scholarly journals Confirmatory factor analysis of the Sleep Disturbance Scale for Children (SDSC) in a clinical sample of children and adolescents

2017 ◽  
Vol 26 (5) ◽  
pp. 587-594 ◽  
Author(s):  
Angela M. Marriner ◽  
Carmela Pestell ◽  
Donna M. Bayliss ◽  
Marie McCann ◽  
Romola S. Bucks
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Sleep Disturbance ◽  
Children And Adolescents ◽  
Clinical Sample ◽  
Confirmatory Factor

Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Sample ◽  
Brief Symptom Inventory ◽  
Factorial Structure ◽  
Symptom Inventory ◽  
Confirmatory Factor ◽  
Item Checklist ◽  
General Psychological Distress

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

Cultural Humility With a Clinical Sample of Latina/o/x Americans: A Confirmatory Factor Analysis

2018 ◽  
Author(s):  
David G. Zelaya ◽  
Laura Cobourne ◽  
Shola Shodiya-Zeumault ◽  
Caleb N. Chadwick ◽  
Cassandra L. Hinger ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Clinical Sample ◽  
Cultural Humility ◽  
Confirmatory Factor

scholarly journals Psychometric properties of the Dresden Body Image Questionnaire: A multiple-group confirmatory factor analysis across sex and age in a Dutch non-clinical sample

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0181908 ◽  
Author(s):  
Mia Scheffers ◽  
Marijtje A. J. van Duijn ◽  
Ruud J. Bosscher ◽  
Durk Wiersma ◽  
Robert A. Schoevers ◽  
...  
Keyword(s):  
Body Image ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Clinical Sample ◽  
Multiple Group ◽  
Confirmatory Factor

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.

A Confirmatory Factor Analysis of the WISC-III in a Clinical Sample With Cross-validation in the Standardization Sample

2001 ◽  
Vol 7 (2) ◽  
pp. 104-116 ◽  
Author(s):  
D. Bradley Burton ◽  
Arash Sepehri ◽  
Fred Hecht ◽  
Anekke VandenBroek ◽  
Joseph J. Ryan ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cross Validation ◽  
Clinical Sample ◽  
Standardization Sample ◽  
Confirmatory Factor

scholarly journals Psychometric properties of the Children's Revised Impact of Events Scale (CRIES) with Bangladeshi children and adolescents

2014 ◽  
Author(s):  
Farah Deeba ◽  
Ronald M Rapee ◽  
Tania Prvan
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Children And Adolescents ◽  
Convergent Validity ◽  
Traumatic Events ◽  
Post Traumatic Stress ◽  
Confirmatory Factor ◽  
Impact Of Events Scale ◽  
And Gender

Identification of possible cases suffering post-traumatic stress disorder (PTSD) is important, especially in developing countries where traumatic events are typically prevalent. The Children’s Revised Impact of Events Scale is a reliable and valid measure that has two brief versions (13 items and 8 items) to assess reactions to traumatic events among young people. The current study evaluated the psychometric properties of both versions of the CRIES in a sample of 1342 children and adolescents aged 9-17 years (M=12.3 years, SD=2.12) recruited from six districts of Bangladesh. A sub-group of 120 children from four schools was re-tested on the measures within 3.5 weeks. Confirmatory factor analysis supported factor structures similar to those found in other studies for both versions of the CRIES. Multiple group confirmatory factor analysis showed gender and age-group differences within the sample, supporting established age and gender differences in prevalence of PTSD symptoms. Analyses also indicated moderate to excellent internal consistency and test-retest reliability and clear discriminant and convergent validity. These data support use of both the CRIES-13 and CRIES-8 to provide quick and psychometrically sound assessment of symptoms of PTSD among children and adolescents from Bangla-speaking communities.

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