An Examination of Ability Emotional Intelligence and Its Relationships with Fluid and Crystallized Abilities in a Student Sample

Designing and evaluating tasks to measure individual differences in experimental psychology: a tutorial

Experimental psychology is witnessing an increase in research on individual differences, which requires the development of new tasks that can reliably assess variations among participants. To do this, cognitive researchers need statistical methods that many researchers have not learned during their training. The lack of expertise can pose challenges not only in designing good, new tasks but also in evaluating tasks developed by others. To bridge the gap, this article provides an overview of test psychology applied to performance tasks, covering fundamental concepts such as standardization, reliability, norming and validity. It provides practical guidelines for developing and evaluating experimental tasks, as well as for combining tasks to better understand individual differences. To further address common misconceptions, the article lists 11 prevailing myths. The purpose of this guide is to provide experimental psychologists with the knowledge and tools needed to conduct rigorous and insightful studies of individual differences.

Emotional intelligence matters in hospitality education: contributions of emotional intelligence, fluid ability, and personality to hospitality grades

Introduction

According to recent meta-analyses, emotional intelligence can significantly predict academic performance. In this research, we wanted to investigate a particular group of students for which emotional intelligence should be crucial. Namely, we examined whether emotional intelligence, conceptualized as an ability, uniquely contributes to academic performance in hospitality management education beyond fluid intelligence and personality.

Methods

Using a battery of tests and questionnaires in an online survey, we analyzed if fluid ability, the Big-Five personality dimensions, and ability-based emotional intelligence predict six module grades in a sample of N = 330 first-semester students at a Swiss-based hospitality school.

Results

We found that the ability to manage other people's emotions is more predictive of module grades than fluid ability if the courses involve substantial parts of interactive work. Complementarily, the more a module focuses on theoretical knowledge or abstract subject material, the more fluid ability predicted performance. Other abilities and factors - emotion understanding, emotion regulation, the students' age, conscientiousness, and openness - predicted performance only in specific modules, hinting that the didactic methods and grading procedures are complex and involve various skills and dispositions of the students.

Discussion

Given that the hospitality education and industry are buzzing with interactions with peers and guests alike, we provide evidence that interpersonal and emotional competencies are vital to hospitality curricula.

Are People-Centered Intelligences Psychometrically Distinct from Thing-Centered Intelligences? A Meta-Analysis

The Cattell–Horn–Carroll (CHC) or three-stratum model of intelligence envisions human intelligence as a hierarchy. General intelligence (g) is situated at the top, under which are a group of broad intelligences such as verbal, visuospatial processing, and quantitative knowledge that pertain to more specific areas of reasoning. Some broad intelligences are people-centered, including personal, emotional, and social intelligences; others concern reasoning about things more generally, such as visuospatial and quantitative knowledge. In the present research, we conducted a meta-analysis of 87 studies, including 2322 effect sizes, to examine the average correlation between people-to-people intelligences relative to the average correlation between people-to-thing-centered intelligences (and similar comparisons). Results clearly support the psychometric distinction between people-centered and thing-centered mental abilities. Coupled with evidence for incremental predictions from people-centered intelligences, our findings provide a secure foundation for continued research focused on people-centered mental abilities.

How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test

Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we find that (a) a first-order oblique and bifactor model provide excellent and comparably fitting representation of an EI structure with self-regulatory skills operating independent of general ability, (b) residualized EI abilities uniquely predict criteria over general cognitive ability as referenced by fluid intelligence, and (c) emotion recognition and regulation incrementally predict grade point average (GPA) and affective engagement in opposing directions, after controlling for fluid general ability and the Big Five personality traits. Results are qualified by psychometric analyses suggesting only emotion regulation has enough determinacy and reliable variance beyond a general ability factor to be treated as a manifest score in analyses and interpretation. Findings call for renewed, albeit tempered, research on EI as a multidimensional intelligence and highlight the need for refined assessment of emotional perception, understanding, and management to allow focused analyses of different EI abilities.