Showing papers on "Big Five personality traits published in 2020"

Personality and prosocial behavior: A theoretical framework and meta-analysis.

Abstract: Decades of research document individual differences in prosocial behavior using controlled experiments that model social interactions in situations of interdependence. However, theoretical and empirical integration of the vast literature on the predictive validity of personality traits to account for these individual differences is missing. Here, we present a theoretical framework that identifies 4 broad situational affordances across interdependent situations (i.e., exploitation, reciprocity, temporal conflict, and dependence under uncertainty) and more specific subaffordances within certain types of interdependent situations (e.g., possibility to increase equality in outcomes) that can determine when, which, and how personality traits should be expressed in prosocial behavior. To test this framework, we meta-analyzed 770 studies reporting on 3,523 effects of 8 broad and 43 narrow personality traits on prosocial behavior in interdependent situations modeled in 6 commonly studied economic games (Dictator Game, Ultimatum Game, Trust Game, Prisoner's Dilemma, Public Goods Game, and Commons Dilemma). Overall, meta-analytic correlations ranged between -.18 ≤ ρ ≤ .26, and most traits yielding a significant relation to prosocial behavior had conceptual links to the affordances provided in interdependent situations, most prominently the possibility for exploitation. Moreover, for several traits, correlations within games followed the predicted pattern derived from a theoretical analysis of affordances. On the level of traits, we found that narrow and broad traits alike can account for prosocial behavior, informing the bandwidth-fidelity problem. In sum, the meta-analysis provides a theoretical foundation that can guide future research on prosocial behavior and advance our understanding of individual differences in human prosociality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Predicting psychological and subjective well-being from personality: A meta-analysis.

Abstract: This study reports the most comprehensive assessment to date of the relations that the domains and facets of Big Five and HEXACO personality have with self-reported subjective well-being (SWB: life satisfaction, positive affect, and negative affect) and psychological well-being (PWB: positive relations, autonomy, environmental mastery, purpose in life, self-acceptance, and personal growth). It presents a meta-analysis (n = 334,567, k = 462) of the correlations of Big Five and HEXACO personality domains with the dimensions of SWB and PWB. It provides the first meta-analysis of personality and well-being to examine (a) HEXACO personality, (b) PWB dimensions, and (c) a broad range of established Big Five measures. It also provides the first robust synthesis of facet-level correlations and incremental prediction by facets over domains in relation to SWB and PWB using 4 large data sets comprising data from prominent, long-form hierarchical personality frameworks: NEO PI-R (n = 1,673), IPIP-NEO (n = 903), HEXACO PI-R (n = 465), and Big Five Aspect Scales (n = 706). Meta-analytic results highlighted the importance of Big Five neuroticism, extraversion, and conscientiousness. The pattern of correlations between Big Five personality and SWB was similar across personality measures (e.g., BFI, NEO, IPIP, BFAS, Adjectives). In the HEXACO model, extraversion was the strongest well-being correlate. Facet-level analyses provided a richer description of the relationship between personality and well-being, and clarified differences between the two trait frameworks. Prediction by facets was typically around 20% better than domains, and this incremental prediction was larger for some well-being dimensions than others. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Uses and gratifications of problematic social media use among university students: a simultaneous examination of the big five of personality traits, social media platforms, and social media use motives

Abstract: Recent studies suggest that users’ preferences of social media use differ according to their individual differences and use motives, and that these factors can lead to problematic social media use (PSMU) among a minority of users. The objectives of the present study were to investigate the influences of (i) demographics and Big Five personality dimensions on social media use motives; (ii) demographics and use motives on social media site preferences; and (iii) demographics, personality, popular social media sites, and social media use motives on PSMU. The sample comprised 1008 undergraduate students, aged between 17 and 32 years (M = 20.49, SD = 1.73; 60.5% women). The participants completed a questionnaire comprising the Social Media Use Questionnaire, Social Media Usage Aims Scale, and Ten-Item Personality Inventory. Multiple linear and hierarchical regression analyses showed that social media use motives of (i) meeting new people and socializing, (ii) expressing or presenting a more popular self, and (iii) passing time and entertainment were associated with problematic social media use. Moreover, participants that preferred Instagram, Snapchat, and Facebook reported higher scores of problematic social media use. Finally, being female, introverted, conscientious, agreeable, and neurotic were associated with PSMU. The findings offer empirical evidence for uses and gratifications theory because the findings demonstrated that (i) different personality traits predict different motives, (ii) different motives predict preference of different platforms, and (iii) different individual differences such as personality, preference of platform, and specific use motives predict PSMU.

Personality Traits, Risk Perception, and Protective Behaviors of Arab Residents of Qatar During the COVID-19 Pandemic.

Abstract: During the 2020 COVID-19 pandemic, people in Qatar-similar to most countries globally-were instructed by health authorities to adopt protective behaviors to avoid infection. One of these behaviors is social distancing, which is influenced by diverse variables. Using data from an online survey with 405 responses, this study performed multiple regression analysis to explore effects of personality, risk perception, and personal hygiene practices on social distancing among residents of Qatar. The results showed that 87.3% of participants reported that they preferred to stay at home and not go outside unless necessary, 60.3% said that they maintain an adequate distance when communicating with others, 68.6% reported that they do not allow relatives and friends to visit them at home, 73.5% believed that COVID-19 is a dangerous disease, and 95.8% reported that they embrace personal hygiene practices and washing hands. Furthermore, multiple regression analysis showed that conscientiousness, neuroticism, risk perception, and personal hygiene practices predicted social distancing, with moderate effect sizes. Gender differences were also found in social distancing practices, indicating that women reported higher engagement in social distancing practices than men. These results highlighted the importance of individual differences in reacting to the COVID-19 pandemic and provide important information about the predictors of social distancing practices.

Personality differences and COVID-19: are extroversion and conscientiousness personality traits associated with engagement with containment measures?

Abstract: Introduction In December 2019, an outbreak of the novel coronavirus, the coronavirus disease 2019 (COVID-19) probably occurred in Wuhan, China. By March 2020, the World Health Organization (WHO) had declared a pandemic. Containment measures such as social distancing and hand hygiene were recommended. In this study, we start from the hypothesis that engaging with containment measures in a pandemic situation should be more comfortable for some people than for other people. Thus, individual differences should be associated with engagement with containment measures. Objective To investigate to what extent two personality traits, extroversion and conscientiousness, are associated with engagement with two containment measures (social distancing and handwashing). Methods The sample consisted of 715 Brazilian adults aged 18-78 years, who answered the Big Five Inventory 2 Short (BFI-2-S) and factors from the Dimensional Clinical Personality Inventory 2 (IDCP-2). Results Higher scores for extroversion were associated with lower means for social distancing (p < 0.001) and higher scores for conscientiousness were associated with higher means for social distancing and handwashing (p < 0.05). Conclusion The findings indicate the importance of acknowledging extroversion and conscientiousness traits as relevant to people's engagement with the measures recommended for COVID-19 containment.

Japanese citizens' behavioral changes and preparedness against COVID-19: An online survey during the early phase of the pandemic.

Abstract: The Japanese government instituted countermeasures against COVID-19, a pneumonia caused by the new coronavirus, in January 2020. Seeking "people's behavioral changes," in which the government called on the public to take precautionary measures or exercise self-restraint, was one of the important strategies. The purpose of this study is to investigate how and from when Japanese citizens have changed their precautionary behavior under circumstances in which the government has only requested their cooperation. This study uses micro data from a cross-sectional survey conducted on an online platform of an online research company, based on quota sampling that is representative of the Japanese population. By the end of March 2020, a total of 11,342 respondents, aged from 20 to 64 years, were recruited. About 85 percent reported practising the social distancing measures recommended by the government including more females than males and more older than younger participants. Frequent handwashing is conducted by 86 percent of all participants, 92 percent of female, and 87.9 percent of over-40 participants. The most important event influencing these precautionary actions was the infection aboard the Diamond Princess cruise ship, which occurred in early February 2020 (23 percent). Information from the central and local governments, received by 60 percent of the participants, was deemed trustworthy by 50 percent. However, the results also showed that about 20 percent of the participants were reluctant to implement proper prevention measures. The statistical analysis indicated that the typical characteristics of those people were male, younger (under 30 years old), unmarried, from lower-income households, a drinking or smoking habit, and a higher extraversion score. To prevent the spread of infection in Japan, it is imperative to address these individuals and encourage their behavioural changes using various means to reach and influence them.

Recent trends in deep learning based personality detection

Abstract: Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic within the field of affective computing. In this paper, we review significant machine learning models which have been employed for personality detection, with an emphasis on deep learning-based methods. This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches. Personality detection is a very broad and diverse topic: this survey only focuses on computational approaches and leaves out psychological studies on personality detection.

Loneliness and the Big Five Personality Traits: A Meta–Analysis:

Abstract: This preregistered meta–analysis (k = 113, total n = 93 668) addressed how the Big Five dimensions of personality (extraversion, agreeableness, conscientiousness, neuroticism, and openness) are rel...

The better-than-average effect in comparative self-evaluation: A comprehensive review and meta-analysis.

Abstract: The better-than-average-effect (BTAE) is the tendency for people to perceive their abilities, attributes, and personality traits as superior compared with their average peer. This article offers a comprehensive review of the BTAE and the first quantitative synthesis of the BTAE literature. We define the effect, differentiate it from related phenomena, and describe relevant methodological approaches, theories, and psychological mechanisms. Next, we present a comprehensive meta-analysis of BTAE studies, including data from 124 published articles, 291 independent samples, and more than 950,000 participants. Results indicated that the BTAE is robust across studies (dz = 0.78, 95% CI [0.71, 0.84]), with little evidence of publication bias. Further, moderation tests suggested that the BTAE is larger in the case of personality traits than abilities, positive as opposed to negative dimensions, and in studies that (a) use the direct rather than the indirect method, (b) involve many rather than few dimensions, (c) sample European Americans rather than East-Asians (especially for individualistic traits), and (d) counterbalance self and average peer judgments. Finally, the BTAE is moderately associated with self-esteem (r = .34) and life satisfaction (r = .33). Results from selection model analyses clarify areas of the BTAE literature in which publication bias may be of elevated concern. Discussion highlights theoretical and empirical implications. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

The Nomological Net of the HEXACO Model of Personality: A Large-Scale Meta-Analytic Investigation.

Abstract: Based on lexical studies, the HEXACO (honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness to experience) model of personality has been proposed as a model of basic personality structure that summarizes individual differences in six broad trait dimensions. Although research across various fields relies on the HEXACO model increasingly, a comprehensive investigation of the nomological net of the HEXACO dimensions is missing entirely. Thus, it remains unclear whether each HEXACO dimension accounts for individual variation across theoretically relevant outcome criteria. We close this gap through a large-scale meta-analytic investigation, testing whether each HEXACO dimension is uniquely linked to one broad and theoretically relevant outcome domain. Results from 426 individual meta-analyses, 436 independent samples, and 3,893 effect-size estimates corroborate this unique mapping. Specifically, honesty-humility maps onto the outcome domain of exploitation, emotionality onto insecurity, extraversion onto sociality, agreeableness versus anger onto obstruction, conscientiousness onto duty, and openness to experience onto exploration. Overall, the current investigation provides a comprehensive empirical test of the (breadth of) content captured by the HEXACO dimensions and allows for a broad specification of the nomological net of the HEXACO model overall.

Objections to the HEXACO Model of Personality Structure—and why those Objections Fail:

Abstract: The six–dimensional HEXACO model of personality structure and its associated inventory have increasingly been used in personality research. But in spite of the evidence supporting this structure an...

The impact of gamification on students’ learning, engagement and behavior based on their personality traits

Abstract: The gamification of education can enhance levels of students’ engagement similar to what games can do, to improve their particular skills and optimize their learning. On the other hand, scientific studies have shown adverse outcomes based on the user’s preferences. The link among the user’s characteristics, executed actions, and the game elements is still an open question. Aiming to find some insights for this issue, we have investigated the effects of gamification on students’ learning, behavior, and engagement based on their personality traits in a web-based programming learning environment. We have conducted an experiment for four months with 40 undergraduate students of first-year courses on programming. Students were randomly assigned to one of the two versions of the programming learning environment: a gamified version composed of ranking, points, and badges and the original non-gamified version. We have found evidence that gamification affected users in distinct ways based on their personality traits. Our results indicate that the effect of gamification depends on the specific characteristics of users. First part title: Studying the impact of gamification on learning and engagement based on the personality traits of students

Determinant factors of entrepreneurial intention among university students in Brazil and Portugal

Abstract: This article aims to assess how personality traits, training and entrepreneurial education, social recognition, self-efficacy and entrepreneurial attitude influence entrepreneurial intention to cre...

Mentality and behavior in COVID-19 emergency status in Japan: Influence of personality, morality and ideology.

Abstract: The COVID-19 pandemic began in December 2019 and severely influenced society. In response, the Japanese government declared a state of emergency on 7th April in seven prefectures. The study conducted an immediate survey on 8th April to record the response of the general public to the first emergency status due to epidemics. The study hypothesized that personality traits, moral foundation, and political ideology can influence people's mentality, cognition, and behavior toward COVID-19. Based on a nationwide dataset of 1856 respondents (male = 56.3%, Mage = 46.7, emergency regions = 49.9%), the study found that personality, morality, and ideology altered mental health status and motivated behaviors toward COVID-19. Neuroticism and avoiding harm involved cognition and behavior through various means. The study also found significant differences among demographic groups. Results are informative and contributive to the governance and management of, and aid for, individual responses to the COVID-19 pandemic.

Big Five and HEXACO Personality Traits, Proenvironmental Attitudes, and Behaviors: A Meta-Analysis:

Abstract: With climate change and its consequences believed to be among the most vital challenges for humanity and the Earth's ecosystem, it is important to understand why individuals do or do not adopt proenvironmental attitudes and behaviors. Personality traits are well suited for this purpose. Because no recent work has systematically combined the accumulating evidence on this topic, we aimed to meta-analyze the associations of the Big Five and HEXACO personality domains with proenvironmental attitudes and behaviors. A meta-analysis of 38 sources (N = 44,993) implicated openness and honesty-humility as the strongest correlates of proenvironmental attitudes (r = .22 and .20) and behaviors (r = .21 and .25). Agreeableness, conscientiousness, and, to a lesser extent, extraversion were also associated with proenvironmental attitudes (r = .15, .12, and .09) and behaviors (r = .10, .11, and .10). Heterogeneity among effect sizes was partly explained by samples' gender ratio, age, and country of origin and by the personality model. P-curve analyses, funnel plots, and Egger's tests indicated significant but sporadic and small publication bias. As a validity test, the meta-analytic associations collectively provided substantial predictive accuracy for proenvironmental attitudes (r = .44-.45) and behaviors (r = .28-.43) in independent holdout samples.

Why do people spread false information online? The effects of message and viewer characteristics on self-reported likelihood of sharing social media disinformation.

Abstract: Individuals who encounter false information on social media may actively spread it further, by sharing or otherwise engaging with it. Much of the spread of disinformation can thus be attributed to human action. Four studies (total N = 2,634) explored the effect of message attributes (authoritativeness of source, consensus indicators), viewer characteristics (digital literacy, personality, and demographic variables) and their interaction (consistency between message and recipient beliefs) on self-reported likelihood of spreading examples of disinformation. Participants also reported whether they had shared real-world disinformation in the past. Reported likelihood of sharing was not influenced by authoritativeness of the source of the material, nor indicators of how many other people had previously engaged with it. Participants' level of digital literacy had little effect on their responses. The people reporting the greatest likelihood of sharing disinformation were those who thought it likely to be true, or who had pre-existing attitudes consistent with it. They were likely to have previous familiarity with the materials. Across the four studies, personality (lower Agreeableness and Conscientiousness, higher Extraversion and Neuroticism) and demographic variables (male gender, lower age and lower education) were weakly and inconsistently associated with self-reported likelihood of sharing. These findings have implications for strategies more or less likely to work in countering disinformation in social media.

Trajectories of Big Five Personality Traits: A Coordinated Analysis of 16 Longitudinal Samples

Abstract: This study assessed change in self-reported Big Five personality traits. We conducted a coordinated integrative data analysis using data from 16 longitudinal samples, comprising a total sample of over 60 000 participants. We coordinated models across multiple datasets and fit identical multi-level growth models to assess and compare the extent of trait change over time. Quadratic change was assessed in a subset of samples with four or more measurement occasions. Across studies, the linear trajectory models revealed declines in conscientiousness, extraversion, and openness. Non-linear models suggested late-life increases in neuroticism. Meta-analytic summaries indicated that the fixed effects of personality change are somewhat heterogeneous and that the variability in trait change is partially explained by sample age, country of origin, and personality measurement method. We also found mixed evidence for predictors of change, specifically for sex and baseline age. This study demonstrates the importance of coordinated conceptual replications for accelerating the accumulation of robust and reliable findings in the lifespan developmental psychological sciences.

Demographic, personality, and social cognition correlates of coronavirus guideline adherence in a U.S. sample.

Abstract: OBJECTIVE: The present study examined patterns and psychosocial correlates of coronavirus guideline adherence in a U.S. sample (N = 500) during the initial 15-day period advocated by the White House Coronavirus Task Force. METHOD: Descriptive and correlational analyses were used to examine the frequency of past 7-day adherence to each of 10 guidelines, as well as overall adherence. Guided by a disposition-belief-motivation model of health behavior, path analyses tested associations of personality traits and demographic factors to overall adherence via perceived norms, perceived control, attitudes, and self-efficacy related to guideline adherence, as well as perceived exposure risk and perceived health consequence if exposed. RESULTS: Adherence ranged from 94.4% reporting always avoiding eating/drinking inside bars/restaurants/food courts to 13.6% reporting always avoiding touching one's face. Modeling showed total associations with overall adherence for greater conscientiousness (s = .191, p < .001), openness (s = .098, p < .05), perceptions of social endorsement (s = .202, p < .001), positive attitudes (s = .105, p < .05), self-efficacy (s = .234, p < .001), and the presence versus absence or uncertainty of a shelter-in-place order (s = .102, p < .01). Age, self-rated health, sex, education, income, children in the household, agreeableness, extraversion, neuroticism, perceived exposure risk, and perceived health consequence showed null-to-negligible associations with overall adherence. CONCLUSIONS: The results clarify adherence frequency, highlight characteristics associated with greater adherence, and suggest the need to strengthen the social contract between government and citizenry by clearly communicating adherence benefits, costs, and timelines. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Using a Personality-Profiling Algorithm to Investigate Political Microtargeting: Assessing the Persuasion Effects of Personality-Tailored Ads on Social Media:

Abstract: Political advertisers have access to increasingly sophisticated microtargeting techniques. One such technique is tailoring ads to the personality traits of citizens. Questions have been raised abou...

Consistency and change in idiographic personality: A longitudinal ESM network study.

Abstract: The study of personality development primarily focuses on between-person, nomothetic assessments of personality using assessments of personality traits. An alternative approach uses individual, idiographic personality assessment, defining personality in reference to one's self rather than to others. Nomothetic approaches to personality development identify high levels of consistency in personality, even over decades. But the developmental pattern of idiographic personality is unclear, partially due to difficulties in assessing personality idiographically. We examine a number of traditional and novel idiographic modeling techniques using 2 years of ESM data from the Personality and Interpersonal Roles Study (PAIRS; N = 372 participants, total assessments N = 17,715). We computed idiographic lagged (lag 1 autoregressive) and contemporaneous (concurrent) graphical VAR models, as well as several other idiographic models, for each subject at the individual level at both waves, which are represented as networks. The utility and interpretation of these newer idiographic personality models at an individual level is demonstrated by using two example subjects. Across all participants, idiographic personality models were heterogeneous in structure, indicating the value of an idiographic approach. Contemporaneous, but not lagged, idiographic models were consistent over time. Despite normative levels of consistency, both types of idiographic models exhibited a great range of individual differences in consistency where some people were completely stable across two years whereas others were very unlike their former selves. In sum, we demonstrate that novel idiographic modeling techniques provide a useful tool to address questions of personality dynamics that were not possible with more traditional idiographic assessments. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Longitudinal experience-wide association studies: A framework for studying personality change

Abstract: The importance of personality for predicting life outcomes in the domains of love, work, and health is well established, as is evidence that personality traits, while relatively stable, can change....

Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents.

Abstract: Adolescents' addictive use of social media and the internet is an increasing concern among parents, teachers, researchers and society. The purpose was to examine the contribution of body self-esteem, personality traits, and demographic factors in the prediction of adolescents' addictive use of social media and the internet. The participants were 447 Spanish adolescents aged 13-16 years (M = 14.90, SD = 0.81, 56.2% women). We measured gender, age, body self-esteem (body satisfaction and physical attractiveness), personality traits (extraversion, neuroticism, disinhibition and narcissism) and social networking and internet addiction (internet addiction symptoms, social media use, geek behaviour, and nomophobia). The effects of gender, age, body self-esteem and personality on the different dimensions of internet addiction were estimated, conducting hierarchical linear multiple regression analysis and a fuzzy-set qualitative comparative analysis (fsQCA). The results evidenced different pathways explaining four types of adolescents' internet addiction: gender and disinhibition were the most relevant predictors of addiction symptoms; gender combined with physical attractiveness best explained social media use; narcissism and neuroticism appear to be the most relevant predictors of geek behaviour; and narcissism was the variable that best explained nomophobia. Furthermore, the advantages and differences between both methodologies (regressions vs. QCA) were discussed.

CEO Bright and Dark Personality: Effects on Ethical Misconduct

Abstract: In recent years, misconduct by CEOs has led to firings, scandals, and financial losses for companies. Our study explores personality antecedents of CEO misconduct using Five-Factor Model personality traits and personality disorder profile similarity indices. The sample of 259 CEOs used in the analysis includes CEOs who were involved in well-publicized misconduct scandals as well as CEOs who had no misconduct scandals. Teams of trained raters measured CEO personality using psychometric personality rating scales and video-based assessment methods. Logistic regression results provided some support for hypotheses regarding relationships between ethical misconduct, fraud, excessive risk taking, and sexual misconduct and personality traits including “Big Five” traits and personality disorder profile similarity indices.

Personality, cognitive ability, and academic performance: Differential associations across school subjects and school tracks.

Abstract: Aim Personality traits and cognitive ability are well-established predictors of academic performance. Yet, how consistent and generalizable are the associations between personality, cognitive ability, and performance? Building on theoretical arguments that trait-performance relations should vary depending on the demands and opportunities for trait expression in the learning environment, we investigated whether the associations of personality (Big Five) and cognitive ability (fluid intelligence) with academic performance (grades and tests scores) vary across school subjects (German and math) and across ability-grouped school tracks (academic, intermediate, and vocational). Method Multiple group structural equation models in a large representative sample of ninth-grade students (N = 12,915) from the German National Educational Panel Study (NEPS). Results Differential associations across school subjects emerged for cognitive ability, Emotional Stability, and Conscientiousness (math > German); and for Openness and Extraversion (German > math). Differential associations across school tracks emerged for cognitive ability, Conscientiousness (academic > intermediate > vocational) and Agreeableness (academic > intermediate > vocational). Personality traits explained more variation in academic performance in the academic than in the other tracks. Conclusion Most trait-performance relations varied across subjects, tracks, or both. These findings highlight the need for more nuanced and context-minded perspective on trait-performance relations.

Personality traits and emotion regulation: A targeted review and recommendations.

Abstract: Where do individual differences in emotion regulation come from? This review examines theoretical and empirical evidence describing the role that personality traits play in shaping individuals' intrapersonal and interpersonal regulation styles. We define and delineate personality traits and emotion regulation and summarize empirical relations between them. Specifically, we review research on the Big Five personality traits in relation to each stage of Gross' (2015) extended process model of emotion regulation. In doing so, we document evidence concerning the relationships between personality traits and three key stages of emotion regulation, namely, identification (i.e., choosing which emotions to regulate), selection (i.e., choosing a broad regulatory approach), and implementation (i.e., adopting specific regulatory tactics). Finally, we make recommendations for future research that we hope will guide researchers in building a systematic understanding of how personality traits shape intrapersonal and interpersonal emotion regulation. (PsycINFO Database Record (c) 2020 APA, all rights reserved).