Dyadic profiles of personality among older couples: Associations with marital quality

2020 ◽  
Vol 37 (6) ◽  
pp. 2012-2031
Author(s):  
Shuangshuang Wang ◽  
Kyungmin Kim ◽  
Jeffrey E. Stokes
Keyword(s):  
Gender Differences ◽  
Marital Quality ◽  
Latent Profile Analysis ◽  
Multilevel Models ◽  
Profile Analysis ◽  
Big Five Personality ◽  
Personality Profiles ◽  
Older Couples ◽  
Personality Similarity ◽  
Marital Strain

Understanding dyadic personality configurations and their associations with marital quality helps identify couples who are at high risk of marital strain. However, current research on personality similarity among spouses usually confounds couples with similarly positive and similarly negative personalities. This study aimed to (1) provide a clearer classification of dyadic personality profiles among older couples, (2) examine the associations between these profiles and both partners’ marital quality, and (3) explore gender differences in these associations. Data came from 3,178 older couples drawn from the 2010/2012 waves of the Health and Retirement Study. Latent profile analysis was used to identify dyadic personality profiles based on spouses’ standardized Big Five personality scores. Multilevel models examined associations between dyadic personality profiles and each partner’s marital quality, testing for gender differences as well. Six dyadic personality profiles were identified, including two opposite profiles (52%; positive wife–negative husband and positive husband–negative wife), two similar profiles (40%; similarly positive and similarly negative), and two extreme profiles (8%; extremely negative husband and extremely negative wife). Couples in the similarly positive profile reported the best marital quality, whereas couples in the similarly negative profile and the two extreme profiles reported the worst marital quality. The associations between profiles characterized by negative traits and marital quality were more pronounced among wives than husbands. This study advances the understanding of personality similarity and its consequences, suggesting heterogeneous subgroups of dyadic personalities among older couples and providing evidence of gender differences in the implications of personality similarity for relationship quality.

scholarly journals Personality profiles and meteoropathy intensity: A comparative study between young and older adults

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241817
Author(s):  
Marcin Rzeszutek ◽  
Włodzimierz Oniszczenko ◽  
Iwona Zalewska ◽  
Małgorzata Pięta
Keyword(s):  
Older Adults ◽  
Personality Trait ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Age Groups ◽  
Big Five Personality ◽  
Personality Profiles ◽  
Weather Changes ◽  
Study Participants ◽  
Two Age Groups

Objectives This study’s main aims were to investigate the Big Five personality trait heterogeneity of study participants in two age groups and to examine whether these traits’ heterogeneity can explain possible individual differences in meteoropathy intensity. Method The sample was comprised of 758 participants divided into two age groups: 378 young adults (18–30 years old) and 380 older adults (60+ years old). The participants filled out online or paper versions of the METEO-Q questionnaire and the Ten Item Personality Inventory (TIPI). Results A latent profile analysis of the completed inventories showed various personality profiles differ in meteoropathy intensity. However, personality’s differentiating effect on meteoropathy was observed only among the young adult group. Conclusions Our study’s results indicate that there is no one personality trait pattern that fits all individuals regarding sensitivity to weather changes. This issue is especially visible when considering age differences.

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 Personalidad emprendedora, responsabilidad, autocontrol y grit: El lado psicológico del autoempleo

2021 ◽  
Vol 37 (2) ◽  
pp. 361-370
Author(s):  
Álvaro Postigo ◽  
Marcelino Cuesta ◽  
Eduardo García-Cueto
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Equation Model ◽  
Self Control ◽  
Entrepreneurial Activity ◽  
Personality Profiles ◽  
Psychological Variables ◽  
Personality Variables

El enfoque psicológico en torno a la actividad emprendedora contribuye a explicar por qué las personas deciden o no emprender. El objetivo del presente estudio es analizar diferentes perfiles de personalidad emprendedora, así como identificar las variables de personalidad que puedan explicar el convertirse en trabajador por cuenta propia. Empleando una muestra de 586 participantes (Medad= 39,31; DTedad= 14,66), se analizaron diferentes perfiles de personalidad emprendedora mediante técnicas de análisis de perfiles latentes. Además, se analizó si había diferencias en otras variables psicológicas en función del perfil de personalidad emprendedora. Finalmente, se estudió, mediante un modelo de ecuaciones estructurales, si la responsabilidad, el autocontrol, el grit y la personalidad emprendedora ayudan a explicar que las personas se conviertan en trabajadores por cuenta propia. Los resultados apoyan la existencia de tres perfiles latentes de personalidad emprendedora (baja, media y alta), siendo el perfil alta personalidad emprendedora el que muestra mayores puntuaciones en otras variables psicológicas, así como mayor proporción de trabajadores por cuenta propia. El modelo de ecuaciones estructurales planteado explica un 2,6% de la varianza de la variable ser trabajador autónomo, por lo que las variables de personalidad ayudan a explicar una pequeña parte de la actividad emprendedora. The psychological approach to entrepreneurial activity helps to explain why people decide or not to undertake. The objective of this study is to analyze different entrepreneurial personality profiles, as well as to identify the personality variables that can explain becoming a self-employer. Using a sample of 586 participants (Mage = 39.31; SDage = 14.66), different entrepreneurial personality profiles were analyzed using latent profile analysis techniques. In addition, it was analyzed whether there were differences in other psychological variables based on the entrepreneurial personality profile. Finally, it was studied, using a structural equation model, if conscientiousness, self-control, grit and entrepreneurial personality help to explain why people become self-employed. The results support the existence of three latent profiles of entrepreneurial personality (low, medium and high), being high entrepreneurial personality the one profile that shows higher scores in other psychological variables, as well as a higher proportion of self-employers. The proposed structural equation model explains 2.6% of the variance of the variable being self-employed, so the personality variables help to explain a small part of entrepreneurial activity.

Latent Profile Analysis of Personality Dimensions Among Juvenile Offenders: Relevance for Predicting Offending Seriousness

2020 ◽  
pp. 001112872092892
Author(s):  
Thomas Wojciechowski
Keyword(s):  
Juvenile Offenders ◽  
Latent Profile Analysis ◽  
Negative Binomial ◽  
Profile Analysis ◽  
Negative Binomial Regression ◽  
Personality Profiles ◽  
Personality Dimensions ◽  
Binomial Regression ◽  
Pathways To Desistance ◽  
Latent Profile

There is a burgeoning base of research identifying personality as a predictor of offending. However, research has focused on personality dimensions, rather than full personality profiles as predictors. The present study utilized the Pathways to Desistance data to examine the relationship between personality profiles and offending. This sample comprised 1,354 juvenile offenders followed during the study period of 2000 to 2010. Latent profile analysis was used to identify patterns across dimensions to elucidate personality profiles. Negative binomial regression was used to examine profiles as predictors of offending. Results indicated that a two-profile model fit the data. Participants assigned to the Undercontrolled profile (high in neuroticism and low in all other dimensions) engaged in more serious offending than the Resilient profile.

Gender Differences in Suicide Rates of Municipalities in South Korea

Crisis ◽  
2021 ◽  
Author(s):  
Kyu-Hyoung Jeong ◽  
Seungjong Cho
Keyword(s):  
Gender Differences ◽  
Life Cycle ◽  
South Korea ◽  
Suicide Rate ◽  
Urban Areas ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Group Method ◽  
Suicide Rates ◽  
Latent Profile

Abstract. Background: South Korea showed the highest suicide rate among the countries in the Organization for Economic Cooperation and Development. Aims: This study aimed to discern the profiles of municipalities according to their suicide rates across the life cycle and gender, and then to identify the unique characteristics of each latent group. Method: This study applied a latent profile modeling to categorize the regions by life cycle suicide rates of their residents. The latent profile analysis (LPA) yielded four latent groups for males and three groups for females. This study explored the unique characteristics of 250 municipalities by latent groups with these groups. Results: The results suggested significant gender differences in the characteristics of localities. For the high adolescent suicide rates groups, there was a higher proportion of urban areas among males while there was a higher proportion of rural regions among females. Limitations: This study analyzed secondary data of municipalities, so the characteristics of each profile of suicide rate could only be identified within this existing data. Conclusions: This paper is one of the first studies to apply the LPA to different latent profiles by life cycle suicide rates.

scholarly journals The first wave of the COVID-19 pandemic: Hexaco profiles affect coping mechanisms and adaptability of response

Psihologija ◽  
2021 ◽  
pp. 1-1
Author(s):  
Vesna Gojkovic ◽  
Sanja Batic-Ocovaj ◽  
Jelena Dostanic ◽  
Marija Djuric
Keyword(s):  
Coping Strategies ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Primary Objective ◽  
Personality Profiles ◽  
Specific Choice ◽  
Problem Solving Strategies ◽  
Adaptive Resilience ◽  
Person Centered Approach ◽  
High Emotionality

Our primary objective was to investigate whether HEXACO personality profiles predict different coping strategies during the first wave of the COVID-19 pandemic. We chose a person-centered approach as it enabled visibility of personal structures differentiating between adaptive and maladaptive coping in a nonclinical sample. Latent profile analysis identified three distinct personality profiles, each profile complemented by its specific choice of coping strategies. The Resilient (conscientious extroverts) used strategies focused on the stressor (Problem-focused, Emotion-focused coping, and Humor); the Undercontrolled (conscienceless) turned to Avoidance of problem-solving strategies; the Overcontrolled (emotionally reactive and conscientious introverts) avoided Humor and handling of their own emotions. Combination of Conscientiousness scores differentiated between adaptive and maladaptive resilience. However, high Emotionality in conjunction with Introversion and high Conscientiousness produced both vulnerability and maladaptation. Absence of Avoidance is the paramount feature of adaptive resilience. Thus, personality related variance in stress response is mostly determined by traits responsible for control, proactivity, and affectivity.

scholarly journals Personality Types Revisited – a Literature-Informed and Data-Driven Approach to an Integration of Prototypical and Dimensional Constructs of Personality Description

2020 ◽  
Author(s):  
André Kerber ◽  
Marcus Roth ◽  
Philipp Herzberg
Keyword(s):  
Latent Profile Analysis ◽  
Developmental Psychology ◽  
Profile Analysis ◽  
Clustering Algorithms ◽  
Personality Types ◽  
Cluster Solution ◽  
Personality Profiles ◽  
Data Driven Approach ◽  
Best Fitting ◽  
Personality Description

A new algorithmic approach to personality prototyping based on Big Five traits was applied to a large representative and longitudinal German dataset (N = 22,820) including behavior, personality and health correlates. We applied three different clustering techniques, latent profile analysis, the k-means method and spectral clustering algorithms. The resulting cluster centers, i.e. the personality prototypes, were evaluated using a large number of internal and external validity criteria including health, locus of control, self-esteem, impulsivity, risk-taking and wellbeing. The best-fitting prototypical personality profiles were labeled according to their Euclidean distances to averaged personality type profiles identified in a review of previous studies on personality types. This procedure yielded a five-cluster solution: resilient, overcontroller, undercontroller, reserved and vulnerable-resilient. Reliability and construct validity could be confirmed. We discuss wether personality types could comprise a bridge between personality and clinical psychology as well as between developmental psychology and resilience research.

scholarly journals Defining Subtypes in Children with Nail Biting: A Latent Profile Analysis of Personality

2020 ◽  
Vol 17 (6) ◽  
pp. 517-525 ◽  
Author(s):  
Yunhye Oh ◽  
Jungwon Choi ◽  
Yul-Mai Song ◽  
Kyungun Jhung ◽  
Young-Ryeol Lee ◽  
...  
Keyword(s):  
Behavioral Problems ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Developmental Trajectory ◽  
Personality Profile ◽  
Personality Profiles ◽  
Problematic Behavior ◽  
Significant Group ◽  
Nail Biting ◽  
Latent Profile

Objective This study aimed to examine personality profiles and behavioral problems of children with nail biting (NB) to gain insight into the developmental trajectory of pathological NB.Methods 681 elementary school students were divided into non NB (n=436), occasional NB (n=173) and frequent NB group (n=72) depending on the frequency of NB reported in Child Behavioral Checklist (CBCL). Children’s personality was assessed using the Junior Temperament and Character Inventory (JTCI), and behavioral problems were assessed using the CBCL. Latent Profile Analysis (LPA) was performed using JTCI profiles to classify personalities of the children with NB (belonging to frequent and occasional NB group, n=245).Results For subscale scores of CBCL, the total, internalizing, externalizing, anxious/depressed withdrawn/depressed, depression, thought, rule-breaking, and aggressive behavior problems, were most severe in the frequent NB group followed by occasional NB and non NB group. LPA of personality profile in children with NB revealed four classes (‘adaptiveness,’ ‘high reward dependence,’ ‘low self-directedness,’ and ‘maldaptiveness’). The four personality classes demonstrated significant group differences in all of the CBCL subscales. Children who showed low self-directedness and cooperativeness and high novelty seeking and harm avoidance personality profiles demonstrated highest tendency for problematic behavior irrespective of the frequency of NB.Conclusion Children with NB reported significantly more problematic behaviors compared to children without NB. Children with specific personality profile demonstrated higher tendency for problematic behavior irrespective of the frequency of NB. Therefore, accompanying personality profiles should be considered when assessing behavioral problems in children with NB.

scholarly journals The Big Five Model in Bipolar Disorder: A Latent Profile Analysis and its Impact on Longterm Illness Severity

2021 ◽  
Author(s):  
Niklas Ortelbach ◽  
Jonas Rote ◽  
Alice Mai Ly Dingelstadt ◽  
Anna Stolzenburg ◽  
Cornelia Koenig ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Regression Analysis ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Illness Severity ◽  
Personality Profiles ◽  
Latent Profile Analyses ◽  
Big Five Model ◽  
Morbidity Index ◽  
Latent Profile

Abstract Background Using a personality typing approach, we investigated the relationship between personality profiles and the prediction of longterm illness severity in patients with bipolar disorder (BD). While previous research suggests associations between BD and traits from the NEO-FFI profiles, the current study firstly aimed to identify latent classes of NEO-FFI profiles, and, secondly, to examine their impact on the longterm prognosis of BD. Methods Based on the NEO-FFI profiles of 134 euthymic patients diagnosed with BD (64.2% female, mean age = 44.3 years), successive latent profile analyses were conducted. Subsequently, a subsample (n = 80) was examined prospectively by performing multiple regression analysis to evaluate the longitudinal course of the disease (mean: 54.7 weeks) measured using a modified Morbidity Index. Results The latent profile analyses suggested a 3-class model typifying in a resilient (n = 68, 51%), vulnerable (n = 55, 41%) and highly vulnerable (n = 11, 8%) class. In the regression analysis, higher vulnerability predicted a higher longterm Morbidity Index ( R 2 = .28). Conclusions Subgroups of patients with BD share a number of discrete personality features and their illness is characterized by a similar clinical course. This knowledge is valuable in a variety of clinical contexts including early detection, intervention planning and treatment process.

Sign in / Sign up

Export Citation Format

Share Document