increase in PA over time, and those with lower self-efficacy and lower peer support showed a decrease in PA over time.

CONCLUSIONS

Overall, most of college students remained the same food choices profiles, and body shape-related belief contributed to changes in food choices profiles. About half of college students experienced changes in PA, and the predictors of such changes were peer support and self-efficacy. The findings extend the understanding of the personal and interpersonal predictors of health behaviors among college students from a dynamic perspective.

Integrating the person-centered approach with the study of vaccine hesitancy: Applying latent profile analysis to identify vaccine hesitancy subpopulations and assess their relations with correlates and vaccination outcomes

In scholarly and popular discussions of vaccine hesitancy, authors have repeatedly referred to different "types" of vaccine hesitant individuals; however, almost all modern research on vaccine hesitancy utilizes variable-centered approaches to identify the relation of variables rather than a person-centered approach to identify subpopulations, which suggests that a discrepancy exists between conceptual discussions and empirical research on vaccine hesitancy. For this reason, the current article conducts a latent profile analysis (LPA) on the dimensions of a well-supported vaccine hesitancy measure, which assess hesitancy towards vaccines in general. We also assess the relations of the resultant profiles (e.g., subpopulations) with relevant self-reported outcomes and correlates, wherein most of our outcomes are associated with COVID-19 and flu vaccines. Our LPA results support the existence of eight vaccine hesitancy profiles. The profile with the most unfavorable vaccination outcomes (e.g., willingness, receipt, and word-of-mouth) was associated with greater perceptions that vaccines cause health risks and unneeded when healthy; the profile with the most favorable vaccination outcomes was associated with low levels of all vaccine hesitancy dimensions. The other profiles produced a clear gradient between these two extremes. The profiles also differed regarding their standing on correlates, but the clearest difference was their relation with political orientation. Profiles with more unfavorable vaccination outcomes were associated with conservatism, whereas profiles with more favorable vaccinations outcomes were associated with liberalism. These results provide a new perspective for current understandings of vaccine hesitancy and open several avenues for future research.

Longitudinal Profiles of Recovery-Enhancing Processes: Job-Related Antecedents and Well-Being Outcomes

The present study aimed to examine longitudinal recovery profiles based on three recovery-enhancing processes, i.e., psychological detachment from work, physical exercise, and sleep. In addition, we examined whether job-related demands and resources predict profile membership and whether profile membership predicts well-being outcomes. The participants were Finnish employees (N = 664) who filled in an electronic questionnaire in three successive years. Latent profile analysis (LPA) revealed five stable profiles of recovery-enhancing processes across time: (1) physically inactive, highly detaching (15%), (2) impaired recovery processes (19%), (3) enhanced recovery processes (25%), (4) physically active, poorly detaching and sleeping (19%), and (5) physically active (29%). In addition, job-related antecedents and well-being outcomes showed unique differences between the five profiles identified. Altogether, our study takes recovery research a step forward in helping to understand how recovery-enhancing processes function simultaneously over the long-term and suggests that, from the perspective of well-being, detachment from work and good sleep are more crucial recovery processes than physical activity.

Understanding transitions in exploration profiles of students opting for higher education

Introduction

Since previous research on educational career exploration has mainly been cross-sectional and therefore has been unsuccessful in explaining how this process can change during the final year in secondary education before students make the transition to higher education, this study aimed to examine changes over time in the exploration process. A person-centered research perspective was taken to further deepen the understanding of how different exploration tasks jointly combine into meaningful profiles. In this way, this study tried to gain more insight into why some students go through this process successfully and others do not. Four goals guided this study: identifying exploration profiles of students in Fall and Spring of the final year in secondary school based on four decisional tasks (orientation, self-, broad and in-depth exploration), investigating transitions between exploration profiles across these two timepoints, and examining the role which different antecedents (i.e., academic self-efficacy, academic self-concept, motivation, test anxiety, gender, educational track, socio-economic status) play in explaining both profile membership and transitions between profiles.

Methods

Using self-report questionnaires to measure the exploration tasks and the antecedents in final year students, two cross-sectional samples collected in Fall (n = 9,567) and Spring (n = 7,254), and one longitudinal sample (n = 672) were examined.

Results

Latent profile analyses identified three exploration profiles at both timepoints: passive, moderately active, and highly active explorers. Latent transition analysis showed the moderately active explorers profile to be the most stable profile, while the passive profile was the most variable profile. Academic self-concept, motivation, test anxiety, and gender had an effect on the initial states, while motivation and test anxiety affected the transition probabilities. For both academic self-concept and motivation, students scoring higher were found to be less present in the passive or the moderately active than in the highly active profile. Furthermore, compared to students who remained in the passive profile, higher levels of motivation were associated with a higher probability to transition to the moderately active profile. Next to that, compared to students who remained in the highly active profile, higher levels of motivation were associated with a lower probability to transition to the moderately active profile. Results on anxiety were inconsistent.

Discussion

Based on substantial cross-sectional as well as longitudinal data, our findings contribute to a more comprehensive understanding of the explanatory base of important differences in the study choice making process of students opting for higher education. This may ultimately lead to more timely and fitting support for students with different exploration profiles.

Association of Individual and Neighborhood Characteristics to Problematic Internet Use among Youths and Adolescents: Evidence from Vietnam

INTRODUCTION

This study aimed to determine latent profiles from the Problematic Internet Use Questionnaire Short Form-6 (PIUQ-SF-6) score of Vietnamese youths and adolescents, which supports the diagnosis of problematic internet use among a large sample size. Moreover, it also explored factors that affect each latent profile of the PIUQ-SF-6 score among participants.

METHODS

A sample of 1477 Vietnamese people, aged 14 to 24, across five provinces participated in the study. Multinomial logistic regression determined factors related to the levels of the Problematic Internet Use Questionnaire Short Form-6 (PIUQ-SF-6) after using latent profile analysis.

RESULTS

Participants were divided into three profiles, including those at low, moderate, and high risk of internet addiction. The high-risk latent profile was obtained for 23.1% of adolescents, and the remaining percentages were, respectively, 40.2% and 36.7% of adolescents belonging to the moderate and low-risk groups. Moreover, factors including age, living alone, high Kessler psychological distress scale, excessive time on the internet, living in central cities, and high neighborhood disorder scores were found to be related to moderate- and high-risk internet addiction profiles.

CONCLUSIONS

Factors analyzed according to individual and social characteristics further explore the reasons underlying increasing internet addiction among Vietnamese youths and inform early interventions.

A configurational approach to leadership behavior through archetypal analysis

The behavioral approach to leadership, which has introduced leadership styles, has been of great importance to the leadership field. Despite its importance, scholars have recently argued and demonstrated that these styles have various conceptual, methodological, and empirical limitations that could hamper further development of the leadership field. Consequently, they have called for alternative approaches to study leadership. We argue that taking a configurational or person-oriented approach to leadership behavior, which focuses on ideal-type configurations of leadership behaviors to identify leadership archetypes, offers such an alternative. We demonstrate the potential of such an approach via the use of archetypal analysis, for a dataset of 46 behaviors across 6 leadership styles, including more than 150,000 respondents. Our results offer a clear indication for the existence of archetypes of leadership. We also suggest how the resulting archetypes can get a meaningful interpretation, and discuss implications for future research.

Heterogeneity of smartphone impact on everyday life and its relationship with personality and psychopathology: A latent profile analysis

BACKGROUND

The relationships between problematic smartphone use and psychological factors have been extensively investigated. However, previous studies generally used variable-centered approaches, which hinder an examination of the heterogeneity of smartphone impact on everyday life.

OBJECTIVE

In the present study, we capitalized on latent profile analysis to identify various classes of smartphone owners based on the impact associated with smartphone use (e.g., unregulated usage, preference for smartphone-mediated social relationships) and to compare these classes in terms of established psychological risk factors for problematic smartphone use.

METHOD

We surveyed 934 young adults with validated psychometric questionnaires to assess the impact of smartphones, psychopathological symptoms, self-esteem and impulsivity traits.

RESULTS

Smartphone users fall into four latent profiles: users with low smartphone impact, users with average smartphone impact, problematic smartphone users, and users favoring online interactions. Individuals distributed in the problematic smartphone user profile were characterized by heightened psychopathological symptoms (stress, anxiety, depression, obsessive-compulsive tendencies) and impulsivity traits. Moreover, users who preferred online interactions exhibited the highest symptoms of social anxiety and the lowest levels of self-esteem.

CONCLUSIONS

These findings further demonstrate the multidimensionality and heterogeneity of the impact of smartphone use, calling for tailored prevention and intervention strategies.

Patterns and predictors of adolescent life change during the COVID-19 pandemic: a person-centered approach

The present study investigated patterns of adolescent life changes across multiple life domains and utilized a holistic-interactionistic perspective to examine their individual, familial, and societal correlates with a sample of 2544 Chinese parent-adolescent dyads. Adolescents were aged from 10 to 19 years old (50.16% girls). Latent profile analysis revealed five life change profiles, including three improved profiles at various degrees, one unchanged profile, and one worsened profile. The majority of adolescents had an improved or unchanged life. Multinomial logistic regression analyses found that most of the individual, familial, and societal factors predicted the group memberships. Notably, parent-adolescent conflict was a significant factor that predicted memberships of all patterns. These findings show the resilience of adolescents and indicate the need for policies and interventions that consider the holistic nature of adolescents' person-context system, especially during a global crisis such as the COVID-19 pandemic.

Authentic leadership and personal and job demands/resources: A person-centered approach and links with work-related subjective well-being

The job demands-resources theory considers an open group of personal and job demands and resources. Thus, it allows us to include personal resources not yet covered (i.e., vigor at work) or less explored (i.e., emotional abilities), as well as personal demands not yet explored (i.e., overcommitment). Additionally, from this theory, it is proposed that leaders may influence employee wellbeing. Therefore, of particular interest is to analyze positive leadership styles, such as authentic leadership (AL). This study addresses three research objectives: 1) to identify profiles of employees from a person-centered approach, combining personal resources (self-perception of emotional abilities, vigor at work and self-efficacy) and personal demands (overcommitment) with job resources and demands; 2) to analyze the relation of the identified profiles with indicators of work-related subjective well-being; and 3) to acknowledge whether the AL style determines the pertaining to a profile probability. A large heterogeneous sample of Spanish employees (N = 968) responded to a questionnaire. Data were analyzed by adopting a person-centered approach using latent profile analysis. The results revealed five patterns of job and individual characteristics: Profile 5 (very low personal resources, and low job resources and demands); Profile 4 (low resources and high demands); Profile 3 (mid-level personal resources, high job resources and low demands); Profile 2 (high personal resources, mid-level job resources and high demands); and Profile 1 (high resources and low demands). Analyses showed that workers differed significantly in well-being depending on their profile membership, with Profile 1 having the highest well-being. Profiles that yielded the worst outcomes were Profile 4 and Profile 5, especially the latter. Finally, the results indicated that AL increased the probability that a profile would show a high well-being level.

Latent transition analysis in organizational psychology: A simplified “how to” guide by using an applied example

Demands for more robust designs in organizational research have led to a steady increase in the number of longitudinal studies in organizational psychology (OP) journals. Similarly, the number and ways to analyze longitudinal data have also increased. In this paper, we adopt a relatively new and promising approach to help researchers analyze their longitudinal data in OP, namely latent transition analysis (LTA). We present a simplified guideline on LTA and discuss its role for OP researchers. Moreover, we demonstrate how organizational scholars can use this method with a practical example. In this example, we investigate (a) if there are qualitatively distinct subgroups of employees based on particular patterns of psychological capital (PsyCap) dimensions (i.e., efficacy, hope, resilience, and optimism), (b) if employees stay in these subgroups or transition to other groups over time, and finally, (c) if leader-member exchange (LMX) is associated with this transition. We use LTA to examine these steps in a German sample (N = 180).

Integrated Patterns of Subjective Job Insecurity: A Multigroup Person-Centered Study

Past research attests to the pivotal role of subjective job insecurity (JI) as a major stressor within the workplace. However, most of this research has used a variable-centered approach to evaluate the relative importance of one (or more) JI facets in explaining employee physical and psychological well-being. Relatively few studies have adopted a person-centered approach to investigate how different appraisals of JI co-occur within employees and how these might lead to the emergence of distinct latent profiles of JI, and, moreover, how those profiles might covary with well-being, personal resources, and performance. Using conservation of resources (COR) theory as our overarching theoretical framework and latent profile analysis as our methodological approach, we sought to fill this gap. To evaluate the external validity of our study results, we used employee sample data from two different countries (Italy and the USA) with, respectively, n = 743 and n = 494 employees. Results suggested the emergence of three profiles (i.e., the "secure", the "average type", and the "insecure") in both country samples. The "secure" group systematically displayed a less vulnerable profile in terms of physical and psychological well-being, self-rated job performance, positive orientation, and self-efficacy beliefs than the "insecure" group, while the "average" type position on the outcomes' continua was narrower. Theoretically, this supports COR's notion of loss spirals by suggesting that differing forms of JI appraisals tend to covary within-person. Practical implications in light of labor market trends and the COVID-19 pandemic are discussed.

Diversity in people's reluctance to use medical artificial intelligence: Identifying subgroups through latent profile analysis

Medical artificial intelligence (AI) is important for future health care systems. Research on medical AI has examined people's reluctance to use medical AI from the knowledge, attitude, and behavioral levels in isolation using a variable-centered approach while overlooking the possibility that there are subpopulations of people who may differ in their combined level of knowledge, attitude and behavior. To address this gap in the literature, we adopt a person-centered approach employing latent profile analysis to consider people's medical AI objective knowledge, subjective knowledge, negative attitudes and behavioral intentions. Across two studies, we identified three distinct medical AI profiles that systemically varied according to people's trust in and perceived risk imposed by medical AI. Our results revealed new insights into the nature of people's reluctance to use medical AI and how individuals with different profiles may characteristically have distinct knowledge, attitudes and behaviors regarding medical AI.

Advances in Conceptual and Methodological Issues in Symptom Cluster Research: A 20-Year Perspective

Two conceptual approaches are used to evaluate symptom clusters: "clustering" symptoms (ie, variable-centered analytic approach) and "clustering" patients (ie, person-centered analytic approach). However, these methods are not used consistently and conceptual clarity is needed. Given the emergence of novel methods to evaluate symptom clusters, a review of the conceptual basis for older and newer analytic methods is warranted. Therefore, this article will review the conceptual basis for symptom cluster research; compare and contrast the conceptual basis for using variable-centered versus patient-centered analytic approaches in symptom cluster research; review their strengths and weaknesses; and compare their applications in symptom cluster research.

Mental wellbeing among urban young adults in a developing country: A Latent Profile Analysis

Introduction

This study aimed to explore the mental wellbeing profiles and their related factors among urban young adults in Vietnam.

Methods

A cross-sectional study was conducted in Hanoi, which is the capital of Vietnam. There were 356 Vietnamese who completed the Mental Health Inventory-5 (MHI-5) questionnaire. The Latent Profile Analysis (LPA) was used to identify the subgroups of mental wellbeing through five items of the MHI-5 scale as the continuous variable. Multinomial logistic regression was used to determine factors related to subgroups.

Results

Three classes represented three levels of MHI-5 score, which included “Poor mental health,” “Fair mental health,” and “Good mental health,” were, respectively, 14.3, 46.6, and 39.0%. Compared to a low household economy, participants with an average household economy had 2.11 and 4.79 times higher odds of being in a good mental health class relative to fair and poor mental health classes. Respondents with more than two acute symptoms had 3.85 times higher odds of being in a good mental health class relative to a poor mental health class, as compared to those without acute symptoms. Regarding the measurement of the Perceived Social Support Scale (MSPSS), people having support from their family had 1.80 and 2.23 times higher odds of being in classes of fair and good mental health relative to the poor mental health class; and participants having friend support also had 1.87 times higher odds of being in a good mental health class compared with the fair mental health class, as the MSPSS score increased by 1 unit. People with Rosenberg’s self-esteem scale increased by 1 score, those who had 1.17, 1.26, and 1.47 times higher odds of being in a good compared to fair mental health class, fair compared to poor mental health class, and good compared to poor mental health class, respectively.

Conclusion

Our findings were given to promote a new classification method for mental health screening among the general population. The current findings could be used as evidence to develop policies and plans that focus on encouraging early screening for mental health problems among the general young population in the future.

Big Five Traits Based Profiles and Humor Styles in Preadolescents

Abstract. The present study investigated the relationship between Big Five traits-based profiles and humor styles in a sample of 426 Greek preadolescents. Latent Profile Analysis yielded three distinct personality profiles: resilients, average, and undercontrollers. These profiles exhibited significant group differences in humor styles. The resilient profile displayed the highest scores on the two benign humor styles and the lowest on the two malign styles. On the contrary, the under controllers scored lowest on the two benign humor styles and highest on self-defeating humor. Findings showed that the patterns identified in the extant literature between humor, personality, and adjustment generalize to preadolescents. These are discussed with reference to prior work and relevant theoretical implications.

Dual Language Profiles in Spanish-Speaking English Learners

PURPOSE

The purpose of this study was to identify and describe latent dual language profiles in a large sample of school-age Spanish-English bilingual children designated as English learners (ELs) by their school district.

METHOD

Data for this study include 847 Spanish-speaking ELs from kindergarten to third grade. Spanish and English narrative retell language samples were collected from all participants. Four oral language measures were calculated in Spanish and English, including the subordination index, moving average type-token ratio, narrative structure scheme (NSS), and words per minute using Systematic Analysis of Language Transcript. These indicator measures were used in a latent profile analysis to identify dual language profiles.

RESULTS

The optimal model represents a four-profile solution, including a Spanish-dominant group (average Spanish, low English), an English-dominant group (low Spanish, average English), and two balanced groups (a balanced-average group and a balanced-high group). Additionally, participants displayed uneven performance across language domains and distinct patterns of unique strength or weakness in a specific domain in one of their two languages.

CONCLUSIONS

Findings from this study highlight the large variability in English and Spanish oral language abilities in school-age Spanish-speaking ELs and suggest that a dichotomous classification of ELs versus English-proficient students may not be sufficient to determine the type of educational program that best fits a specific bilingual child's need. These findings highlight the need to assess both languages across multiple language domains to paint a representative picture of a bilingual child's language abilities. The dual language profiles identified may be used to guide the educational program selection process to improve the congruence among the linguistic needs of an individual child, teachers' use of instructional language, and the goals of the educational program (i.e., improving English proficiency vs. supporting dual language development).

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.20151836.

Interest-Ability Profiles: An Integrative Approach to Knowledge Acquisition

Cognitive abilities and interests both play an important role in guiding knowledge acquisition, but most previous studies have examined them separately. The current study used a large and representative dataset to integrate interests and abilities using a person-centered approach that examines how distinct profiles of interests and abilities relate to individual strengths and weaknesses in knowledge. Two key findings emerged. First, eight interest–ability profiles were generated from Latent Profile Analysis (LPA), which replicated and extended the interrelations of interests and abilities found in previous studies using variable-centered approaches. Second, each profile’s strongest knowledge scores corresponded to their strongest abilities and interests, highlighting the importance of interest–ability profiles for guiding the development of knowledge. Importantly, in some domains, the lower ability profiles were actually more knowledgeable than higher ability profiles. Overall, these findings suggest that people learn best when given opportunities to acquire knowledge relevant to both their interests and abilities. We discuss how interest–ability profiles inform integrative theories of psychological development and present implications for education and career development.

Higher education managers’ perspectives on quality management and technology acceptance: A tale of elders, mediators, and working bees in times of Covid-19

The Covid-19 pandemic has emphasized the role of educational management information systems (EMIS) for quality management (QM) in higher education, and set new directions for post-pandemic studies. Successful implementation of QM processes depends largely on managers' perceptions about quality and educational technology. However, higher education managers’ profiles regarding these quality perceptions and their EMIS acceptance have been insufficiently investigated so far. In response to this research gap, we identified such profiles based on a quantitative survey of N = 70 managers from Chilean higher education institutions during the Covid-19 pandemic. A cluster analysis revealed three distinct manager types: “Elders” (oldest participants, almost equally distributed across positions, with least frequent EMIS access, moderate EMIS acceptance, and highest QM perceptions), “Mediators” (in operational and middle-management positions, with moderately frequent access to EMIS, and lowest EMIS acceptance and QM perceptions), and “Working Bees” (younger females in operational positions, with most frequent EMIS access, highest EMIS acceptance, and moderate QM perceptions). Knowledge of these profiles may enable customized training in the recovery after the Covid-19 pandemic.

A Social Media Study on Demographic Differences in Perceived Job Satisfaction

Effective ways to measure employee job satisfaction are fraught with problems of scale, misrepresentation, and timeliness. Current methodologies are limited in capturing subjective differences in expectations, needs, and values at work, and they do not lay emphasis on demographic differences, which may impact people's perceptions of job satisfaction. This study proposes an approach to assess job satisfaction by leveraging large-scale social media data. Starting with an initial Twitter dataset of 1.5M posts, we examine two facets of job satisfaction, pay and supervision. By adopting a theory-driven approach, we first build machine learning classifiers to assess perceived job satisfaction with an average AUC of 0.84. We then study demographic differences in perceived job satisfaction by geography, sex, and race in the U.S. For geography, we find that job satisfaction on Twitter exhibits insightful relationships with macroeconomic indicators such as financial wellbeing and unemployment rates. For sex and race, we find that females express greater pay satisfaction but lower supervision satisfaction than males, whereas Whites express the least pay and supervision satisfaction. Unpacking linguistic differences, we find contrasts in different groups' underlying priorities and concerns, e.g., under-represented groups saliently express about basic livelihood, whereas the majority groups saliently express about self-actualization. We discuss the role of frame of reference and the "job satisfaction paradox", conceptualized by organizational psychologists, in explaining our observed differences. We conclude with theoretical and sociotechnical implications of our work for understanding and improving worker wellbeing.

A Person-Centered Approach to Adolescent Nonsuicidal Self-Injury: Predictors and Correlates in a Community Sample

Growing incidence of nonsuicidal self-injury (NSSI) and a lack of intensive examination of NSSI variability among adolescents justify identification of latent classes based on the endorsement of different NSSI behaviors. Latent class analysis was used to detect the heterogeneity of past month NSSI among 322 high school students (73.2% female). Two interpretable latent classes emerged. The Severe/Multimethod NSSI class (39%) engaged in almost all forms of NSSI with high intensity and motivated mainly for intrapersonal reasons. The results imply that compared to Mild/Moderate NSSI group (61%), the Severe class is at greater risk for poor mental health, which can exacerbate further NSSI acts. In school settings, identifying adolescents who are vulnerable for more severe NSSI can help to interrupt NSSI trajectories to emerging adulthood.

Motivational Profiles in Unemployment: A Self-Determination Perspective

In general, being unemployed has negative implications for the individual and the mental health of the public as a collective. One way to escape this situation is to search for a job. However, following self-determination theory (SDT), unemployed people's different reasons (i.e., their motivation) for engaging in a job search influence their well-being, attitudes, and behaviors for better or worse. Some research has already supported the associations between different types of motivation and these outcomes, but less is known about how these types of motivation simultaneously associate with these outcomes. The current study addressed this issue by studying how different motivational profiles had different implications for the affective experiences, commitment to employment, and job search behavior of the unemployed. Latent profile analysis, among 865 unemployed individuals from previously disadvantaged communities in South Africa, highlighted four distinct motivational profiles: motivated, ambivalent, amotivated, and unmotivated. The motivated reported some good well-being (i.e., positive experiences) and economic outcomes (i.e., employment commitment and job search), but these came at a cost (i.e., more negative experiences). The same went for the ambivalent, but to a lesser extent. Being unmotivated seemed to have the opposite effect in that it came with psychological benefits, but with economic costs, as these individuals might withdraw from the labor market. This also applied to the amotivated, although they experienced less psychological benefit than their unmotivated counterparts. The findings made several contributions to SDT and unemployment research and could help tailor interventions and policies for particular types of unemployed people.

Job analysis and job classification for addressing pay inequality in organizations: Adjusting our methods within a shifting legal landscape

Pay inequality remains a pervasive problem within the workforce. However, it can be challenging for even well-meaning and responsible organizations to effectively assess which jobs should be considered equivalent and paid the same based on both legal criteria (which have shifted over time and differ across specific statutes and jurisdictions) and scientific evidence (which continues to amass). This paper intends to initiate a solution-focused discussion on how organizations can proactively categorize jobs so that pay decisions that are made about men and women are both legally defensible and fair. We propose that integrating the job analysis/job classification literature and the pay discrimination literature (e.g., legal opinions given by courts) will inform this discussion. We first review federal and state legislation and court opinions that have set legal standards for identifying pay discrimination. We then review the relevance of job analysis/job classification for systematically defining and categorizing jobs, highlighting the legal issues that should be but (to the best of our knowledge) have not been considered when undertaking such processes. Our intention is for this article to spark dialogue among researchers and practitioners regarding the identification of methods with which organizations can strive to meet equal pay standards and goals, applying both legal and scientific perspectives.

Do You Feel Included? A Latent Profile Analysis of Inclusion in the Chinese Context

Although the importance of inclusion has been firmly supported by prior studies, the question of whether certain subgroups exist in the workplace whose members feel more or less included remains under-explored, limiting our understanding of how an inclusive workplace can be achieved. To address this gap, the current study conducted a latent profile analysis (LPA) to obtain evidence-based information regarding employees’ sense of inclusion in their organizations. Using a sample of 1,168 participants engaged in multiple industries in China, we identified three profiles of inclusion, with a largest proportion feeling a moderate level of inclusion (69.5%), a smaller proportion feeling a high level of inclusion (22.7%), and a tiny proportion feeling a low level of inclusion (7.8%). The three profiles differ significantly on key variables, demonstrating that the group feeling more included tends to be more aged and tenured, hold a higher educational degree, work in the high-tech sector, and come from a developed area. Such a group also shows more engagement in their work but less exhaustion, feels that they have more opportunities for development, and gains more support from colleagues and supervisors. Our findings point to the existence of subgroups of inclusion within the Chinese context and highlight the characteristics of these profiles, which in turn shed lights on how we can reach the goal of inclusion.

The Nexus between Study Burnout Profiles and Social Support —The Differences between Domestic (Finnish) and International Master’s Degree Students

The present study investigated the variation in higher education students’ study burnout experiences and how they are related to academic success and social support needs. Similarities and differences between the international and domestic students were also explored. In this mixed-methods study, the data were collected through a self-reported questionnaire, and a total of 902 (response rate 42%) first year master’s students from the fields of arts, business and technology responded. Using Latent Profile Analysis (LPA), we detected three distinct study burnout risk profiles (No exhaustion or cynicism; Exhausted; Exhausted and cynical). The following distinct forms of social support needs were found using theory-based qualitative content analysis: informational, instrumental, emotional, and co-constructional support. We found out that the students with highest risk of burnout had the lowest grade point averages (GPAs). Further investigation showed that international students pass their courses despite the experiences of study burnout, even though the GPAs might deteriorate. When the domestic students experience study burnout symptoms, they both gain fewer study credits and earn lower GPAs. Finally, a relationship between the form of support needed and the burnout profile was identified.

Males and females with first episode psychosis present distinct profiles of social cognition and metacognition

Deficits in social cognition and metacognition impact the course of psychosis. Sex differences in social cognition and metacognition could explain heterogeneity in psychosis. 174 (58 females) patients with first-episode psychosis completed a clinical, neuropsychological, social cognitive, and metacognitive assessment. Subsequent latent profile analysis split by sex yielded two clusters common to both sexes (a Homogeneous group, 53% and 79.3%, and an Indecisive group, 18.3% and 8.6% of males and females, respectively), a specific male profile characterized by presenting jumping to conclusions (28.7%) and a specific female profile characterized by cognitive biases (12.1%). Males and females in the homogeneous profile seem to have a more benign course of illness. Males with jumping to conclusions had more clinical symptoms and more neuropsychological deficits. Females with cognitive biases were younger and had lower self-esteem. These results suggest that males and females may benefit from specific targeted treatment and highlights the need to consider sex when planning interventions.

Publishing quantitative careers research: challenges and recommendations

Purpose

This article aims to provide prospective authors guidelines that will hopefully enable them to submit more competitive manuscripts to journals publishing careers research.

Design/methodology/approach

Based on their experience as an author, reviewer and editorial team member, the authors identify the main criteria that a quantitative study must meet to be considered for publication in international peer-reviewed journals covering career-related topics. They emphasize the importance of contributing to the careers literature and of designing the study in accordance with the research question.

Findings

Manuscripts are rejected because they are insufficiently innovative, and/or because sample, instruments and design are not appropriate to answer the research question at hand. Cross-sectional designs cannot be used to answer questions of mediation but should not be discarded automatically since they can be used to address other types of questions, including questions about nesting, clustering of individuals into subgroups, and to some extent, even causality.

Originality/value

The manuscript provides an insight into the decision-making process of reviewers and editorial board members and includes recommendations on the use of cross-sectional data.

Team Composition Revisited: A Team Member Attribute Alignment Approach

Research methods for studying team composition tend to employ either a variable-centered or person-centered approach. The variable-centered approach allows scholars to consider how patterns of attributes between team members influence teams, while the person-centered approach allows scholars to consider how variation in multiple attributes within team members influences subgroup formation and its effects. Team composition theory, however, is becoming increasingly sophisticated, assuming variation on multiple attributes both within and between team members—for example, in predicting how a team functions differently when its most assertive members are also optimistic rather than pessimistic. To support this new theory, we propose an attribute alignment approach, which complements the variable-centered and person-centered approaches by modeling teams as matrices of their members and their members’ attributes. We first demonstrate how to calculate attribute alignment by determining the vector norm and vector angle between team members’ attributes. Then, we demonstrate how the alignment of team member personality attributes (neuroticism and agreeableness) affects team relationship conflict. Finally, we discuss the potential of using the attribute alignment approach to enrich broader team research.

Are We Stuck in the Predigital Age? Embracing Technology-Mediated Change Management in Organizational Change Research

Technology-mediated change management (TMCM) refers to an organization's use of digital technologies to facilitate change implementation. The use of digital technology is deeply penetrating change practice. However, alarmingly, few have theorized about or empirically investigated TMCM. A rich body of research informs change management, however, less is known about how technologies are changing the nature of managing the change itself. We stimulate new conversations on this topic by discussing how TMCM provides both valuable benefits and creates new risks in terms of the (a) adaptiveness, (b) personalization, and (c) openness of the change process. TMCM requires urgent attention as it has the potential to help shape the future of change research and practice. We call for scholarship that is reflexive about both the benefits and risks associated with TMCM and we offer directions for research in this relatively new area that may very well determine the future of our field.

Striving for inclusion: evidence from China using a latent profile approach

Purpose

This study aims to identify profiles of inclusion in the workplace to provide evidence-based guidance to build an inclusive organization.

Design/methodology/approach

Latent profile analysis (LPA), a person-centred classification analytical tool, was applied to determine the subtypes of inclusion with Mplus 7.4, using two-wave data collected from 368 employees in 8 Chinese companies.

Findings

Three subgroups were identified: identity inclusion group (the highest level of inclusion, 34.0%), value inclusion group (the moderate level of inclusion, 47.5%) and low inclusion group (the lowest level of inclusion, 18.5%). The findings indicate that groups with male, aged and highly educated members, as well as members from developed areas generally tend to feel more included and greater inclusion relates to more favourable outcomes and fewer detrimental consequences.

Research limitations/implications

As this study was conducted only in China, the results may not be generalizable to non-Chinese contexts.

Practical implications

The results may help organizational leaders develop a deeper understanding of the significance and the crux of inclusion. To address the duality of workforce diversity, managers can take initiatives to create an inclusive organization. To achieve inclusion, managers should pay attention to ways of improving the perceptions of inclusion among all employees.

Originality/value

This is among the first studies to identify the variants in inclusion in China using LPA. It reveals the subtypes and characteristics of inclusion and can serve as a starting point to explore how to realize organizational inclusion in theory and practice.

Trust Profiles: Associations With Psychological Need Satisfaction, Work Engagement, and Intention to Leave

The study aimed to identify trust profiles in the work domain and to study how these patterns related to psychological need satisfaction, work engagement, and intentions to leave. A cross-sectional survey with a convenience sample (N = 298) was used. The Behavioral Trust Inventory, the Work-related Basic Need Satisfaction Scale, the Work Engagement Scale, and the Turnover Intention Scale were administered. The results showed four trust profiles: skeptic, reliance-based, moderately cautious, and optimistic trustors represented participants' responses on behavioral trust. Skeptic and optimistic trustors (who represented about 50% of the sample) differed primarily regarding their reliance and disclosure intensity. The other two trust profiles (representing the other 50% of the sample) reflected higher reliance and lower disclosure or lower reliance and higher disclosure. Psychological need satisfaction (comprised of autonomy, competence, and relatedness satisfaction) and work engagement were the strongest and intentions to leave the weakest for optimistic trustors (compared to skeptic trustors).