General Gratitude and Gratitude to God: Associations with Personality and Well-Being.

A growing body of research has focused on distinguishing general forms of gratitude from gratitude to God. We contributed to this area of research by examining correlates of personality traits and meaning in life in a cross-sectional study (N = 1,398). General gratitude was more strongly positively related to honesty-humility, extraversion, conscientiousness, agreeableness, openness, and meaning in life than gratitude to God. Moreover, gratitude to God moderated the positive relationship between general gratitude and meaning in life such that the relationship was stronger at lower than higher levels of gratitude to God. The results suggest that general forms of gratitude may be more important for well-being and positive traits than gratitude to God. General forms of gratitude may be particularly beneficial among less religious people, while gratitude to God may be particularly beneficial for people's well-being among those who are less grateful in general.

A cross-cultural examination of temporal orientation through everyday language on social media.

Past research has shown that culture can form and shape our temporal orientation-the relative emphasis on the past, present, or future. However, there are mixed findings on how temporal orientations vary between North American and East Asian cultures due to the limitations of survey methodology and sampling. In this study, we applied an inductive approach and leveraged big data and natural language processing between two popular social media platforms-Twitter and Weibo-to assess the similarities and differences in temporal orientation in the United States of America and China, respectively. We first established predictive models from annotation data and used them to classify a larger set of English Twitter sentences (NTW = 1,549,136) and a larger set of Chinese Weibo sentences (NWB = 95,181) into four temporal catetories-past, future, atemporal present, and temporal present. Results show that there is no significant difference between Twitter and Weibo on past or future orientations; the large temporal orientation difference between North Americans and Chinese derives from their different prevailing focus on atemporal (e.g., facts, ideas) present (Twitter) or temporal present (e.g., the "here" and "now") (Weibo). Our findings contribute to the debate on cultural differences in temporal orientations with new perspectives following a new methodological approach. The study's implications call for a reevaluation of how temporal orientation is measured in cross-cultural studies, emphasizing the use of large-scale language data and acknowledging the atemporal present category. Understanding temporal orientations can guide effective cross-cultural communication strategies to tailor approaches for different audience based on temporal orientations, enhancing intercultural understanding and engagement.

Character Traits Predict Health and Well-Being beyond Personality.

We examined the incremental validity of character in predicting health outcomes and well-being beyond personality traits and investigated the extent to which health-related behaviors mediate the relationship between character and well-being. Findings indicate that several character cores (e.g., transcendence, fortitude) predict well-being, health behaviors, and health outcomes beyond different measures of personality traits, indicating that character is discriminable from personality as indicated by incremental prediction. In particular, fortitude, temperance, transcendence, and sincerity appear to be key players. Implications for character research are discussed.

The online language of work-personal conflict.

With the blurring of boundaries in this digital age, there is increasing concern around work-personal conflict. Assessing and tracking work-personal conflict is critical as it not only affects individual workers but is also a vital measure among broader well-being and economic indices. This inductive study examines the extent to which work-personal conflict corresponds to individuals' language use on social media. We apply an open-vocabulary analysis to the posts of 2810 Facebook users who also completed a survey for an established work-personal conflict scale. It was found that the language-based model can predict personal-to-work conflict (r = 0.23) and work-to-personal conflict (r = 0.15) and provide important insights into such conflicts. Specifically, we found that high personal-to-work conflict was associated with netspeak and swearing, while low personal-to-work conflict was associated with language about work and positivity. We found that high work-to-personal conflict was associated with negative emotion and negative tone, while low work-to-personal conflict was associated with positive emotion and language about birthdays.

Conceptualizing "positive attributes" across psychological perspectives.

BACKGROUND: The growth of positive psychology has birthed debate on the nature of what "positive" really means. Conceptualizations of positive attributes vary across psychological perspectives, and it appears these definitional differences stem from standards for "positive" espoused by three normative ethical frameworks: consequentialism, deontology, and virtue ethics. When definitions of "positive" do not align with one of these ethical schools, it appears researchers rely on preference to distinguish positive attributes. In either case, issues arise when researchers do not make their theoretical alignment explicit, leading to value-laden, often subjective criteria being smuggled into science as a description of what is positive. OBJECTIVE: To foster a deeper critical understanding of the different approaches, we examine how these conceptual definitions of positive attributes (mis)align with their ethical traditions or fail to align with an ethical school. METHOD: We review several positive attribute theories across psychological disciplines that serve as examples of the ethical and non-ethical sources of "positivity." Through this, we assess the conceptual criteria for what each approach considers "positive," note the degree of alignment between definition and ethical school, and draw attention to potential issues. CONCLUSION: We advance the conceptual assessment of positive attributes by considering the implications of failing to explicitly address the theoretical foundation from which a construct is defined.

On the accuracy, media representation, and public perception of psychological scientists' judgments of societal change.

At the onset of the COVID-19 pandemic, psychological scientists frequently made on-the-record predictions in public media about how individuals and society would change. Such predictions were often made outside these scientists' areas of expertise, with justifications based on intuition, heuristics, and analogical reasoning (Study 1; N = 719 statements). How accurate are these kinds of judgments regarding societal change? In Study 2, we obtained predictions from scientists (N = 717) and lay Americans (N = 394) in Spring 2020 regarding the direction of change for a range of social and psychological phenomena. We compared them to objective data obtained at 6 months and 1 year. To further probe how experience impacts such judgments, 6 months later (Study 3), we obtained retrospective judgments of societal change for the same domains (Nscientists = 270; Nlaypeople = 411). Bayesian analysis suggested greater credibility of the null hypothesis that scientists' judgments were at chance on average for both prospective and retrospective judgments. Moreover, neither domain-general expertise (i.e., judgmental accuracy of scientists compared to laypeople) nor self-identified domain-specific expertise improved accuracy. In a follow-up study on meta-accuracy (Study 4), we show that the public nevertheless expects psychological scientists to make more accurate predictions about individual and societal change compared to most other scientific disciplines, politicians, and nonscientists, and they prefer to follow their recommendations. These findings raise questions about the role psychological scientists could and should play in helping the public and policymakers plan for future events. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Rejoinder to Commentaries on Woo et al. (2022).

In this rejoinder, we discuss several areas of agreement as well as some noteworthy divergence in perspectives that are worth exploring further. We also note a few areas where immediate clarifications may be necessary. Next, we discuss practical solutions and challenges for improving the validity and fairness of graduate admissions. We conclude with a call for intellectual humility and openness in further advancing the field's discussions on this critical topic as well as for authenticity and persistence in effecting real changes to the system.

Bias, Fairness, and Validity in Graduate-School Admissions: A Psychometric Perspective.

As many schools and departments are considering the removal of the Graduate Record Examination (GRE) from their graduate-school admission processes to enhance equity and diversity in higher education, controversies arise. From a psychometric perspective, we see a critical need for clarifying the meanings of measurement "bias" and "fairness" to create common ground for constructive discussions within the field of psychology, higher education, and beyond. We critically evaluate six major sources of information that are widely used to help inform graduate-school admissions decisions: grade point average, personal statements, resumes/curriculum vitae, letters of recommendation, interviews, and GRE. We review empirical research evidence available to date on the validity, bias, and fairness issues associated with each of these admission measures and identify potential issues that have been overlooked in the literature. We conclude by suggesting several directions for practical steps to improve the current admissions decisions and highlighting areas in which future research would be beneficial.

Needs-based off-job crafting across different life domains and contexts: Testing a novel conceptual and measurement approach.

Shaping off-job life is becoming increasingly important for workers to increase and maintain their optimal functioning (i.e., feeling and performing well). Proactively shaping the job domain (referred to as job crafting) has been extensively studied, but crafting in the off-job domain has received markedly less research attention. Based on the Integrative Needs Model of Crafting, needs-based off-job crafting is defined as workers' proactive and self-initiated changes in their off-job lives, which target psychological needs satisfaction. Off-job crafting is posited as a possible means for workers to fulfill their needs and enhance well-being and performance over time. We developed a new scale to measure off-job crafting and examined its relationships to optimal functioning in different work contexts in different regions around the world (the United States, Germany, Austria, Switzerland, Finland, Japan, and the United Kingdom). Furthermore, we examined the criterion, convergent, incremental, discriminant, and structural validity evidence of the Needs-based Off-job Crafting Scale using multiple methods (longitudinal and cross-sectional survey studies, an "example generation"-task). The results showed that off-job crafting was related to optimal functioning over time, especially in the off-job domain but also in the job domain. Moreover, the novel off-job crafting scale had good convergent and discriminant validity, internal consistency, and test-retest reliability. To conclude, our series of studies in various countries show that off-job crafting can enhance optimal functioning in different life domains and support people in performing their duties sustainably. Therefore, shaping off-job life may be beneficial in an intensified and continually changing and challenging working life.

Automated video interview personality assessments: Reliability, validity, and generalizability investigations.

Organizations are increasingly adopting automated video interviews (AVIs) to screen job applicants despite a paucity of research on their reliability, validity, and generalizability. In this study, we address this gap by developing AVIs that use verbal, paraverbal, and nonverbal behaviors extracted from video interviews to assess Big Five personality traits. We developed and validated machine learning models within (using nested cross-validation) and across three separate samples of mock video interviews (total N = 1,073). Also, we examined their test-retest reliability in a fourth sample (N = 99). In general, we found that the AVI personality assessments exhibited stronger evidence of validity when they were trained on interviewer-reports rather than self-reports. When cross-validated in the other samples, AVI personality assessments trained on interviewer-reports had mixed evidence of reliability, exhibited consistent convergent and discriminant relations, used predictors that appear to be conceptually relevant to the focal traits, and predicted academic outcomes. On the other hand, there was little evidence of reliability or validity for the AVIs trained on self-reports. We discuss the implications for future work on AVIs and personality theory, and provide practical recommendations for the vendors marketing such approaches and organizations considering adopting them. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Head versus heart: social media reveals differential language of loneliness from depression.

We study the language differentially associated with loneliness and depression using 3.4-million Facebook posts from 2986 individuals, and uncover the statistical associations of survey-based depression and loneliness with both dictionary-based (Linguistic Inquiry Word Count 2015) and open-vocabulary linguistic features (words, phrases, and topics). Loneliness and depression were found to have highly overlapping language profiles, including sickness, pain, and negative emotions as (cross-sectional) risk factors, and social relationships and activities as protective factors. Compared to depression, the language associated with loneliness reflects a stronger cognitive focus, including more references to cognitive processes (i.e., differentiation and tentative language, thoughts, and the observation of irregularities), and cognitive activities like reading and writing. As might be expected, less lonely users were more likely to reference social relationships (e.g., friends and family, romantic relationships), and use first-person plural pronouns. Our findings suggest that the mechanisms of loneliness include self-oriented cognitive activities (i.e., reading) and an overattention to the interpretation of information in the environment. These data-driven ecological findings suggest interventions for loneliness that target maladaptive social cognitions (e.g., through reframing the perception of social environments), strengthen social relationships, and treat other affective distress (i.e., depression).

A Review of Key Likert Scale Development Advances: 1995-2019.

Developing self-report Likert scales is an essential part of modern psychology. However, it is hard for psychologists to remain apprised of best practices as methodological developments accumulate. To address this, this current paper offers a selective review of advances in Likert scale development that have occurred over the past 25 years. We reviewed six major measurement journals (e.g., Psychological Methods, Educational, and Psychological Measurement) between the years 1995-2019 and identified key advances, ultimately including 40 papers and offering written summaries of each. We supplemented this review with an in-depth discussion of five particular advances: (1) conceptions of construct validity, (2) creating better construct definitions, (3) readability tests for generating items, (4) alternative measures of precision [e.g., coefficient omega and item response theory (IRT) information], and (5) ant colony optimization (ACO) for creating short forms. The Supplementary Material provides further technical details on these advances and offers guidance on software implementation. This paper is intended to be a resource for psychological researchers to be informed about more recent psychometric progress in Likert scale creation.

From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM).

This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data. Drawing on econometrics and other literatures we illustrate the use of informative "shrinkage" or "small variance" priors (including so-called "Minnesota priors") while extending prior work on the general cross-lagged panel model (GCLM). Using a panel dataset of national income and subjective well-being (SWB) we describe three key benefits of these priors. First, they shrink parameter estimates toward zero or toward each other for time-varying parameters, which lends additional support for an income → SWB effect that is not supported with maximum likelihood (ML). This is useful because, second, these priors increase model parsimony and the stability of estimates (keeping them within more reasonable bounds) and thus improve out-of-sample predictions and interpretability, which means estimated effect should also be more trustworthy than under ML. Third, these priors allow estimating otherwise under-identified models under ML, allowing higher-order lagged effects and time-varying parameters that are otherwise impossible to estimate using observed data alone. In conclusion we note some of the responsibilities that come with the use of priors which, departing from typical commentaries on their scientific applications, we describe as involving reflection on how best to apply modeling tools to address matters of worldly concern.

Life Satisfaction and Subsequent Physical, Behavioral, and Psychosocial Health in Older Adults.

Policy Points Several intergovernmental organizations (Organisation for Economic Co-operation and Development, World Health Organization, United Nations) are urging countries to use well-being indicators (e.g., life satisfaction) in addition to traditional economic indicators when making important policy decisions. As the number of governments implementing this new approach grows, so does the need to continue evaluating the health and well-being outcomes we might observe from policies aimed at improving life satisfaction. The results of this study suggest that life satisfaction is a valuable target for policies aiming to enhance several indicators of psychosocial well-being, health behaviors, and physical health outcomes. CONTEXT: Several intergovernmental organizations (Organisation for Economic Co-operation and Development, World Health Organization, United Nations) are urging countries to use well-being indicators (e.g., life satisfaction) in addition to traditional economic indicators when making important policy decisions. As the number of governments implementing this new approach grows, so does the need to continue evaluating the health and well-being outcomes we might observe from policies aimed at improving life satisfaction. METHODS: We evaluated whether positive change in life satisfaction (between t0 ;2006/2008 and t1 ;2010/2012) was associated with better outcomes on 35 indicators of physical, behavioral, and psychosocial health and well-being (in t2 ;2014/2016). Data were from 12,998 participants in the University of Michigan's Health and Retirement Study-a prospective and nationally representative cohort of US adults over age 50. FINDINGS: Participants with the highest (versus lowest) life satisfaction had better subsequent outcomes on some physical health indicators (lower risk of pain, physical functioning limitations, and mortality; lower number of chronic conditions; and higher self-rated health) and health behaviors (lower risk of sleep problems and more frequent physical activity), and nearly all psychosocial indicators (higher positive affect, optimism, purpose in life, mastery, health mastery, financial mastery, and likelihood of living with spouse/partner; and lower depression, depressive symptoms, hopelessness, negative affect, perceived constraints, and loneliness) over the 4-year follow-up period. However, life satisfaction was not subsequently associated with many specific health conditions (i.e., diabetes, hypertension, stroke, cancer, heart disease, lung disease, arthritis, overweight/obesity, or cognitive impairment), other health behaviors (i.e., binge drinking or smoking), or frequency of contact with children, family, or friends. CONCLUSIONS: These results suggest that life satisfaction is a valuable target for policies aiming to enhance several indicators of psychosocial well-being, health behaviors, and physical health outcomes.

A Social Media Study on Demographic Differences in Perceived Job Satisfaction.

Effective ways to measure employee job satisfaction are fraught with problems of scale, misrepresentation, and timeliness. Current methodologies are limited in capturing subjective differences in expectations, needs, and values at work, and they do not lay emphasis on demographic differences, which may impact people's perceptions of job satisfaction. This study proposes an approach to assess job satisfaction by leveraging large-scale social media data. Starting with an initial Twitter dataset of 1.5M posts, we examine two facets of job satisfaction, pay and supervision. By adopting a theory-driven approach, we first build machine learning classifiers to assess perceived job satisfaction with an average AUC of 0.84. We then study demographic differences in perceived job satisfaction by geography, sex, and race in the U.S. For geography, we find that job satisfaction on Twitter exhibits insightful relationships with macroeconomic indicators such as financial wellbeing and unemployment rates. For sex and race, we find that females express greater pay satisfaction but lower supervision satisfaction than males, whereas Whites express the least pay and supervision satisfaction. Unpacking linguistic differences, we find contrasts in different groups' underlying priorities and concerns, e.g., under-represented groups saliently express about basic livelihood, whereas the majority groups saliently express about self-actualization. We discuss the role of frame of reference and the "job satisfaction paradox", conceptualized by organizational psychologists, in explaining our observed differences. We conclude with theoretical and sociotechnical implications of our work for understanding and improving worker wellbeing.

The Development and Validation of a Multidimensional Forced-Choice Format Character Measure: Testing the Thurstonian IRT Approach.

There has been reemerging interest within psychology in the construct of character, yet assessing it can be difficult due to social desirability of character traits. Forced-choice formats offer one way to address response bias, but traditional scoring methods (i.e., ipsative) associated with this format makes comparing scores between people problematic. Nevertheless, recent advances in modeling item responding (Thurstonian IRT) enable scoring that recovers absolute standing on latent traits and allows for score comparisons between people. Based on recent work in character measurement (CIVIC), we developed a multidimensional forced-choice measure of character (CIVIC-MFC) and scored it using Thurstonian IRT. Initial validation using a sample of 798 participants demonstrated good support for factorial, convergent, and concurrent validity for scores on the CIVIC-MFC, although they did not demonstrate more faking resistance than scores on a Likert-type format version. Potential explanations are discussed.

The impact of the Syrian conflict on population well-being.

The United Nations described the Syrian conflict as the worst man-made disaster since World War II. We adopted a global perspective in examining the impact of the Syrian conflict on Syrians' physical, mental, and social well-being using the Gallup World Poll. Face-to-face interview data of 11,452 Syrian participants from 2008 to 2015 show that Syrians' physical (e.g., access to shelter), mental (e.g., life satisfaction), and social (e.g., social support) well-being decline substantially. Syrians who reported being exposed to the conflict are similarly affected compared to those without direct exposure, suggesting country-wide spillover effects. Global data covering 1.7 million participants across 163 countries from 2006 to 2016 show during the conflict, Syria's precipitous decline in well-being is unparalleled in the world, even when compared to countries similarly experiencing war, protests, and disasters. Our findings reinforce the vital importance of an accelerated peace process to restore well-being in Syria.

Do differences between individuals who are healthy weight or overweight on self-report measures of disinhibited eating and restrained eating reflect reality or item "bias"?

In light of increasing rates of overweight and obesity worldwide, there is a critical need for accurate self-report measures of disinhibited and restrained eating behaviors across the weight spectrum. Item response theory was used to determine whether differences in disinhibited and restrained eating between healthy weight and overweight or obese individuals were due to item bias (i.e., differential item functioning). Study 1 participants were healthy weight (n = 510) or overweight or obese (n = 304) adults recruited from the community. Study 2 participants were healthy weight (n = 778) or overweight or obese (n = 320) college students. Study 1 participants completed the Eating Disorder Examination-Questionnaire (EDE-Q), Eating Disorder Inventory-3, Dutch Eating Behaviors Questionnaire, Restraint Scale, and Three-Factor Eating Questionnaire. Study 2 participants completed the Eating Pathology Symptoms Inventory (EPSI). Items on the Restraint Scale demonstrated the most evidence for bias (60% of items), whereas the majority of other scales demonstrated low to moderate levels of item bias (17-38% of items). However, EDE-Q Restraint and EPSI Binge Eating, Cognitive Restraint, Excessive Exercise, Muscle Building, and Negative Attitudes Toward Obesity scales did not show any evidence of differential item functioning among weight groups. Participants with the same level of disordered eating responded differently to certain eating disorder self-report items due to weight-bias, rather than true between-groups differences. Nevertheless, EDE-Q Restraint, EPSI Cognitive Restraint, and EPSI Binge Eating did not exhibit any evidence of bias and are ideal for assessing restrained and disinhibited eating across the weight spectrum in both research and clinical settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).