Validation of the Italian Version of the Brief Emotional Intelligence Scale (BEIS-10)

2020 ◽  
pp. 003329412095977
Author(s):  
Ilaria Durosini ◽  
Stefano Triberti ◽  
Giulia Ongaro ◽  
Gabriella Pravettoni
Keyword(s):  
Emotional Intelligence ◽  
Construct Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Population Data ◽  
Self Report ◽  
Italian Population ◽  
Italian Version ◽  
Good Reliability ◽  
Italian Context

Based on Salovey and Mayer’s conceptualization of emotional intelligence, Davies and colleagues developed the BEIS-10 scale, a 10-items self-report questionnaire that explores individual dispositions that people have about exploring one’s own and others’ emotions. To date, no studies assess the validity of the BEIS-10 scale in the Italian context. This article aims to fill this gap, exploring the validity, reliability, and construct validity of the Italian version of this scale. 244 Italian adults participated in the study and 67 respondents completed a second administration of the scale after two-weeks. The recommended statistical procedures were followed to validate the Italian version of the BEIS-10 scale and, after a back-translation process and a pilot testing, the five-factor structure of the scale was tested through a confirmatory factor analysis. Results highlighted that the five-factor model of emotional intelligence proposed by Davies and colleagues (2010) is confirmed in the Italian population. Data showed good reliability, good stability over time, and evidence of construct validity of the BEIS-10 scale. The BEIS-10 scale could be completed in a couple of minutes and it is particularly useful for collecting data in contexts in which time is an issue.

Seven-Factor Model of Emotional Intelligence as Measured by Genos EI

2010 ◽  
Vol 26 (4) ◽  
pp. 309-316 ◽  
Author(s):  
Gilles Gignac
Keyword(s):  
Emotional Intelligence ◽  
Factor Model ◽  
Five Factor Model ◽  
Total Sample ◽  
Subscale Score ◽  
Self Report ◽  
Scale Scores ◽  
Report Data ◽  
Fitting In ◽  
Emotional Intelligence Inventory

In this investigation, a series of progressively more complex factor models was tested based on self-report and rater-report data derived from the workplace version of the Genos Emotional Intelligence Inventory (Genos EI). Based on a total sample of 4775 individual self-reports and 6848 rater-reports, a theoretically derived higher-order 7-factor model of emotional intelligence (EI) was found to be adequately well-fitting, in comparison to a competing global EI single-factor model and a five-factor model of EI. Internal consistency reliabilities associated with the total scale scores were approximately .95 and the subscale score reliabilities were approximately .80. The results are interpreted as largely supportive of a 7-factor model of EI as measured by Genos EI in both self- and rater-report formats.

Construction and Validation of a Short Adjectives Checklist to Measure Big Five (SACBIF)

1996 ◽  
Vol 12 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Marco Perugini ◽  
Luigi Leone
Keyword(s):  
Construct Validity ◽  
Psychometric Properties ◽  
Big Five ◽  
Factor Model ◽  
Five Factor Model ◽  
Selection Procedure ◽  
Factorial Structure ◽  
Personality Dimensions

The aim of this contribution is to present a new short adjective-based measure of the Five Factor Model (FFM) of personality, the Short Adjectives Checklist of BIg Five (SACBIF). We present the various steps of the construction and the validation of this instrument. First, 50 adjectives were selected with a selection procedure, the “Lining Up Technique” (LUT), specifically used to identify the best factorial markers of the FFM. Then, the factorial structure and the psychometric properties of the SACBIF were investigated. Finally, the SACBIF factorial structure was correlated with some main measures of the FFM to establish its construct validity and with some other personality dimensions to investigate how well these dimensions could be represented in the SACBIF factorial space.

Factorial Invariance of Child Self-Report Across English and Spanish Language Groups in a Hispanic Population Utilizing the PedsQL™ 4.0 Generic Core Scales

2010 ◽  
Vol 26 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Daniel A. Newman ◽  
Christine A. Limbers ◽  
James W. Varni
Keyword(s):  
Health Care Services ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Factorial Invariance ◽  
Spanish Language ◽  
Self Report ◽  
Hispanic Population ◽  
Language Groups ◽  
Related Quality

The measurement of health-related quality of life (HRQOL) in children has witnessed significant international growth over the past decade in an effort to improve pediatric health and well-being, and to determine the value of health-care services. In order to compare international HRQOL research findings across language groups, it is important to demonstrate factorial invariance, i.e., that the items have an equivalent meaning across the language groups studied. This study examined the factorial invariance of child self-reported HRQOL across English- and Spanish-language groups in a Hispanic population of 2,899 children ages 8–18 utilizing the 23-item PedsQL™ 4.0 Generic Core Scales. Multigroup confirmatory factor analysis (CFA) was performed specifying a five-factor model across language groups. The findings support an equivalent 5-factor structure across English- and Spanish-language groups. Based on these data, it can be concluded that children across the two languages studied interpreted the instrument in a similar manner. The multigroup CFA statistical methods utilized in the present study have important implications for cross-cultural assessment research in children in which different language groups are compared.

Self-Perceived Emotional Intelligence and Creative Personality

2002 ◽  
Vol 21 (4) ◽  
pp. 293-309 ◽  
Author(s):  
Uwe Wolfradt ◽  
Jörg Felfe ◽  
Torsten Köster
Keyword(s):  
Emotional Intelligence ◽  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Thinking Styles ◽  
Verbal Intelligence ◽  
Rational Form ◽  
Intelligence Scale ◽  
Perceived Emotional Intelligence ◽  
The Relationship

This study examines the relationship between self-perceived emotional intelligence (EI) measured by the Emotional Intelligence Scale (EIS) [1] and other personality measures including the five-factor-model. The EI construct has lately been re-defined as the ability to think intelligently about emotions and to use them to enhance intelligent thinking [2]. Two studies provide support that self-reported EI is mainly associated with personality traits (extraversion, agreeableness, conscientiousness, self-perceived creativity), life satisfaction and thinking styles with only a low relation to verbal intelligence. Furthermore, persons higher in the EI dimension “emotional efficacy” produced more creative performances than persons low in this domain. These findings suggest that self-reported EI cannot be considered as a rational form of intelligence so that it does qualify to fit into the framework of personality traits.

A psychometric evaluation of the job crafting questionnaire (JCRQ) among employees working in Jordanian universities

2019 ◽  
Vol 27 (1) ◽  
pp. 36-50 ◽  
Author(s):  
Mohammed Yasin Ghadi
Keyword(s):  
Construct Validity ◽  
Discriminant Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Psychometric Evaluation ◽  
Job Crafting ◽  
Cross Sectional ◽  
Content Type ◽  
Five Dimensions ◽  
Cross Sectional Design

Purpose Job crafting is recently argued to have five dimensions (Nielsen et al., 2017): increasing challenging demands, decreasing social demands, increasing social job resources, increasing quantitative demands and decreasing hindrance demands. The purpose of this study aimed to investigate the psychometric properties and construct validity of the five-factor model of job crafting, introduced by using a sample of Jordanian university employees. Design/methodology/approach A pre-determined survey on was used. Accordingly, 513 professional workers in several universities completed the survey. Cronbach’s alpha was used to assess the internal consistency of the scale, whereas series of confirmatory factor (CFA) analysis and exploratory factor analysis (EFA) were conducted to assess the scale’s factorial and discriminant validity. Other tests were also conducted. Findings As predicted, the proposed model best fit the data. Statistical analysis yielded several findings. First, the results of the reliability test revealed that the five sub-scales of job crafting had significant and sufficiently strong internal consistencies. Second, the results showed that the 15 items loaded significantly with a factor loadings more than 0.50. Third, the CFA results confirmed that the five-factor model best fitted the data in comparison to the one-factor model. Finally, the construct validity of JCRQ-15 was confirmed through its correlation with several validating variables. Research limitations/implications Some limitations need to be addressed. First, the sample came from participants working in specific Jordanian universities which may limit the generalization that could be made from the results to other occupations. Second, due to the cross-sectional design of the present study, the question remains whether the JCRQ-15 are stable overtime. Third, the common methods bias might be a problem because it is one of the main sources of measurement error in validation studies using self-reported scales. Originality/value The present study provided an early supportive evidence for the use of the JCRQ-15 as a valid measure of job crafting in the Jordanian context.

Borderline Personality Disorder: Associations Between Dimensional Personality Profiles and Self-Destructive Behaviors

2019 ◽  
Vol 33 (2) ◽  
pp. 249-261 ◽  
Author(s):  
Katharina Kolbeck ◽  
Steffen Moritz ◽  
Julia Bierbrodt ◽  
Christina Andreou
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Factor Model ◽  
Five Factor Model ◽  
Risk Preference ◽  
Borderline Personality ◽  
Self Report ◽  
Personality Profiles ◽  
Ongoing Research ◽  
Destructive Behaviors

Ongoing research is shifting towards a dimensional understanding of borderline personality disorder (BPD). Aim of this study was to identify personality profiles in BPD that are predictive of self-destructive behaviors. Personality traits were assessed (n = 130) according to the five-factor model of personality (i.e., Neuroticism, Extraversion, Openness to Experience, Agreeableness, Conscientiousness) and an additional factor called Risk Preference. Self-destructive behavior parameters such as non-suicidal self-injury (NSSI) and other borderline typical dyscontrolled behaviors (e.g., drug abuse) were assessed by self-report measures. Canonical correlation analyses demonstrated that Neuroticism, Extraversion, and Conscientiousness are predictors of NSSI. Further, Neuroticism, Agreeableness, and Risk Preference were associated with dyscontrolled behaviors. Our results add further support on personality-relevant self-destructive behaviors in BPD. A combined diagnostic assessment could offer clinically meaningful insights about the causes of self-destruction in BPD to expand current therapeutic repertoires.

Reasons for Living Inventory for Adolescents: Psychometric Properties Among Portuguese Adolescents

2018 ◽  
pp. 003022281881934 ◽  
Author(s):  
Marta Sofia Ventosa Brás ◽  
Cláudia Isabel Guerreiro Carmo ◽  
Saul Neves de Jesus
Keyword(s):  
Factor Analysis ◽  
Protective Factors ◽  
Psychometric Properties ◽  
Factor Model ◽  
Five Factor Model ◽  
Temporal Stability ◽  
Good Reliability ◽  
Reasons For Living ◽  
Reasons For Living Inventory ◽  
Portuguese Adolescents

Reasons for living are protective factors against suicidal behavior in adolescents. One of the most useful measures to assess them is the Reasons for Living Inventory for Adolescents (RFL-A) developed by Osman et al. The goal of this study was to examine the psychometric properties of its Portuguese version of the RFL-A. To this end, we recruited 512 high school adolescents (mean age = 16.7 years), who completed the RFL-A, a Suicidal Ideation Questionnaire, and a hopelessness scale. Exploratory factor analysis replicated the original five-factor model and confirmatory factor analysis obtained satisfactory adjustment values. The RFL-A shows good reliability (internal consistency and temporal stability) as well as good convergent, discriminant, and concurrent validities. These results indicate that the RFL-A is a valid and reliable measure to study protective factors against suicidal behaviors in Portuguese adolescents.

The Multidimensional Mortality Awareness Measure and Model

2015 ◽  
Vol 70 (3) ◽  
pp. 317-341 ◽  
Author(s):  
Oona Levasseur ◽  
Mark R. McDermott ◽  
Kathryn D. Lafreniere
Keyword(s):  
Construct Validity ◽  
Risk Taking ◽  
Factor Model ◽  
Five Factor Model ◽  
Demographic Variables ◽  
Underlying Structure ◽  
Item Pool ◽  
Health Attitudes ◽  
Internal Reliability ◽  
Multidimensional Measure

For each of eight literature-identified conceptual dimensions of mortality awareness, questionnaire items were generated, producing 89 in all. A total of 359 participants responded to these items and to questionnaires measuring health attitudes, risk taking, rebelliousness, and demographic variables. Multivariate correlational analyses investigated the underlying structure of the item pool and the construct validity as well as the reliability of the emergent empirically derived subscales. Five components, rather than eight, were identified. Given the item content of each, the associated mortality awareness subscales were labeled as legacy, fearfulness, acceptance, disempowerment, and disengagement. Each attained an acceptable level of internal reliability. Relationships with other variables supported the construct validity of these empirically derived subscales and more generally of this five-factor model. In conclusion, this new multidimensional measure and model of mortality awareness extends our understanding of this important aspect of human existence and supports a more integrative and optimistic approach to mortality awareness than previously available.

scholarly journals The Five-Factor Personality Inventory for ICD-11: A Facet-Level Assessment of the ICD-11 Trait Model

2019 ◽  
Author(s):  
Joshua R. Oltmanns ◽  
Thomas A. Widiger
Keyword(s):  
Personality Disorder ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Inventory ◽  
Self Report ◽  
Theoretical Structure ◽  
Specific Assessment ◽  
Data Collections ◽  
Domain Level ◽  
Report Measure

The ICD-11 includes a dimensional model of personality disorder assessing five domains of maladaptive personality. To avoid unnecessary complexity, the ICD-11 model includes assessment of personality traits only at the domain level. A measure exists to assess the domains of the ICD-11 model (the Personality Inventory for ICD-11; PiCD), yet a more rich and useful assessment of personality is provided at the facet level. We used items from the scales assessing the five-factor model of personality disorder (FFMPD) to develop the Five-Factor Personality Inventory for ICD-11 (FFiCD), a new 121-item, 20-facet, self-report measure of the ICD-11 maladaptive personality domains at the facet level. Further, the FFiCD includes 47 short scales organized beneath the facets—at the “nuance” level. Items were selected and evaluated empirically across two independent data collections, and the resulting scales were further validated in a third data collection. Correlational and factor analytic results comparing the scales of the FFiCD to the five-factor model, PiCD, and Personality Inventory for DSM-5 (PID-5) supported the validity of the theoretical structure of the FFiCD and the ICD-11 model. The FFiCD may be a useful instrument for clinicians and researchers interested in a more specific assessment of maladaptive personality according to the dimensional ICD-11 personality disorder model.

Personality Disorders as Collections of Traits

2019 ◽  
pp. 40-70
Author(s):  
Joshua D. Miller
Keyword(s):  
Personality Disorder ◽  
Construct Validity ◽  
Personality Traits ◽  
Personality Disorders ◽  
General Model ◽  
Alternative Model ◽  
Factor Model ◽  
Five Factor Model ◽  
Empirical Relations ◽  
Expert Ratings

This chapter argues that personality disorders can and should be understood as collections of basic personality traits from a general model of personality, namely the five-factor model (FFM). It reviews evidence for the convergence of FFM personality disorder profiles across multiple approaches—expert ratings (i.e., researchers and clinicians) and empirical relations. It discusses how to score the personality disorders from the FFM and provides evidence for the convergent, discriminant, and construct validity of this approach. The chapter also demonstrates how the new alternative model for personality disorders can be embedded within the more established and robust FFM literature.

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