Explanatory and Confirmatory Factor Structure of Beck Anxiety Inventory in College Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S108-S108
Author(s):  
S. Kareemi ◽  
B.M. Alansari
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Clinical Sample ◽  
Self Report ◽  
Beck Anxiety Inventory ◽  
College Sample ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Males And Females ◽  
Competing Interest

IntroductionThe Beck anxiety inventory (BAI) is a widely used 21-item self-report inventory used to assess anxiety levels in adults and adolescents in both clinical and non-clinical populations. The values for each item are summed yielding an overall or total score for all 21 symptoms that can range between 0 and 63 points. A total score of 0–7 is interpreted as a “Minimal” level of anxiety; 8–15 as “Mild”; 16–25 as “Moderate”, and; 26–63 as “Severe”. There is no study until this date that examines the Explanatory and confirmatory factor structure factor structure of BAI in college student in Kuwaiti.ObjectivesThe current study investigated the original four-factor structure of the (BAI) in non-clinical sample of college students.MethodsSample one consisted of 540 males and females while sample two consisted of 600 males and females from Kuwait University undergraduates. The Arabic version of BAI was administered to participants. Explanatory factor analysis based on sample one and conformity factor analysis based on sample 2.ResultsThe results revealed four factor structures of BAI in the two samples of Kuwaiti students. Which included neurophysiological, subjective, autonomic, and panic factors.ConclusionsThe results of both confirmatory and exploratory factor analysis indicated that the original four-factor structures of the BAI do provide the best fit for the college sample.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Explanatory and Confirmatory Factor Structure of Beck Scale for Suicide Ideation in Non-clinical Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S139-S139 ◽  
Author(s):  
R. Alsalman ◽  
B. Alansari
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Suicide Ideation ◽  
Factor Model ◽  
Clinical Sample ◽  
Self Report ◽  
Kuwait University ◽  
Factor Ii ◽  
Confirmatory Factor ◽  
Three Factor

IntroductionThe Beck Scale for Suicidal Ideation (BSS) is a self-report 19-item scale preceded by five screening items. The BSS and its screening items are intended to assess a patient's thoughts, plans and intent to commit suicide. All 24 items are rated on a three-point scale (0 to 2). In this study, scores from the five screening items were included in the overall score. Therefore, total scores could range from 0 to 48.There is no study until this date that examines the factor structure of BSS among Kuwaitis.ObjectivesThe current study investigated the original three-factor model of the (BSS) in non-clinical sample.MethodsSample one consisted of 285 males and 300 female students from Kuwait University while sample two consisted of 201 males and 302 females from Kuwait University. The Arabic version of BSS was administered to participants. Explanatory factor based on sample 1 and conformity factor analysis based on sample 2 of BSS were used in this study.ResultsThe explanatory and confirmatory factor analysis of (BSS) extracts three factors and three structures of BSS. Factor I = active suicidal desire; Factor II = preparation; Factor III = passive suicidal desire. In addition, the results revealed no significant gender differences in the factor structure of BSS.ConclusionsThe results of both confirmatory and exploratory factor analysis indicated that the original three-factor model provided the best fit for the two genders.

Giving G a Meaning: An Application of the Bifactor-(S-1) Approach to Realize a More Symptom-Oriented Modeling of the Beck Depression Inventory–II

Assessment ◽  
2018 ◽  
Vol 27 (7) ◽  
pp. 1429-1447 ◽  
Author(s):  
Manuel Heinrich ◽  
Pavle Zagorscak ◽  
Michael Eid ◽  
Christine Knaevelsrud
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Clinical Sample ◽  
First Order ◽  
Confirmatory Factor ◽  
Bifactor Models ◽  
Current Article ◽  
Analysis Models

The Beck Depression Inventory–II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample ( N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative.

Factor structure and psychometric properties of Chinese version of Beck Anxiety Inventory in Chinese doctors

2016 ◽  
Vol 23 (5) ◽  
pp. 657-666 ◽  
Author(s):  
Ying Liang ◽  
Lei Wang ◽  
Jianbo Zhu
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Eastern China ◽  
Reliability And Validity ◽  
Public Hospitals ◽  
Chinese Version ◽  
Beck Anxiety Inventory ◽  
Confirmatory Factor ◽  
Potential Factor

This study analyses the factor structure and psychometric properties of the Chinese version of Beck Anxiety Inventory on Chinese doctors. Participants include 762 doctors sampled in 18 public hospitals in three cities in Eastern China. Exploratory factor analysis is employed to identify the potential factor structure of the inventory. Confirmatory factor analysis is referred to for model fit. The results indicate that the Chinese version of Beck Anxiety Inventory has satisfactory reliability and validity, but its factor structure is unstable and has great differences compared with international versions. Naming the four extracted factors is difficult. In general, the Chinese version of Beck Anxiety Inventory is appropriate for Chinese doctors and can be used as a good screener to detect the anxiety of Chinese doctors.

Confirmatory Factor Analysis of the Beck Anxiety Inventory Among Chinese Postgraduates

2018 ◽  
Vol 46 (8) ◽  
pp. 1245-1254
Author(s):  
Yicheng Zhou ◽  
Jing An ◽  
Mingwang Cheng ◽  
Liying Sheng ◽  
Guoqiang Rui ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Reliability And Validity ◽  
Model Fit ◽  
Beck Anxiety Inventory ◽  
Confirmatory Factor ◽  
Competing Models ◽  
Potential Factor ◽  
Analysis Models

We examined the factor structure of the Beck Anxiety Inventory (BAI) with 531 students at 6 universities in Nanjing to evaluate its applicability as a measure of the anxiety of Chinese postgraduates. We performed exploratory factor analysis to identify the potential factor structure of the BAI. We referred to confirmatory factor analysis models from previous studies for model fit. All 7 competing models fitted well with the students' data. The 4-factor structure proposed by Wetherell and Areán yielded the best fit. Results indicate that the BAI has satisfactory reliability and validity among Chinese postgraduates.

scholarly journals The Adolescent Resilience Questionnaire: Validation of a Shortened Version in U.S. Youths

2020 ◽  
Vol 11 ◽  
Author(s):  
Jacqueline R. Anderson ◽  
Michael Killian ◽  
Jennifer L. Hughes ◽  
A. John Rush ◽  
Madhukar H. Trivedi
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Correlation Coefficients ◽  
Internal Consistency Reliability ◽  
Self Report ◽  
Questionnaire Validation ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Report Measure

IntroductionResilience is a factor in how youth respond to adversity. The 88-item Adolescent Resilience Questionnaire is a comprehensive, multi-dimensional self-report measure of resilience developed with Australian youth.MethodsUsing a cross-sectional adolescent population (n = 3,222), confirmatory factor analysis was conducted to replicate the original factor structure. Over half of the adolescents were non-white and 9th graders with a mean age of 15.5.ResultsOur exploratory factor analysis shortened the measure for which we conducted the psychometric analyses. The original factor structure was not replicated. The exploratory factor analysis provided a 49-item measure. Internal consistency reliability for all 12 factors ranged from acceptable (α> 0.70–0.80). The revised factor total scores were highly and significantly correlated with item–total correlation coefficients (r > 0.63, p < 0.001).ConclusionThis revised shorter 49-item version of the Adolescent Resilience Questionnaire could be deployed and has acceptable psychometric properties.

Metacognitive beliefs in depressed in-patients: adaptation and validation of the short version of the Metacognitions Questionnaire (MCQ-30) for French clinical and non-clinical samples

2020 ◽  
Vol 48 (4) ◽  
pp. 498-502
Author(s):  
Axel Baptista ◽  
Charlotte Soumet-Leman ◽  
Arnauld Visinet ◽  
Roland Jouvent
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Clinical Sample ◽  
Clinical Samples ◽  
French Version ◽  
Confirmatory Factor ◽  
Metacognitive Beliefs ◽  
Method Analysis

AbstractBackground:The short form of the Metacognitions Questionnaire (MCQ-30) is a brief multi-dimensional measure which explores the metacognitive processes and beliefs about worry and cognition that are central to the vulnerability and maintenance of emotional disorders.Aims:The first aim of the study was to create and validate a French version of the MCQ-30 in a non-clinical and a clinical sample of depressed in-patients.Method:A French adaptation of the MCQ-30 was administered to a sample of 467 individuals from the general population and 73 hospitalized patients with major depressive disorder. Internal consistency was measured by Cronbach’s alpha reliability coefficients. Factor structure was assessed using a confirmatory factor analysis on the non-clinical group and a multi-trait–multi-method analysis on the psychiatric group. Criterion validity was explored by comparing the scores of the two samples. Measures of rumination, worry and depression were used to explore convergent validity.Results:Confirmatory factor analysis in the non-clinical sample indicated that the French version of the MCQ-30 has the same factor structure as the MCQ-30’s original five-factor solution. In the clinical sample, the multi-trait–multi-method analysis revealed discrepancies with the original factor structure, and the MCQ-30 and its subscales were less reliable. Our results provide evidence of a convergent validity. The MCQ-30 scores were also able to discriminate between psychiatric and non-clinical samples.Conclusions:Our results show that the French version of the MCQ-30 is a valid instrument for measuring metacognitive beliefs in non-clinical population. Further research is needed to support its use among depressed in-patients.

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.

scholarly journals Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Indonesian Palatable Eating Motives Scale (I-PEMS)

2020 ◽  
Vol 13 (1) ◽  
pp. 1-4
Author(s):  
A.D. Cahyani ◽  
A. Iskandarsyah ◽  
S. Cahyadi ◽  
W. Srisayekti
Keyword(s):  
Body Mass Index ◽  
Factor Analysis ◽  
Young Adults ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Emerging Adults ◽  
Factor Structure ◽  
Significant Difference ◽  
Confirmatory Factor ◽  
Males And Females

The purpose of this work is to establish the validity of the Indonesian Palatable Eating Motives Scale (I-PEMS) and to describe the characteristics in palatable eating motives among current Indonesian young adults. The Original Palatable Eating Motives Scale (PEMS) was translated into Indonesian and back-translated into English to confirm the conceptual and linguistic equivalence. The scale was administered to emerging adults aged 18-25 years old. Confirmatory factor analysis demonstrated that the I-PEMS has an acceptable factor structure. The result provided evidence of four factors of palatable eating motives. No significant difference from the I-PEMS score between males and females. The association was only observed between the scores of Conformity motive and Body Mass Index.

Sign in / Sign up

Export Citation Format

Share Document