Development of the situational test of emotional understanding – brief (STEU-B) using item response theory

Understanding the Psychosis Spectrum Using a Hierarchical Model of Social Cognition

BACKGROUND AND HYPOTHESIS

Social cognitive impairments are central to psychosis, including lower severity psychosis-like experiences (PLEs). Nonetheless, progress has been hindered by social cognition's poorly defined factor structure, as well as limited work examining the specificity of social cognitive impairment to psychosis. The present study examined how PLEs relate to social cognition in the context of other psychopathology dimensions, using a hierarchical factors approach to social cognition.

STUDY DESIGN

Online community participants (N = 1026) completed psychosis, autism, and personality disorder questionnaires, as well as 3 social cognitive tasks that varied in methodology (vignette vs video) and construct (higher- vs lower-level social cognition). Exploratory (EFA) and confirmatory factor analyses (CFA) were used to model social cognition, with the best models being examined in association with PLEs and psychopathology dimensions.

STUDY RESULTS

EFA and CFA supported a hierarchical model of social cognition, with 2 higher-order factors emerging: verbal/vignette task methodology and a multimethod general social cognition factor. These higher-order factors accounted for task-level associations to psychopathology, with relations to positive symptoms (r = .23) and antagonism (r = .28). After controlling for other psychopathology, positive symptoms were most clearly related to tasks with verbal methodology (β = -0.34).

CONCLUSIONS

These results suggest that broad social cognitive processes and method effects may account for many previous findings in psychosis and psychopathology research. Additionally, accounting for broad social cognitive impairment may yield insights into more specific social cognitive processes as well.

On Personality Measures and Their Data: A Classification of Measurement Approaches and Their Recommended Uses

We employ a new approach for classifying methods of personality measurement such as self-judgment, mental ability, and lifespace measures and the data they produce. We divide these measures into two fundamental groups: personal-source data, which arise from the target person's own reports, and external-source data, which derive from the areas surrounding the person. These two broad classes are then further divided according to what they target and the response processes that produce them. We use the model to organize roughly a dozen kinds of data currently employed in the field. With this classification system in hand, we describe how much we might expect two types of measures of the same attribute to converge-and explain why methods often yield somewhat different results. Given that each measurement method has its own strengths and weaknesses, we examine the pros and cons of selecting a given type of measure to assess a specific area of personality.

The cross-cutting edge: Medical selection and education viewed through the lens of emotional intelligence

CONTEXT

Evidence suggesting the benefits of compassionate, person-centred care, for both patients and physicians is accruing. Medical selection, for example, aims to choose future health professionals that possess the correct attitudes, beliefs and personal attributes to deliver such care. Moreover, once in training, these desirable personal qualities should be developed and maintained, sometimes in the face of adverse health care service conditions. However, advances in selecting for, and developing, these abilities and attributes in health care have been hindered by a lack of clarity regarding how the relevant skills and traits should be defined, measured, developed and maintained in clinicians.

METHODS

In this article, we demonstrate how developments in the emotional intelligence (EI) field can be applied to the challenge of selecting for, and developing, relevant interpersonal care skills in medical students and physicians. The concept of EI itself has been somewhat controversial. However, a more nuanced understanding of EI has evolved in the light of research findings that can be applied to medical selection and education. Specifically, we propose modifications to the existing 'cascading' model of EI. This model identifies, and relates, several key socioemotional skills and traits that could be considered as 'the elementary particles' of EI required to deliver compassionate, person-centred care.

CONCLUSIONS

Our model of EI, which is relevant to care delivery, identifies putative targets for both medical selection and training. Selection for medical school and subsequent clinical education should focus on screening out those with low levels of the traits and abilities less amenable to training. Conversely, medical education should be concerned with developing and maintaining the socioemotional skills, attitudes and behaviours critical to the delivery of compassionate, person-centred care. This is especially important for specialties characterised by high levels of emotional labour and possible resultant compassion fatigue.

Face and context integration in emotion inference is limited and variable across categories and individuals

The ability to make nuanced inferences about other people's emotional states is central to social functioning. While emotion inferences can be sensitive to both facial movements and the situational context that they occur in, relatively little is understood about when these two sources of information are integrated across emotion categories and individuals. In a series of studies, we use one archival and five empirical datasets to demonstrate that people could be integrating, but that emotion inferences are just as well (and sometimes better) captured by knowledge of the situation alone, while isolated facial cues are insufficient. Further, people integrate facial cues more for categories for which they most frequently encounter facial expressions in everyday life (e.g., happiness). People are also moderately stable over time in their reliance on situational cues and integration of cues and those who reliably utilize situation cues more also have better situated emotion knowledge. These findings underscore the importance of studying variability in reliance on and integration of cues.

Emotional event perception is related to lexical complexity and emotion knowledge

Inferring emotion is a critical skill that supports social functioning. Emotion inferences are typically studied in simplistic paradigms by asking people to categorize isolated and static cues like frowning faces. Yet emotions are complex events that unfold over time. Here, across three samples (Study 1 N = 222; Study 2 N = 261; Study 3 N = 101), we present the Emotion Segmentation Paradigm to examine inferences about complex emotional events by extending cognitive paradigms examining event perception. Participants were asked to indicate when there were changes in the emotions of target individuals within continuous streams of activity in narrative film (Study 1) and documentary clips (Study 2, preregistered, and Study 3 test-retest sample). This Emotion Segmentation Paradigm revealed robust and reliable individual differences across multiple metrics. We also tested the constructionist prediction that emotion labels constrain emotion inference, which is traditionally studied by introducing emotion labels. We demonstrate that individual differences in active emotion vocabulary (i.e., readily accessible emotion words) correlate with emotion segmentation performance.

Seeing emotions in the eyes: a validated test to study individual differences in the perception of basic emotions

People are able to perceive emotions in the eyes of others and can therefore see emotions when individuals wear face masks. Research has been hampered by the lack of a good test to measure basic emotions in the eyes. In two studies respectively with 358 and 200 participants, we developed a test to see anger, disgust, fear, happiness, sadness and surprise in images of eyes. Each emotion is measured with 8 stimuli (4 male actors and 4 female actors), matched in terms of difficulty and item discrimination. Participants reliably differed in their performance on the Seeing Emotions in the Eyes test (SEE-48). The test correlated well not only with Reading the Mind in the Eyes Test (RMET) but also with the Situational Test of Emotion Understanding (STEU), indicating that the SEE-48 not only measures low-level perceptual skills but also broader skills of emotion perception and emotional intelligence. The test is freely available for research and clinical purposes.

Development and Validation of an Ability Measure of Emotion Understanding: The Core Relational Themes of Emotion (CORE) Test

Emotion understanding (EU) ability is associated with healthy social functioning and psychological well-being. Across three studies, we develop and present validity evidence for the Core Relational Themes of Emotions (CORE) Test. The test measures people's ability to identify relational themes underlying 19 positive and negative emotions. Relational themes are consistencies in the meaning people assign to emotional experiences. In Study 1, we developed and refined the test items employing a literature review, expert panel, and confusion matrix with a demographically diverse sample. Correctness criteria were determined using theory and prior research, and a progressive (degrees of correctness) paradigm was utilized to score the test. In Study 2, the CORE demonstrated high internal consistency and a confirmatory factor analysis supported the unidimensional factor structure. The CORE showed evidence of convergence with established EU ability measures and divergent relationships with verbal intelligence and demographic characteristics, supporting its construct validity. Also, the CORE was associated with less relational conflict. In Study 3, the CORE was associated with more adaptive and less maladaptive coping and higher well-being on multiple indicators. A set of effects remained, accounting for variance from a widely used EU test, supporting the CORE's incremental validity. Theoretical and methodological contributions are discussed.

Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions

Emotion information processing (EI_P) has been recently introduced as a new component of emotional intelligence. We present a task aiming at measuring a type of emotion information processing related to fine-grained discrimination of emotional expressions. We modified an existing task presenting morphed faces created from a blend of two prototypical emotional expressions. Participants' (N = 154) ability-EI, in particular emotion recognition, understanding and management, as well as intelligence were evaluated. Results show that all facets of EI independently predicted accuracy in the discrimination task and that emotion recognition was the strongest predictor. When controlling for emotion recognition level, we found that emotion understanding still predicted accuracy for less difficult stimuli. Results support the idea that individuals high in EI have higher emotion processing skills at the emotion perception stage of information processing and suggest that the task employed in the current study might measure more spontaneous processing of emotional expressions. Implications regarding the use of the current task as a new measure of the EI_P component are discussed.

Emotional Intelligence and Emotional Hypersensitivity in Gifted Individuals

The goal of the present study was to investigate the associations between high intelligence, emotional intelligence (EI), and emotional hypersensitivity in a sample of 304 Mensa members. In addition, we aimed to shed light on how highly intelligent individuals process emotional information. In a previous study, we found that individuals with high EI in the general population are characterized by an attentional bias toward emotional information. We tested whether this effect holds for highly intelligent individuals by drawing on the same procedure: participants (N = 124 Mensa members) had to report a letter appearing behind a picture of a face with emotional or a neutral facial expression, and their reaction time to provide an answer was recorded. Comparing the results from the general population to those of Mensa members, we found that Mensa members did not show the attentional bias toward emotional information found in the general population. Mensa members were equally fast to evaluate letters replacing emotional and neutral expressions, and this result was not influenced by EI level. Possible explanations include the role of inhibitory processes (a factor related to intelligence), which might have contributed to treating emotional information as purely cognitive.

Assessing Emotional Intelligence Abilities, Acquiescent and Extreme Responding in Situational Judgment Tests Using Principal Component Metrics

Principal Component Metrics is a novel theoretically-based and data-driven methodology that enables the evaluation of the internal structure at item level of maximum emotional intelligence tests. This method disentangles interindividual differences in emotional ability from acquiescent and extreme responding. Principal Component Metrics are applied to existing (Mayer-Salovey-Caruso Emotional Intelligence Test) and assembled (specifically, the Situational Test of Emotion Understanding, the Situational Test of Emotion Management, and the Geneva Emotion Recognition Test) emotional intelligence test batteries in an analysis of three samples (total N = 2,303 participants). In undertaking these analyses important aspects of the nomological network of emotional intelligence, acquiescent, and extreme responding are investigated. The current study adds a central piece of empirical validity evidence to the emotional intelligence domain. In the three different samples, theoretically predicted internal structures at item level were found using raw item scores. The validity of the indicators for emotional intelligence, acquiescent, and extreme responding was confirmed by their relationships across emotional intelligence tests and by their nomological networks. The current findings contribute to evaluating the efficacy of the emotional intelligence construct as well as the validity evidence surrounding the instruments that are currently designed for its assessment, in the process opening new perspectives for analyzing existing and constructing new emotional intelligence tests.

Social media stress and mental health: A brief report on the protective role of emotional intelligence

Evidence on whether social media use is associated with poor mental health and stress remains mixed and controversial. It is suggested that this effect may vary according to individual differences. Emotional intelligence (EI) is considered a protective resource that can buffer the effects of stressors in certain contexts. We examine whether this protective effect extends to the experience of social media stress. 201 young adults (mean age 26.12; 83.6% female) completed measures of EI (trait; ability), social media stress (SMS), anxiety, depression and wellbeing. SMS related to poorer mental health (symptoms and wellbeing) whilst higher EI was linked to reduced levels of SMS and better mental health. Data show the relationship between SMS and depression is moderated by trait (not ability) EI, such that those with lower levels of trait EI, who experience high levels of SMS, report higher levels of depression symptoms compared to those with higher TEI. Implications and directions for research are explored.

The neurocognitive and functional profile of schizophrenia in a genetically homogenous European sample

Schizophrenia is a complex heritable brain disorder that entails significant social, neurocognitive, and functional deficits, and significant psychosocial challenges to affected and unaffected family members. In this cross-sectional study, we explore impairments in specific neurocognitive and social cognition processes in patients affected with schizophrenia, unaffected relatives, and in controls to provide a characterization of a genetically homogenous European sample from an endophenotypic and functional standpoint. A sample of 38 affected patients, 28 first-degree relatives, and 97 controls performed a series of computerized and skills-based assessments. Samples were compared across several neurocognitive, social, and functional domains. Significant impairments in episodic memory, executive function, social cognition, complex cognition, sensorimotor domains were found in patients and first-degree relatives. Findings also showed increased processing speed in memory and other complex cognitive processes relevant to autonomous living. A discriminant function analysis yielded 2 functions allowing 79% of correct group classifications based on social cognition and functional skills, neurocognition, and age. The study highlights the importance of resourcing to wide-ranging assessment methodologies, of developing research efforts to further understand the decline of social and neurocognitive processes, and the need for designing more targeted intervention strategies to be implemented both with affected patients and families.

Rasch Measurement of the Brief Situational Test of Emotional Management in a Large Portuguese Sample

Emotional management (EM) is a crucial skill for achieving relevant biopsychosocial goals, and there has been an increased demand for the effective measurement of EM ability. The current study aimed to explore the psychometric properties of the Portuguese version of the brief Situational Test of Emotional Management (STEM-B) using the item response theory in a sample of 899 participants. The global fit indicated the model had a good adjustment, with most items aligning vertically across the logit scale and presenting an adequate range of item difficulty and fit. Differential item functioning analysis showed no differences in difficulty between genders, but some items differed according to the education level and age-groups. Overall, findings suggest the STEM-B is a psychometrically sound measure for specific testing of EM skills that has the potential to be used across cultures and fields.

Do Trait Emotional Intelligence and Dispositional Mindfulness Have a Complementary Effect on the Children's and Adolescents' Emotional States?

Mindfulness is both a non-judgmental and present-centered awareness, which has been applied to reduce negative emotions. On the other hand, Trait Emotional Intelligence (TEI) is the way of how good people perceive their emotional intelligence abilities (perceiving, expressing, understanding, and regulating emotions), which are involved in people's social functioning. This empirical study was designed to analyze whether dispositional mindfulness (DM) and TEI have a potential combined role for children and adolescent's emotional states. In a sample of primary school students (N = 318), age ranged from 8 to 16 years old (M = 11.25, SD = 2.20), participants filled a TEI measure (ESCQ, Emotional skills and competence questionnaire) and two measures of DM (CAMM, Child and Adolescent Mindfulness Measure and AFQ-Y, Avoidance and Fusion Questionnaire for Youth). Measures selected included: PANAS (Positive affect and negative affect schedule), White Bear Suppression Inventory (a thought suppression inventory), and STAIC (State-Trait Anxiety for Children). Findings pointed out that TEI measures (labeling and expression, understanding, and managing emotions) were positively and significantly related to positive emotional states (especially, positive affect and balance) and negatively with a lower association with state anxiety. However, DM measures were both negatively and strongly associated with negative emotional states (thought suppression, negative affect, and anxiety). Conclusions indicate that a combined effect of both TEI skills and DM based interventions would be more complete than each one separately for better social functioning of children and teenagers.

Psychometric Properties and Criterion Validity of STEU-B and STEM-B in Chinese Context

Emotional intelligence (EI) has attracted increasing attention in organizational psychology. The aim of this study was to test the applicability of two performance-based emotional intelligence tests developed in western countries, namely, the brief versions of the Situational Test of Emotional Understanding (STEU-B) and the Situational Test of Emotional Management (STEM-B), in a sample of 904 Chinese employees. Specifically, item response theory (IRT) analyses were conducted. The item parameters along with the item and test information functions of the Chinese versions of the STEU-B and STEM-B were estimated. Moreover, the associations between the STEU-B and STEM-B scores and several work-related variables were examined. The results showed that the STEU-B and STEM-B had acceptable internal consistencies, and similar mean proportions of correct responses, item parameters, item information functions, and test information functions in China, as reported in previous studies. Furthermore, the scores were found to be related to the employees’ psychological strain, job-related affect, job satisfaction, and supervisor-rated job performance in a theoretically hypothesized manner. These findings suggested that the STEU-B and STEM-B might be useful measurements in future EI studies in the Chinese organizational context.

Advancing the Measurement of Personal Intelligence with the Test of Personal Intelligence, Version 5 (TOPI 5)

People use their personal intelligence (PI) to understand personality in themselves and others. In Studies 1 and 2 (Ns = 961 and 548), individuals completed the Test of Personal Intelligence, Version 5 (TOPI 5), which is introduced here. The TOPI 5 is an ability assessment with a broader range of content and more challenging items than earlier test versions. In past research, factor analyses indicated that people employ two distinct but highly correlated abilities to problem-solve in this area. These two-factor models, however, exhibited instabilities and limited applicability between the TOPI 4 and 5 in this research (and as reported in the Supplementary Materials). In Study 3, we successfully test the one-factor models of the TOPI with the present data and archival data sets (N_archival = 19,627). We then use the one-factor models to develop a pair of new test forms: one that is compatible with all the TOPI test versions and another, TOPI 5E, that is better at distinguishing among people scoring in the higher range of performance relative to previous measures.

The nomological network of emotion knowledge and emotion understanding in adults: evidence from two new performance-based tests

Emotion understanding, which can broadly be defined as expertise in the meaning of emotion, is a core component of emotional intelligence and facilitates better intra- and interpersonal outcomes. However, to date only very few standard tests to measure emotion understanding in healthy adults exist. Here, we present two new performance-based tests that were developed and are scored based on componential emotion theory and large-scale cross-cultural empirical findings. These instruments intend to measure facets of emotion understanding that are not included in existing tests. The first test (Geneva EMOtion Knowledge test - Blends; GEMOK-Blends) measures the ability to understand and label emotional experiences of a target person from a description of emotion features covering five emotion components (appraisal, feeling, action tendencies, expression, and physiology) embedded in a written vignette. The second test (GEMOK-Features) measures semantic knowledge about which features from each component are characteristic of emotion episodes described by a specific emotion label. In four studies, we found evidence for the good internal consistency and construct validity of these tests. Both tests were positively correlated with other emotional abilities and cognitive ability and showed meaningful associations with a variety of personality and demographic variables.

The Ability Model of Emotional Intelligence: Principles and Updates

This article presents seven principles that have guided our thinking about emotional intelligence, some of them new. We have reformulated our original ability model here guided by these principles, clarified earlier statements of the model that were unclear, and revised portions of it in response to current research. In this revision, we also positioned emotional intelligence amidst other hot intelligences including personal and social intelligences, and examined the implications of the changes to the model. We discuss the present and future of the concept of emotional intelligence as a mental ability.

Differences between multimedia and text-based assessments of emotion management: An exploration with the multimedia emotion management assessment (MEMA)

People process emotional information using visual, vocal, and verbal cues. However, emotion management is typically assessed with text based rather than multimedia stimuli. This study (N = 427) presents the new multimedia emotion management assessment (MEMA) and compares it to the text-based assessment of emotion management used in the MSCEIT. The text-based and multimedia assessment showed similar levels of cognitive saturation and similar prediction of relevant criteria. Results demonstrate that the MEMA scores have equivalent evidence of validity to the text-based MSCEIT test scores, demonstrating that multimedia assessment of emotion management is viable. Furthermore, our results inform the debate as to whether cognitive saturation in emotional intelligence (EI) measures represents "noise" or "substance". We find that cognitive ability associations with EI represent substantive variance rather than construct-irrelevant shared variance due to reading comprehension ability required for text-based items.

Intelligent topical sentiment analysis for the classification of e-learners and their topics of interest

Every day, huge numbers of instant tweets (messages) are published on Twitter as it is one of the massive social media for e-learners interactions. The options regarding various interesting topics to be studied are discussed among the learners and teachers through the capture of ideal sources in Twitter. The common sentiment behavior towards these topics is received through the massive number of instant messages about them. In this paper, rather than using the opinion polarity of each message relevant to the topic, authors focus on sentence level opinion classification upon using the unsupervised algorithm named bigram item response theory (BIRT). It differs from the traditional classification and document level classification algorithm. The investigation illustrated in this paper is of threefold which are listed as follows: (1) lexicon based sentiment polarity of tweet messages; (2) the bigram cooccurrence relationship using naïve Bayesian; (3) the bigram item response theory (BIRT) on various topics. It has been proposed that a model using item response theory is constructed for topical classification inference. The performance has been improved remarkably using this bigram item response theory when compared with other supervised algorithms. The experiment has been conducted on a real life dataset containing different set of tweets and topics.

Development of a Forced-Choice Measure of Typical-Performance Emotional Intelligence

Self-report ratings of emotional intelligence (EI) can be faked in high-stakes situations. Although forced-choice administration can prevent response distortion, it produces ipsative scores when scored conventionally. This study ( n = 486) develops an 18-item EI rating scale assessing emotion perception, understanding, and management. We compare validity evidence for: (a) a single-stimulus rating scale; and (b) a forced-choice assessment scored with conventional methods versus item response theory (IRT) methods. The single-stimulus items showed acceptable fit to a three-factor solution, and the forced-choice items showed acceptable fit to the IRT solution. Correlations with criterion variables (ability and self-reported EI, Big Five personality, loneliness, life satisfaction, and GPA) were obtained for 283 participants. Correlations were in the expected direction for the single-stimulus and the IRT-based forced-choice scores. In contrast, the conventionally scored forced-choice test showed the expected correlations for emotion management, but not for emotion perception nor understanding. Results suggest that IRT-based methods for scoring forced-choice assessments produce equivalent validity to single-stimulus rating scales. As such, IRT-based scores on forced-choice assessments may allow EI tests to be used for high-stakes applications, where faking is a concern.