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 Bayesian confirmatory factor analysis and higher-level scores of interpersonal problems with circumplex structure

2021 ◽  
Author(s):  
Anneke Cleopatra Weide ◽  
Vera Scheuble ◽  
André Beauducel
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Level Structure ◽  
Interpersonal Problems ◽  
Factor Scores ◽  
Correlation Pattern ◽  
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 maximum likelihood confirmatory factor analysis. Using a nonclinical 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 also investigated higher-level scores for Dominance, Love, and Distress using traditional regression factor scores, posterior mean factor scores from Bayesian confirmatory factor analysis, and weighted sum scores. We found excellent reliability (with Rtt ≥ .90) for Dominance, Love, and Distress for all scoring methods. We found high congruence of the higher-level scores with the underlying factors and good circumplex properties of the scoring models. The correlation pattern with external measures – Agreeableness, Extraversion, and Neuroticism from the Big Five and subclinical grandiose narcissism – were in line with theoretical expectations. 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.

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.

Psychometric Properties of a Portuguese Version of the Revised Sociosexual Orientation Inventory

2016 ◽  
Vol 7 ◽  
Author(s):  
Félix Neto
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Internal Consistency ◽  
Sociosexual Orientation ◽  
Portuguese Version ◽  
Confirmatory Factor ◽  
Adequate Internal Consistency ◽  
Three Factor

Sociosexuality refers to the propensity to engage in sexual relations without closeness or commitment, varying from a restricted to an unrestricted orientation. The aim of this research was to scrutinise the psychometric properties of a Portuguese version of the revised Sociosexual Orientation Inventory (SOI-R; Penke & Asendorpf, 2008). The study included 549 persons (50% women) aged 18–75 years (M = 38.73; SD = 17.77). The psychometric properties of the SOI-R were analysed by means of confirmatory factor analysis, internal consistency, and validity. Confirmatory factor analysis showed the expected three-factor structure of the measure. The SOI-R presented adequate internal consistency. Women were less unrestricted than men in all facets of sociosexuality. This Portuguese version of the SOI-R seems to be reliable and valid for evaluating sociosexuality in a Portuguese-speaking population, and can be utilised for experimental and applied works. The significance and limitations of the results are discussed.

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.

Reasons for Living Inventory: Cross-Cultural Construct Validity

2007 ◽  
Vol 100 (3_suppl) ◽  
pp. 1259-1262 ◽  
Author(s):  
Maurizio Pompili ◽  
Paolo Girardi ◽  
Roberto Tatarelli ◽  
David Lester ◽  
James R. Rogers
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Factor Structure ◽  
Cross Cultural ◽  
Reasons For Living ◽  
Confirmatory Factor ◽  
Cultural Construct ◽  
Reasons For Living Inventory ◽  
Three Factor

The construct validity of the Reasons for Living Inventory was explored with a sample of 340 Italian students. The results of confirmatory factor analysis did not support strongly the six-factor structure previously identified. An exploratory factor analysis indicated a three-factor structure, suggesting that researchers should be cautious in assuming the validity of the six-factor structure in cross-cultural settings.

scholarly journals Three-Factor Physical Perfectionism Scale as a New Tool for the Assessment of the Pathogenic Appearance Standards in the Modern Culture

2020 ◽  
Vol 28 (4) ◽  
pp. 98-117
Author(s):  
A.B. Kholmogorova ◽  
A.A. Rakhmanina
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Fit Indices ◽  
Modern Culture ◽  
Gender Invariance ◽  
Symptoms Of Depression ◽  
Confirmatory Factor ◽  
Cultural Standards ◽  
Three Factor

The paper presents a three-factor version of the Physical Perfectionism Scale. The study was conducted on a sample of students living in Moscow (n=125) and Astrakhan (n=75), including 155 women and 45 men (Mage=19,5; SD=1,83). The factor structure of the questionnaire was confirmed by means of confirmatory factor analysis. The model did not pass the test for gender invariance but showed high fit indices regardless of the cultural standards adopted in the place of residence of the respondents. The identified factors were found to be significantly associated with dissatisfaction with one’s appearance, perceived socio-cultural pressure, as well as fear of negative assessment, and the severity of symptoms of depression.

Assessing professionals' adoption readiness for eMental Health: Development and Validation of the eMental Health Adoption Readiness (eMHAR) Scale (Preprint)

2021 ◽  
Author(s):  
Milou Feijt ◽  
Yvonne de Kort ◽  
Joyce Westerink ◽  
Joyce Bierbooms ◽  
Inge Bongers ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Healthcare Professionals ◽  
Mental Healthcare ◽  
Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Three Factor

BACKGROUND Over the last decades, significant advances have been made in the development of digital tools and applications for mental healthcare. Yet, despite growing evidence for their effectiveness, their acceptance and use in clinical practice remain low. To gain further insights in the process of eMental Health adoption and to facilitate future research on this topic, a validated and easy-to-use instrument to assess professionals' readiness to adopt eMental Health is necessary. OBJECTIVE The aim of this study was to develop and validate an instrument for assessing mental healthcare professionals' adoption readiness for eMental Health. METHODS Item generation was guided by literature and input from mental healthcare professionals and experts in survey development. Exploratory factor analyses were conducted on an initial set of 29 items completed by a sample of mental healthcare professionals (N = 432), after which the scale was reduced to 15 items in an iterative process. The factor structure thus obtained was subsequently tested with a confirmatory factor analysis with a second sample of mental healthcare professionals (N = 363). Internal consistency, convergent validity and predictive validity of the eMHAR Scale were assessed. RESULTS Exploratory factor analyses resulted in a three-factor solution with 15 items. The factors were analyzed and labeled as ‘perceived benefits and applicability of EMH’, ‘EMH proactive innovation’, and ‘EMH self-efficacy’. These factors were confirmed through a confirmatory factor analysis. The total scale and subscales showed good internal consistency (Cronbach’s alpha = 0.73-0.88) and acceptable convergent and predictive relations to related constructs. CONCLUSIONS The constructed eMHAR Scale showed a conceptually interpretable three-factor structure with satisfactory characteristics and relationships with relevant concepts. Its ease of use allows for a quick acquisition of data that can contribute to understanding and facilitating the process of adoption of eMental Health by clinical professionals.

Explanatory and Confirmatory Factor Structure of Beck Scale for Suicide Ideation in Non-clinical Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S139-S139 ◽  
Author(s):  
R. Alsalman ◽  
B. Alansari
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Suicide Ideation ◽  
Factor Model ◽  
Clinical Sample ◽  
Self Report ◽  
Kuwait University ◽  
Factor Ii ◽  
Confirmatory Factor ◽  
Three Factor

IntroductionThe Beck Scale for Suicidal Ideation (BSS) is a self-report 19-item scale preceded by five screening items. The BSS and its screening items are intended to assess a patient's thoughts, plans and intent to commit suicide. All 24 items are rated on a three-point scale (0 to 2). In this study, scores from the five screening items were included in the overall score. Therefore, total scores could range from 0 to 48.There is no study until this date that examines the factor structure of BSS among Kuwaitis.ObjectivesThe current study investigated the original three-factor model of the (BSS) in non-clinical sample.MethodsSample one consisted of 285 males and 300 female students from Kuwait University while sample two consisted of 201 males and 302 females from Kuwait University. The Arabic version of BSS was administered to participants. Explanatory factor based on sample 1 and conformity factor analysis based on sample 2 of BSS were used in this study.ResultsThe explanatory and confirmatory factor analysis of (BSS) extracts three factors and three structures of BSS. Factor I = active suicidal desire; Factor II = preparation; Factor III = passive suicidal desire. In addition, the results revealed no significant gender differences in the factor structure of BSS.ConclusionsThe results of both confirmatory and exploratory factor analysis indicated that the original three-factor model provided the best fit for the two genders.

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