Heterogeneity in Male Adolescents With Illegal Sexual Behavior: A Latent Profile Approach to Classification

Sexual Abuse ◽  
2018 ◽  
Vol 31 (7) ◽  
pp. 789-811 ◽  
Author(s):  
Jan L. Everhart Newman ◽  
Jessica L. Larsen ◽  
Kelli Thompson ◽  
Melissa Cyperski ◽  
Barry R. Burkhart
Keyword(s):  
Sexual Behavior ◽  
Child Maltreatment ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Research ◽  
Minority Status ◽  
Male Adolescents ◽  
Violent Recidivism ◽  
Assessment And Treatment ◽  
Latent Profile

Current research has established that male adolescents with illegal sexual behavior (AISB) are a heterogeneous population. We aimed to explore this within-group heterogeneity to derive clinically relevant groups of AISB using the Millon Adolescent Clinical Inventory (MACI). We then compared these groups on selected covariates (age at intake, minority status, and child maltreatment history) and distal outcomes (general, nonviolent, violent, drug, and sexual recidivism 5 years after release) to identify any differences. The sample consisted of 698 male AISB (age = 11-20 years) referred to a secure juvenile facility for assessment and treatment. A latent profile analysis (LPA) was conducted using the clinical and personality scales of the MACI to identify AISB groups and examine group differences. Four unique AISB groups emerged: Anxious, Depressed/Anxious, Dysthymic/Disorganized, and Antisocial. Groups differed on age at intake and child maltreatment history, but not minority status. At 5-year follow up, groups differed in their rates of general, nonsexual, and violent recidivism but not in their rates of sexual or drug recidivism. Clinically relevant AISB groups can be identified using personality and psychopathology indicators from the MACI. Implications for the assessment and treatment of AISB, as well as directions for future research are discussed.

Exploring Science Career Interest: Latent Profile Analysis of High School Occupational Preferences for Science

2018 ◽  
Vol 46 (5) ◽  
pp. 583-598 ◽  
Author(s):  
Sarah L. Ferguson ◽  
Darrell M. Hull
Keyword(s):  
High School ◽  
Gender Differences ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Research ◽  
Academic Experience ◽  
Science Interest ◽  
Future Research Directions ◽  
The Impact ◽  
Latent Profile

The present study evaluates high school juniors and seniors ( n = 295) to explore their preference for science as indicated by science motivation, attitude, academic experience, and interest. Latent profile analysis was used to model profiles of preferences for science with a person-centered approach. Then, the impact of self-concept variables was explored and four profiles of science interest were identified. Gender differences were of particular interest due to concerns noted in the literature, and some gender differences were identified in the present study. Covariate analysis indicated vocabulary ability and personality as significantly different for students in the high science interest profile. Implications of these results and future research directions are discussed.

scholarly journals Latent Profile Analysis of the Five Facet Mindfulness Questionnaire in a Sample With a History of Recurrent Depression

Assessment ◽  
2017 ◽  
Vol 27 (1) ◽  
pp. 149-163 ◽  
Author(s):  
Jenny Gu ◽  
Anke Karl ◽  
Ruth Baer ◽  
Clara Strauss ◽  
Thorsten Barnhofer ◽  
...  
Keyword(s):  
Psychological Functioning ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Optimal Number ◽  
Future Research ◽  
Five Facet Mindfulness Questionnaire ◽  
Recurrent Depression ◽  
Mindfulness Skills ◽  
History Of ◽  
Latent Profile

Extending previous research, we applied latent profile analysis in a sample of adults with a history of recurrent depression to identify subgroups with distinct response profiles on the Five Facet Mindfulness Questionnaire and understand how these relate to psychological functioning. The sample was randomly divided into two subsamples to first examine the optimal number of latent profiles (test sample; n = 343) and then validate the identified solution (validation sample; n = 340). In both test and validation samples, a four-profile solution was revealed where two profiles mapped broadly onto those previously identified in nonclinical samples: “high mindfulness” and “nonjudgmentally aware.” Two additional subgroups, “moderate mindfulness” and “very low mindfulness,” were observed. “High mindfulness” was associated with the most adaptive psychological functioning and “very low mindfulness” with the least adaptive. In most people with recurrent depression, mindfulness skills are expressed evenly across different domains. However, in a small minority a meaningful and replicable uneven profile indicating nonjudgmental awareness is observable. Current findings require replication and future research should examine the extent to which profiles change from periods of wellness to illness in people with recurrent depression and how profiles are influenced by exposure to mindfulness-based intervention.

A Latent Profile Analysis of Living a Calling, Burnout, Exploitation, and Work–Life Imbalance

2021 ◽  
pp. 089484532199416
Author(s):  
Joo Yeon Shin ◽  
Eunseok Kim ◽  
Jina Ahn
Keyword(s):  
Job Satisfaction ◽  
Organizational Support ◽  
Latent Profile Analysis ◽  
Psychological Capital ◽  
Profile Analysis ◽  
Physical Symptoms ◽  
Work Life ◽  
Future Research ◽  
Work Related ◽  
Latent Profile

Research has predominantly focused on the positive aspects of living a calling (LC), hence more attention needs to be given to its potentially negative aspects. The current study examined profiles of 237 South Korean working adults, defined by individuals’ scores on LC, burnout, exploitation, and work–life imbalance from a person-centered perspective. Then, we examined the role of psychological capital, organizational support, and adequate compensation in predicting profile membership. Lastly, we examined mean differences across class membership in the levels of job satisfaction and work-related psychological and physical symptoms. Latent profile analysis identified three distinct profiles of individuals: the adaptive, average, and maladaptive. Psychological capital, organizational support, and adequate compensation predicted a higher likelihood of membership into the adaptive group, compared to the average group. The adaptive group showed the highest job satisfaction and the lowest work-related psychological symptoms. Implications for calling-related interventions and directions for future research are discussed.

scholarly journals Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents

2020 ◽  
Vol 9 (3) ◽  
pp. 698-708
Author(s):  
Ji-Bin Li ◽  
Anise M.S. Wu ◽  
Li-Fen Feng ◽  
Yang Deng ◽  
Jing-Hua Li ◽  
...  
Keyword(s):  
Social Networking ◽  
Large Scale ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Chinese Adolescents ◽  
Screening Tools ◽  
Future Research ◽  
Online Social Networking ◽  
Average Risk ◽  
Latent Profile

AbstractBackground and aimsProblematic online social networking use is prevalent among adolescents, but consensus about the instruments and their optimal cut-off points is lacking. This study derived an optimal cut-off point for the validated Online Social Networking Addiction (OSNA) scale to identify probable OSNA cases among Chinese adolescents.MethodsA survey recruited 4,951 adolescent online social networking users. Latent profile analysis (LPA) and receiver operating characteristic curve (ROC) analyses were applied to the validated 8-item OSNA scale to determine its optimal cut-off point.ResultsThe 3-class model was selected by multiple criteria, and validated in a randomly split-half subsample. Accordingly, participants were categorized into the low risk (36.4%), average risk (50.4%), and high risk (13.2%) groups. The highest risk group was regarded as “cases” and the rest as “non-cases”, serving as the reference standard in ROC analysis, which identified an optimal cut-off point of 23 (sensitivity: 97.2%, specificity: 95.2%). The cut-off point was used to classify participants into positive (probable case: 17:0%) and negative groups according to their OSNA scores. The positive group (probable cases) reported significantly longer duration and higher intensity of online social networking use, and higher prevalence of Internet addiction than the negative group.ConclusionsThe classification strategy and results are potentially useful for future research that measure problematic online social networking use and its impact on health among adolescents. The approach can facilitate research that requires cut-off points of screening tools but gold standards are unavailable.

Assessing Intervention Needs of Juvenile Probationers: An Application of Latent Profile Analysis to a Risk–Need–Responsivity Assessment Model

2018 ◽  
Vol 46 (1) ◽  
pp. 82-100 ◽  
Author(s):  
Christina A. Campbell ◽  
William Miller ◽  
Jordan Papp ◽  
Ashlee R. Barnes ◽  
Eyitayo Onifade ◽  
...  
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Demographic Variables ◽  
Assessment Model ◽  
Minority Status ◽  
Youth Offenders ◽  
Juvenile Probationers ◽  
Risk Need Responsivity ◽  
History Of ◽  
Latent Profile

The assessment of criminogenic risk is critical in the prediction of future delinquency and the ability to provide appropriate services and interventions for youth offenders. The goal of this study was to determine whether using latent profile analysis (LPA) produced better risk classification profiles than traditional linear methods. Archival data were used to examine 1,263 male and female youth probationers. Criminogenic profiles were developed using the Youth Level of Service/Case Management Inventory, a widely used juvenile risk assessment. LPA determined that there were three distinct profiles: Minimal Intervention Needs, Social Behavior and Social Bonding Needs, and Maximum Intervention Needs. The profiles that youth fit into differed across demographic variables such as gender, age, recidivism, and history of child maltreatment, but not minority status and offense type. This research may aid in addressing specific intervention needs of offenders.

scholarly journals General and Eating Disorder Psychopathology in Relation to Short- and Long-Term Weight Change in Treatment-Seeking Children: A Latent Profile Analysis

2020 ◽  
Author(s):  
Anne Claire Grammer ◽  
John R Best ◽  
Lauren A Fowler ◽  
Katherine N Balantekin ◽  
Richard I Stein ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Weight Change ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Weight Maintenance ◽  
Future Research ◽  
Eating Disorder Psychopathology ◽  
The Impact ◽  
Latent Profile

Abstract Background Concurrent general psychopathology (GP) and eating disorder psychopathology (EDP) are commonly reported among youth with overweight/obesity and may impact weight change. Purpose We identified patterns of GP and EDP in children with overweight/obesity and examined the impact on weight change following family-based behavioral obesity treatment (FBT) and maintenance interventions. Methods Children (N = 172) participated in 4 month FBT and subsequent 8 month weight maintenance interventions. GP and EDP were assessed prior to FBT (baseline). Child percentage overweight was assessed at baseline, post-FBT (4 months), and post-maintenance (12 months). Latent profile analysis identified patterns of baseline GP and EDP. Linear mixed-effects models examined if profiles predicted 4- and 12-month change in percentage overweight and if there were two-way and three-way interactions among these variables, adjusting for relevant covariates. Results Results indicated a three-profile structure: lower GP and EDP (LOWER); subclinically elevated GP and EDP without loss of control (LOC; HIGHER); and subclinically elevated GP and EDP with LOC (HIGHER + LOC). Across profiles, children on average achieved clinically meaningful weight loss (i.e., ≥9 unit change in percentage overweight) from baseline to 4 month FBT and sustained these improvements at 12 month maintenance. There was no evidence that latent profiles were related to percentage overweight change from baseline to FBT (p > .05) or baseline to maintenance (p > .05). There was no evidence for two-way or three-way interactions (p > .05). Conclusion Concurrent GP and EDP do not portend differential short- or long-term weight change following FBT and maintenance. Future research is warranted on the durability of weight change among youth with GP and EDP. Trial registration NCT00759746.

scholarly journals Latent profile analysis ofemotional labor strategies in subordinate roles

2017 ◽  
Vol 30 (3) ◽  
pp. 465-489
Author(s):  
Soran Yeum ◽  
MyoungSo Kim
Keyword(s):  
Emotional Labor ◽  
Emotional Regulation ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Research ◽  
Job Effectiveness ◽  
On Line ◽  
Regulation Strategies ◽  
Turn Over ◽  
Latent Profile

The purpose of this study was to (1) confirm how employees utilize each regulation strategy of emotional labor(surface and deep acting) based on person-centered approach and (2) to examine determinants for each profile and the relationship between each profile and job effectiveness. A total of 507 employees working in a variety of different fields in Korea participated in an on-line survey. To identify sub-populations of emotional labor strategies in subordinate roles, latent profile analysis was adopted. The results indicated that five groups(surface actors, deep actors, non actors, low actors, regulators) were classified. In addition, each group was significantly distinguished by the antecedents of social stressor and leader trust, also related to various outcome variables(i.e., burn-out, job engagement, turn-over intention, felt-inauthenticity). These results showed how variables operate within people and shed light on variable-centered approach ignoring the possibility of distinct combinations of emotional regulation strategies. On the basis of the results, the implications and future research directions were discussed.

Recruitment practices under scrutiny: A latent-profile analysis of family firms’ approaches to recruit non-family employees

2019 ◽  
Vol 33 (3) ◽  
pp. 167-196 ◽  
Author(s):  
Rouven Kollitz ◽  
Sascha Ruhle ◽  
Stefan Süß
Keyword(s):  
Latent Profile Analysis ◽  
Family Firms ◽  
Profile Analysis ◽  
Future Research ◽  
Common Elements ◽  
Job Seekers ◽  
Recruitment Practices ◽  
The Family ◽  
Informal Approach ◽  
Latent Profile

Recruitment of qualified non-family employees is a challenge for many family firms. Job seekers from outside may be wary of the family firm employment practice and the family themselves may have an informal approach to finding employees which often relies on word of mouth and produces a limited pool of talent. In this study we investigate adopted recruitment practices and the factors behind recruiting non-family workforce as we seek common elements, explanations and outcomes. Applying latent-profile analysis to the recruiting practices of 259 family firms we explore sets of adopted recruitment practices, their respective predictors, including socioemotional wealth, and potential outcomes. These analyses reveal five latent classes: (1) reduced recruitment; (2) online high cost recruitment; (3) full scope recruitment; (4) offline informal recruitment; and (5) formal high cost recruitment. In sum, our findings suggest that substantial differences in family firms’ approaches to recruitment exist, providing further evidence for the heterogeneity of family firms. Finally, findings are discussed with regard to limitations and implications for future research.

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