Personality and Social Contexts Commons^™

How Human Personality Will Change With The Use Of Artificial Intelligence, John Mayer

UNH Personality Lab

INTRODUCTION: Human personality changes in response to new habits, situations, and maturation, among other causes. As people interact with artificial intelligence (AI), their personalities are likely to change, from their emotional responses to their self-concept.

METHODOLOGY: This theoretical account draws together empirical studies of how personality changed in response to past technological innovations, changes in personal interactions observed in people’s AI usage, changes that arise from the use and disuse of cognitive skills, and works on the self-concept. Research reports in the review were selected according to their relevance and quality.

THEORETICAL STATEMENT: While AI becomes increasingly human-like, humans increasingly …

Measuring Emotional Intelligence With The Msceit 2: Theory, Rationale, And Initial Findings, John D. Mayer, David R. Caruso, Peter Salovey, Iris Y. Lin, Braden J. Hansma, Joanna Solomon, Gill Sitarenios, Manolo Romero Escobar

UNH Personality Lab

Introduction: The model of emotional intelligence as an ability has evolved since its introduction 35 years ago. The revised model includes that emotional intelligence (EI) is a broad intelligence within the Cattell-Horn-Carroll (CHC) model of intelligence, and that more areas of problem solving are involved than originally detailed. An argument is made here that veridical scoring of EI test responses is a sound procedure relative to scoring keys based on expert consensus or a single emotion theory. To the degree that EI fits present-day theories of intelligence (i.e., the CHC model), any subsidiary factors of EI reasoning should correlate highly …

Transhumanism And Artificial Personality, John D. Mayer

UNH Personality Lab

No abstract provided.

A Comparison Of Methods For Binning Responses To Open-Ended Survey Items About Everyday Events: A New Tailored-Binning Approach, Derrick M. Angier, John D. Mayer

UNH Personality Lab

Psychologists and other researchers employ diverse types of surveys and survey items. Lifespace-type items include questions about a person’s external life conditions and activities, for example, “How many hours did you spend playing video games last week?” and elicit countable responses, for example, 0 hours, < 1 hour, 1-2 hours, 3-5 hours, etc., where the response intervals are referred to as bins. We report on a procedure for creating tailored bins for participants and compare it to two other binning approaches in an original and a replication study (Ns = 263 and 246). The Tailored binning approach developed here is highly structured, but, for convenience, can also be applied in less formal fashions. In the structured form focused on here, it compares favorably with alternative approaches such as Equal Percentage and Equal Interval methods. The pros and cons of each method …

Emotional Intelligence And Socioemotional Attributes: Distinct Constructs And Their Uses, John D. Mayer, David R. Caruso

UNH Personality Lab

We examine evidence for the validity of different measures under the label emotional intelligence (EI). Some measures are valid for the assessment of EI and others are valid for the assessment of socioemotional attributes (SEA). The constructs of EI and SEA are defined and measures of each described, along with the mental response processes the measures elicit: test-takers’ abilities, self-estimated attributes, or observer reports. Both EI and SEA measures are valid but for distinctly different purposes, and the two classes of measures make different predictions. We add our voices to those who have advocated for dropping the EI label from …

Major Choices: Students’ Personal Intelligence, Considerations When Choosing A Major, And Academic Success, Kateryna Sylaska, John D. Mayer

UNH Personality Lab

A student’s choice of major is influenced by their parents and peers, as well as by the quality of the college department that offers the major and by broader cultural and economic issues. The student’s own personality, including their ability to reason about themselves and their interests, also contributes to the choice and its outcomes. In a preliminary study, we developed a Choice of Major Scale that depicts key aspects of students’ consideration of their major. Then, across three studies (Ns = 304, 466, and 492), we examined the students’ personal intelligence, defined as their capacity to reason about their …

Self-Estimated Personal Intelligence— 16-Item (Sepi-16) Manual (2nd Edition, Extended Version), John D. Mayer, A. T. Panter, David R. Caruso

UNH Personality Lab

No abstract provided.

Lifespace Patterns Of College Students High And Low In Personal Intelligence, John D. Mayer

UNH Personality Lab

Personal intelligence (PI) refers to the capacity to accurately reason about personality in oneself and other people. We hypothesize that people who are higher in personal intelligence differ from others in their relationships and behaviors. We conducted a series of theoretically-guided studies to examine how PI is associated with a person’s self-reported activities, interactions, situations, and group memberships: their lifespace. In two archival and three new studies of college students (Ns = 385, 358, 1186, 416, 696, respectively) we first identified 15 short, factor-based scales describing aspects of college students’ lifespace that are potentially relevant to personal intelligence. …

Technical Supplement For The 2021 Article “How Do People Think About Understanding Personality—And What Do Such Thoughts Reflect?” By J.D. Mayer, D. R. Caruso, And A.T. Panter In Personality And Individual Differences, John D. Mayer, David R. Caruso, A. T. Panter

UNH Personality Lab

This technical supplement provides additional, supplementary information in relation to the article “When people estimate their personal intelligence who is overconfident? Who is accurate”, an article to appear in 2021 in the journal Personality and Individual Differences. The Table of Contents indicates what is included. The Technical Supplement contains a general description of the data sets employed, along with analyses that in some places duplicate those of the article, and in other places go beyond them.

Principal Investigator: John D. Mayer, Psychology Department, University of New Hampshire

Co-Investigator: David R. Caruso, Office of Dean of Yale College, Yale University

Co-Investigator: …

An Open-Source Template For Introducing A Technical Supplement, John D. Mayer, David R. Caruso

UNH Personality Lab

An open-source template on the relationship between an article and its accompanying technical supplement.

How Many Emotional Intelligence Abilities Are There? An Examination Of Four Measures Of Emotional Intelligence, John Mayer, David R. Caruso, Gill Sitarenios, Manolo Romero Escobar

UNH Personality Lab

The ability model of emotional intelligence (EI) specifies that four related abilities are involved: perceiving emotions, facilitating thought using emotions, understanding emotions, and managing them. Several performance-based assessments have been developed to measure those four abilities. Although some researchers find empirical support for the four abilities, others have argued that emotional intelligence divides into three abilities, two or even a single, unitary ability (Legree et al., 2014; Palmer, Gignac, Manocha, & Stough, 2005). We reanalyzed archival data from four ability tests of emotional intelligence, Ns = 503, 5000, 1000, and 2000, conducting item-level exploratory factor models of all four assessments …

Technical Supplement For How Many Emotional Intelligence Abilities Are There? An Examination Of Four Measures Of Emotional Intelligence, John D. Mayer

UNH Personality Lab

No abstract provided.

Personal Intelligence Is Evident In The Sophistication Of People’S Narratives About Personality, Jayne L. Allen, John D. Mayer

UNH Personality Lab

Personal intelligence concerns the ability to understand personality in oneself and others—including the understanding of motives, socioemotional traits, and abilities. We examined if people’s scores on the ability-based Test of Personal Intelligence (TOPI) would be reflected in their narratives about someone whose personality they had learned about. In a Preliminary Study (N = 220), we collected narratives and open-ended descriptions about their learning. In Study 1 (N = 212), experts rated the respondents’ open-ended narratives for their sophistication about personality, defined as their knowledge and complexity of thought around the topic. Respondents also filled out checklists concerning what they learned …

Open Source Data For The 2021 Article “How Do People Think About Understanding Personality—And What Do Such Thoughts Reflect?” By J.D. Mayer, D. R. Caruso, And A.T. Panter In Personality And Individual Differences, John D. Mayer, David R. Caruso, A. T. Panter

UNH Personality Lab

This Excel document contains an open-source version of the data for “When people estimate their personal intelligence who is overconfident? Who is accurate”, an article to appear in 2021 in the journal Personality and Individual Differences. The file contains data related to two forms of the measure, the “Self-Estimated Personal Intelligence”. The first is a 120 item version of the scale (the SEPI-120; the second is a 16-item version (the SEPI-16). Personal intelligence involves the ability to understand personality in oneself and others. Self-estimated personal intelligence (as contrasted with the actual ability) involves holding opinions of oneself such as “I …

A Meta-Analysis Of The Correlations Among Broad Intelligences: Understanding Their Relations, Victoria M. Bryan, John D. Mayer

UNH Personality Lab

The broad intelligences include a group of mental abilities such as comprehension knowledge, quantitative reasoning, and spatial reasoning that are relatively specific in their focus and fall at the second stratum of the Cattell-Horn-Carroll (CHC) model of intelligence. In recent years, the field has seen a proliferation of mental abilities being considered for inclusion among the broad intelligences, which poses challenges in terms of their effective and efficient assessment. We conducted a meta-analysis of 60 articles that reported correlations among the broad intelligences. Results indicated that the average correlation among broad intelligences fell between r = .52 and r = …

Technical Supplement For The Article "A Meta-Analysis Of The Correlations Among Broad Intelligences: Understanding Their Relations", Victoria M. Bryan, John D. Mayer

UNH Personality Lab

This technical supplement was developed by the author along with their report, “A eta analysis of the correlations among broad intelligences: Understanding their relations” as part of a single, ongoing research project. The original report provides the general purpose and theoretical overview of the project, as well as the key analyses. This supplement also includes pieces of that material where relevant but focuses on detailing the programming and data analyses of the project to a far greater extent.

Open Source Data For “When People Estimate Their Personal Intelligence Who Is Overconfident? Who Is Accurate?”, John D. Mayer, A. T. Panter, David R. Caruso

UNH Personality Lab

This Excel workbook contains the key computed variables analyzed in Studies 1, 2, and 3 of the article, “When People Estimate their Personal Intelligence Who is Overconfident? Who is Accurate?”, by Mayer, Panter, and Caruso found the Journal of Personality, 2020. Missing value code and other details are explained in the first worksheet of the Excel Workbook.

When People Estimate Their Personal Intelligence Who Is Overconfident? Who Is Accurate?, John D. Mayer, A. T. Panter, David R. Caruso

UNH Personality Lab

Objective

We explore accurate self-knowledge versus overconfidence in personal intelligence—a “broad” intelligence about personality. The theory of personal intelligence proposes that people vary in their ability to understand the traits, goals, plans, and actions of themselves and others. We wondered who accurately knew that they were higher in personal intelligence and who did not, and whether individuals with more accurate estimates were distinguishable from others in their psychological characteristics.

Method

Three archival data sets were identified that included both self-estimates and objective measures of personal intelligence: The measures were the Self-Estimated Personal Intelligence scale (SEPI) and the Test of Personal …

Technical Report For “When People Estimate Their Personal Intelligence Who Is Overconfident? Who Is Accurate?”, John D. Mayer, A. T. Panter, David R. Caruso

UNH Personality Lab

The Technical Supplement includes additional information about the article “Who Believes they are High in Personal Intelligence.” The Supplement is organized such that material follows the organization of the article, with the exception that group-wise analyses—i.e., analyses based on median splits of the archival samples on the Test of Personal Intelligence and Self-Estimated Personal Intelligence, are in their own Appendix owing to the considerable length of that material.

Brief Mood Introspection Scale (Bmis): Technical And Scoring Manual (3rd Edition), John D. Mayer, Rachael Cavallaro

UNH Personality Lab

The BMIS scale is an open-source mood scale consisting of 16 mood-adjectives to which a person responds (e.g., Are you "happy"?). The scale can yield measures of overall pleasant-unpleasant mood, arousal-calm mood, and it also can be scored according to positive-tired and negative-calm mood.

Technical Supplement For The Article "Advances In Measuring Personal Intelligence", John D. Mayer, David R. Caruso, Abigail T. Panter

UNH Personality Lab

No abstract provided.

Test Of Personal Intelligencemini-12 (Topi Mini-12): Brief Manual And Test (9th Edition), John D. Mayer, Abigail T. Panter, David R. Caruso

UNH Personality Lab

Personal intelligence can be defined as the capacity to reason about personality and to use personality and personal information to enhance one’s thoughts, plans, and life experience (Mayer, 2008, p. 209). It is a “hot” intelligence in the sense of operating on information that is personally relevant and of importance to the individual.

The gold standard for measuring intelligences is through the use of ability scales. The Test of Personal Intelligence (TOPI), a 134-item ability measure, has been developed over three versions (1.0, 1.1., and 1.2) to test the existence of personal intelligence and to provide for its measurement (Mayer, …

Understanding People-Centered Intelligences, John D. Mayer

UNH Personality Lab

No abstract provided.

Test Of Personal Intelligence 1.4 (Topi 1.4) Manual, John D. Mayer, Abigail T. Panter, David R. Caruso

UNH Personality Lab

Personal intelligence involves the capacity to reason about personality and personality-relevant information. People high in personal intelligence are good at understanding themselves and others. The UNH Personality Lab developed a series of ability-based tests that assess this skill, under the name of the Test of Personal Intelligence (TOPI).

Asserting The Definition Of Personality, John D. Mayer

UNH Personality Lab

No abstract provided.

The Multidimensional Emotional Empathy Scale (Mdees), David R. Caruso, John D. Mayer

UNH Personality Lab

The Multidimesional Emotional Empathy Scale (Caruso & Mayer, 1998) is a scale of self-reported empathy.

Brief Mood Introspection Scale (Bmis): Open-Source Data, John D. Mayer, Yvonne N. Gaschke

UNH Personality Lab

Mood experience is comprised of at least two elements: the direct experience of the mood and a meta-level of experience that consists of thoughts and feelings about the mood. In Study 1, a two-dimensional structure for the direct experience of mood (Watson & Tellegen, 1985) was tested for its fit to the responses of 1,572 subjects who each completed one of the three different mood scales, including a brief scale developed to assist future research. The Watson and Tellegen structure was supported across all three scales. In Study 2, meta-mood experience was conceptualized as the product of a mood regulatory …

The Brief Mood Introspection Scale (Bmis), John D. Mayer, Yvonne N. Gaschke

UNH Personality Lab

The BMIS scale is an open-source mood scale consisting of 16 mood-adjectives to which a person responds (e.g., Are you "happy"?). The scale can yield measures of overall pleasant-unpleasant mood, arousal-calm mood, and it also can be scored according to positive-tired and negative-calm mood.

Brief Mood Introspection Scale (Bmis): Scoring Instructions, John D. Mayer

UNH Personality Lab

The BMIS scale is an open-source mood scale consisting of 16 mood-adjectives to which a person responds (e.g., Are you "happy"?). The scale can yield measures of overall pleasant-unpleasant mood, arousal-calm mood, and it also can be scored according to positive-tired and negative-calm mood.

Technical Notes On R-Based Reanalysis Of The Brief Mood Introspection Scale (Bmis) Of Mayer & Gaschke, 1998, Study 1, John D. Mayer

UNH Personality Lab

Notes regarding the creation of the Brief Mood Introspection Scale (BMIS) and data published in the original article Mayer, J. D., & Gaschke, Y. N. (1988). The experience and meta-experience of mood. Journal of Personality and Social Psychology, 55, 102-111.