Personality Trait Scores Research Articles

Best Practices in Supervised Machine Learning: A Tutorial for Psychologists

Supervised machine learning (ML) is becoming an influential analytical method in psychology and other social sciences. However, theoretical ML concepts and predictive-modeling techniques are not yet widely taught in psychology programs. This tutorial is intended to provide an intuitive but thorough primer and introduction to supervised ML for psychologists in four consecutive modules. After introducing the basic terminology and mindset of supervised ML, in Module 1, we cover how to use resampling methods to evaluate the performance of ML models (bias-variance trade-off, performance measures, k-fold cross-validation). In Module 2, we introduce the nonlinear random forest, a type of ML model that is particularly user-friendly and well suited to predicting psychological outcomes. Module 3 is about performing empirical benchmark experiments (comparing the performance of several ML models on multiple data sets). Finally, in Module 4, we discuss the interpretation of ML models, including permutation variable importance measures, effect plots (partial-dependence plots, individual conditional-expectation profiles), and the concept of model fairness. Throughout the tutorial, intuitive descriptions of theoretical concepts are provided, with as few mathematical formulas as possible, and followed by code examples using the mlr3 and companion packages in R. Key practical-analysis steps are demonstrated on the publicly available PhoneStudy data set ( N = 624), which includes more than 1,800 variables from smartphone sensing to predict Big Five personality trait scores. The article contains a checklist to be used as a reminder of important elements when performing, reporting, or reviewing ML analyses in psychology. Additional examples and more advanced concepts are demonstrated in online materials ( https://osf.io/9273g/ ).

Can low-income people afford life satisfaction? The modifying effect of personality traits, a cross-sectional study

The aim was to investigate whether the "Big Five" personality traits modify the association between household income and life satisfaction (LF); and to evaluate the interaction and main effects of personality traits and income on LF. Data from the Dental Care and Oral Health Study (DCOHS, 2015–2016) was used for the cross-sectional study (n = 3,475). Multivariable Poisson regression models (adjusted for demographics and health behaviours) assessed the effect of personality traits (measured using the Ten-Item Personality Inventory) on the association between income and LF (measured by the Satisfaction With Life Scale) using prevalence ratios (PRs). The Relative Excess Risk due to Interaction (RERI) was calculated to assess the direction of effect modification. Among low-income respondents, low LF was less prevalent in those with high personality trait scores than those with low scores. The difference in the prevalence of low LF by personality traits was greater between low versus high income for openness (11.4% vs 7.7%), agreeableness (12.3% vs 9.4%) and emotional stability (26.1% vs 20.2%) categories. The combined effects of low income and low scores for these traits on LF also exceeded the sum of their individual effects, as shown by their positive RERIs. The association between low income and low LF was modified by high openness, agreeableness and emotional stability scores. Findings suggest that psychological interventions for improving LF would be most beneficial in low-income groups.

The influence of personality on psychological safety, the presence of stress and chosen professional roles in the healthcare environment.

Healthcare teams are expected to deliver high quality and safe clinical care, a goal facilitated by an environment of psychological safety. We hypothesised that an individual's personality would influence psychological safety, perceived stressors in the clinical environment and confer a suitability for different professional roles. Staff members were recruited from the Emergency or Critical Care Departments of one National Health Service Trust. Qualitative interviews explored participants' experiences of personality, incorporating quantitative surveys to evaluate psychological safety and perceived stressors. The 16 Primary Factor Assessment provided a quantitative measure of personality. Participants demonstrated midrange scores for most personality traits, highlighting an ability to adapt to changing environments and requirements. There was a signal that different personality traits predominated between the two professional groups, and that certain traits were significantly associated with higher psychological safety and certain perceived stressors. Personality was described as having a strong influence on teamwork, the working environment and leadership ability. Our analysis highlights that personality can influence team dynamics and the suitability of individuals for certain clinical roles. Understanding the heterogeneity of personalities of team members and their likely responses to challenge may help leaders to support staff in times of challenge and improve team cohesiveness.

Investigation of the pre-competition anxiety levels of national team athletes participating in the kickboxing European championship according to their personality characteristics

This study is aimed to determine the relationship between the pre-competition anxiety levels and personality traits of the national team athletes competing in the Kickboxing European Championships. 82 national team athletes participated in the Kickboxing European Championships. The study consists of two scales: the 20-item STAI Form TX-1 and the 30-item Rapid Big Five Personality Test. Data analyses were based on the total score obtained from the scale for STAI Form TX-1 and the score obtained from the sub-dimensions for the Rapid Big Five Personality Test. In this study, the relational screening method was used. Since the data used in this study showed a normal distribution, parametric tests were used. Pearson correlation analysis was also applied between the continuous variables of the study. When the relationship between the pre-competition state anxiety levels and personality traits of the kickboxers included in the study was examined, it was seen that there was a negative low level of significant relationship between pre-competition state anxiety levels and compatibility personality trait scores, that there was a positive low level of significant relationship between pre-competition state anxiety levels and extroversion personality trait scores, that there was a significant relationship between pre-competition state anxiety levels and responsibility personality trait scores.

Violence against a child: mistakes of aggression, indifference and submission and the formation of antisocial personality in women

The use of violence against a child is considered to be the cause of the development of an antisocial personality. Three parental mistakes were distinguished: a) aggression, b) indifference, and c) submission to the child, as constituting the feature of violence against a child. The aim of the study was to determine whether there is a relationship between parental violence and girls developing a meta-personality trait typical of antisocial personality, i.e. Disinhibition (Alpha minus), characterized by: high neuroticism, low agreeableness and conscientiousness.The study was performed on a sample of 402 women aged 34 on average. The study was self-report, retrospective. The women were asked to provide answers about their parents' parenting mistakes and their own personality traits.The results revealed that aggression, indifference, and submission form a meaningful meta-trait, meaning that they are correlated and therefore often coexist in parenting behavior. The results confirmed theoretical assumptions. People who experienced more aggression, indifference, and submission from their parents as children show higher scores for antisocial personality traits.

The Effect of Creators' Personality Traits and Depression on Teamwork-Based Design Performance.

Many organizations encourage carrying out a project by teamwork for consensus building and managing risks in decision making. When working as a team, the members' personality traits and depression may affect project performance. This study explored the personality traits and depression of creators on their design performance in teamwork. This study used the Big-Five Personality Traits Scale (Big-5) and the Center for Epidemiologic Studies Depression Scale (CES-D). Forty-four volunteers were chosen to participate in this study as the study subjects. A total of 11 design teams were formed based on the participants' personality trait score and the depression score. The design performance of the participants was rated by creativity, aesthetics, and completeness. The study results showed that (1) for creativity, PT4 Neuroticism and D1 No Depression performed the best; (2) for aesthetics, PT4 Neuroticism, PT5 Openness, and D2 Mild Depression performed the best; (3) for completeness, PT5 Openness and D4 Severe Depression performed the best; and (4) for member satisfaction and work satisfaction, PT4 Neuroticism and D2 Mild Depression had the lowest scores. Therefore, the overall teamwork performance can be affected by personality traits and depression. Each individual's personality trait and emotional expression may improve team performance via different dimensions, such as creativity, aesthetics, and completeness. Project managers should have members of different personality traits and with different emotional expression on a team as their personality traits and emotion can facilitate team collaboration.

How social media expression can reveal personality

Personality psychology studies personality and its variation among individuals and is an essential branch of psychology. In recent years, machine learning research related to personality assessment has started to focus on the online environment and showed outstanding performance in personality assessment. However, the aspects of the personality of these prediction models measure remain unclear because few studies focus on the interpretability of personality prediction models. The objective of this study is to develop and validate a machine learning model with domain knowledge introduced to enhance accuracy and improve interpretability. Study participants were recruited via an online experiment platform. After excluding unqualified participants and downloading the Weibo posts of eligible participants, we used six psycholinguistic and mental health-related lexicons to extract textual features. Then the predictive personality model was developed using the multi-objective extra trees method based on 3,411 pairs of social media expression and personality trait scores. Subsequently, the prediction model's validity and reliability were evaluated, and each lexicon's feature importance was calculated. Finally, the interpretability of the machine learning model was discussed. The features from Culture Value Dictionary were found to be the most important predictors. The fivefold cross-validation results regarding the prediction model for personality traits ranged between 0.44 and 0.48 (p < 0.001). The correlation coefficients of five personality traits between the two "split-half" datasets data ranged from 0.84 to 0.88 (p < 0.001). Moreover, the model performed well in terms of contractual validity. By introducing domain knowledge to the development of a machine learning model, this study not only ensures the reliability and validity of the prediction model but also improves the interpretability of the machine learning method. The study helps explain aspects of personality measured by such prediction models and finds a link between personality and mental health. Our research also has positive implications regarding the combination of machine learning approaches and domain knowledge in the field of psychiatry and its applications to mental health.

Exploring the Relationship Between Personality Traits and e-Learning Autonomy of Distance Education Students

Understanding the relationship between personality traits and e-learning autonomy can help to provide tailored e-learning environments and student support. Although the related literature is rich regarding learner autonomy and personality traits, there is a dearth of research exploring the predictive relationship. This research investigates the relationship between personality traits and e-learning autonomy of distance education students. Data was collected using the Big 5 Personality Traits and e-Learning Autonomy scales from 3435 distance education students of Anadolu University’s Open Education Faculty. Results show that male students have more e-learning autonomy than female students, while female students have higher scores of personality traits except for agreeableness. The e-learning autonomy of distance education students had positive correlations with four personality traits except for neuroticism. Furthermore, extraversion, agreeableness, conscientiousness, and openness were significant predictors of e-learning autonomy behaviors of distance education students.

The prospective power of personality for childbearing: a longitudinal study based on data from Germany

The link between personality and fertility is relatively underexplored. Moreover, there are only a few studies focusing on the prospective association between personality and childbearing. However, none of these studies considered the Five-Factor Model (FFM), which is the most widely accepted measurement of personality. The present study fills this gap by examining the prospective association between the FFM and the hazard ratio of the first and the second childbirth in Germany. Analyses are based on recent data (2005–2017) from the Socio-economic Panel Study. Cox proportional hazard models are applied. Findings demonstrate that personality traits are associated with fertility. Extraversion is positively linked with the first childbirth, but is negatively associated with the second childbirth. These findings are mainly driven by males. Agreeableness is positively linked with the first childbirth across the total sample. Again, this correlation is mainly based on the findings for men, among whom a positive association between agreeableness and the second childbirth is also found. Among women, personality does not seem to be linked with the first childbirth. However, the risk of having a second child is found to be negatively associated with conscientiousness. My study adds to the current understanding of the personality–fertility association by exploring the impact of personality trait scores from the FFM on subsequent fertility behavior. However, further research is needed on the association between personality and childbearing; on the mechanisms through which personality affects fertility; and on how these links differ across cultures, among higher parities, and for births after re-partnering.

The relationship of social media addiction with interpersonal problem-solving and personality traits in university students

This study aims to examine the relationship of social media addiction with personality traits and interpersonal problem-solving style. Two hundred forty-four students participated in this cross-sectional study. Sociodemographic form, Social Media Addiction Scale, Short-Form Five Factor Personality Inventory, and Interpersonal Problem-Solving Inventory were used to collect the study's data. According to the result of analysis, it was determined that the agreeableness, conscientiousness, and openness to improvement personality trait scores increased as the social media addiction score increased. As the scores of approaching problems in a negative way, unwillingness to take responsibility, and lack of self-confidence increased, it was observed that social media addiction scores were increased. It was determined as constructive problem-solving and insistent-preserving approach scores increased, social media addiction scores decreased. This study would contribute to the literature by introducing a new concept to the factors affecting social media addiction.

Personality Traits and the Clinical Environment`s Stress Resources in Nursing Students.

The clinical environment always has been the most stressful course of nursing education. Personality traits can be influential factors in stress resources and responding to stress. The present study investigates the correlation between personality traits and nursing students' stress resources in the clinical environment. This descriptive correlational study was planned and performed on Zanjan University of Medical Sciences nursing students. The research population was 215 students selected by stratified random sampling method from all nursing students in the third to eighth semesters. We used an electronic questionnaire for data gathering, including three sections: demographic characteristics, NEO personality traits, and stress resources in the clinical environment. The data were analyzed using descriptive and inferential statistics. The most and least stressful resources were related to the score of unpleasant emotions and interpersonal relationships. We found a significant positive correlation between neuroticism personality traits and all four stress resources (p < 0.05). The results also showed a significant correlation between all scores of personality traits and perceived stress from unpleasant emotions except the openness to experience trait (p < 0.05). Furthermore, the relationship between age, gender, semester, interest, and stress resources in the clinical environment was statistically significant (p < 0.05). Paying attention to the nursing student's clinical performance to maintain the patient's health is vital and unavoidable. Therefore, more than ever in the preclinical course of nursing education, improving the psychological readiness and simulation training method can reduce the harmful effects of the clinical environment's stress resources on their clinical performance.

Effect of live video viewing on parents’ satisfaction and anxiety about radiotherapy introduction during radiotherapy for pediatric cancer

<h3>Objectives</h3> Althoughradiotherapy is an essential component of pediatric cancer treatment, parents of patients are often anxious and stressed before and during treatment. Less information on radiotherapy for childhood cancer and unusual treatment situations can lead parents to have negative perceptions and emotions. Our institute introduced a high-resolution camera and wide-screen live video system in the radiotherapy division to allow parents to view treatment. This study aimed to investigate the effect of this system on parent satisfaction and anxiety about radiotherapy introduction <h3>Methods</h3> The live video system comprised a high-resolution camera, 100-inch-wide monitor, and no-latency sound module. Parents in the radiotherapy division can view the patient in the treatment room through the monitor implemented next to the control room. This prospective study compared satisfaction and anxiety about radiotherapy introduction before and after live video viewing. Twenty parents whose child underwent radiotherapy were enrolled, and they completed a set of questionnaires—Client Satisfaction Questionnaire, State-Trait Anxiety Inventory, and original questionnaires about radiotherapy. <h3>Results</h3> Satisfactionscores improved significantly after live video viewing (67 ± 30) compared with those before live video viewing (82 ± 21) (p=0.013). Anxiety scores also decreased significantly after live video viewing (50 ± 9) compared with those before viewing (54 ± 11) (p=0.004). On the contrary, trait anxiety-related personality trait scores did not change drastically before and after viewing (48 ± 8.5 vs. 49 ± 7.5) (p=0.419) <h3>Conclusion</h3> This single-arm prospective study indicates that live video viewing of radiotherapy is effective in improving parents' anxiety about radiotherapy introduction s. Further large-scale and comparative studies are warranted to generalize the benefit of live video viewing.

Coping Strategies Adopted By First Year Medical Students and Their Academic Outcomes

Medical students tend to experience greater overall psychological distress when compared to the levels of distress observed in the general population. A careful analysis of the coping behaviors and their associations with personality factors etc., in the light of their biological basis, may offer important clues for successful interventions in order to yield fruitful academic outcomes. The fundamental aim was to evaluate the associations between the choice of coping strategies and the Big Five Personality traits among academic high- and low-achievers, and average students who have recently been exposed to the medical curriculum. The other three aims were to evaluate the relationship between the employment of coping strategies and psych morbidity among the above group; to explore the gender-based differences among the above student category; to assess the variations in the associations of adaptive/maladaptive coping with relationship to personality and other factors in the light of higher biological control mechanisms. The voluntary participants of the study include one hundred and forty-two first year medical students (68 males, 74 females) from a private University in Puducherry state, South India. The self-rating anxiety scale and self-rating depression scales were found out. The personality traits were elucidated using the NEO-FFI (NEO Five Factor Inventory), which was administered to all the participants. Those with T-scores above 50 were classified as having elevation in the concerned personality trait. After evaluating the scores of the various personality traits. The average marks secured by the students in four consecutive academic examinations was entered. Correlations between the coping strategies and the above mentioned factors among low- achievers revealed a) a small negative association between TOC and Neuroticism (p&lt;0.05); b) a small positive correlation between EOC and anxiety scores (p&lt;0.05); c) a negative association between TOC and anxiety and depression (p&lt;0.05); and d) a negative association between AOC-SD and depression scores (p&lt;0.05) were noted. . Studies concerning the link between coping strategies, personality and psychopathology may help in identifying certain risk and resilience factors that could influence the impact of stressful academic training for individual students.

Melancholic features and typical neurovegetative symptoms of major depressive disorder show specific polygenic patterns

BackgroundMajor depressive disorder (MDD) is a highly prevalent psychiatric condition characterised by a heterogeneous clinical presentation and an estimated twin-based heritability of ~40–50 %. Different clinical MDD subtypes might partly reflect distinctive underlying genetics.This study aims to investigate if polygenic risk scores (PRSs) for different psychiatric disorders, personality traits, and substance use-related traits may be associated with different clinical subtypes of MDD (i.e., MDD with melancholic or psychotic features), higher symptom severity, or different clusters of depressive symptoms (i.e., sadness symptoms, typical neurovegetative symptoms, detachment symptoms, and negative thoughts). MethodsThe target sample included 1149 patients with MDD, recruited by the European Group for the Study of Resistant Depression. PRSs for 25 psychiatric disorders and traits were computed based on the most recent publicly available summary statistics of the largest genome-wide association studies. PRSs were then used as predictors in regression models, adjusting for age, sex, population stratification, and recruitment sites. ResultsPatients with MDD having higher PRS for MDD and loneliness were more likely to exhibit melancholic features of MDD (p = 0.0009 and p = 0.005, respectively). Moreover, patients with higher PRS for alcohol intake and post-traumatic stress disorder were more likely to experience greater typical neurovegetative symptoms (p = 0.0012 and p = 0.0045, respectively). LimitationsThe proportion of phenotypic variance explained by the PRSs was limited. ConclusionsThis study suggests that melancholic features and typical neurovegetative symptoms of MDD may show distinctive underlying genetics. Our findings provide a new contribution to the understanding of the genetic heterogeneity of MDD.

Personality traits and income inequalities in self-rated oral and general health.

The association of low income with poor health is widely recognized, but why some low-income individuals do not experience poor health remains unclear. The aim of this study was to determine whether greater positive personality trait scores modify the association between income and oral and general health-related quality of life (OHRQoL and HRQoL) among a representative sample of the South Australian population. Cross-sectional self-rated questionnaire data from a sample of 3645 adults in 2015-2016 were used for secondary analysis. In four factorial ANOVA models, the main effects, interaction, and effect modification of personality traits [measured using the Ten-Item Personality Inventory (TIPI)] on the association between income and OHRQoL [measured using the Oral Health Impact Profile (OHIP-14)] and HRQoL [measured using the European Quality of Life indicator (EQ-5D-3L)] were assessed. In the low-income group, participants with greater TIPI scale scores had lower means for the OHIP-14 and the EQ-5D-3L (better OHRQoL and HRQoL). Greater emotional stability scores modified the association between low income and HRQoL and OHRQoL. Stronger positive personality traits, such as emotional stability, appear to ameliorate the adverse effect of income inequalities in health.

Oral Parafunctional Habits in Individuals with The Extravert Personality Type

OBJECTIVES: To find the association of extraversion personality traits with oral parafunctional habits. METHODOLOGY: A Cross-sectional descriptive study was conducted on 200 individuals in the College of Dentistry, Sharif Medical and Dental College, Lahore, over 5 months from July to November 2021. Data was collected using a pre-validated medical questionnaire and a ten-item personality inventory scale (TIPI). The sampling technique used was Convenience sampling. A sample size of 200 was calculated with the help of WHO sample size determination software. RESULTS: There was a statistically significant difference in the scores of extraversion personality traits across the oral parafunctional habit group of nail-biting (p= 0.007). In contrast, that for tooth grinding (0.114), tooth clenching (0.076), biting hard objects (0.74) and chewing gum (p= 0.659) was non-significant. The highest mean rank score for the personality trait of extraversion was found in individuals who strongly agreed to have a habit of nail-biting (129.23), tooth grinding (153.63), and tooth clenching (142.61) and biting hard objects (12.07). The highest mean rank score for the parafunctional habit of chewing gum (107.28) was found in individuals who strongly disagreed with having the habit. CONCLUSION: The highest mean rank score for the personality trait of extraversion was found in individuals who strongly agreed to have a habit of nail-biting, tooth grinding, tooth clenching and biting hard objects. The highest mean rank score for the parafunctional habit of chewing gum was found in individuals who strongly disagreed with having the habit.

CORRELATION OF ORAL PARA-FUNCTIONAL HABITS WITH THE TEN-ITEM PERSONALITY INVENTORY IN GENERAL POPULATION

Objectives: To fi nd the correlation between personality traits and oral para-functional habits.Methods and materials: A Cross-sectional descriptive study was conducted in College of Dentistry, Sharif Medical and Dental College, Lahore over a period of 5 months from July to November 2021 on 200 participants. Data was collected using medical questionnaire and ten item personality inventory scale (TIPI). SPSS 23 was used for statistical analysis. P values less than equal to 0.05 was considered signifi cant Kendall tau b test was used to fi nd the correlation of the personality trait scores and the parafunctional habits.Results: A statistically significant weak negative correlation was seen between emotional stability and teeth grinding (τb= -0.117, p=0.038), teeth clenching (τb= -0.124, p=0.026) and the parafunctional habit of biting on hard objects (τb= -0.156, p=0.005).Conclusion: Emotional stability was negatively correlated to tooth grinding, tooth clenching and biting on hard objects. Individuals with a high score of emotional stability did not have these parafunctional habits while those with a high score of extraversion had all the parafunctional habits except chewing gum.

Impact of Socio-Demographic Factors on Different Personality Types in Individuals

Objective: To assess the impact of socio-demographic factors on different personality types in individual. Methodology: A Cross-sectional descriptive study was conducted in College of Dentistry, Sharif Medical and Dental College, Lahore over a period of 5 months from July to November 2021. Data was collected using a ten-item personality inventory scale (TIPI). The sociodemographic variables included age, gender, marital status, occupation and educational level. All individuals irrespective of their age and gender were included in the study. Individuals with a history of psychiatric illness were excluded from the study. Results: There was a statistically significant difference in conscientiousness personality traits among age groups (p=0.006). Similarly, the difference in the personality trait of agreeableness (p≤0.001), conscientiousness (=0.016), and emotional stability (p=0.007) across gender was statistically significant. There was also a statistically significant difference in the scores of agreeableness among the employed and unemployed individuals (p=0.044). Conclusion: The conscientiousness personality trait score among age groups was the highest for the age group 50 to 59. The personality trait scores of agreeableness, conscientiousness, emotional stability across gender were higher in females in comparison to males. The contrary was true for emotional stability. The score of agreeableness was higher for unemployed individuals in comparison to employed individuals. Keywords: extraversion, agreeableness, conscientiousness, emotional stability, openness to experience, sociodemographic factors.

The cannabinoid receptor-1 gene interacts with stressful life events to increase the risk for problematic alcohol use

Problematic alcohol use is a major contributor to the global burden of death and disabilities, and it represents a public health concern that has grown substantially following the COVID-19 pandemic. The available treatment options remain limited and to develop better pharmacotherapies for alcohol misuse we need to identify suitable biological targets. Previous research has implicated the brain’s endocannabinoid system (ECS) in psychiatric and stress-related outcomes, including substance use and habituation to repeated stress. Moreover, genetic variants in the cannabinoid-1 receptor gene (CNR1; CB1R) have been associated with personality traits, which are in turn predictors of substance use disorders. To date, however, no human genome-wide association study has provided evidence for an involvement of the ECS in substance use outcomes. One reason for this ECS-related “missing heritability” may be unexamined gene-environment interactions. To explore this possibility, we conducted cross-sectional analyses using DNA samples and stress-exposure data from a longitudinal Swedish population-based study (N = 2,915). Specifically, we genotyped rs2023239, a functional C/T single nucleotide polymorphism in CNR1, previously reported to be associated with CNR1 binding in the brain, subjective reward following alcohol intake, and alcohol cue-elicited brain activation. Our two outcomes of interest were (i) problematic alcohol use based on the Alcohol Use Disorders Identification Test (AUDIT), and (ii) personality trait scores based on the Five Factor Model. We found no baseline association between rs2023239 and problematic alcohol use or personality traits. However, there was a clear trend for interaction between rs2023239’s risk allele (C) and stressful life events (SLEs) in both childhood and adulthood, which predicted problematic alcohol use. Although not significant, there was also some indication that the risk allele interacted with child SLEs to increase scores on neuroticism. Our study supports the notion that the ECS can affect alcohol intake behaviors by interacting with life adversities and is—to the best of our knowledge—the first to focus on the interaction between CNR1 and stressors in both childhood and adulthood in humans. Further studies are warranted to confirm these findings.

Stability and change in the Big Five personality traits: Findings from a longitudinal study of Mexican-origin adults.

A large body of research has documented how personality develops across adulthood, yet very little longitudinal work has examined whether these findings generalize beyond predominantly middle-class, highly educated White American or Western European individuals. This preregistered study uses longitudinal data from 1,110 Mexican-origin adults who completed a well-validated personality measure, the Big Five Inventory, up to six times across 12 years. Individuals generally maintained their rank ordering on the Big Five over time (rs = .66-.80), and the relative ordering of the Big Five within persons was also highly stable (rs = .58-.66). All of the Big Five traits showed small, linear mean-level decreases across adulthood. These trajectories showed few associations with sociodemographic factors (sex, education level, and IQ) and cultural factors (generational status, age at immigration, Spanish/English language preference, Mexican cultural values, American cultural values, and ethnic discrimination). The statistically significant findings we did observe mostly concerned associations between cultural values and Extraversion, Agreeableness, and Openness. Acquiescence bias was also positively associated with Big Five personality trait scores at every wave. There was no evidence of mean-level change in the Big Five when including time-varying acquiescence scores as covariates in the models. Divergences between the present findings and previous research highlight the need to study personality development with diverse aging samples. (PsycInfo Database Record (c) 2022 APA, all rights reserved).