scholarly journals Risk Intelligence Scale and its Relationship with Risk Readiness and Emotional Intelligence

2020 ◽  
Vol 28 (4) ◽  
pp. 59-78
Author(s):  
T.V. Kornilova ◽  
E.M. Pavlova
Keyword(s):  
Emotional Intelligence ◽  
Negative Attitude ◽  
Intelligence Scale ◽  
Face To Face ◽  
Russian Version ◽  
Stress Vulnerability ◽  
Confirmatory Factor ◽  
Subjective Risk ◽  
Decision Making Factors ◽  
Risk Intelligence

We present the results of validating the Subjective Risk Intelligence Scale (Craparo et al., 2018) in the Russian sample. The study tested the hypotheses about the relationships between subjective risk intelligence, acceptance of uncertainty and risk, and emotional intelligence. The participants (N=588) included 473 women and 115 men (Mage=27.09, SD=10.35); 260 people were tested online, and the rest — face-to-face. We used the Subjective Risk Intelligence Scale (SRIS), New Questionnaire of Tolerance for Uncertainty, Personal Decision-Making Factors, and Emotional Intelligence Scale (EmIn). Exploratory and confirmatory factor analyzes established the four-factor structure of the questionnaire similar to the original. We found pairs of correlating scales that demonstrate emotional rejection of uncertainty and cognitive productive acceptance. Negative Attitude towards Uncertainty and Emotional Stress Vulnerability was higher in individuals with lower emotional intelligence, willingness to take risks, and tolerance for uncertainty. Problem Solving Self-Efficacy and Imaginative Capability correlated with emotional intelligence, willingness to take risks, and tolerance for uncertainty. The Russian version of SRIS has good psychometric characteristics, and we recommend it as a reliable tool to diagnose a person’s attitude towards uncertainty and risk; however, the understanding of subjective risk intelligence as a personal or cognitive characteristic is unclear.

scholarly journals Is Emotional Intelligence Correlated With Values Among Primary Schoolers?

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110207
Author(s):  
Kerem Coskun ◽  
Ozlem Ulu Kalin ◽  
Arcan Aydemir
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Regression Analysis ◽  
Primary School ◽  
School Children ◽  
Pearson Correlation ◽  
Relevant Literature ◽  
Primary School Children ◽  
Intelligence Scale ◽  
Confirmatory Factor

The present study sought to develop a scale to measure the values adoption of primary school children and explore whether emotional intelligence of primary school children is associated with values which are taught through curricular activities. First, the Value Adoption Scale (VAS) was developed in Study 1 by conducting exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) and correlation was examined in Study 2. Data were collected using the Ten Years Emotional Intelligence Scale (TYEIS) and the Value Scale consisting of eight items. Data were analyzed with Pearson correlation coefficient and regression analysis. Results of data analysis indicated that there was a moderate correlation between emotional intelligence and values, but regression analysis revealed that emotional intelligence had weak predictive power for values adoption. It was concluded that teaching values through curricular activities is not useful to foster emotional intelligence among primary school children. Results of the research are discussed and addressed along with the relevant literature.

Subjective Risk Intelligence Scale

2018 ◽  
Author(s):  
Guiseppe Craparo ◽  
Paola Magnano ◽  
Anna Paolillo ◽  
Valentina Costantino
Keyword(s):  
Intelligence Scale ◽  
Subjective Risk ◽  
Risk Intelligence

Validation of the Schutte Self-Report Emotional Intelligence Scale With American College Students

2016 ◽  
Vol 36 (2) ◽  
pp. 175-181 ◽  
Author(s):  
Xiaopeng Gong ◽  
Sharon E. Paulson
Keyword(s):  
Emotional Intelligence ◽  
Online Survey ◽  
Factor Model ◽  
Current Data ◽  
Model Fit ◽  
Self Report ◽  
Intelligence Scale ◽  
Confirmatory Factor Analyses ◽  
American Students ◽  
Confirmatory Factor

The current study examined the factor structure of the Schutte Self-Report Emotional Intelligence (SSREI) scale with an American college sample ( n = 404, 322 females, 88.9% Whites). Data were collected through an online survey, and confirmatory factor analyses were conducted to test several proposed factor models from previous studies. The results showed that the Ng et al. two-level factor model fit the current data best. Implications of the study and the usefulness of SSREI scale among American students were discussed.

scholarly journals Tolerance for Uncertainty and Patterns of Decision-Making in Complex Problem-Solving Strategies

2020 ◽  
Vol 4 (3) ◽  
pp. 58
Author(s):  
Vitalii Epishin ◽  
Nataliya Bogacheva
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Negative Attitude ◽  
Decisional Conflict ◽  
Complex Problem ◽  
Complex Problem Solving ◽  
Decision Making Factors ◽  
Problem Solving Strategies ◽  
Risk Intelligence

Current studies of complex problem-solving do not commonly evaluate the regulatory role of such personality-based variables as tolerance for uncertainty, risk-readiness, and patterns for coping with decisional conflict. This research aims to establish the contribution of those traits into individual parameters of complex problem-solving strategies. The study was conducted on 53 healthy individuals 17 to 29 years old (M = 20.42; SD = 2.34). Our own computerized complex problem task “The Anthill” was developed for this research. We identified five measurable parameters of the participants’ problem-solving strategies: preferred orientational level (POL); orientational level variability (OLV); class quotas‘ range (R); mean and median quotas shift (MS and MeS); and abrupt changes of strategy (AC). Psychodiagnostic methods included: new questionnaire of tolerance/intolerance for uncertainty; personal decision-making factors questionnaire; Melbourne Decision Making Questionnaire; Subjective Risk Intelligence Scale; Eysencks’ Impulsiveness Scale. The study showed the role of tolerance for uncertainty, risk-readiness, negative attitude toward uncertainty, and decision-making styles in the regulation of complex problem-solving strategies. Specifically, procrastination, tolerance for uncertainty, and risk-readiness were significant predictors of individual strategy indicators, such as POL, OLV, and MeS. Thus, personality traits were shown to regulate resource allocation strategies and the required level of orientation in a complex problem.

scholarly journals Faktor-Faktor yang Mempengaruhi Penyesuaian Perkawinan

2019 ◽  
Vol 7 (2) ◽  
pp. 120-135
Author(s):  
Amelia Suci Latifah ◽  
Zulfa Indira Wahyuni
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Regression Analysis ◽  
Confirmatory Factor Analysis ◽  
Big Five ◽  
Sampling Technique ◽  
Dyadic Adjustment ◽  
Intelligence Scale ◽  
Dyadic Adjustment Scale ◽  
Confirmatory Factor

abstractThe sampling technique used in this study is non-probability sampling technique that is purposive sampling. In this study used Dyadic Adjustment Scale (DAS) developed by Spanier (1976), Big Five Inventory (BFI) developed by John, O. P & Srivastava, S. (1999) and Emotional Intelligence Scale developed by Salovey & Mayer (1990). The validity of the measuring instrument was tested using the Confirmatory Factor Analysis (CFA) technique with Lisrel 8.70 software and to test the research hypothesis using multiple regression analysis using SPSS 21 software. The results of the study using multiple regression analysis showed that all independent variables used had a significant effect on marital adjustment with a variant proportion of 16.4%, while the remaining 83.6% is influenced by other variables other than research. Meanwhile, the results of the analysis of each variable separately show that the personality type variables conscientiousness and openness to experience have a significantly to marital adjustment. While personality types extraversion, agreeableness, neuroticsm, emotional intelligence, gender, duration of marriage and income not significant effect on marital adjustment.AbstrakPenelitian ini bertujuan untuk mengetahui pengaruh tipe kepribadian big five extraversion, agreeableness, conscientiousness, neuroticsm, openness, kecerdasan emosional, jenis kelamin, usia perkawinan dan penghasilan terhadap penyesuaian perkawinan. Penelitian ini dilakukan pada 220 individu Betawi yang telah menikah dengan usia perkawinan 1-5 tahun. Teknik yang digunakan dalam penelitian ini adalah teknik non-probability sampling yaitu purposive sampling. Penelitian ini menggunakan alat ukur Dyadic Adjustment Scale (DAS) dikembangkan oleh Spanier (1976), Big Five Inventory (BFI) dikembangkan oleh John, O. P & Srivastava, S. (1999) dan Emotional Intelligence Scale dikembangkan Salovey & Mayer (1990). Validitas alat ukur diuji dengan menggunakan teknik Confirmatory Factor Analysis (CFA) dengan software Lisrel 8.70 dan untuk menguji hipotesis penelitian menggunakan analisis regresi berganda dengan menggunakan software SPSS 21. Hasil penelitian menunjukan bahwa seluruh variabel bebas yang digunakan berpengaruh signifikan terhadap penyesuaian perkawinan dengan proporsi varian sebesar 16,4%, sedangkan sisanya 83,6% dipengaruhi oleh variabel lain diluar penelitian. Sementara, hasil analisis masing-masing variabel secara terpisah menunjukan bahwa variabel tipe kepribadian conscientiousness dan openness to experience berpengaruh signifikan terhadap penyesuaian perkawinan. Sedangkan tipe kepribadian extraversion, agreeableness, neuroticsm, kecerdasan emosional, jenis kelamin, usia perkawinan dan penghasilan tidak signifikan berpengaruh terhadap penyesuaian perkawinan.

Validity and Reliability of a Brief Emotional Intelligence Scale (BEIS-10)

2010 ◽  
Vol 31 (4) ◽  
pp. 198-208 ◽  
Author(s):  
Kevin A. Davies ◽  
Andrew M. Lane ◽  
Tracey J. Devonport ◽  
Jamie A. Scott
Keyword(s):  
Emotional Intelligence ◽  
Self Report ◽  
Measurement Tool ◽  
Fit Indices ◽  
Validity And Reliability ◽  
Factor Solution ◽  
Intelligence Scale ◽  
Confirmatory Factor ◽  
Salient Factor ◽  
Development And Validation

This study describes the development and validation of a brief self-report measure of emotional intelligence based on Salovey and Mayer’s (1990) conceptualization. In stage one, the 33-item Emotional Intelligence Scale (EIS: Schutte et al., 1998 ) was assessed for content validity by a panel of experts. The panel deemed 17 items unsuitable for further analysis. In stage two, a theoretically derived 5-factor solution and a unidimensional model were subjected to confirmatory factor analysis (CFA) in a student-athlete sample (n = 955). Results supported the multidimensional solution. The Brief Emotional Intelligence Scale (BEIS-10) was developed by extracting the two items from each factor with the most salient factor loadings. CFA results yielded good fit indices for the 10-item, 5-factor solution. Finally, stage three provided evidence of test-retest stability for the BEIS-10 over a 2-week period in a sample of 111 student-athletes. The BEIS-10 is offered as a valid and reliable measurement tool that has particular utility in situations where brevity is important.

Factor Structure of the Korean Version of Wong and Law’s Emotional Intelligence Scale

Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 3-7 ◽  
Author(s):  
Eriko Fukuda ◽  
Donald H. Saklofske ◽  
Katsuo Tamaoka ◽  
Hyunjung Lim
Keyword(s):  
Emotional Intelligence ◽  
Factor Structure ◽  
Factor Model ◽  
Model Fit ◽  
Future Research ◽  
Intelligence Scale ◽  
Korean Version ◽  
Confirmatory Factor ◽  
Emotional Appraisal ◽  
Regulation Of Emotion

This study reports the factor structure of a Korean version of the 16-item Wong and Law Emotional Intelligence Scale (WLEIS) for a sample of 161 Korean university students. Confirmatory factor analysis supported the four-factor model of the WLEIS: (1) self-emotional appraisal, (2) others’ emotional appraisal, (3) use of emotion, and (4) regulation of emotion. However, improvement of the model fit after removing three items suggests the need for future research on the cross-cultural measurement invariance of the WLEIS.

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