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.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Confirmatory Factor Analysis and Gender Invariance of the Revised IRMA Scale in Nigeria

Affilia ◽  
2018 ◽  
Vol 34 (1) ◽  
pp. 83-98 ◽  
Author(s):  
Sunday B. Fakunmoju ◽  
Tina Abrefa-Gyan ◽  
Ntandoyenkosi Maphosa
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Rape Myths ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Gender Invariance ◽  
Confirmatory Factor ◽  
Gender Based ◽  
And Gender

Research scales developed in one society are often validated in another society to determine the factor structure and measurement equivalence of the scales. Using a convenience sample of 378 respondents from two cross-sectional studies, the present analyses examined confirmatory factor analysis (CFA) and gender invariance in the Illinois Rape Myth Acceptance (IRMA) Scale in Nigeria. Specifically, the analyses examined whether the scale holds similar factor structure, whether the latent means can be compared, and whether respondents interpreted items similarly or ascribed the same meaning to them across gender. Based on the analyses, CFA results validated the hypothesized multidimensional four-factor structure of IRMA, namely, “she asked for it,” “he didn’t mean to,” “it wasn’t really rape,” and “she lied.” Similarly, the IRMA measurement was invariant (partial scalar invariance) across gender, suggesting that men and women interpreted IRMA’s items and constructs similarly. Results of an independent-samples t test suggested that women were more likely than men to reject the myth that female victim of rape “lied.” In general, preliminary findings indicated that IRMA is suitable for research on rape myths in Nigeria. Knowledge generated from its use may enhance understanding of rape myths, rape-supportive behaviors, and rape prevention and victim intervention programs.

Assessing Motor and Cognitive Areas in Older People: Confirmatory Factor Analysis of Portuguese Version of Éxamen Géronto-Psychomoteur

2019 ◽  
Vol 90 (1) ◽  
pp. 50-64
Author(s):  
Ana Morais ◽  
Sofia Santos ◽  
Paula Lebre ◽  
Celeste Simões
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Older People ◽  
Factor Model ◽  
Second Order ◽  
Psychomotor Skills ◽  
Fit Indices ◽  
Portuguese Version ◽  
Confirmatory Factor ◽  
Three Factor

Aging involves changes in psychomotor performance. Few studies are focused on psychomotor skills among older people due, in part, to the inexistence of valid instruments in the field. The purpose of this article is to analyze the factor structure model of the Portuguese version of Exámen Géronto-Psychomoteur. The confirmatory factor analysis was completed in a sample of 497 older persons, aged between 60 and 99 years, with and without dementia (74.4% female; M = 78.0; standard deviation = 8.6). A baseline one-factor model was compared against 2 three-factor models (first and second order) that were developed based on the previous exploratory factor analysis. Fit indices for the one-factor model were slightly higher when compared with other models; however, the second-order model seems to be more representative of human behavior. The results of this study provide evidence to support a three-factor model: cognition, motor function, and physical aspects.

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.

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.

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 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.

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.

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