Publications by authors named "Louis Tay"

Organizations, researchers, and software increasingly use automatic speech recognition (ASR) to transcribe speech to text. However, ASR can be less accurate for (i.e.

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Automated video interviews (AVIs) that use machine learning (ML) algorithms to assess interviewees are increasingly popular. Extending prior AVI research focusing on noncognitive constructs, the present study critically evaluates the possibility of assessing cognitive ability with AVIs. By developing and examining AVI ML models trained to predict measures of three cognitive ability constructs (i.

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Two research streams on responses to Likert-type items have been developing in parallel: (a) unfolding models and (b) individual response styles (RSs). To accurately understand Likert-type item responding, it is vital to parse unfolding responses from RSs. Therefore, we propose the Unfolding Item Response Tree (UIRTree) model.

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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 ( = 1,398). General gratitude was more strongly positively related to honesty-humility, extraversion, conscientiousness, agreeableness, openness, and meaning in life than gratitude to God.

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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.

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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.

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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.

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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; = 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 ( = 394) in Spring 2020 regarding the direction of change for a range of social and psychological phenomena.

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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.

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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.

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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.

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Shaping off-job life is becoming increasingly important for workers to increase and maintain their optimal functioning (i.e., feeling and performing well).

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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.

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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.

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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 = 1,073).

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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.

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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.

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Unlabelled: 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.

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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.

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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.

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In recent years, there has been heightened interest in the active role of employees in shaping activities and experiences in their pursuit of optimal functioning (i.e., feeling and performing well), referred to as job-, leisure-, home-, and work-life balance crafting.

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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.

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Using representative cross-sections from 166 nations (more than 1.7 million respondents), we examined differences in three measures of subjective well-being over the life span. Globally, and in the individual regions of the world, we found only very small differences in life satisfaction and negative affect.

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