What If Well-Being Measurements Are Non-Linear?

Well-being measurements are frequently used to support conclusions about a range of philosophically important issues. This is a problem, because we know too little about the intervals of the relevant scales. I argue that it is plausible that well-being measurements are non-linear, and that common beliefs that they are linear are not truth-tracking, so we are not justified in believing that well-being scales are linear. I then argue that this undermines common appeals to both hypothetical and actual well-being measurements; I first focus on the philosophical literature on prioritarianism and then discuss Kahneman's Peak-End Rule as a systematic bias. Finally, I discuss general implications for research on well-being, and suggest a better way of representing scales.     

Measuring Creativity: A 40+ Year Retrospective

This article describes how, as theories of creativity evolved, so have measures of creativity. Measures thus reflect the theories that generated them.     

Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement

Researchers have long been aware of the mathematics of factor indeterminacy. Yet, while occasionally discussed, the phenomenon is mostly ignored. In metrology, the measurement discipline of the physical sciences, uncertainty – distinct from both random error (but encompassing it) and systematic error – is a crucial characteristic of any measurement. This research argues that factor indeterminacy is uncertainty. Factor indeterminacy fundamentally threatens the validity of psychometric measurement, because it blurs the linkage between a common factor and the conceptual variable that the factor represents. Acknowledging and quantifying factor indeterminacy is important for progress in reducing this component of uncertainty in measurement, and thus improving psychological measurement over time. Based on our elaborations, we offer a range of recommendations toward achieving this goal.     

Testing the properties of the triarchic model of psychopathy in a community sample: Self‐reported trait aggression and drug consumption associations

The triarchic model of psychopathy encompasses different conceptions of psychopathic personality characterized by three phenotypic components: boldness, disinhibition, and meanness. Psychopathy is a complex construct at both emotional and behavioral level. The aim of this study was to determine the core elements of psychopathic personality in a community sample and analyze the relation between these elements and other personality traits such as aggression, and certain specific behavioral manifestations such as substance use. The study sample comprised 1,159 participants aged between 17 and 74 years, who were administered the Triarchic Psychopathy Questionnaire, the Impulsive‐Premeditated Aggression Scale, and the Aggression Questionnaire. The results show that the constructs of meanness and disinhibition are more highly associated with different forms of both impulsive and premeditated aggression. Furthermore, men scored higher on all three components of the triarchic model compared to women. Finally, higher substance use (tobacco and drugs) was associated with higher scores in meanness, boldness, and disinhibition. These findings demonstrate the importance of assessing psychopathy in a community sample, and the detection of possible risk factors for the disorder.     

AUGMENTED REALITY,ARTIFICIAL INTELLIGENCE,AND THE RE‐ENCHANTMENT OF THE WORLD

There has recently been a surge of development in augmented reality (AR) technologies that has led to an ecosystem of hardware and software for AR, including tools for artists and designers to accelerate the design of AR content and experiences without requiring complex programming. AR is viewed as a key “disruptive technology” and future display technologies (such as digital eyewear) will provide seamless continuity between reality and the digitally augmented. This article will argue that the technologization of human perception and experience of reality, coupled with the development of artificial intelligence (AI)–based natural language assistants, may lead to a secular re‐enchantment of the world, in the sense outlined by Charles Taylor, where human existence is shaped through AR inhabited by advanced personal and social AI agents in the form of digital avatars and daemons, and that enchantment has been persistent throughout the formation of modernity and is being rekindled by the integration of AI in the plane of AR.     

The impact of surface projection on military tactics comprehension

This experiment assessed how displaying information onto different surfaces (flat vs. raised) influenced the performance, workload, and engagement of cadets answering questions on military tactics. Sixty-two cadets in a within-subjects design each answered 24 tactics-related questions across 2 conditions (12 on flat, 12 on raised) which were measured by accuracy and time on task. After each set of 12 questions, the cadets took postsurveys assessing engagement, measured by a modified User Engagement Scale and the System Usability Scale, and workload measured by the NASA-TLX. Findings indicated that raised terrain surface led to reduced workload and increased engagement and time on task as compared to the flat terrain surface. A practice effect drove performance metrics (time on task and accuracy), where the learner performed better on the second surface type displayed. This research contributes to expanding the literature base that supports alternative display methods to increase engagement and augment instruction of military tactics tasks.     

The reliability and construct validity of scores on the Japanese version of an academic self‐concept scale for a sample of college students1

Abstract: This study investigated the internal consistency, reliability, and construct validity of scores on the Japanese version of the Dimensions of Self‐Concept (DOSC) academic self‐concept scale for a sample of 177 students at a small Japanese private college. Confirmatory factor analyses showed promising support for the construct validity of scores on the six factor subscales (Level of Aspiration, Anxiety, Academic Interest and Satisfaction, Leadership and Initiative, Identification versus Alienation, and Stress), representing the six hypothesized constructs of academic self‐concept. Internal consistency reliability of scores on the six subscales ranged from 0.82 to 0.87.     

Empirical Guidance for Time-Window Sequential Analysis of Single Cases

Time-window sequential analyses test whether a target behavior occurs within a temporal window (e.g., within 2 seconds) after an antecedent behavior more than is expected by chance. This type of question is common when we need to know how one person or event may immediately affect another event or person in the natural environment. Theoretically, the significance of sequential associations from time-window analysis can be tested on the single subject level (Bakeman & Quera, 1995). The present Monte Carlo study was conducted to test the Type I error rates and the difference in sequential associations derived from four methods of time-window sequential analysis. The four methods vary according to whether they analyze the duration of antecedent and target behaviors. The results indicate that time-window sequential analysis method is generally valid. The results were most accurate when antecedent duration and target onset was analyzed. Although analyzing duration of the antecedent did affect the results, the effect size for the difference in results due to presence or absence of measuring duration of the antecedent was extremely small. Time-window analysis results appear unaffected by the decision to analyze the duration of the target event.