Convergent and Discriminative Validity of Interview and Questionnaire Measures of Personality Disorder in Mentally Disordered Offenders: A Multitrait-Multimethod Analysis Using Confirmatory Factor Analysis

2004 ◽  
Vol 18 (2) ◽  
pp. 129-150 ◽  
Author(s):  
Ronald Blackburn ◽  
John P. Donnelly ◽  
Caroline Logan ◽  
Stanley J. D. Renwick
Keyword(s):  
Factor Analysis ◽  
Personality Disorder ◽  
Confirmatory Factor Analysis ◽  
Mentally Disordered Offenders ◽  
Discriminative Validity ◽  
Mentally Disordered ◽  
Confirmatory Factor ◽  
Questionnaire Measures

scholarly journals ECODI-27 Dissocial Behavior Scale in Peruvian Adolescents: A Psychometric Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 578-585
Author(s):  
Fernando Joel Rosario Quiroz ◽  
Jemmel Mario Monge Paucar ◽  
Eddy Eugenio Garcia Garcia ◽  
Martín Castro Santisteban ◽  
Dino Fernando Mosquera Torres
Keyword(s):  
Factor Analysis ◽  
Secondary Education ◽  
Personality Disorder ◽  
Confirmatory Factor Analysis ◽  
Antisocial Personality Disorder ◽  
Psychometric Analysis ◽  
Antisocial Personality ◽  
New Model ◽  
Confirmatory Factor ◽  
Behavior Scale

Dissocial behaviors precede antisocial personality disorder, which can generate great difficulties for every society, which is why it is important to establish identification mechanisms for this phenomenon to propose prevention mechanisms in educational settings. This study sought to explore the psychometric benefits of the Disocial Behavior Scale in Peruvian adolescents of secondary education, working with a sample of 1000 students aged 15 to 18 years old. A new model of 23 items is proposed with a distribution of three factors, which shows adequate adjustment indices obtained through the confirmatory factor analysis χ2 / gl = 3.36, CFI = 0.94, TLI = 0.93, SRMR = 0.04, RMSEA = 0.05 [95% CI 0.04-0.05], AIC = 69248. The reliability values for the three proposed factors are optimal, Factor 1 (ω =.884), Factor 2 (ω =.845), Factor 3 (ω =.787). It is concluded that the Dissocial Behavior Scale in the proposed version of 23 items with three factors presents adequate psychometric indices.

Evidence-based subtypes in functional dyspepsia with confirmatory factor analysis: Psychosocial and physiopathological correlates

2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Functional Dyspepsia ◽  
Evidence Based ◽  
Confirmatory Factor

The French Version of the Revised Child Anxiety and Depression Scale (RCADS) in a Nonclinical Sample

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Generalized Anxiety Disorder ◽  
Child Anxiety ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Generalized Anxiety ◽  
French Version ◽  
Confirmatory Factor

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

Sign in / Sign up

Export Citation Format

Share Document