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 Test of Gross Motor Development—Third Edition: A Bifactor Model, Dimensionality, and Measurement Invariance

2021 ◽  
pp. 1-16
Author(s):  
Sedigheh Salami ◽  
Paulo Felipe Ribeiro Bandeira ◽  
Cristiano Mauro Assis Gomes ◽  
Parvaneh Shamsipour Dehkordi
Keyword(s):  
Measurement Invariance ◽  
Motor Development ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Bifactor Model ◽  
General Factor ◽  
Convenience Sample ◽  
Gross Motor ◽  
Measurement Models ◽  
Gross Motor Development

Aim: To examine the latent structure of the Test of Gross Motor Development—Third Edition (TGMD-3) with a bifactor modeling approach. In addition, the study examines the dimensionality and model-based reliability of general and specific contributions of the test’s subscales and measurement invariance of the TGMD-3. Methods: A convenience sample of (N = 496; Mage = 7.23 ± 2.03 years; 53.8% female) typically developed children participated in this study. Three alternative measurement models were tested: (a) a unidimensional model, (b) a correlated two-factor model, and (c) a bifactor model. Results: The totality of results, including item loadings, goodness-of-fit indexes, and reliability estimates, all supported the bifactor model and strong evidence of a general factor, namely gross motor competence. Additionally, the reliability of subscale scores was poor, and it is thus contended that scoring, reporting, and interpreting of the subscales scores are probably not justifiable. Conclusions: This study shows the advantages of using bifactor approach to examine the TGMD-3 factor structure and suggests that the two traditionally hypothesized factors are better understood as “grouping” factors rather than as representative of latent constructs. In addition, our findings demonstrate that the bifactor model appears invariant for sex.

scholarly journals Negative Problems Orientation Questionnaire for Chinese Adolescents: Bifactor Model and Measurement Invariance

2020 ◽  
Vol 11 ◽  
Author(s):  
Huiwen Xiao ◽  
Rongmao Lin ◽  
Qiaoling Wu ◽  
Saili Shen ◽  
Youwei Yan
Keyword(s):  
Measurement Invariance ◽  
Bifactor Model ◽  
Chinese Adolescents ◽  
General Factor ◽  
Problem Orientation ◽  
Domain Specific ◽  
Multiple Group ◽  
Gender And Age ◽  
Specific Factors ◽  
Negative Problem Orientation

The Negative Problem Orientation Questionnaire (NPOQ) is a widely used tool for assessing negative problem orientation (NPO). However, its construct and measurement invariance has not been adequately tested in adolescents. The present study explored the possible construct of the NPOQ and its measurement invariance in a sample of 754 Chinese adolescents (51.6% girls, all 12–18 years old). The results supported a bifactor model of the NPOQ that consists of a general factor NPO and three domain-specific factors including perceived threat, self-inefficacy, and negative outcome expectancy. A multiple-group CFA indicated that the bifactor model showed strict invariance across gender and age. The general and domain factors showed unique variance in indexes of worry, depression, anxiety, and stress, which supported well incremental validity of them. This study confirms for a bifactor conceptualization of the NPOQ and its measurement invariance across gender and age in Chinese adolescents. Additionally, it is recommended that the total score should be used to assess NPO in Chinese adolescents.

scholarly journals Factor structure of Raven's Coloured Progressive Matrices

Psico-USF ◽  
2016 ◽  
Vol 21 (2) ◽  
pp. 259-272 ◽  
Author(s):  
Monalisa Muniz ◽  
Cristiano Mauro Assis Gomes ◽  
Sonia Regina Pasian
Keyword(s):  
Standard Deviation ◽  
Factor Structure ◽  
Factor Model ◽  
Specific Factor ◽  
General Factor ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Specific Factors ◽  
Three Factor

Abstract This study's objective was to verify the factor structure of Raven's Coloured Progressive Matrices (CPM). The database used included the responses of 1,279 children, 50.2% of which were males with an average age of 8.48 years old and a standard deviation of 1.49 yrs. Confirmatory factor analyses were run to test seven models based on CPM theory and on a Brazilian study addressing the test's structure. The results did not confirm the CPM theoretical proposition concerning the scales but indicated that the test can be interpreted by one general factor and one specific factor or one general factor and three specific factors; both are bi-dimensional models. The three-factor model is, however, more interpretable, suggesting that the factors can be used as a means of screening children's cognitive developmental stage.

scholarly journals Improving the Measurement of Food Insecurity among People with HIV in South Africa: A Psychometric Examination

2021 ◽  
pp. 1-30
Author(s):  
Jasper S. Lee ◽  
Cengiz Zopluoglu ◽  
Lena S. Andersen ◽  
Amelia M. Stanton ◽  
Jessica F. Magidson ◽  
...  
Keyword(s):  
South Africa ◽  
Food Insecurity ◽  
Factor Structure ◽  
Urban Areas ◽  
Survival Rates ◽  
Bifactor Model ◽  
Hiv Care ◽  
Future Research ◽  
General Factor ◽  
Specific Factors

Abstract Objective: Food insecurity is a structural barrier to HIV care in peri-urban areas in South Africa (SA), where approximately 80% of households are moderately or severely food insecure.(1) For people with HIV (PWH), food insecurity is associated with poor ART adherence and survival rates. Yet, measurement of food insecurity among PWH remains a challenge. Design: This study examines the factor structure of the 9-item Household Food Insecurity Access Scale (HFIAS, isiXhosa-translated) among PWH in SA using a restrictive bifactor model. Setting: Primary care clinics in Khayelitsha, a peri-urban settlement in Cape Town, SA. Participants: Participants (N=440) were PWH who received HIV care in Khayelitsha screening for a clinical trial. Most were categorized as severely (n=250, 56.82%) or moderately (n=107, 24.32%) food insecure in the past 30 days. Results: Revised parallel analysis suggested a 3-factor structure, which was inadmissible. A 2-factor structure was examined but did not adequately fit the data. A 2-factor restrictive bifactor model was examined, such that all items loaded on a general factor (food insecurity) and all but two items loaded on one of two specific additional factors, which adequately fit the data (CFI=0.995, SRMR=0.019). The two specific factors identified were: anxiety/insufficient quality, and no food intake. Reliability was adequate (ω=.82). Conclusions: Results supported the use of a total score, and identified two specific factors of the HFIAS, which may be utilized in future research and intervention development. These findings help identify aspects of food insecurity that may drive relationships between the construct and important HIV-related variables.

scholarly journals The factor structure of attention-deficit/hyperactivity disorder in schoolchildren

2020 ◽  
Author(s):  
Trine Wigh Arildskov ◽  
Anne Virring ◽  
Rikke Lambek ◽  
Anders Helles Carlsen ◽  
Edmund J.S. Sonuga-Barke ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
General Population ◽  
Factor Structure ◽  
Attention Deficit ◽  
Factor Model ◽  
Clinical Sample ◽  
General Factor ◽  
Hyperactivity Disorder ◽  
Specific Factors ◽  
Three Factor

ABSTRACTThis study investigated the factor structure of attention-deficit/hyperactivity disorder (ADHD) by comparing the fit of a single-factor model, a correlated model with two or three factors, and a bifactor model with one general and two or three specific factors. Different three-factor solutions that varied with regard to the specification of the item “talks excessively” as impulsivity or hyperactivity were also tested. Parent ratings on the ADHD-Rating Scale (ADHD-RS-IV) were collected in a sample of 2044 schoolchildren (1st to 3rd grade) from the general population and in a clinical sample of 165 children and adolescents with ADHD referred to a public regional child and adolescent psychiatric hospital. Confirmatory factor analyses found a satisfactory fit for most models in both samples. However, a correlated three-factor model where “talks excessively” was included as an indicator of impulsivity and especially the bifactor version of this model with one general and three specific factors fit the data slightly better in the general population. In the clinical sample, a number of models performed equally well (the same version of the correlated three-factor model and all the bifactor models). Overall, the factor structure of ADHD seems to be better characterized by a bifactor model with a strong general factor and two or three weaker specific factors. Due to the strong general factor, we suggest emphasizing the ADHD-RS-IV total score rather than the subscale scores in clinical practice.

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.)

scholarly journals Factor Structure of the Difficulties in Emotion Regulation Scale in Treatment Seeking Adults with Eating Disorders

2019 ◽  
Vol 42 (1) ◽  
pp. 111-126 ◽  
Author(s):  
Line Nordgren ◽  
Elin Monell ◽  
Andreas Birgegård ◽  
Johan Bjureberg ◽  
Hugo Hesser
Keyword(s):  
Eating Disorders ◽  
Emotion Regulation ◽  
Anorexia Nervosa ◽  
Bulimia Nervosa ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Eating Pathology ◽  
Bifactor Model ◽  
General Factor ◽  
Difficulties In Emotion Regulation

AbstractThe Difficulties in Emotion Regulation Scale (DERS) is extensively used as a measure of emotion (dys-)regulation ability in both clinical and nonclinical populations. This is the first study to examine the factor structure of both the original 36-item and short 16-item version of the DERS in adults with eating disorders and to test measurement invariance across diagnostic subgroups. The factor structure of the scale was examined using confirmatory factor analysis in a psychiatric sample of adults with eating disorders (N = 857). Four primary factor structures were fitted to the data: (1) a unidimensional model, (2) a six-factor correlated-traits model, (3) a higher-order factor solution, and (4) a bifactor model. Measurement invariance was tested for diagnostic subgroups of anorexia nervosa and bulimia nervosa and associations between factors and eating pathology were examined in each diagnostic group. Results indicated that a modified bifactor solution fitted the data adequately for both the 36-item and 16-item version of the DERS. A general factor explained most of the variance (86%) and reliability was high for the general factor of DERS (total) but lower for the subscales. Measurement invariance of the bifactor model was supported across diagnostic subgroups and test of factor means reveled that bulimia nervosa had a higher factor mean than anorexia nervosa on the general factor. The general factor accounted for a significant proportion of variance in eating pathology. Our results support the use of the total scale of both the 36-item and 16-item version among adults with eating disorders.

Comparing Hierarchical Models of Personality Pathology

2018 ◽  
Author(s):  
Whitney R. Ringwald ◽  
Aidan G.C. Wright ◽  
Joseph E. Beeney ◽  
Paul A. Pilkonis
Keyword(s):  
Hierarchical Models ◽  
Empirical Work ◽  
Hierarchical Classification ◽  
Personality Pathology ◽  
General Factor ◽  
Factor Analyses ◽  
Conceptual Structures ◽  
Individual Personality ◽  
Exploratory Factor Analyses ◽  
Specific Factors

Two dimensional, hierarchical classification models of personality pathology have emerged as alternatives to traditional categorical systems: multi-tiered models with increasing numbers of factors and models that distinguish between a general factor of severity and specific factors reflecting style. Using a large sample (N=840) with a range of psychopathology, we conducted exploratory factor analyses of individual personality disorder criteria to evaluate the validity of these conceptual structures. We estimated an oblique, “unfolding” hierarchy and a bifactor model, then examined correlations between these and multi-method functioning measures to enrich interpretation. Four-factor solutions for each model, reflecting rotations of each other, fit well and equivalently. The resulting structures are consistent with previous empirical work and provide support for each theoretical model.

THE LEVENSON LOCUS OF CONTROL SCALES: CONFIRMATORY FACTOR ANALYSES AND EVALUATION

1997 ◽  
Vol 25 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Paul K. Presson ◽  
Steven C. Clark ◽  
Victor A. Benassi
Keyword(s):  
Locus Of Control ◽  
Factor Structure ◽  
Depressive Symptomatology ◽  
Predictive Ability ◽  
Factor Models ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Three Factor

Confirmatory factor analyses were conducted to test the factor structure of several versions of Levenson's (1973) locus of control scales. Two- and three-factor models based on all 24 of Levenson's items and on 20 of her items were tested. The 3-factor models provided a good fit. Models proposed by R. M. Shewchuk, G. A. Foelker Jr., and G. Niederehe (1990) and R. M. Shewchuk, G. A Foelker Jr., C. J. Camp, and F. Blanchard-Fields (1992) also provided a good fit of the data. In concurrent and prospective tests of the predictive ability of the various models, the 24 and 20 item versions of Levenson's models accounted for a significant amount of variance In depressive symptomatology. The three-factor models revealed that only scores on the chance scale reliably predicted time 2 depressive symptomatology. Neither of the models proposed by Shewchuk and colleagues accounted for a significant amount of variance.

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.

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