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.

Confirmatory factor analysis of the Beck Anxiety Inventory among earthquake survivors in China

2018 ◽  
Vol 46 (9) ◽  
pp. 1461-1474 ◽  
Author(s):  
Jing An ◽  
Minjiang Yu ◽  
Mingwang Cheng ◽  
Guoshen Chen ◽  
Guoqiang Rui ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Reliability And Validity ◽  
Beck Anxiety Inventory ◽  
Confirmatory Factor ◽  
Potential Factor ◽  
Earthquake Survivors ◽  
The City

We explored the factor structure of the Beck Anxiety Inventory (BAI) with a sample of 523 people aged 21–44 years from 4 counties and districts in the city of Ya'an, China, who had survived the 2013 earthquake there. Exploratory factor analysis was used to identify the potential factor structure of the BAI and confirmatory factor analysis was used to evaluate the goodness of fit of the factor structure model. The results indicated that the BAI had satisfactory reliability and validity but that the factor structure was unstable; therefore, it was difficult to name the 4 extracted factors. However, in general, our results showed that the BAI is an appropriate instrument to use for detecting the anxiety level of earthquake survivors in China.

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.

scholarly journals Psychometric Properties of the 25-Item Connor-Davison Resilience Scale: Preliminary Data for a Romanian Military Population

2021 ◽  
Vol 26 (1) ◽  
pp. 31-38
Author(s):  
Iulia-Clarisa Giurcă ◽  
Adriana Baban ◽  
Sebastian Pintea ◽  
Bianca Macavei
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Preliminary Data ◽  
Model Fit ◽  
Military Population ◽  
Resilience Scale ◽  
Confirmatory Factor

AbstractThe following study is aimed at investigating the construct validity of the 25-item Connor-Davidson Resilience Scale (CD-RISC 25) on a Romanian military population. The exploratory factor analysis was conducted on 434 male military participants, aged between 24 and 50 years (M = 34.83, S.D. = 6.14) and the confirmatory factor analysis was conducted on a sample of 679 military participants, of 605 men and 74 women, aged between 18 and 59 years (M = 38.37, S.D. = 9.07). Factor analysis of the scale showed it to be a bidimensional, rather than a multidimensional instrument, as the original five-factor structure was not replicated in this military Romanian sample. Moreover, EFAs suggested that a 14-item bidimensional model should be retained and CFA confirmed that this model fit the data best.

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.

scholarly journals Allah Merkezlilik Ölçeği (AMÖ): Güvenirlik ve Geçerlik Çalışması

2020 ◽  
Vol 6 (2) ◽  
pp. 297-327
Author(s):  
Ümit Horozcu ◽  
Ahmet Celalettin Güneş
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Social Life ◽  
Reliability And Validity ◽  
Reliability Coefficient ◽  
Single Factor ◽  
One Dimensional ◽  
Confirmatory Factor ◽  
Natural Flow

In this study the reliability and validity analysis of “Scale of Allah Centeredness” (SAC) are presented. This scale has been developed to measure the extent to which people's feelings in the natural flow of social life, especially those that directly concern them, center God on their assessment of these situations, in other words, to what extent they accept God's consent as a measure of goodness and righteousness. Two main applications were carried out in the study except the two pretests. The data of the first study on 326 people over the age of 16 were subjected to factor analysis and as a result a 8-item one-dimensional scale structure was obtained. Again, with the data of the second study conducted on 185 adults over 16 years of age, the 8-item single-factor structure obtained as a result of the first analysis was subjected to confirmatory factor analysis. Based on the confirmatory factor analysis, the following scores were obtained: X2 /df = 1.73, RMSEA= 0.074, NFI = 0.95, NNFI = 0.97, CFI = 0.98, RFI = .98, IFI = .93, RMR = 0.062, SRMR = 0.046, GFI = 0.94 ve AGFI = 0.89. The reliability coefficient (Cronbach’s Alpha) of 8 items and the single-factor construct was .89. Also, the results of the split half reliability (Spearman Brown) test were as follows: Reliability coefficient of the first half was .76, the reliability coefficient of the second half is .77 and the correlation coefficient (r) between the two halves is .81. The values revealed show that the scale is a reliable and valid scale.

Factor Structure of the Perfectionistic Self-Presentation Scale in Korea

2011 ◽  
Vol 109 (3) ◽  
pp. 990-1000 ◽  
Author(s):  
Dong-Gwi Lee ◽  
Hanna Suh ◽  
Hee-Kyung Lee
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Model Fit ◽  
Self Presentation ◽  
Korean Version ◽  
Confirmatory Factor ◽  
Korean College Students

This study explored the factor structure of the Korean version of the Perfectionistic Self-Presentation Scale, originally developed by Hewitt and colleagues in 2003 with three factors (Perfectionistic Self-promotion, Non-display of Imperfection, and Non-disclosure of Imperfection). In Study 1, a confirmatory factor analysis was performed on the Korean version with 27 items for 151 Korean college students, but the model fit was poor. Subsequently, an exploratory factor analysis was conducted, and the results yielded three factors as found in Hewitt, et al., yet with 20 items rather than the original 27 items. This new version had good internal consistency (Cronbach's alpha = .88); convergent validity estimate was established with a measure of self-presentation motivation. In Study 2, to support the structural validity of the Korean version, another confirmatory factor analysis was conducted with 203 Korean college students. The model fit was good, but a few amendments were made.

scholarly journals A-15 Examining the Construct Validity of the Halstead Category Test - Computer Version: A Confirmatory Factor Analysis

2019 ◽  
Vol 34 (6) ◽  
pp. 874-874
Author(s):  
W Goette ◽  
A Schmitt ◽  
J Nici
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Factor Structure ◽  
Model Fit ◽  
Slide Projector ◽  
Category Test ◽  
Computer Version ◽  
Halstead Category Test ◽  
Confirmatory Factor

Abstract Objective To examine evidence of construct validity for the Halstead Category Test – Computer Version (HCT-CV). Previous factor analyses on the HCT generally found the following structure: a Counting factor comprised of Subtests I and II; a Spatial Reasoning factor of Subtests III, IV, and VII; and a Proportional Reasoning factor of Subtests V and VI. Method Data were collected from a diagnostically heterogeneous sample of 105 adults (56 males, 49 females) referred for neuropsychological evaluation who completed the HCT-CV. The sample had an average educational attainment of 14.37 years (SD = 2.98 years) and an average age of 62.30 years (SD = 17.53). The total number of errors made on each of the seven HCT subtests were computed for each participant, and these data were used to complete a regularized confirmatory factor analysis based on the identified factor structure of the HCT. Results The confirmatory factor analysis converged normally. The model fitting the HCT factor structure demonstrated excellent overall fit to the HCT-CV data: χ2(11) = 12.20, p = .35; RMSEA = 0.03 (95% CI: 0.00 to 0.11); SRMR = 0.03; CFI = 1.00; TLI = 0.99. Analysis of the residuals and modification indexes further confirmed the excellent model fit. Conclusions The HCT-CV demonstrates what appears to be an unchanged factor structure to the HCT. This finding supports the computerized version construct validity as being seemingly unchanged from that of the slide projector version. This model fit may be viewed as promising for the comparability between the original version and the computerized version.

scholarly journals Evaluating Model Fit in Bayesian Confirmatory Factor Analysis With Large Samples: Simulation Study Introducing the BRMSEA

2017 ◽  
Vol 78 (4) ◽  
pp. 537-568 ◽  
Author(s):  
Huub Hoofs ◽  
Rens van de Schoot ◽  
Nicole W. H. Jansen ◽  
IJmert Kant
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Sample Size ◽  
Simulation Study ◽  
Reliability And Validity ◽  
Model Fit ◽  
Model Complexity ◽  
Large Sample ◽  
Large Samples ◽  
Confirmatory Factor

Bayesian confirmatory factor analysis (CFA) offers an alternative to frequentist CFA based on, for example, maximum likelihood estimation for the assessment of reliability and validity of educational and psychological measures. For increasing sample sizes, however, the applicability of current fit statistics evaluating model fit within Bayesian CFA is limited. We propose, therefore, a Bayesian variant of the root mean square error of approximation (RMSEA), the BRMSEA. A simulation study was performed with variations in model misspecification, factor loading magnitude, number of indicators, number of factors, and sample size. This showed that the 90% posterior probability interval of the BRMSEA is valid for evaluating model fit in large samples ( N≥ 1,000), using cutoff values for the lower (<.05) and upper limit (<.08) as guideline. An empirical illustration further shows the advantage of the BRMSEA in large sample Bayesian CFA models. In conclusion, it can be stated that the BRMSEA is well suited to evaluate model fit in large sample Bayesian CFA models by taking sample size and model complexity into account.

scholarly journals Factor Structure, Reliability and Validity of the Institutional Culture Assessment Scale (ICAS)

2020 ◽  
Author(s):  
Gabriela Massaro Carneiro Monteiro ◽  
Carolina Meira Moser ◽  
Luciana Terra de Oliveira ◽  
Glen Owens Gabbard ◽  
Pricilla Braga Laskoski ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Reliability And Validity ◽  
Institutional Culture ◽  
Well Being ◽  
Assessment Scale ◽  
Structure Reliability ◽  
Unidimensional Model ◽  
Confirmatory Factor

Introduction: Work environment can affect the employees, fostering well-being versus emotional burden. The aim of this study was to develop the Institutional Culture Assessment Scale (ICAS), and evaluate its Factor Structure, Reliability and Validity in a Brazilian sample of medical students and physicians in different settings and phases of the medical career. Method: 2537 individuals were evaluated by an online questionnaire. The sample was split in half for independent testing of Exploratory Factor Analysis and Confirmatory Factor Analysis. We then used Confirmatory Factor Analysis (CFA) to test the best solutions in the second half of the sample. Then, considering a unidimensional model solution, an item response theory (IRT) analysis was conducted. Simple linear regression analysis was performed to investigate associations between ICAS factor scores and internal validators (burnout scores), using again the second half of the sample. Result: Parallel analysis revealed two factors. The first factor encompassed items involving the institution and supervisors. The second factor encompassed items involving peers. We decided to performed the next analysis with a unidimensional construct based solely on institution/supervisor items. A unidimensional model including the remaining seven items from the ICAS instrument revealed an excellent fit with the data. All items loaded significantly on the unidimensional latent trait with factor loadings ranging from 0.583 to 0.869. McDonalds Omega was 0.89, showing a high internal consistency. Conclusion: This study presents a valid and reliable scale to assess aspects of institutional culture connected to the relationships with superiors/supervisors and to the relation to the institutions themselves.

scholarly journals Revalidation of the Cognitive and Affective Mindfulness Scale — Revised (CAMS-R) With Its Newly Developed Chinese Version (Ch-CAMS-R)

2015 ◽  
Vol 10 ◽  
Author(s):  
Hau-Lung Chan ◽  
Lap-Yan Lo ◽  
Muriel Lin ◽  
Nigel Thompson
Keyword(s):  
United States ◽  
Factor Analysis ◽  
Hong Kong ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Chinese Population ◽  
Full Range ◽  
Reliability And Validity ◽  
Chinese Version ◽  
Confirmatory Factor

Considering the strengths and weaknesses of currently available inventories measuring mindfulness for Chinese population, a need for a short and comprehensive inventory was identified. The present study therefore developed a written Chinese version of the Cognitive and Affective Mindfulness Scale — Revised (CAMS-R) that excels in its full range of conceptual coverage, employs widely accessible language, and is brief in length. The reliability and validity of the Ch-CAMS-R was examined and found to be compatible with the original version and with other inventories measuring mindfulness. Results of confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) suggested allocation of two question items, without posing a threat to the four-factor (including attention, awareness, present-focus and acceptance) structure in both the CAMS-R and Ch-CAMS-R. In general, the present study supports that this four-factor structure is compatible with the conceptualidation of mindfulness in both United States and Hong Kong samples.

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