Construct validity of the Child Behavior Checklist: Effects of item overlap on second-order factor structure.

1992 ◽  
Vol 4 (1) ◽  
pp. 113-116 ◽  
Author(s):  
Gregg M. Macmann ◽  
David W. Barnett ◽  
Steffani A. Burd ◽  
Trina Jones ◽  
Paul A. LeBuffe ◽  
...  
Keyword(s):  
Construct Validity ◽  
Child Behavior ◽  
Factor Structure ◽  
Child Behavior Checklist ◽  
Second Order ◽  
Order Factor

scholarly journals Cuestionario del Burnout Deportivo (ABQ): Análisis y validación en el deporte mexicano

2020 ◽  
Vol 20 (2) ◽  
pp. 189-200
Author(s):  
Dahiana Salazar González ◽  
Abril Cantú Berrueto ◽  
Jeanette M. López-Walle ◽  
Rosendo Berengüí Gil
Keyword(s):  
Psychometric Properties ◽  
Factor Structure ◽  
Second Order ◽  
Factorial Invariance ◽  
Spanish Version ◽  
Factorial Validity ◽  
Men And Women ◽  
Athlete Burnout ◽  
Order Factor

Athlete Burnout Questionnaire (ABQ; Raedeke y Smith, 2001) es un instrumento que mide el burnout específico en el deporte el cual se ha utilizado a nivel mundial. En México aún no se cuenta con un estudio que valide sus propiedades psicométricas, por ello, el objetivo de este estudio es validar el Cuestionario de Burnout Deportivo (ABQ) en el contexto mexicano, mediante el análisis de fiabilidad, validez factorial de segundo orden e invarianza factorial por género. Se evaluó a 2,612 deportistas con la versión al castellano (Balaguer, Castillo, Duda, Quested y Morales, 2011) del Cuestionario del Burnout Deportivo (ABQ; Athlete Burnout Questionnaire, Raedeke y Smith, 2001). Los resultados muestran fiabilidad; se confirma una estructura factorial de segundo orden y las cargas factoriales e interceptos se consideran invariantes entre hombres y mujeres. Se concluye que el ABQ es instrumento apropiado para las investigaciones e intervenciones en el deporte del contexto mexicano. Athlete Burnout Questionnaire (ABQ, Raedeke and Smith, 2001) is an instrument that measures burnout in sport, widely spread and used worldwide. In Mexico there is still no study to validate its psychometric properties. Therefore, the objective of this study is to validate Cuestionario de Burnout Deportivo, evaluating reliability, factorial validity and factorial invariance by gender. We evaluated 2612 athletes with spanish version (Balaguer, Castillo, Duda, Quested and Morales, 2011) of Athlete Burnout Questionnaire (ABQ). The results show satisfactory levels of reliability, a second-order factor structure is confirmed and factor charges and intercepts are considered invariant between men and women. It is concluded that ABQ is an appropriate instrument for research and interventions in sport of Mexican context. Athlete Burnout Questionnaire (ABQ; Raedeke e Smith, 2001) é um instrumento que mede o burnout específico no esporte, amplamente difundido e usado em todo o mundo. No México ainda não tem um estudo para validar as suas propriedades psicométricas, por conseguinte, o objectivo deste estudo consiste em validar o Questionário de neutralização Deportivo (ABQ) no contexto mexicano, avaliar a fiabilidade, validade fatorial de segunda ordem e a invariância fatorial por gênero. Foram avaliadas; 2612 atletas para a versão castelhana (Balaguer, Castillo, Duda, Quested e Morales, 2011) Burnout Questionário Deportivo (ABQ, Athlete Burnout Questionnaire, Raedeke e Smith de 2001). Os resultados mostram níveis satisfatórios de confiabilidade. A estrutura fatorial, cargas fatoriais e interceptos são considerados invariantes entre homens e mulheres. ABQ conclui-se que o instrumento adequado para pesquisas e intervenções no esporte do contexto mexicano.

Symptom differentiation of anxiety and depression across youth development and clinic-referred/nonreferred samples: An examination of competing factor structures of the Child Behavior Checklist DSM-oriented scales

2013 ◽  
Vol 25 (4pt1) ◽  
pp. 1005-1015 ◽  
Author(s):  
Maggi Price ◽  
Charmaine Higa-McMillan ◽  
Chad Ebesutani ◽  
Kelsie Okamura ◽  
Brad J. Nakamura ◽  
...  
Keyword(s):  
Child Behavior ◽  
Youth Development ◽  
Factor Structure ◽  
Child Behavior Checklist ◽  
Factor Model ◽  
Five Factor Model ◽  
Anxiety And Depression ◽  
Depressive Symptomology ◽  
Model Research ◽  
Competing Models

AbstractThis study examined the psychometric properties of the DSM-oriented scales of the Child Behavior Checklist (Achenbach, Dumenci, & Rescorla, 2003) using confirmatory factor analysis to compare the six-factor structure of the DSM-oriented scales to competing models consistent with developmental theories of symptom differentiation. We tested these models on both clinic-referred (N = 757) and school-based, nonreferred (N = 713) samples of youths in order to assess the generalizability of the factorial structures. Although previous research has supported the fit of the six-factor DSM-oriented structure in a normative sample of youths ages 7 to 18 (Achenbach & Rescorla, 2001), tripartite model research indicates that anxiety and depressive symptomology are less differentiated among children compared to adolescents (Jacques & Mash, 2004). We thus examined the relative fit of a six- and a five-factor model (collapsing anxiety and depression) with younger (ages 7–10) and older (ages 11–18) youth subsamples. The results revealed that the six-factor model fit the best in all samples except among younger nonclinical children. The results extended the generalizability of the rationally derived six-factor structure of the DSM-oriented scales to clinic-referred youths and provided further support to the notion that younger children in nonclinical samples exhibit less differentiated symptoms of anxiety and depression.

Factor Structure of the Research Training Environment Scale-Revised:

1997 ◽  
Vol 25 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Jeffrey H. Kahn ◽  
Charles J. Gelso
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Research Training ◽  
Second Order ◽  
Training Environment ◽  
Environment Scale ◽  
Order Factor ◽  
Research Training Environment ◽  
Interpersonal Dimension

The factor structure of the Research Training Environment Scale-Revised was examined in a sample of 270 graduate students in counseling psychology. This confirmatory factor analysis assessed the fit of a nine-factor model corresponding to the respective subscales on the measure, as well as the fit of a second-order factor structure suggested by an exploratory factor analysis of data. The second-order factor structure fit very well when conducted on manifest (i.e., observed) subscale total scores; the results were more ambiguous when first-order latent factors were included in the factor structure. The analyses suggested that an instructional dimension and an interpersonal dimension are global factors of the research training environment.

The Factor Structure of Child Behavior Checklist Scores With Elementary School Students Referred to Counseling Within Low-Income Communities

2019 ◽  
pp. 153450841989509
Author(s):  
Saundra M. Tabet ◽  
Mary K. Perleoni ◽  
Dalena Dillman Taylor ◽  
Viki P. Kelchner ◽  
Glenn W. Lambie
Keyword(s):  
Child Behavior ◽  
Factor Structure ◽  
Low Income ◽  
Child Behavior Checklist ◽  
Principal Component ◽  
Internal Consistency Reliability ◽  
School Students ◽  
Low Income Families ◽  
American Children ◽  
Parsimonious Model

The Child Behavior Checklist (CBCL) is one of the most frequently used assessments of social, emotional, and behavioral functioning; however, previous research has noted inconsistency in the factor structure and items included on the Child Behavior Checklist for Ages 6 to 18 Years (CBCL/6-18) when tested with diverse samples of client populations. Thus, the purpose of our investigation was to examine the factor structure of CBCL/6-18 scores ( N = 459) with diverse American children referred to receive school-based mental health counseling enrolled in five Title I elementary schools in the Southeastern United States. We performed confirmatory factor analysis (CFA) and principal component analysis (PCA) on CBCL/6-18 scores to examine the factor structure and internal consistency reliability of the data. Results demonstrated an inadequate fit for model and further data analyses resulted in a three-factor, 32-item model (41.40% of the variance explained). Implications of the findings support a new conceptual framework of the CBCL/6-18 to provide a more parsimonious model when working with diverse populations, specifically children from low-income families.

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