Correlated personality change across time and age

2021 ◽  
pp. 089020702110140
Author(s):  
Gabriel Olaru ◽  
Mathias Allemand
Keyword(s):  
Structural Equation ◽  
Rank Order ◽  
Personality Development ◽  
The United States ◽  
Change Score ◽  
Personality Change ◽  
Equation Modeling ◽  
Model Parameters ◽  
Cross Sectional ◽  
Adult Lifespan

The goal of this study was to examine differential and correlated change in personality across the adult lifespan. Studying differential and correlated change can help understand whether intraindividual trait change trajectories deviate from the norm and how these trajectories are coupled with each other. We used data from two large longitudinal panel studies from the United States that covered a total age range of 20 to 95 years on the first measurement occasion. We used correlated factor models and bivariate latent change score models to examine the rank-order stability and correlations between change across three measurement waves covering 18 years ( N = 3250) and four measurement waves covering 12 years ( N = 4145). We examined the moderation effects of continuous age on these model parameters using local structural equation modeling. The results suggest that the test–retest correlations decrease with increasing time between measurements but are unaffected by participants’ age. We found that change processes in Extraversion, Openness, Agreeableness, and Conscientiousness were strongly related, particularly in late adulthood. Correlated change patterns were highly stable across time intervals and similar to the initial cross-sectional Big Five correlations. We discuss potential mechanisms and implications for personality development research.

scholarly journals Structural and Inter-individual Differentiation in Personality across the Adult Lifespan

2021 ◽  
Author(s):  
Gabriel Olaru ◽  
Kristin Jankowsky ◽  
Mathias Allemand
Keyword(s):  
Individual Differences ◽  
Big Five ◽  
Structural Equation ◽  
High Stability ◽  
Equation Modeling ◽  
Model Parameters ◽  
Cross Sectional ◽  
Psychological Constructs ◽  
Adult Lifespan ◽  
Individual Differentiation

The concept of differentiation describes increasing or decreasing similarities between inter-individual differences on psychological constructs, reflecting processes of specialization or adaptation. In this study, we studied age-differentiation in personality traits in 1) the association between trait domains, facets and nuances, 2) the correlations between trait domains, and 3) inter-individual differences at all trait levels. We used three large cross-sectional samples (Ns > 3,000) covering 16 to 90 years of age, and broad measures of the Big Five, Five-Factor and HEXACO models. We examined age effects on the model parameters using local structural equation modeling. We found a high stability of facet rank-ordering within trait domains, suggesting relatively stable trait domain compositions across age. Age-associated differences in the facet loadings were unsystematic and differed in direction across the three measures used. Extraversion-Openness correlations increased across age for all three measures, whereas an increase in Extraversion-Agreeableness and decrease in absolute Neuroticism-Extraversion correlations only replicated across the five-dimensional models. Inter-individual differences in personality varied most at the item or nuance level. In summary, personality differentiation is particularly evident at the lowest level and some trait domain correlations, but studies into this topic need to account for the heterogeneity of personality taxonomies and measures.

Self–other agreement in personality development in romantic couples

2020 ◽  
pp. 089020702096901
Author(s):  
Madeline R Lenhausen ◽  
Manon A van Scheppingen ◽  
Wiebke Bleidorn
Keyword(s):  
Big Five ◽  
Longitudinal Research ◽  
Rank Order ◽  
Personality Development ◽  
Large Body ◽  
Personality Change ◽  
Big Five Personality ◽  
Romantic Couples ◽  
Cross Sectional ◽  
Growth Curve Models

A large body of evidence indicates that personality traits show high rank-order stability and substantial mean-level changes across the lifespan. However, the majority of longitudinal research on personality development has relied on repeated assessments of self-reports, providing a narrow empirical base from which to draw conclusions and develop theory. Here, we (1) tested whether self- and informant-reports provided by couples show similar patterns of rank-order stability and mean-level change and (2) assessed self–other agreement in personality development. We charted the Big Five personality trajectories of 255 couples ( N = 510; M age = 27.01 years) who provided both self- and partner-reports at four assessments across 1.5 years. Results indicated similar rank-order stabilities in self- and partner-report data. Latent growth curve models indicated no significant differences between self- and partner-reported personality trajectories, with exceptions to extraversion and agreeableness. We further found strong cross-sectional agreement across all Big Five traits and assessment waves as well as moderate self–other agreement in personality change in emotional stability and agreeableness. These findings highlight the relevance of multi-method assessments in personality development, while providing information about personality stability and change. Discussion focuses on the theoretical implications and future directions for multi-method assessments in longitudinal personality research.

Self-Other Agreement in Personality Development in Romantic Couples

2020 ◽  
Author(s):  
Madeline Rowena Lenhausen ◽  
Manon A. van Scheppingen ◽  
Wiebke Bleidorn
Keyword(s):  
Big Five ◽  
Longitudinal Research ◽  
Rank Order ◽  
Personality Development ◽  
Large Body ◽  
Personality Change ◽  
Big Five Personality ◽  
Romantic Couples ◽  
Cross Sectional ◽  
Growth Curve Models

A large body of evidence indicates that personality traits show high rank-order stability and substantial mean-level changes across the lifespan. However, the majority of longitudinal research on personality development has relied on repeated assessments of self-reports, providing a narrow empirical base from which to draw conclusions and develop theory. Here, we (1) tested whether self- and informant-reports provided by couples show similar patterns of rank-order stability and mean-level change and (2) assessed self-other agreement in personality development. We charted the Big Five personality trajectories of 255 couples (N = 510; M age = 27.01 years) who provided both self- and partner-reports at 4 assessments across 1.5 years. Results indicated similar rank-order stabilities in self- and partner-report data. Latent growth curve models indicated no significant differences between self- and partner-reported personality trajectories, with exceptions to extraversion and agreeableness. We further found strong cross-sectional agreement across all Big Five traits and assessment waves as well as moderate self-other agreement in personality change in emotional stability and agreeableness. These findings highlight the relevance of multi-method assessments in personality development, while providing information about personality stability and change. Discussion focuses on the theoretical implications and future directions for multi-method assessments in longitudinal personality research.

scholarly journals Increases in Stressors Prior to-Versus During the COVID-19 Pandemic in the United States Are Associated With Depression Among Middle-Aged Mothers

2021 ◽  
Vol 12 ◽  
Author(s):  
Brittany K. Taylor ◽  
Michaela R. Frenzel ◽  
Hallie J. Johnson ◽  
Madelyn P. Willett ◽  
Stuart F. White ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Life Stress ◽  
Structural Equation ◽  
Rating Scale ◽  
Psychological Symptoms ◽  
The United States ◽  
Change Score ◽  
Stressful Events ◽  
Equation Modeling ◽  
Anxiety And Depression

Working parents in are struggling to balance the demands of their occupation with those of childcare and homeschooling during the COVID-19 pandemic. Moreover, studies show that women are shouldering more of the burden and reporting greater levels of psychological distress, anxiety, and depression relative to men. However, research has yet to show that increases in psychological symptoms are linked to changes in stress during the pandemic. Herein, we conduct a small-N study to explore the associations between stress and psychological symptoms during the pandemic among mothers using structural equation modeling, namely latent change score models. Thirty-three mothers completed questionnaires reporting current anxious and depressive symptoms (Beck Anxiety and Depression Index, respectively), as well as stressful life experiences prior to-versus during the pandemic (Social Readjustment Rating Scale). Women endorsed significantly more stressful events during the pandemic, relative to the pre-pandemic period. Additionally, 58% of mothers scored as moderate-to-high risk for developing a stress-related physical illness in the near future because of their pandemic-level stress. Depressive symptoms were associated with the degree of change in life stress, whereas anxiety symptoms were more related to pre-pandemic levels of stress. The present study preliminarily sheds light on the nuanced antecedents to mothers’ experiences of anxious and depressive symptoms during the COVID-19 pandemic. Although further work is needed in larger, more diverse samples of mothers, this study highlights the potential need for appropriate policies, and prevention and intervention programs to ameliorate the effects of pandemics on mothers’ mental health.

Flooded with too many messages? Predictors and consequences of instant messaging fatigue

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juhyung Sun ◽  
Sun Kyong Lee
Keyword(s):  
Digital Media ◽  
Structural Equation ◽  
Online Survey ◽  
Instant Messaging ◽  
The United States ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Content Type ◽  
Outcome Framework

PurposeDuring the digital media era with an explosion of messages, the prevalence of what is known as “message fatigue” has grown. However, there is a lack of understanding toward message fatigue in using instant messengers. Based on the stressor-strain-outcome framework, this study provides a theoretical model to explore possible predictors and consequences of instant messaging fatigue.Design/methodology/approachThe hypothesized model includes communication overload, social overload, instant messaging fatigue, technology and behavioral intention to use instant messaging. Three hundred and eleven responses are collected using an online survey. The authors conduct structural equation modeling to evaluate the hypothesized model and test the hypotheses.FindingsThis study reveals that (1) communication overload and social overload are positively associated with instant messaging fatigue and technostress; (2) higher levels of instant messaging fatigue and technostress are also related to a higher level of intention to discontinue usage; (3) technostress significantly mediates the relationship between instant messaging fatigue and intention to discontinue usage of instant messaging.Research limitations/implicationsThis study is limited to collect data from one university in the United States with a cross-sectional design. Future research should include other countries, different age groups and longitudinal methods to examine instant messaging fatigue.Originality/valueThis study extends existing findings on fatigue in using mobile communication by applying the stressor-strain-outcome framework to IM fatigue and improves the understanding of the potential negative aspects of instant messaging.

scholarly journals Father–Teen Talks about Sex and Teens’ Sexual Health: The Role of Direct and Indirect Communication

2021 ◽  
Vol 18 (18) ◽  
pp. 9760
Author(s):  
Jennifer M. Grossman ◽  
Lisette M. DeSouza ◽  
Amanda M. Richer ◽  
Alicia D. Lynch
Keyword(s):  
Sexual Behavior ◽  
Sexual Behaviors ◽  
Risky Sexual Behavior ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Sexual Values

Family talks about sex can protect against teens’ risky sexual behavior, but most research has focused on the role of mothers. The current study included cross-sectional survey data from 728 adolescents in the 11th and 12th grades (Mage = 17.00, SD = 0.90) in the United States. Structural equation modeling (SEM) was used to assess associations between teens’ direct and indirect talk, defined as less straightforward ways to communicate one’s sexual values, with fathers about sex, and teens’ sexual behaviors. There were no significant direct associations between father–teen talk about sex and teens’ sexual behavior. However, teen gender moderated associations between indirect father–teen communication and teens’ sexual behavior. The results suggest the need to assess indirect talk about sex in studies of family sexuality communication and to further investigate the role of teens’ identities in determining the influence of father–teen talk about sex on teens’ sexual behavior.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

Cross-Lagged Relationships Between Self-Esteem, Self-Construal, and Happiness in a Three-Wave Longitudinal Study

2019 ◽  
Vol 40 (3) ◽  
pp. 177-185
Author(s):  
Daniela Moza ◽  
Laurențiu Maricuțoiu ◽  
Alin Gavreliuc
Keyword(s):  
Structural Equation ◽  
Time Lag ◽  
Self Esteem ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Self Construal ◽  
Self Worth ◽  
Practical Implications ◽  
Independent Person

Abstract. Previous research established that an independent construal of the self is associated with higher self-esteem, which, in turn, is associated with increased happiness. Regarding the directionality of these relationships, theoretical arguments have suggested that self-construal precedes self-esteem and that self-esteem precedes happiness. However, most research in this area is cross-sectional, thus limiting any conclusions about directionality. The present study tested these relationships in 101 Romanian undergraduates using a 3-wave cross-lagged design with a 6-month time lag between every two waves. Structural equation modeling analyses revealed that self-esteem is an antecedent of both happiness and dimensions of independent self-construal (i.e., consistency vs. variability and self-expression vs. harmony). In other words, one’s positive evaluation of self-worth precedes one’s self-perception as being a happy and independent person. The findings are discussed with respect to the theoretical and practical implications, along with limitations and suggestions for future research.

How Communication in Organizations Is Related to Foci of Commitment and Turnover Intentions

2020 ◽  
pp. 1-12
Author(s):  
Sebastian Holzwarth ◽  
George Gunnesch-Luca ◽  
Roman Soucek ◽  
Klaus Moser
Keyword(s):  
Organizational Communication ◽  
Turnover Intention ◽  
Structural Equation ◽  
Affective Commitment ◽  
Turnover Intentions ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Communication In Organizations ◽  
Cohesion Theory

Abstract. The current study analyzes how two components of perceived organizational communication (vertical and horizontal) are related to employee turnover intentions via three types of affective commitment foci (organization, supervisor, and team). Using second-order confirmatory factor analysis and structural equation modeling techniques with a large cross-sectional dataset ( n = 3,317), our results show that, in line with social cohesion theory, vertical communication (e.g., supportiveness from the organization) is strongly related to affective organizational commitment, whereas horizontal communication (e.g., supportiveness from colleagues) is primarily related to affective team commitment. Additionally, both communication dimensions are related to affective supervisory commitment. Finally, these three foci of affective commitment incrementally explain and differentially mediate the relationship between perceived organizational communication and turnover intention.

scholarly journals Sustainable Idea Development Mechanism in University Technology Commercialization (UTC): Perspectives from Dynamic Capabilities Framework

2019 ◽  
Vol 11 (21) ◽  
pp. 6156
Author(s):  
Insu Cho ◽  
Young Hoon Kwak ◽  
Jaehyeon Jun
Keyword(s):  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Technology Commercialization ◽  
Cross Sectional ◽  
University Policy ◽  
European Universities ◽  
University Technology ◽  
University Technology Commercialization ◽  
Development Mechanism

Universities pays a lot of attention and investment in the technology commercialization for its sustainable development and social contribution under Korean government-driven policies. However, when compared to US or European universities, the outcomes of the technology commercialization in universities are relatively inactive. Therefore, this study aims to propose a new idea-oriented framework of University-Technology Commercialization (UTC). To achieve this, this study explores the sustainable mechanism from idea to technology commercialization in the volatile environment by employing dynamic capabilities framework. This study employed structural equation modeling (SEM) to identify causal relationships among the variables with a 2014 to 2016 dataset from ‘Higher Education in KOREA’. This study collected national and cross-sectional data from different time periods to design our longitudinal study. Our study examines UTC activities related to sustainable idea development mechanism from dynamic capability framework. The results show the importance of start-up clubs as a first step for idea exploration in university technology commercialization and patents as important for both technology transfers and start-ups. Our findings offer new UTC directions for university policy makers.

Sign in / Sign up

Export Citation Format

Share Document