Metacognitive beliefs in depressed in-patients: adaptation and validation of the short version of the Metacognitions Questionnaire (MCQ-30) for French clinical and non-clinical samples

2020 ◽  
Vol 48 (4) ◽  
pp. 498-502
Author(s):  
Axel Baptista ◽  
Charlotte Soumet-Leman ◽  
Arnauld Visinet ◽  
Roland Jouvent
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Clinical Sample ◽  
Clinical Samples ◽  
French Version ◽  
Confirmatory Factor ◽  
Metacognitive Beliefs ◽  
Method Analysis

AbstractBackground:The short form of the Metacognitions Questionnaire (MCQ-30) is a brief multi-dimensional measure which explores the metacognitive processes and beliefs about worry and cognition that are central to the vulnerability and maintenance of emotional disorders.Aims:The first aim of the study was to create and validate a French version of the MCQ-30 in a non-clinical and a clinical sample of depressed in-patients.Method:A French adaptation of the MCQ-30 was administered to a sample of 467 individuals from the general population and 73 hospitalized patients with major depressive disorder. Internal consistency was measured by Cronbach’s alpha reliability coefficients. Factor structure was assessed using a confirmatory factor analysis on the non-clinical group and a multi-trait–multi-method analysis on the psychiatric group. Criterion validity was explored by comparing the scores of the two samples. Measures of rumination, worry and depression were used to explore convergent validity.Results:Confirmatory factor analysis in the non-clinical sample indicated that the French version of the MCQ-30 has the same factor structure as the MCQ-30’s original five-factor solution. In the clinical sample, the multi-trait–multi-method analysis revealed discrepancies with the original factor structure, and the MCQ-30 and its subscales were less reliable. Our results provide evidence of a convergent validity. The MCQ-30 scores were also able to discriminate between psychiatric and non-clinical samples.Conclusions:Our results show that the French version of the MCQ-30 is a valid instrument for measuring metacognitive beliefs in non-clinical population. Further research is needed to support its use among depressed in-patients.

scholarly journals The Italian Version of Smartphone Addiction Inventory (SPAI-I) for Adolescents: Confirmatory Factor Analysis and Relation with Self-Control and Internalized-Externalized Symptoms

2021 ◽  
Author(s):  
Giulia Bassi ◽  
Adriana Lis ◽  
Tatiana Marci ◽  
Silvia Salcuni
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Self Control ◽  
Smartphone Addiction ◽  
Confirmatory Factor ◽  
Smartphone Use ◽  
Strengths And Difficulties ◽  
The Relationship

AbstractThe increased smartphone use in adolescence has led clinicians and researchers to carry out in-depth studies on the matter. Adolescents seem to be at risk of smartphone addiction because they are yet to develop self-control in smartphone use. This psychometric study aimed at examining the levels of validity evidence for the Smartphone Addiction Inventory-Italian (SPAI-I) version for adults, among adolescents. Confirmatory Factor Analysis confirmed the factor structure of the SPAI-I version for adults among adolescents but not the exploratory factor structure for adults of the original Smartphone Addiction Inventory (SPAI). Convergent validity was assessed by examining the relationship between SPAI-I, self-control, and internalized and externalized problems. A total of 446 Italian adolescents (mean age = 16.04, SD = 1.72, 36.3% males) completed the Self-Restraint Subscale of the Adolescent Self-Consciousness and the Strengths and Difficulties Questionnaires—with a specific focus on the subscales of internalized and externalized problems. Present findings suggested that the SPAI-I version could be used to assess smartphone overuse among adolescents according to a multidimensional perspective.

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.

Factor Structure of the Perfectionistic Self-Presentation Scale in Korea

2011 ◽  
Vol 109 (3) ◽  
pp. 990-1000 ◽  
Author(s):  
Dong-Gwi Lee ◽  
Hanna Suh ◽  
Hee-Kyung Lee
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Model Fit ◽  
Self Presentation ◽  
Korean Version ◽  
Confirmatory Factor ◽  
Korean College Students

This study explored the factor structure of the Korean version of the Perfectionistic Self-Presentation Scale, originally developed by Hewitt and colleagues in 2003 with three factors (Perfectionistic Self-promotion, Non-display of Imperfection, and Non-disclosure of Imperfection). In Study 1, a confirmatory factor analysis was performed on the Korean version with 27 items for 151 Korean college students, but the model fit was poor. Subsequently, an exploratory factor analysis was conducted, and the results yielded three factors as found in Hewitt, et al., yet with 20 items rather than the original 27 items. This new version had good internal consistency (Cronbach's alpha = .88); convergent validity estimate was established with a measure of self-presentation motivation. In Study 2, to support the structural validity of the Korean version, another confirmatory factor analysis was conducted with 203 Korean college students. The model fit was good, but a few amendments were made.

Psychometric Properties of the Unidimensional Relationship Closeness Scale (URCS) for a Brazilian Sample

2017 ◽  
Vol 20 ◽  
Author(s):  
Roosevelt Vilar ◽  
Rafaella de C. R. Araujo ◽  
Gabriel Lins de H. Coelho ◽  
Alex S. M. Grangeiro ◽  
Valdiney V. Gouveia
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Convergent Validity ◽  
Temporal Stability ◽  
Relationship Status ◽  
Brazilian Sample ◽  
Relationship Closeness ◽  
Confirmatory Factor

AbstractThe present research brings psychometric evidences for the Unidimensional Relationship Closeness Scale (URCS), aiming at verifying its adequacy for use in the Brazilian context. Participants were 468 university students with mean age of 21.2 years. They completed a survey composed by the URCS, the Basic Values Survey (BSV), and demographic questions. Through Exploratory (Eigenvalue = 6.61) and Confirmatory Factor Analysis (CFI = .937, TLI = .923), the results showed that the same one-factor structure from the original version of the scale was found. These results were also invariant across gender and relationship status (∆SRMR < .03), and presented evidences of internal consistence (α = .94), temporal stability (ICC = .903, p < .001), and convergent validity (rmale = .32, rfemale = .25, p < .001). In conclusion, this measure has shown to be psychometrically adequate for use in Brazil.

scholarly journals The School Counselor STEM Advocacy Survey (SC-STEM-AS)

2021 ◽  
Vol 25 (1) ◽  
pp. 2156759X2110231
Author(s):  
Robert R. Martinez ◽  
Sejal Parikh Foxx ◽  
Jacob Olsen ◽  
Stephen D. Kennedy
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
School Counselors ◽  
Factor Structure ◽  
Convergent Validity ◽  
School Counselor ◽  
Factor Model ◽  
National Sample ◽  
Confirmatory Factor ◽  
Good Internal Consistency

We examined data from a national sample of 917 school counselors to determine the factor structure of the School Counselor STEM Advocacy Survey. An exploratory and confirmatory factor analysis supported use of the two-factor model. Survey scores demonstrated good internal consistency and convergent validity. We discuss differences between key demographics and school counselors.

scholarly journals Bayesian and Maximum-Likelihood Modeling and Higher-Level Scores of Interpersonal Problems With Circumplex Structure

2021 ◽  
Vol 12 ◽  
Author(s):  
Anneke C. Weide ◽  
Vera Scheuble ◽  
André Beauducel
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Clinical Sample ◽  
Level Structure ◽  
Interpersonal Problems ◽  
Online Questionnaire ◽  
Confirmatory Factor ◽  
Three Factor

Difficulties in interpersonal behavior are often measured by the circumplex-based Inventory of Interpersonal Problems. Its eight scales can be represented by a three-factor structure with two circumplex factors, Dominance and Love, and a general problem factor, Distress. Bayesian confirmatory factor analysis is well-suited to evaluate the higher-level structure of interpersonal problems because circumplex loading priors allow for data-driven adjustments and a more flexible investigation of the ideal circumplex pattern than conventional maximum likelihood confirmatory factor analysis. Using a non-clinical sample from an online questionnaire study (N = 822), we replicated the three-factor structure of the IIP by maximum likelihood and Bayesian confirmatory factor analysis and found great proximity of the Bayesian loadings to perfect circumplexity. We found additional support for the validity of the three-factor model of the IIP by including external criteria-Agreeableness, Extraversion, and Neuroticism from the Big Five and subclinical grandiose narcissism-in the analysis. We also investigated higher-level scores for Dominance, Love, and Distress using traditional regression factor scores and weighted sum scores. We found excellent reliability (with Rtt ≥ 0.90) for Dominance, Love, and Distress for the two scoring methods. We found high congruence of the higher-level scores with the underlying factors and good circumplex properties of the scoring models. The correlational pattern with the external measures was in line with theoretical expectations and similar to the results from the factor analysis. We encourage the use of Bayesian modeling when dealing with circumplex structure and recommend the use of higher-level scores for interpersonal problems as parsimonious, reliable, and valid measures.

scholarly journals Development and validation of the American Dream Scale: Assessing the petty bourgeois mentality

2018 ◽  
Vol 6 (2) ◽  
pp. 449-483 ◽  
Author(s):  
Glenn Gamst ◽  
Roy Kwon ◽  
Lawrence S. Meyers
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Factor Structure ◽  
Convergent Validity ◽  
American Dream ◽  
Structural Model ◽  
Future Research ◽  
Convenience Sample ◽  
Confirmatory Factor

The present research developed and validated an instrument, the American Dream Scale (ADS), to measure a small business orientation conceptualized as petty bourgeois mentality. The initial exploratory study, using principal components analysis with promax rotation, was performed on the data from a convenience sample of 349 university students. A total of 17 items of the original 45 prototype items emerged from the analysis to comprise the ADS inventory that represented two factors named Creative Work Potential and Be My Own Boss. A second independent convenience sample of 306 university students provided data for a confirmatory factor analysis supporting the factor structure and an evaluation of a structural model predicting ADS. A third independent convenience sample of 502 US adults provided data for an additional confirmatory factor analysis again supporting the factor structure as well as providing convergent validity evidence to support use of the scale. Implications for future research are discussed in the context of how the ADS may help to elucidate fundamental petty bourgeois attitudes among various strata in the US working class.

Development of a Performance Anxiety Scale for Music Students

2013 ◽  
Vol 28 (4) ◽  
pp. 199-206 ◽  
Author(s):  
Okam C Cırakoğlu ◽  
Gülce C Şentürk
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Performance Anxiety ◽  
Anxiety Scale ◽  
Music Students ◽  
Confirmatory Factor ◽  
Test Retest Reliability

In the present research, the Performance Anxiety Scale for Music Students (PASMS) was developed in three successive studies. In Study 1, the factor structure of PASMS was explored and three components were found: fear of stage (FES), avoidance (AVD) and symptoms (SMP). The internal consistency of the subscales of PASMS, which consisted of 27 items, varied between 0.89 and 0.91. The internal consistency for the whole scale was found to be 0.95. The correlations among PASMS and other anxiety-related measures were significant and in the expected direction, indicating that the scale has convergent validity. The construct validity of the scale was assessed in Study 2 by confirmatory factor analysis. After several revisions, the final tested model achieved acceptable fits. In Study 3, the 14-day test-retest reliability of the final 24-item version of PASMS was tested and found to be extremely high (0.95). In all three studies, the whole scale and subscale scores of females were significantly higher than for males.

scholarly journals Psychometric Properties of the Reynolds Child Depression Scale in Community and Clinical Samples

2008 ◽  
Vol 11 (2) ◽  
pp. 641-649 ◽  
Author(s):  
Anna Figueras Masip ◽  
Juan Antonio Amador Campos ◽  
Joan Guàrdia Olmos
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Clinical Sample ◽  
Five Factor Model ◽  
Community Sample ◽  
Depression Scale ◽  
Clinical Samples ◽  
Child Depression ◽  
Confirmatory Factor

The factor structure of the Reynolds Child Depression Scale (RCDS; Reynolds, 1989), analyzed by confirmatory factor analysis and the scale's psychometric characteristics in a sample of 315 participants (140 boys and 175 girls) and a clinical sample of 62 participants (37 boys and 25 girls) between 10 and 12 years old, are presented. Two models are tested with confirmatory factor analysis: a one-factor model and a five-factor model. Both models show a good fit, but the one-factor model was chosen because it is the most parsimonious. The reliability coefficient ranged from .87 (at test) to .89 (at retest) in the community sample, and was .90 in the clinical sample (at test). Test-retest reliability was .66 in the community sample. Concurrent validity with other self-reports that measure depressive symptomatology was high, both in the community sample (.76) and the clinical sample (.71). There were no significant sex differences but there were differences due to age (school grade).

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.

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