scholarly journals Highly Engaged but Burned Out: Intra-Individual Profiles in the US Workforce

2018 ◽  
Author(s):  
Julia Moeller ◽  
Zorana Ivcevic ◽  
Arielle E. White ◽  
Jochen Menges ◽  
Marc A. Brackett
Keyword(s):  
Information Processing ◽  
Frequency Analysis ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Configural Frequency Analysis ◽  
The Us ◽  
Processing Demands ◽  
Individual Profiles ◽  
High Engagement ◽  
The U.S

Purpose: This study used the job demands-resources model to investigate intra-individual engagement–burnout profiles, and demands–resources profiles. Methodology: A representative sample of the U.S. workforce was surveyed online. Latent profile analysis (LPA) and configural frequency analysis examined intra-individual profiles and their inter-relations.Findings: A negative inter-individual correlation between engagement and burnout suggested that burnout tends to be lower when engagement is high, but intra-individual analyses identified both aligned engagement–burnout profiles (high, moderate, and low on both variables), and discrepant profiles (high engagement–low burnout; high burnout–low engagement). High engagement and burnout co-occurred in 18.8% of workers. These workers reported strong mixed (positive and negative) emotions and intended to leave their organization.Another LPA identified three demands–resources profiles: (1) low demands–low resources, but moderate self-efficacy, (2) low workload and bureaucracy demands but moderate information processing demands–high resources, and (3) high demands–high resources. Workers with high engagement–high burnout profiles often reported high demands–high resources profiles. In contrast, workers with high engagement–low burnout profiles often reported profiles of high resources, moderate information processing demands, and low other demands.Originality/value: This study examined the intersection of intra-individual engagement–burnout profiles and demands–resources profiles. Previous studies examined only one of these sides or relied on inter-individual analyses. Interestingly, many employees appear to be optimally engaged while they are burned-out and considering to leave their jobs. Demands and resources facets were distinguished in the LPA, revealing that some demands were associated with resources and engagement.

scholarly journals Highly engaged but burned out: intra-individual profiles in the US workforce

2018 ◽  
Vol 23 (1) ◽  
pp. 86-105 ◽  
Author(s):  
Julia Moeller ◽  
Zorana Ivcevic ◽  
Arielle E. White ◽  
Jochen I. Menges ◽  
Marc A. Brackett
Keyword(s):  
Information Processing ◽  
Design Methodology ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Content Type ◽  
Configural Frequency Analysis ◽  
The Us ◽  
Processing Demands ◽  
Individual Profiles ◽  
High Engagement

Purpose The purpose of this paper is to use the job demands-resources model to investigate intra-individual engagement-burnout profiles, and demands-resources profiles. Design/methodology/approach A representative sample of the US workforce was surveyed online. Latent profile analysis (LPA) and configural frequency analysis examined intra-individual profiles and their inter-relations. Findings A negative inter-individual correlation between engagement and burnout suggested that burnout tends to be lower when engagement is high, but intra-individual analyses identified both aligned engagement-burnout profiles (high, moderate, and low on both variables), and discrepant profiles (high engagement – low burnout; high burnout – low engagement). High engagement and burnout co-occurred in 18.8 percent of workers. These workers reported strong mixed (positive and negative) emotions and intended to leave their organization. Another LPA identified three demands-resources profiles: low demands – low resources, but moderate self-efficacy, low workload and bureaucracy demands but moderate information processing demands – high resources, and high demands – high resources. Workers with high engagement – high burnout profiles often reported high demands – high resources profiles. In contrast, workers with high engagement – low burnout profiles often reported profiles of high resources, moderate information processing demands, and low other demands. Originality/value This study examined the intersection of intra-individual engagement-burnout profiles and demands-resources profiles. Previous studies examined only one of these sides or relied on inter-individual analyses. Interestingly, many employees appear to be optimally engaged while they are burned-out and considering to leave their jobs. Demands and resources facets were distinguished in the LPA, revealing that some demands were associated with resources and engagement.

scholarly journals THE PERSON-ORIENTED APPROACH IN THE FIELD OF EDUCATIONAL PSYCHOLOGY

2013 ◽  
Vol 5 (1) ◽  
pp. 79-88
Author(s):  
Diana Raufelder ◽  
Danilo Jagenow ◽  
Frances Hoferichter ◽  
Kate Mills Drury
Keyword(s):  
Individual Differences ◽  
Latent Class Analysis ◽  
Frequency Analysis ◽  
Educational Psychology ◽  
Latent Profile Analysis ◽  
Latent Class ◽  
Profile Analysis ◽  
Class Analysis ◽  
Configural Frequency Analysis ◽  
Oriented Approach

Individual differences are a fundamental component of psychology, but these differences are often treated as “noise” or “errors” in variable-oriented statistical analyses. Currently, there is a small but emerging body of research using the person-oriented approach. In this paper a brief theoretical and methodological overview of the person-oriented approach is given. A person-oriented approach is often preferable where the main theoretical and analytical unit is a pattern of operating factors, rather than individual variables. In order to illustrate the relevance of this approach to research in educational psychology several representative statistical methods are outlined, two of which employ a person-oriented approach (latent class analysis/ latent profile analysis, configural frequency analysis/ prediction configural frequency analysis) and one that combines person and variable-oriented approaches. Examples of data analyses are used to demonstrate that variable and person-oriented approaches provide the researcher with different information that can be complementary. Key words: configural frequency analysis, educational psychology, individual differences, latent class analysis, person-oriented approach.

scholarly journals All better than being disengaged: Student engagement patterns and their relations to academic self-concept and achievement

2020 ◽  
Author(s):  
Katharina Schnitzler ◽  
Doris Holzberger ◽  
Tina Seidel
Keyword(s):  
High School Students ◽  
Student Engagement ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Self Concept ◽  
Emotional Engagement ◽  
School Students ◽  
Post Test ◽  
High Engagement ◽  
Better Than

Abstract Student participation and cognitive and emotional engagement in learning activities play a key role in student academic achievement and are driven by student motivational characteristics such as academic self-concept. These relations have been well established with variable-centered analyses, but in this study, a person-centered analysis was applied to describe how the different aspects of student engagement are combined within individual students. Specifically, we investigated how the number of hand-raisings interacts with student cognitive and emotional engagement in various engagement patterns. Additionally, it was analyzed how these engagement patterns relate to academic self-concept as an antecedent and achievement as an outcome. In an empirical study, high school students (N = 397) from 20 eighth-grade classrooms were surveyed and videotaped during one mathematics school lesson. The design included a pre- and post-test, with the videotaping occurring in between. Five within-student engagement patterns were identified by latent profile analysis: disengaged, compliant, silent, engaged, and busy. Students with higher academic self-concept were more likely to show a pattern of moderate to high engagement. Compared with students with low engagement, students with higher engagement patterns gained systematically in end-of-year achievement. These findings illustrate the power of person-centered analyses to illuminate the complexity of student engagement. They imply the need for differentiation beyond disengaged and engaged students and bring along the recognition that being engaged can take on various forms, from compliant to busy.

scholarly journals School Engagement, Academic Achievement, and Self-Regulated Learning

2021 ◽  
Vol 13 (6) ◽  
pp. 3011
Author(s):  
Iris Estévez ◽  
Carolina Rodríguez-Llorente ◽  
Isabel Piñeiro ◽  
Rocío González-Suárez ◽  
Antonio Valle
Keyword(s):  
School Engagement ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Self Regulation ◽  
Three Dimensions ◽  
Emotional Engagement ◽  
School Students ◽  
Self Regulated Learning ◽  
Regulatory Behavior ◽  
High Engagement

School engagement occupies a place of reference in recent educational psychology research owing to its potential to address poor school results and school dropout rates. However, there is a need for a unifying theoretical framework. The study proposed the characterization of school engagement and explored the extent to which different profiles are associated with academic performance and self-regulation. With a sample of 717 5th and 6th year primary school students, this study was carried out via the latent profile analysis (LPA). Two groups of low school engaged students—one characterized by low behavioral engagement (5.02%) and the other by low emotional engagement (6.55%)—were distinguished. The majority of participants showed moderately high (31.95%) or moderate (56.48%) levels of school engagement in its three dimensions. Students with high engagement had the best grades and managed their time and study surroundings better, were the most strategic in seeking information, and showed less maladaptive regulatory behavior. The differences between students exhibiting low behavioral and emotional engagement and those exhibiting moderate levels in these dimensions may center upon the management of contextual resources and management of information and help. This research supports the need to approach the study of school engagement by observing the combination of its emotional, behavioral, and cognitive dimensions.

Higher Education Centers and College Towns: A Typology of the US Metropolitan Geography of Higher Education

2020 ◽  
pp. 107808742097475
Author(s):  
Meagan M. Ehlenz ◽  
Sarah Mawhorter
Keyword(s):  
Higher Education ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
College Towns ◽  
Level Data ◽  
The Us ◽  
Emergent Literature ◽  
Micro Level ◽  
Higher Education Centers ◽  
Us Cities

Colleges and universities are vital institutions at the heart of many US cities. Yet existing research offers only partial insights into the US metropolitan geography of HEIs. We use institutional and metro-level data to offer a novel perspective on the geography of single- and multi-HEI metropolitan compositions. Using Latent Profile Analysis, we develop a typology of Higher Education Metros (HEMs), identifying two main classes: Higher Education Centers and College Towns, with finer delineations based on the type and intensity of HEIs. We then assess macro- and micro-level patterns in the HEM types across US metro areas, and examine meso-level representative cases. Our study provides a framework for understanding the metropolitan geography of HEI configurations, serving as a complement to emergent literature examining the relational geography of HEIs. It enables a wider, systematic perspective that generates new insights about the spatial nature of higher education in the US.

scholarly journals Affective blocs: Understanding affective polarization in multiparty systems

2021 ◽  
Author(s):  
Arto Kekkonen ◽  
Tuomas Ylä-Anttila
Keyword(s):  
Latent Profile Analysis ◽  
Complex Dynamics ◽  
Profile Analysis ◽  
Political Systems ◽  
Low Level ◽  
The Us ◽  
Ideological Polarization ◽  
Multiparty Systems ◽  
Latent Profile

Research has suggested that affective polarization (AP)—the extent to which partisans view each other as a disliked out-group—has increased, especially in two-party political systems such as in the US. The understanding of AP in multiparty systems remains limited. We study AP in Finland, characterized by a strong multiparty system and a low level of ideological polarization, between 2007 and 2019. We find that AP has increased, driven mainly by voters evaluating their least favorite party more negatively. We also propose an approach that goes beyond earlier literature, which has mostly used a single aggregate metric to measure AP. Using latent profile analysis, we find that voters are grouped into blocs that view some parties positively and others negatively. This suggests that the complex dynamics of AP in multiparty democracies involve relationships between not just individual parties but between what we call affective blocs that span across party lines.

scholarly journals Individual Profiles of Psychological Capital in a Spanish Sample

2019 ◽  
Vol 14 ◽  
pp. 3029-3047 ◽  
Author(s):  
Nia Plamenova Djourova ◽  
Isabel Rodríguez ◽  
Laura Lorente-Prieto
Keyword(s):  
Self Efficacy ◽  
Latent Profile Analysis ◽  
Psychological Capital ◽  
Profile Analysis ◽  
And Performance ◽  
The One ◽  
Individual Profiles ◽  
The Relationship ◽  
Best Fit ◽  
High Hope

Psychological Capital (PsyCap) consists of hope, self-efficacy, resilience and optimism. It is usually assumed that individuals score similarly across these four components, however, there have been suggestions in the literature that in some cases, people can score high on some dimensions and low on others, and that it is necessary to explore the matter further (Dawkins, 2014). Hence, the main objective of this article is to explore if the relationship between the dimensions of PsyCap results in individual profiles; to see which sociodemographic characteristics they have, and how the profiles relate to job satisfaction and performance. The sample consists of 1752 employees from different companies in Spain. We used Latent Profile Analysis and the results revealed that a four-profile model is the best fit for our data, where Profile 1 was characterized by low self-efficacy and hope, and high resilience and optimism; Profile 2 by high self-efficacy and hope, and low resilience and optimism; Profile 3 by low self-efficacy and high hope, resilience and optimism; and Profile 4 by high scores on all PsyCap constructs. The majority of the sample was classified in Profile 4, showing support for the unitary structure of PsyCap. However, for some individuals scores differed across the four PsyCap dimensions. Furthermore, there were high-low and low-high configurations for hope and self-efficacy on the one hand, and resilience and optimism on the other. Lastly, our results emphasize the combination of hope and self-efficacy as important contributors to employee outcomes.

Identifying Suicide Typologies Among Trauma-Exposed Veterans

Crisis ◽  
2020 ◽  
Vol 41 (4) ◽  
pp. 288-295 ◽  
Author(s):  
Nadia Bounoua ◽  
Jasmeet P. Hayes ◽  
Naomi Sadeh
Keyword(s):  
Latent Profile Analysis ◽  
Suicide Attempts ◽  
Clinical Symptoms ◽  
Profile Analysis ◽  
Risky Behaviors ◽  
Self Report ◽  
Cross Sectional ◽  
Research Priority ◽  
Self Harm ◽  
And Behaviors

Abstract. Background: Suicide among veterans has increased in recent years, making the identification of those at greatest risk for self-injurious behavior a high research priority. Aims: We investigated whether affective impulsivity and risky behaviors distinguished typologies of self-injurious thoughts and behaviors in a sample of trauma-exposed veterans. Method: A total of 95 trauma-exposed veterans (ages 21–55; 87% men) completed self-report measures of self-injurious thoughts and behaviors, impulsivity, and clinical symptoms. Results: A latent profile analysis produced three classes that differed in suicidal ideation, suicide attempts and nonsuicidal self-injury (NSSI): A low class that reported little to no self-injurious thoughts or behaviors; a self-injurious thoughts (ST) class that endorsed high levels of ideation but no self-harm behaviors; and a self-injurious thoughts and behaviors (STaB) class that reported ideation, suicide attempts and NSSI. Membership in the STaB class was associated with greater affective impulsivity, disinhibition, and distress/arousal than the other two classes. Limitations: Limitations include an overrepresentation of males in our sample, the cross-sectional nature of the data, and reliance on self-report measures. Conclusion: Findings point to affective impulsivity and risky behaviors as important characteristics of veterans who engage in self-injurious behaviors.

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