Big Five Personality Research Articles

A Richer Vocabulary of Chinese Personality Traits: Leveraging Word Embedding Technology for Mining Personality Descriptors.

This study uses a data-driven approach to mine the distribution of personality traits among Chinese people in the Chinese social context. Based on the hypothesis of personality lexicology, word embedding technology was employed in machine learning to mine personality vocabulary from Tencent's word embedding database. More than 10,000 Chinese personality descriptors were extracted and analyzed using Gaussian Mixture Model Cluster and Hierarchical clustering analysis. The data was collected from 658 Chinese people randomly from all parts of China through an online questionnaire method. The results reveal six personality traits in the Chinese context, expanding the personality thesaurus and providing examples to illustrate each trait. The findings coincide with previous research on the five-factor model, which partially describes the personality traits of Chinese people, but does not offer a complete explanation of their typical social behavior patterns. Additionally, the study supports the notion of cultural particularity in personality traits. The approach used in this study offers a richer personality vocabulary than traditional personality mining methods, and word embedding technology captures richer semantic information in Chinese. The six Chinese personality traits identified in this study will also be used to explore how to quantify and evaluate personality traits based on word embedding and personality descriptors.

Evaluating the cross-cultural competence instrument for healthcare professionals (CCCHP) among nurses in Okinawa, Japan

BackgroundTo provide better quality healthcare services to patients with different linguistic and cultural backgrounds, the cross-cultural competence of medical professionals is important. However, assessing and improving the cross-cultural competence of healthcare professionals is difficult in Japan, as there is no standardized scale to measure the competence. This study’s purpose was to translate the Cross-Cultural Competence instrument for Healthcare Professionals (CCCHP), which was developed and used in Europe, and to examine its reliability and validity among Japanese nurses.MethodsDuring June and July 2021, nursing staff were invited to take web- and paper-based surveys in Okinawa Japan. The CCCHP (five-factor model with 27 items across motivation, attitude, skills, emotion, and knowledge) was translated using a combination translation method, and a five-point Likert scale was used for responses. Exploratory and confirmatory factor analyses and known-group method were used to examine structural validity, while Cronbach’s alpha coefficient was used to test reliability.ResultsA total of 294 responses were analyzed; 77.2% had more than five years of experience. Since the fit index indicated that the five-factor model was not a good fit, it was modified to a four-factor model (J-CCCHP24) by moving three variables, removing the knowledge factor, and using the error covariance of the variables. The fit index after the modification was improved to comparative fit index (CFI) = 0.92, Tucker-Lewis index (TLI) = 0.91, root mean square error of approximation (RMSEA) = 0.05, and standardized root mean square residual (SRMR) = 0.06, and Cronbach’s alpha was 0.85. The mean scores of J-CCCHP24 were significantly higher in the group with a history of overseas travel, higher foreign language skill, training in intercultural care, experience of foreign patient care, and intercultural interactions outside the workplace than in the group without these characteristics.ConclusionThis study confirmed the validity and reliability of the modified Japanese version of the CCCHP (four-factor model with 24 items). The results suggest that the exposure to different cultures on a personal level may help improve nurses' cross-cultural competence. Further refinement of this scale for practical use would encourage the implementation of necessary countermeasures to improve the cross-cultural competence of Japanese healthcare professionals.

A large-scale microblog dataset and stock movement prediction based on Supervised Contrastive Learning model

The integration of Deep Neural Networks (DNN) with Natural Language Processing (NLP) technologies has opened new avenues in financial market prediction, particularly through the utilization of textual information. This study represents a significant advancement, which offers two primary contributions to stock trend prediction: (i) the exploitation of textual data (news, comments, microblogs) using advanced DNN architectures, enhancing market information utilization; (ii) significant improvement of the accuracy of predicting the direction of stock volatility by integrating textual and neural network technologies. Meanwhile, we have crawled, filtered, and constructed a large-scale microblog dataset. This dataset includes approximately 114,992 microblog textual data from 40 Science and Technology Innovation Board (STIB) companies in China during 2021. We conducted a comprehensive analysis using various DNN techniques, including Feedback Neural Networks (FNN), Supervised Contrastive Learning (SCL), Cross Entropy (CE), and Dual Contrastive Learning (DualCL), in conjunction with bag of words models, BERT, and Roberta compilers. Our findings reveal that the SCL method, when combined with microblog data, significantly increases prediction accuracy, particularly during the COVID-19 period. Furthermore, we discovered that using a cross-stock dataset enhances the accuracy of all prediction methods, and random allocation of microblog data leads to better results than sequential allocation. Additionally, we compared the efficacy of traditional models like the CAPM, three-factor, and five-factor models against neural network-based methods. Our results suggest a notable superiority of the SCL method in increasing prediction accuracy. Finally, applying our findings to real-world trading strategies, we demonstrated the practical advantages of using the SCL method in trading, evidenced by significant improvements across all performance indicators.

The maps of meaning consciousness theory.

In simple terms, consciousness is constituted by multiple goals for action and the continuous adjudication of such goals to implement action, which is referred to as the maps of meaning (MoM) consciousness theory. The MoM theory triangulates through three parallel corollaries: action (behavior), mechanism (morphology/pathophysiology), and goals (teleology). (1) An organism's consciousness contains fluid, nested goals. These goals are not intentionality, but intersectionality, via the Darwinian byproduct of embodiment meeting the world, i.e., Darwinian inclusive fitness or randomization and then survival of the fittest. (2) These goals are formed via a gradual descent under inclusive fitness and are the abstraction of a "match" between the evolutionary environment and the organism. (3) Human consciousness implements the brain efficiency hypothesis, genetics, epigenetics, and experience-crystallized efficiencies, not necessitating best or objective but fitness, i.e., perceived efficiency based on one's adaptive environment. These efficiencies are objectively arbitrary but determine the operation and level of one's consciousness, termed as extreme thrownness. (4) Since inclusive fitness drives efficiencies in the physiologic mechanism, morphology, and behavior (action) and originates one's goals, embodiment is necessarily entangled to human consciousness as it is at the intersection of mechanism or action (both necessitating embodiment) occurring in the world that determines fitness. (5) Perception is the operant process of consciousness and is the de facto goal adjudication process of consciousness. Goal operationalization is fundamentally efficiency-based via one's unique neuronal mapping as a byproduct of genetics, epigenetics, and experience. (6) Perception involves information intake and information discrimination, equally underpinned by efficiencies of inclusive fitness via extreme thrownness. Perception is not a 'frame rate' but Bayesian priors of efficiency based on one's extreme thrownness. (7) Consciousness and human consciousness are modular (i.e., a scalar level of richness, which builds up like building blocks) and dimensionalized (i.e., cognitive abilities become possibilities as the emergent phenomena at various modularities such as the stratified factors in factor analysis). (8) The meta dimensions of human consciousness seemingly include intelligence quotient, personality (five-factor model), richness of perception intake, and richness of perception discrimination, among other potentialities. (9) Future consciousness research should utilize factor analysis to parse modularities and dimensions of human consciousness and animal models.

Re-evaluating the factor structure of the Tolerance of Ambiguity of Medical Students And Doctors (TAMSAD) scale in newly qualified doctors

Background Ambiguity and uncertainty are inherent within the practice of medicine. While theory suggests the construct may be multidimensional, scales such as the Tolerance of Ambiguity of Medical Students And Doctors (TAMSAD) act unidimensionally, at least in a local population. Therefore, the dimensionality of the Tolerance of Ambiguity (ToA) construct remains unclear. This study aims to explore the dimensionality of ToA in early postgraduate doctors using the TAMSAD scale in a UK national sample and consider the implications of this dimensionality for theory and practice. Methods We used data from 428 respondents in a national research project examining the experiences of newly qualified doctors in the UK (2020). We undertook an exploratory factor analysis (extracting one-factor to six-factor solutions) of the 29-item TAMSAD scale and compared findings to an existing integrative model of uncertainty tolerance. Results The analysis suggested that the ToA construct is multidimensional. The three-factor model and five-factor model provided clinically interpretable factors and had different merits. It appears that having an affinity for complexity is not simply the opposite of experiencing discomfort from uncertainty, and that a professional’s epistemological beliefs about the nature of medicine may influence their ToA. Conclusions These findings support an extension to a key integrative model of uncertainty tolerance, and support development of interventions to increase ToA in doctors. For example, through encouraging increased reflection on an individual’s own epistemological beliefs about medicine and the role of doctors. The potential impact of such interventions can be evaluated using scales such as the TAMSAD.

Exploring the relationship between personality traits and locus of control in early adolescence. Doesgender play a role?

The main aim of this study was to analyse associations between the five-factor model personality traits and locus of control of successes and failures based on the theory of social learning and to assess whether gender moderated relationships between these variables in Polish early adolescents. The following instruments were used: the Picture Based Personality Survey for Children and the Locus of Control Questionnaire. A total of 1016 students participated in the study, including 49% boys and 51% girls. Both for girls and boys, the highest correlations were found between conscientiousness and locus of control in success situations. Neuroticism correlated negatively with the two types of locus of control. A moderating effect of gender was observed between openness to experience and locus of control of successes, and it was stronger in girls than in boys.

Negative life events and their association with anxiety in adolescents with subthreshold depression

Subthreshold depression (SD) is a serious mental health problem in adolescents, and there is increasing evidence that depressive symptoms frequently occur alongside anxiety. Despite this, the extent to which negative life events (NLEs) are an associated factor in adolescents with SD comorbid with anxiety remains unclear. A total of 371 Chinese adolescents with SD were recruited (204 girls, 166 boys and missing data), ranging in age from 14 to 19 years (M = 16.34, SD = 0.96). All subjects were rated on the Centre for Epidemiological Studies Depression Scale (CES-D), the Multidimensional Anxiety Scale for Children (MASC), the Individualism-Collectivism Scale (ICS), the Adolescent Life Events Questionnaire (ALEQ), and the Neuroticism Extraversion-Openness Five-Factor Inventory (NEO-FFI-N). The SD adolescents with higher anxiety had higher neuroticism scores, more self-reported negative life events and vertical individual orientation than those with low anxiety, and more of them were female than male (all p < 0.05). Further logistic regression indicated that gender, severity of depressive symptoms, vertical individualism orientation, and neuroticism were significantly associated with anxiety symptoms (p < 0.05). Our cross-sectional study could not explain the causal relationship between the severity of individual anxiety and risk factors in SD adolescents. Our results suggest that SD adolescents with high anxiety are more likely to experience NLEs than SD adolescents with low anxiety. Gender, severity of symptoms, vertical individualism orientation, and neuroticism are independent risk factors for anxiety in SD adolescents.

The Correlation Between the Big-Five Personality Traits and Social Media Use among Young Adult

The Correlation Between the Big-Five Personality Traits and Social Media Use among Young Adult

Influence of Personality Traits and Organizational Justice on Job Satisfaction among Nurses.

The purpose of this research was to examine whether demographic variables, personality traits, and workplace variables (working in shifts, job tenure, and perceived organizational justice) contribute the most to the prediction of job satisfaction in nurses. The survey included 161 nurses. The instruments used in this research were as follows: the Demographic Data Questionnaire, the Perceived Organizational Justice Scale, the Job Satisfaction Scale, and the NEO five-factor inventory. The study findings indicated that age, health status, distributive justice, and procedural justice positively contribute to job satisfaction among nurses, while neuroticism contributes negatively. Older nurses, those in better health, those who are satisfied with the organization's decision-making process, and those who feel adequately rewarded for their contributions tend to be more satisfied with their jobs. Conversely, nurses with a higher level of the neuroticism personality trait tend to be less satisfied with their job. The strongest predictors of job satisfaction among nurses were found to be health status, the personality trait of neuroticism, and distributive and procedural justice, with the age of nurses being slightly less powerful but still significant.

Self- and informant-reported personality traits and vaccination against COVID-19.

As COVID-19 vaccines' accessibility has grown, so has the role of personal choice in vaccination, and not everybody is willing to vaccinate. Exploring personality traits' associations with vaccination could highlight some person-level drivers of, and barriers to, vaccination. We used self- and informant-ratings of the Five-Factor Model domains and their subtraits (a) measured approximately at the time of vaccination with the 100 Nuances of Personality (100NP) item pool (N = 56,575) and (b) measured on average ten years before the pandemic with the NEO Personality Inventory-3 (NEO-PI-3; N = 3,168). We tested individual domains' and either items' (in the 100NP sample) or facets' (in the NEO-PI-3 sample) associations with vaccination, as well as their collective ability to predict vaccination using elastic net models trained and tested in independent sample partitions. Although the NEO-PI-3 domains and facets did not predict vaccination ten years later, the domains correlated with vaccination in the 100NP sample, with vaccinated people scoring slightly higher on neuroticism and agreeableness and lower on openness, controlling for age, sex, and education. Collectively, the five domains predicted vaccination with an accuracy of r = .08. Associations were stronger at the item level. Vaccinated people were, on average, more science-minded, politically liberal, respectful of rules and authority, and anxious but less spiritual, religious, and self-assured. The 100NP items collectively predicted vaccination with r = .31 accuracy. We conclude that unvaccinated people may be a psychologically heterogeneous group and highlight some potential areas for action in vaccination campaigns.

Innovative leadership and sustainable performance: a moderation study through personality traits

PurposeThe present study aims to investigate the relationship between innovative leadership and sustainable performance in the education sector. The present study also tested the moderation role of personality traits agreeableness, extraversion, emotional stability, conscientiousness and openness in the relationship.Design/methodology/approachData for the present study were collected from 209 university teachers. The employed sampling technique was convenience, and the sample size was calculated through the Kerjis–Morgan method. Furthermore, a survey method using a questionnaire was used in this study. For the data analysis, SPSS and SmartPLS were used.FindingsThe present study found that innovative leadership has a significantly positive relationship with sustainable performance. Results also confirmed the moderating effects of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness.Originality/valueThe relationship between innovative leadership and sustainable performance for the first time in the education sector’s context. Secondly, this study contributed to the moderating role of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness between innovative leadership and sustainable performance, which was a yet-to-explored phenomenon. The study model was tested through the combination of the big five-factor model and the theory of planned behaviour, which is another novelty of the study.

Relationship of Resilience to Big-five Personality and Coping among University Students

The present study aims to further analyze relationships of resilience to big-five personality and coping among university students and got deeper understanding of this theme. Furthermore, right coping strategies were found to guide people s behavior under adversity. 193 participants had completed the questionnaires including 14-Item Resilience Scale, The Big Five Inventory(BFI) and The Brief COPE. The study found that all variables except avoidance types of coping were positively correlated with resilience. All factors in Big-five personality had relationship with coping. Furthermore, approach way of coping and extroversion of personality can predicted resilience. Some fi ndings were not conformed with previous research were discussed in the study.

The Depressiveness, Quality of Life and NEO-FFI Scale in Patients with Selected Genodermatoses.

Background: Dermatological conditions extend beyond physical symptoms, profoundly impacting the psychological well-being of patients. This study explores the intricate relationship between depressive symptoms, quality of life (QoL), and personality traits in individuals diagnosed with specific genodermatoses. Methods: The study cohort comprised 30 patients with genodermatoses treated at the dermatology clinic, and a healthy control group. Standardized survey questionnaires: The Dermatology Life Quality Index (DLQI), Beck's Depression Inventory (BDI), and NEO Five-Factor Inventory (NEO-FFI) were employed for assessments. Results: The findings indicate a significantly elevated risk of severely or very severely reduced QoL in the study group compared to matched controls (OR = 22.2, 95% CI: 2.7-184.8). Specifically, individuals with ichthyosis exhibited a staggering 131-fold higher risk of diminished QoL compared to the control group. Furthermore, the prevalence of depression was higher in the study group than in the control group (36.7% vs. 10%; p = 0.0086). A detailed analysis revealed that patients with low or average agreeableness exhibited a notably higher incidence of depression compared to those with high agreeableness (100% or 75% vs. 28.6%; p = 0.0400). Similarly, individuals with high levels of neuroticism had a significantly higher incidence of depression compared to those with average or low levels of neuroticism (rates: 66.7% vs. 9.1% or 0%, respectively; p = 0.0067). Conclusions: The study underscores a substantial correlation between genodermatoses and the mental health of affected individuals, underscoring the imperative consideration of psychological factors in the management of hereditary skin disorders. Our study's primary limitation is the small sample size, stemming from difficulties in recruiting participants due to the rare nature of the studied conditions.

Multiple sclerosis and personality traits: associations with depression and anxiety

BackgroundDepression and anxiety are commonly observed in people with multiple sclerosis (pwMS). There is a growing body of literature supporting the hypothesis that personality traits can influence the mood disorders. This study aimed to investigate the personality traits and their relationships with depression and anxiety among pwMS.Methods234 pwMS were involved in this cross-sectional study. Personality traits, depression, and anxiety were assessed using the NEO Five-Factor Inventory (NEO-FFI) and Hospital Anxiety and Depression Scale (HADS), respectively. Pearson's correlation coefficient and generalized linear model were employed to evaluate the relationships between demographic and clinical characteristics, NEO-FFI, and HADS subscales.ResultsIn pwMS, longer disease duration was significantly associated with lower level of conscientiousness (β = − 0.23, p = 0.008) and agreeableness (β = − 0.2, p = 0.01). Moreover, higher expanded disability status scale (EDSS) of pwMS had a significant relationship with higher level of neuroticism (β = 0.89, p = 0.01). Increased level of neuroticism was significantly correlated with lower level of extraversion (r = − 0.28, p < 0.001), openness (r = − 0.37, p < 0.001), agreeableness (r = − 0.31, p < 0.001), and conscientiousness (r = − 0.45, p < 0.001). PwMS with higher level of conscientiousness showed more extraversion (r = 0.23, p < 0.001), openness (r = 0.61, p < 0.001), and agreeableness (r = 0.41, p < 0.001). Elevated level of neuroticism was significantly associated with higher level of anxiety (β = 0.47, p < 0.001) and depression (β = 0.11, p < 0.001) among pwMS.ConclusionThe co-occurrence of depression and anxiety is probably associated with neuroticism among pwMS. Additionally, the impact of personality traits extends to influencing key disease aspects such as physical disability and disease duration in MS.

Children's perception of food parenting practices: adaptation and validation of the comprehensive feeding practices questionnaire in Chilean adolescents.

Assessment of the Comprehensive Feeding Practices Questionnaire in adolescents (CFPQ-Teen) is still limited, with no evaluation of the measurement invariance. The participants comprised 473 Chilean adolescents of both sexes from dual-income nuclear families. The aims of this study were: (1) to adapt to Spanish and validate a model of five-factor version the CFPQ-Teen; (2) to examine the psychometric properties, (3) to evaluate the measurement invariance according to the adolescents' gender; and (4) to compare the scores of each factor between female and male adolescents. The instrument was translated, back-translated, and adapted from the CFPQ-Teen, confirming the equivalence, conceptual, and face validity in a pilot sample of 40 adolescents. An exploratory factor analysis was performed on the five-factor model of the CFPQ-Teen: Monitoring, Adolescent Control, Restriction for weight control, Parental Modeling, and Environment. The Environment factor was eliminated as a result. The confirmatory factor analysis presented good reliability, convergent, discriminant, and concurrent validity values. In addition, medium to high goodness-of-fit levels were obtained by eliminating an item from the Adolescent Control factor. These results confirm a final 20-item model representing four factors. The multigroup invariance analysis of the measurement model verified configural, metric, scalar, and partial strict invariance. No significant differences were found between females and males in the scores on the four factors. These results enable comparisons by sex on the perceptions of Food Parenting Practices from the analyzed factors, primarily within the context of the Chilean sample.

Relationship Between Personality Traits and Perceived Pain After Photorefractive Keratectomy: A Cross-Sectional Study in Hamadan

Background: Photorefractive keratectomy (PRK) is a common procedure to correct refractive errors. However, postoperative pain is one of the most common drawbacks of PRK. Evidence shows that individual`s personality traits could impact postoperative perceived pain. Hence, this study aimed to investigate the severity of postoperative pain and personality traits after PRK.Materials and Methods: This cross-sectional study was performed on 300 patients who attended to Mahdieh Surgical Clinic (Hamadan, Iran) and underwent PRK. Persian version of the NEO Five-Factor Inventory (NEO-FFI) was applied to assess personality traits, and postoperative pain was measured using the visual analog scale (VAS) score.Results: The mean age of patients was 31.8 ±5.51 years, and most (68%) were female. The most common personality trait was neuroticism, and the mean refractive errors of the right and left eyes of the patients were 1.2±2.67 and 1.3±2.75, respectively. Regarding the VAS score, patients with neuroticism traits perceived the most severe postoperative pain (VAS=6±2.2). Also, the Pearson correlation test indicated a positive correlation between perceived pain and neuroticism personality traits (r=0.059, P˂0.001). In contrast, a significant negative correlation was observed between extraversion and conscientiousness with pain perception (r= -0.737 and r= -0.307, respectively).Conclusion: Our findings showed a positive and significant correlation between three personality traits and pain perception in these patients. Postoperative pain perception in patients undergoing PRK depends on the personality traits of these patients. Groups with less personality stability feel more pain than groups with stable personalities.

The Effect of Telehealth Marriage Checkup on Improvement of Marital Quality in Newlywed Couples

This quasi-experimental study investigated the effects of a telehealth Marriage Checkup on improvement of marital quality among 98 newly married couples. We assigned couples to either an intervention) telehealth Marriage Checkup program (or a control group.The participants completed the Quality of Marriage Index (QMI), and the NEO Five-Factor Inventory (NEO-FFI) at baseline, post-intervention, and three-month follow-up. The telehealth Marriage Checkup significantly increased marital satisfaction and this effect persisted at the three-month follow-up. Our study demonstrates the importance of early preventive interventions for enhancing and maintaining marital satisfaction in the initial stages of marriage.

Development and validation of the Chinese Kindergarten Quality Rating Scale (CKQRS): A study based in Guangdong and Jiangsu provinces

ObjectiveThe present study aimed to develop a new measure to assess the quality of kindergartens in terms of the proximal features, programme characteristics, and administration and management. MethodThe research involved multiple procedures to develop and validate the new measure, Chinese Kindergarten Quality Rating Scale (CKQRS). Firstly, in the development stage, the ecological system model, Integrated Model of ECEC Quality, was adopted as a conceptual framework to develop the items of CKQRS. The items were reviewed by an expert review panel composed of 18 ECEC experts to thoroughly review the content and assure the content validity of the new measure by means of a Delphi method. Secondly, one hundred and twelve kindergartens were evaluated through on-site observation by different measures, including the CKQRS, Early Childhood Environment Rating Scale-Revised (ECERS-R), and Programme Administration Scale (PAS) in order to assess the concurrent validity of the CKQRS. Thirdly, the CKQRS was further examined for the factorial structure, the psychometric equivalence of the rating scale across sub-groups (i.e. measurement invariance), and the internal consistency. ResultsThe results from the Delphi method showed that the CKQRS items have good content validity based on the relevance rating by the expert panel. The results showed that the CKQRS items are significantly associated with ECERS-R and PAS items, which demonstrated a good concurrent validity. The exploratory factor analysis results showed that the CKQRS has a good fit with a five-factor model. That is, the quality of ECEC can be evaluated by five components: (a) proximal features, (b) learning and development support, (c) programme planning, (d) physical space, health and safety, and (e) administration and management. The measurement invariance was examined between two sub-groups by school size. The measurement invariance assessment result showed that there is an identical factor structure (i.e. configural invariance), identical factor loadings (i.e. metric invariance), and identical intercepts (i.e. scalar invariance) between the two sub-groups. ConclusionThis measure provides empirical evidence on the quality of ECEC through the perspective of ecological system theory and may inform policy making on identifying the supports needed in enhancing the quality of ECEC.

GPT's idea of stock factors

We amalgamate the capabilities of the GPT-4 computational model with the avant-garde methodology of autonomous factor generation, culminating in the synthesis of high-return factors within the equity investment milieu. Empirical outcomes elucidate that the factors conceptualized by ChatGPT attain a commendable Sharpe ratio peaking at 4.49, accompanied by an annualized return reaching 66.16%. Notably, the superlative excess returns garnered remain unaccounted for by the quintessential five-factor model. Through the implementation of an unembellished model averaging paradigm, the ensemble of 35 factors, conceived by ChatGPT, manifests an apex long-short annualized return of 88% and a Sharpe ratio registering at 2.46. In stark contrast to conventional data mining techniques, the temporal expenditure requisite for GPT's factor generation is minuscule. It relies on knowledge inference without the need for data input, and it can provide a thorough economic explanation for its factors.

Media sentiment and stock returns

Based on 35,344 news articles published in the Financial Times that cover 40 companies that have been included in the Dow Jones Industrial Average, we find that a negative media sentiment in the form of a negative language tone in news articles is a priced factor in five of nine asset-pricing models that aim to explain the cross-section of stock returns. In particular, the sentiment factor is a priced factor in the market model augmented with the sentiment factor in all three samples—the 2005–09 subsample, the 2010–18 subsample, and the 2005–18 full sample—and in the Fama-French three- and five-factor models augmented with the sentiment factor in the 2010–18 subsample. In addition, factor-spanning regressions with the Fama-French five-factor model as the right-hand-side model confirm that the sentiment factor contributes to the model’s explanation of the stocks’ mean excess returns in the 2005–09 subsample and the 2005–18 full sample.