An examination of the factor structure of the schutte self-report emotional intelligence (SSREI) scale via confirmatory factor analysis

2005 ◽  
Vol 39 (6) ◽  
pp. 1029-1042 ◽  
Author(s):  
Gilles E. Gignac ◽  
Benjamin R. Palmer ◽  
Ramesh Manocha ◽  
Con Stough
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Self Report ◽  
Confirmatory Factor

scholarly journals Comparing different versions of the Rahim EI questionnaire in a South African context: A confirmatory factor analysis approach

2015 ◽  
Vol 41 (1) ◽  
Author(s):  
Petrus Nel ◽  
Marieta Du Plessis ◽  
Leon Bosman
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
South African ◽  
Factor Structure ◽  
General Factor ◽  
Two Samples ◽  
Confirmatory Factor ◽  
The Impact

Orientation: Given the interest in the importance of emotional intelligence in employees and leaders with regard to performance of their jobs, it is imperative to use reliable and validinstruments to operationalise emotional intelligence.Research purpose: The purpose of the study was to assess the psychometric properties of three different versions of the Rahim emotional intelligence index (EQI), specifically withregard to its factor structure and reliability, using two different samples.otivation for the study: No previous study has investigated which version of the Rahim EQI is the most appropriate for conducting research within South African organisations. Inaddition, the question of whether the Rahim EQI measures a strong general factor has notbeen answered.Research approach, design, and method: A cross-sectional quantitative research design wasused. Two samples were used (n = 470 and n = 308). The first sample completed the 40-itemversion of the Rahim EQI, whilst the second sample completed the 30-item version of the Rahim EQI. The measurement model, representing the 22-item version of the Rahim EQI, was also fitted to both these samples. Confirmatory factor analysis was used to compare thedifferent versions, as well as conceptualisations, of the Rahim EQI.Main findings: The 22-item version of the Rahim EQI exhibited better model fit than the 40-item and 30-item versions. In addition, the bifactor model suggested that the Rahim EQIseems to measure a strong general factor (emotional intelligence) with very little evidence ofthe presence of unique group factors (self-awareness, self-regulation, motivation, empathy and social skills).Practical/managerial implications: Both the reliability and factor structure of the 22-item version of the Rahim EQI have been confirmed. The bifactor structure should inform researchers and practitioners that, in order to understand emotional intelligence, it is better to conceptualise it as a unidimensional construct.Contribution/value-add: In order to identify the most appropriate conceptualisation associated with the Rahim EQI, various goodness-of-fit statistics (e.g. comparative fit indexand root mean square error of approximation) should be consulted. The impact of the removalof items from instruments should be investigated with regard to the accuracy with which the construct is to be measured. The current study has also contributed to the literature byexamining the psychometric properties of the Rahim EQI in a South African sample.

scholarly journals An Investigation on the Factor Structure of Schutte Self Report Emotional Intelligence Test in Indian Student Sample

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Dr. Thiruchelvi Arunachalam ◽  
Dr. Yogesh Palanichamy
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Factor Structure ◽  
Factor Model ◽  
Intelligence Test ◽  
Self Report ◽  
Structure Model ◽  
Student Sample ◽  
Indian Student ◽  
Confirmatory Factor

Schutte et. al., (1998) developed and validated a measure of emotional intelligence called as SSEIT. From a pool of 62 items, Schutte et. al., (1998) extracted 33 items which were proposed to be homogenous in nature. In simple words, uni-dimensionality has been identified in Schutte et. al., (1998)’s work. This study attempts to find the factor structure of SSEIT in the Indian sample. Using exploratory factor analysis, a four factor structure model of SSEIT is reported. A four factor model has been hypothesized, which is tested using confirmatory factor analysis. The model is found to be fit with the necessary indices falling within the acceptable limits.

Psychometric Assessment of Motives for Using Cocaine in Men with Substance Use Disorders

1997 ◽  
Vol 80 (1) ◽  
pp. 189-190 ◽  
Author(s):  
L. Charles Ward ◽  
Brian C. Kersh ◽  
Debra Shanks
Keyword(s):  
Substance Use ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Self Report ◽  
Drinking Motives ◽  
Psychometric Assessment ◽  
Confirmatory Factor ◽  
Social Coping

A 15-item self-report questionnaire from a previous study of social, coping, and enhancement motives for drinking was reworded to assess motives for using cocaine. Data from 121 cocaine users indicated satisfactory reliabilities for the 3 new 5-item scales, and the fit of a 3-factor structure in confirmatory factor analysis was comparable to that of the earlier study of drinking motives. Removal of 4 items substantially improved the fit to the 3-factor model without reducing reliabilities. Some evidence of validity was inferred from a correlation between reported use of cocaine for coping and a measure of general maladjustment.

scholarly journals Developing a Japanese Version of the Baron Depression Screener for Athletes among Male Professional Rugby Players

2020 ◽  
Vol 17 (15) ◽  
pp. 5533
Author(s):  
Yasutaka Ojio ◽  
Asami Matsunaga ◽  
Kensuke Hatakeyama ◽  
Shin Kawamura ◽  
Masanori Horiguchi ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Depressive Symptoms ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Japanese Version ◽  
Self Report ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Confirmatory Factor ◽  
Rugby Players

The Baron Depression Screener for Athletes (BDSA) is a brief, valid, and reliable athlete- specific assessment tool developed in the US to assess depressive symptoms in elite athletes. We examined the applicability and reliability of a Japanese version of the BDSA (BDSA-J) in a Japanese context, and further examined the construct validity of the BDSA-J. Web-based anonymous self-report data of 235 currently competing Japanese professional male rugby players (25–29 years = 123 [52.3%]) was analyzed. A two-stage process was conducted to validate the factor structure of the BDSA-J using exploratory factor analysis in a randomly partitioned calibration sample, and confirmatory factor analysis in a separate validation sample. Cronbach’s alpha was used to assess internal consistency. Spearman’s rank-order correlation coefficients were calculated to examine convergent validity with the Kessler-6. We identified a one-factor structure for BDSA-J. Confirmatory factor analysis supported this one-factor model, revealing good model fit indices. The standardized path coefficients for each of the items were β = 0.52 to 0.79 (p < 0.001). A Cronbach’s alpha of 0.71 was obtained for the BDSA-J. BDSA-J showed significant positive correlations with the Kessler-6. The BDSA-J is an appropriate and psychometrically robust measure for identifying depressive symptoms in Japanese male rugby players.

The Suicide Probability Scale: Norms and Factor Structure

1998 ◽  
Vol 83 (2) ◽  
pp. 637-638 ◽  
Author(s):  
Courtney Bagge ◽  
Augustine Osman
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Anxiety Symptoms ◽  
Self Report ◽  
Probability Scale ◽  
Suicide Probability Scale ◽  
Confirmatory Factor ◽  
Report Measure

The present study examined the factor structure of the Suicide Probability Scale with a sample of 390 undergraduates, using confirmatory factor analysis. The original oblique four-factor structure provided a poor fit to the data. Scores on the total scale correlated .63 with scores on a validated self-report measure of mood and .51 and .42 with anxiety symptoms. Additional norms for the total scale are reported.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

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