An examination of the factor structure of the Beck Depression Inventory-II in a neurorehabilitation inpatient sample

2009 ◽  
Vol 15 (1) ◽  
pp. 142-147 ◽  
Author(s):  
RICHARD J. SIEGERT ◽  
FRANK H. WALKEY ◽  
LYNNE TURNER-STOKES
Keyword(s):  
Factor Analysis ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Psychological Symptoms ◽  
Strong Support ◽  
Symptoms Of Depression ◽  
Confirmatory Factor ◽  
Specific Factors ◽  
The Common

AbstractThe Beck Depression Inventory-II (BDI-II) is widely used for assessing depression in neurorehabilitation. Given the concern that the somatic items might be misleading, we examined its factor structure in 353 inpatients. Exploratory factor analysis was undertaken to compare two- to five-factor solutions. Confirmatory factor analysis was then used to test the best exploratory solutions for goodness of fit on a subsample. Both provided strong support for a general depression factor and two specific factors, one somatic and one cognitive/affective. The BDI-II provides a meaningful score of overall depression, and it can also yield two subscores—one measuring somatic symptoms and the other measuring psychological symptoms of depression. To avoid confusing the common symptoms of neurological disability with depression in neurorehabilitation, clinicians need to consider all three scores carefully. (JINS, 2009, 15, 142–147.)

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.

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 Development and psychometric properties of the Nursing Student Academic Resilience Inventory (NSARI): A mixed-method study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252473
Author(s):  
Tayyebeh Ali-Abadi ◽  
Abbas Ebadi ◽  
Hamid Sharif Nia ◽  
Mohsen Soleimani ◽  
Ali Asghar Ghods
Keyword(s):  
Factor Analysis ◽  
Nursing Students ◽  
Factor Structure ◽  
Mixed Method ◽  
Goodness Of Fit ◽  
Nursing Student ◽  
Academic Resilience ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Qualitative Phase

Introduction Resilience has been proposed as a suitable solution to better deal with nursing students in cases of challenges but the complex and multidimensional nature of resilience has made its measurement challenging. This study aimed to develop and validate a new inventory theory-driven labeled Nursing Student Academic Resilience Inventory. Methods This study was performed with an exploratory sequential mixed-method design. In the qualitative phase of the study, individual interviews were conducted by including 15 participants to elicit the concept of resilience through purposive sampling. In the quantitative phase, psychometric analysis of the extracted items was performed using face, content, and construct validities (exploratory and confirmatory factor analyses) on a sample size of 405 nursing students. Besides, reliability has been tested using internal consistency and test-retest methods. According to the COSMIN standards, beside two important indicators of validity and reliability, responsiveness and interpretability were also considered. Results A 6-factor structure (optimism, communication, self-esteem/evaluation, self-awareness, trustworthiness, and self-regulation) with 24 items were extracted in terms of the derived categories from the qualitative phase. In confirmatory factor analysis, the χ2/df ratio was calculated as 2.11 for the NSARI six-factor structure. Suitable values were obtained for the goodness of fit indices (CFI = 0.904, AGFI = 0.885, IFI = 0.906, PCFI = 0.767, and RMSEA = 0.053). In the second-order factor analysis, AVE = 0.70 indicated the existence of both convergent and divergent validities. The Cronbach’s alpha and omega coefficients were investigated as (0.66–0.78) and (0.66–0.80), respectively. The AIC was between 0.33 and 0.45 for all factors, which is an acceptable rate. Additionally, an intraclass correlation coefficient (ICC) was obtained as .903 for the whole instrument (CI .846- .946, P <0.0001). Conclusion Multidimensional nature of resilience was supported through exploring its 6-factor structures in the nursing students’ field. This tool also showed an acceptable validity and reliability for measuring resilience in the population of nursing students.

scholarly journals Factor Structure and Measurement Invariance Across Gender of the Beck Depression Inventory-II in Adolescent Psychiatric Patients

2020 ◽  
Vol 11 ◽  
Author(s):  
Ferdinand Keller ◽  
Inken Kirschbaum-Lesch ◽  
Joana Straub
Keyword(s):  
Measurement Invariance ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Clinical Sample ◽  
Factor Models ◽  
Bifactor Model ◽  
General Factor ◽  
Factor Analyses ◽  
Specific Factors

The revised version of the Beck Depression Inventory (BDI-II) is one of the most frequently applied questionnaires not only in adults, but also in adolescents. To date, attempts to identify a replicable factor structure of the BDI-II have mainly been undertaken in adult populations. Moreover, most of the studies which included minors and were split by gender lacked confirmatory factor analyses and were generally conducted in healthy adolescents. The present study therefore aimed to determine the goodness of fit of various factor models proposed in the literature in an adolescent clinical sample, to evaluate alternative solutions for the factor structure and to explore potential gender differences in factor loadings. The focus was on testing bifactor models and subsequently on calculating bifactor statistical indices to help clarify whether a uni- or a multidimensional construct is more appropriate, and on testing the best-fitting factor model for measurement invariance according to gender. The sample comprised 835 adolescent girls and boys aged 13–18 years in out- and inpatient setting. Several factor models proposed in the literature provided a good fit when applied to the adolescent clinical sample, and differences in goodness of fit were small. Exploratory factor analyses were used to develop and test a bifactor model that consisted of a general factor and two specific factors, termed cognitive and somatic. The bifactor model confirmed the existence of a strong general factor on which all items load, and the bifactor statistical indices suggest that the BDI-II should be seen as a unidimensional scale. Concerning measurement invariance across gender, there were differences in loadings on item 21 (Loss of interest in sex) on the general factor and on items 1 (Sadness), 4 (Loss of pleasure), and 9 (Suicidal Thoughts) on the specific factors. Thus, partial measurement invariance can be assumed and differences are negligible. It can be concluded that the total score of the BDI-II can be used to measure depression severity in adolescent clinical samples.

The internal structure of the Work-related Risk and Integrity Scale

2017 ◽  
Vol 48 (2) ◽  
pp. 268-278 ◽  
Author(s):  
Casper JJ van Zyl ◽  
Gideon P de Bruin
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Rasch Analysis ◽  
Goodness Of Fit ◽  
Strong Support ◽  
Work Related ◽  
Related Risk ◽  
Confirmatory Factor

Personality-based integrity tests are used in selection procedures to reduce the chance of hiring employees who are likely to engage in counterproductive work behaviour. This study reports the internal psychometric properties of a personality-based measure developed for this purpose. Data collected from 1353 working adults were used to investigate the internal consistency reliability and to examine construct validity with confirmatory factor analysis and Rasch analysis. Results showed that the reliability estimates for all the scales of the assessment were satisfactory. For the confirmatory factor analysis, inspection of the incremental (comparative fit index and Tucker–Lewis index) and absolute (root mean square error of approximation) goodness-of-fit values found strong support for the construct validity of all the scales. Infit statistics from Rasch analysis provided further support for construct validity, with items from all the scales fitting the Rasch model. The confirmatory and Rasch analysis demonstrated that unidimensional, coherent, and meaningful latent constructs are being measured on the Work-related Risk and Integrity Scale. Overall, results found excellent support for the internal psychometric properties of the instrument in a culturally diverse context.

Factor Structure of the STAXI-2-AX and its Relationship to Burnout in Housewives

2010 ◽  
Vol 13 (1) ◽  
pp. 418-430 ◽  
Author(s):  
José Moral de la Rubia ◽  
Mónica Teresa González Ramírez ◽  
René Landero Hernández
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Determine Factor ◽  
Dimensional Structure ◽  
Related Factors ◽  
Confirmatory Factor

This study was conducted in order to determine factor structure and reliability of STAXI-2-AX/EX (Spielberger, 1999) and to calculate the correlation between STAXI-2-AX/EX and the Housewives Burnout Questionnaire (CUBAC). The study sample included 226 housewives. Dimensional structure was estimated using exploratory and confirmatory factor analysis. Factor analysis results of STAXI-2-AX/EX showed that a four related factors model had an adequate goodness of fit, eliminating three items. Regarding the CUBAC, a two related factors structure presented the best goodness of fit, which improve if five items were eliminated. Finally, as we expected, the correlation between the two scales was positive (r= .38. We suggest that this study should be replicated in other countries.

Factor Structure of The Beck Depression Inventory in a University Sample

2003 ◽  
Vol 92 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Herbert W. Helm ◽  
Mark D. Boward
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Principal Components ◽  
Varimax Rotation ◽  
Common Variance ◽  
Factor Solution ◽  
The Common ◽  
Components Analysis

Factor analysis was performed on the Beck Depression Inventory with a university sample to examine its potential multidimensionality. A principal components analysis with an oblimin and varimax rotation produced a two-factor solution. These factors were labeled Cognitive–Affective and Physiological and accounted for approximately 39% of the common variance. This finding is consistent with multidimensionality of the inventory and with a similar study of college students. The commonalities of the two studies suggest the reliability (internal consistency) of the Cognitive-Affective and Physiological constructs among “minimally” depressed university samples.

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.

scholarly journals Three-Factor Physical Perfectionism Scale as a New Tool for the Assessment of the Pathogenic Appearance Standards in the Modern Culture

2020 ◽  
Vol 28 (4) ◽  
pp. 98-117
Author(s):  
A.B. Kholmogorova ◽  
A.A. Rakhmanina
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Fit Indices ◽  
Modern Culture ◽  
Gender Invariance ◽  
Symptoms Of Depression ◽  
Confirmatory Factor ◽  
Cultural Standards ◽  
Three Factor

The paper presents a three-factor version of the Physical Perfectionism Scale. The study was conducted on a sample of students living in Moscow (n=125) and Astrakhan (n=75), including 155 women and 45 men (Mage=19,5; SD=1,83). The factor structure of the questionnaire was confirmed by means of confirmatory factor analysis. The model did not pass the test for gender invariance but showed high fit indices regardless of the cultural standards adopted in the place of residence of the respondents. The identified factors were found to be significantly associated with dissatisfaction with one’s appearance, perceived socio-cultural pressure, as well as fear of negative assessment, and the severity of symptoms of depression.

scholarly journals Adaptation of Teacher Retention Scale into Turkish Culture: A sudy of validity and reliability

2019 ◽  
Vol 16 (4) ◽  
pp. 1180-1196
Author(s):  
Ayça Kaya ◽  
Türkan Argon
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Teacher Retention ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
English Language ◽  
English Summary ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Turkish Culture

This study involves the adaptation of Teacher Retention Scale designed by Joyce Marie Brydson Alexander (2010) into Turkish via teachers. To ensure the language validity of the scale during the adaptation into Turkish culture, translation, back-translation and expert opinion methods have primarily been used. A linguistic equivalency form has then been used to ensure the linguistic equivalency of the scale. To test the linguistic equivalency of the scale, English Language Teachers have been used at certain intervals (English-Turkish; Turkish-English) and it has been found that there are positive and meaningful correlations between English and Turkish form scores. It has been demonstrated that the scale owns a unidimensional structure with 6 sections as a result of exploratory and confirmatory factor analysis conducted in order to determine the factor structure of the scale. The total item correlation coefficients of Teacher Retention Scale varies from ,584 to ,769. It has been concluded that these coefficients are as expected. Besides, factor load values have been found around ,671 and ,835. For instance, Cronbach’s Alpha internal consistency coefficient has been measured  (α=.889). The variation between Upper and Lower groups measured as 27% has been found meaningful. The factor structure obtained via Exploratory Factor Analysis has been verified by the outcomes of Confirmatory Factor Analysis in terms of item statistics except for item no 2 and item no 5. Confirmatory Factor Analysis suggests that the factor load values vary from ,37 to ,91. These values have been interpreted as medium and high factor loads. In addition, the values regarding multiple correlation (R2) vary from 14 to ,83. Thus, it has been found that R2 value is at high and mediocre levels. It has also been demonstrated that X2/df, RMSEA and NNFI values were not at desired levels prior to modification and that the values of goodness of fit (items 4-6) have been pulled up to desired levels following the modification. It has also been found that retention views levels correspond to “I agree” level. In conclusion, Teacher Retention Scale is a unidimensional scale of 6 items as well as a valid and reliable testing instrument. ​Extended English summary is in the end of Full Text PDF (TURKISH) file.   Özet Bu araştırma ile Joyce Marie Brydson Alexander (2010) tarafından geliştirilen Öğretmenin Okulda Kalma Tutumu Ölçeği’nin öğretmenler üzerinde Türkçe’ye uyarlanması çalışması yapılmıştır. Dil geçerliği aşamasında ölçeğin Türk kültürüne uyarlanmasında öncelikle çeviri, geri-çeviri ve uzman görüşü yöntemlerine başvurulmuştur. Daha sonra ölçeğin dil eşdeğerliği için dilsel eşdeğer form uygulaması yapılmıştır. Ölçeğin dilsel eşdeğerliğinin test edilmesinde İngilizce öğretmenlerine belirli aralıklarla (İngilizce-Türkçe; Türkçe-İngilizce) uygulama yapılmış; İngilizce ve Türkçe formların puanları arasında pozitif ve anlamlı korelasyonlar olduğu saptanmıştır. Ölçeğin faktör yapısının belirlenmesi amacıyla uygulanan açımlayıcı ve doğrulayıcı faktör analizleri sonucunda ölçeğin 6 maddeden oluşan tek boyutlu bir yapı gösterdiği ortaya konulmuştur. Öğretmenin Okulda Kalma Tutumu Ölçeği için yapılan madde toplam korelasyon katsayılarının ,584-,769 arasında değiştiği ve bu katsayıların istenen düzeyde olduğu görülmüştür. Ayrıca faktör yük değerlerinin ,671 ile ,835 arasında olduğu ortaya çıkmıştır. Ölçeğin Cronbach Alpha iç tutarlılık katsayısı (α=.889) hesaplanmıştır. Alt-Üst %27’lik gruplar arasındaki fark anlamlı bulunmuştur. AFA sonucunda elde edilen faktör yapısı madde 2 ve madde 5 haricinde madde istatistikleri açısından DFA bulguları ile doğrulanmıştır. DFA sonucunda maddelerin faktör yük değerlerinin ,37 ile ,91 arasında değiştiği tespit edilmiştir. Söz konusu değerler orta ve yüksek faktör yükü olarak değerlendirilmiştir. Öte yandan çoklu korelasyon karesine ilişkin değerler (R2), 14 ile ,83 arasında değişmektedir. Bu nedenle R2 değerinin yüksek ve orta düzeyde olduğu görülmüştür. Ayrıca modifikasyon öncesi X2/df, RMSEA ve NNFI değerlerinin istenilen ölçütte olmadığı; ancak yapılan modifikasyonlardan sonra (Madde 4-6) uyum iyiliği değerlerinin istenilen seviyeye çıktığı görülmüştür. Ayrıca öğretmenlerin okulda kalma tutumları görüşlerinin “katılıyorum” düzeyine karşılık geldiği görülmüştür. Sonuç olarak, Öğretmenin Okulda Kalma Tutumu Ölçeği’nin toplam 6 maddeden oluşan tek boyutlu geçerli ve güvenilir bir ölçme aracı olduğu sonucuna ulaşılmıştır.

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