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.

Sources of Sport Confidence of Master Athletes

2004 ◽  
Vol 26 (3) ◽  
pp. 369-384 ◽  
Author(s):  
Rodney C. Wilson ◽  
Philip J. Sullivan ◽  
Nicholas D. Myers ◽  
Deborah L. Feltz
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Track And Field ◽  
Factor Analyses ◽  
Master Athletes ◽  
Mental Preparation ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses

This study examined sources of sport confidence and their relationship to trait sport confidence with master athletes. The study employed 216 athletes from 50 to 96 years of age in track and field, tennis, and swimming, using the Sources of Sport Confidence Questionnaire (SSCQ; Vealey, Hayashi, Garner-Holman, & Giacobbi, 1998). Confirmatory factor analysis failed to replicate the proposed 9-factor structure of the SSCQ. Exploratory factor analyses revealed an 8-factor structure with similar factors to the SSCQ, but with fewer items and the elimination of the situational favorableness factor. Physical/mental preparation and mastery were the highest ranked sources among the athletes. A simultaneous multiple regression analysis indicated that physical/mental preparation and demonstration of ability were significant predictors of trait sport confidence for master athletes. Our findings suggest that the SSCQ needs more psychometric work if it is to be used with this type of population.

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 Place attachment scale: Turkish adaptation studyMekânsal bağlılık ölçeği: Türkçe’ye uyarlama çalışması

2017 ◽  
Vol 14 (3) ◽  
pp. 2810
Author(s):  
Cihat Yaşaroğlu
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Factor Structure ◽  
Internal Consistency ◽  
Place Attachment ◽  
Study Group ◽  
Factor Analyses ◽  
Confirmatory Factor ◽  
The University

This study was carried out in order to adapt the “University Place Attachment Scale” to Turkish. For this purpose, a study group of 246 people consisting of Bingöl University students was carried out in 2016/2017 education year. Factor validity, exploratory factor analysis, confirmatory factor analysis and internal consistency coefficients for reliability studies were examined. In the analysis of the explanatory factor analyses, it was determined that the scale had a one-factor structure and in the confirmatory factor analysis, this structure was tested. Confirmatory factor analysis (CFA) was conducted to confirm the model for AFA. In the analyzes x2 / sd (221.40 / 116 = 1.91) ratio showed excellent agreement. Compliance indices (RMSA .80, GFI .90, AGFI .95, SRMR .48, NNFI .94 and CFI .95) indicate that the scale is valid.The compliance indices obtained as a result of confirmatory factor analysis confirm that the scale is a one-factor structure. Finally, internal consistency coefficient was found as .91.Extended English abstract is in the end of PDF (TURKISH) file.ÖzetBu çalışma “Üniversite Mekansal Bağlılık Ölçeği”nin Türkçeye uyarlanması amacıyla yapılmıştır. Bu amaçla 2016/2017 eğitim yılında Bingöl Üniversitesi öğrencilerinden oluşan 246 kişilik bir çalışma grubu üzerinde uygulamalar yapılmıştır. Yazardan gerekli izinler alındıktan sonra ölçeğin türkçeye çevirisi yapılmıştır. Gerekli işlemlerden sonra denemlik form hazırlanmış ve uygulanmıştır. Ölçeğin geçerlik, güvenirlik çalışmaları için AFA, DFA ve iç tutarlılık katsayılarına bakılmıştır. Yapılan açımlayıcı faktör analizinde ölçeğin tek faktörlü bir yapıda olduğu belirlenmiştir. Ölçek 17 maddeden oluşmakta, toplam varyansın % 43.637’sini açıkladığı ve özdeğerinin 7.418 olduğu görülmüştür. Doğrulayıcı faktör analizinde ise ortaya çıkan bu yapı test edilmiştir. AFA’ya ilişkin modelin doğrulanması için doğrulayıcı faktör analizi (DFA) yapılmıştır.  Yapılan analizlerde x2/sd (221.40/116=1.918) ile uyum indekslerinin (RMSA .80, GFI .90, AGFI .95, SRMR .48, NNFI .94 ve CFI .95) ölçeğin geçerli bir yapıda olduğunu göstermektedir. Doğrulayıcı faktör analizi sonucunda elde edilen uyum indeksleri, ölçeğin tek faktörlü bir yapıda olduğunu doğrulamıştır. Son olarak iç tutarlılık katsayısı .917 olarak bulunmuştur.

Dimensionality of burden in Alzheimer caregivers: confirmatory factor analysis and correlates of the Zarit Burden interview

2014 ◽  
Vol 26 (9) ◽  
pp. 1455-1463 ◽  
Author(s):  
Sheung-Tak Cheng ◽  
Timothy Kwok ◽  
Linda C. W. Lam
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Caregiver Burden ◽  
Care Recipient ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Zarit Burden Interview ◽  
Confirmatory Factor

ABSTRACTBackground:To investigate dimensions of caregiver burden through factor analysis of the Zarit Burden Interview (ZBI), and to examine predictors of different dimensions of burden.Methods:Confirmatory factor analyses were performed on 395 Hong Kong Chinese Alzheimer caregivers to examine whether several proposed factor structures fit the data well. Subsequently, participants were split into two roughly equal subsamples, for the purpose of identifying the most optimal factor structure through exploratory factor analysis in Sample A (n = 183) and an independent verification through confirmatory factor analysis in Sample B (n = 212). ZBI subscales representing the established factors were correlated with caregiver and care-recipient variables known to be associated with burden.Results:Confirmatory factor analyses showed that factor models reported elsewhere did not fit the data well. Subsequently, exploratory factor analysis in Sample A suggested a 4-factor structure. After dropping three items due to poor factor loadings, the 4-factor structure was found to fit the data moderately well in Sample B. The four factors tapped personal strain, captivity, self-criticism, and loss of control. However, self-criticism was basically unrelated to the other three factors and showed a rather different pattern of correlations with caregiver and care-recipient variables. Self-criticism was more common among child caregivers and those who did not live with the care-recipient and was less involved in day-to-day care, yet feeling obligated and close to the care-recipient.Conclusions:The dimensions of caregiver burden may be culturally specific. More research is needed to examine cultural considerations in measuring caregiver burden.

scholarly journals Five Factor Model in Iranian Culture: A Psychometrics Analysis of NEO-Five Factor Inventory (NEO-FFI)

2014 ◽  
Vol 1 (4) ◽  
Author(s):  
Manoochehr Azkhosh ◽  
Ali Asgari
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Factor Structure ◽  
Internal Consistency ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Factor Analysis ◽  
Confirmatory Factor ◽  
Neo Five Factor Inventory

This study aimed to investigate the construct validity and factor structure of NEO-Five Factor Inventory (Costa & McCrae, 1992) in Iranian population. Participants were 1639 (780 male, 859 female) Tehran people aged 15-71. The results of explanatory factor analysis showed no notable differences between the factor structures extracted by oblique and orthogonal rotations and didn’t replicate the scoring key. The Openness and Agreeableness had more psychometric problems (low internal consistency and high deleted items). The female’s NEO-FFI factor structure (with 41 items of 60 loaded on intended factors)was clearer than males’ (with 37 items). Confirmatory factor analysis supported the male’s latent modeling of the 31-item but failed to fit the female’s model. The women scored significantly higher in the Neuroticism, Openness, Agreeableness, and Conscientiousness than men who scored significantly higher in the Extraversion. As previous findings, the current results showed the NEO-FFI’s cultural limitations assessing the universality of the Five Factor Model.

A Second-Order Confirmatory Factor Analysis of the Moral Distress Scale-Revised for Nurses

2017 ◽  
Vol 26 (4) ◽  
pp. 1199-1210 ◽  
Author(s):  
Hamid Sharif Nia ◽  
Vida Shafipour ◽  
Kelly-Ann Allen ◽  
Mohammad Reza Heidari ◽  
Jamshid Yazdani-Charati ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Moral Distress ◽  
Second Order ◽  
Divergent Validity ◽  
Confirmatory Factor ◽  
Convergent And Divergent Validity ◽  
Distress Scale

Background: Moral distress is a growing problem for healthcare professionals that may lead to dissatisfaction, resignation, or occupational burnout if left unattended, and nurses experience different levels of this phenomenon. Objectives: This study aims to investigate the factor structure of the Persian version of the Moral Distress Scale–Revised in intensive care and general nurses. Research design: This methodological research was conducted with 771 nurses from eight hospitals in the Mazandaran Province of Iran in 2017. Participants completed the Moral Distress Scale–Revised, data collected, and factor structure assessed using the construct, convergent, and divergent validity methods. The reliability of the scale was assessed using internal consistency (Cronbach’s alpha, Theta, and McDonald’s omega coefficients) and construct reliability. Ethical considerations: This study was approved by the Ethics Committee of Mazandaran University of Medical Sciences. Findings: The exploratory factor analysis ( N = 380) showed that the Moral Distress Scale–Revised has five factors: lack of professional competence at work, ignoring ethical issues and patient conditions, futile care, carrying out the physician’s orders without question and unsafe care, and providing care under personal and organizational pressures, which explained 56.62% of the overall variance. The confirmatory factor analysis ( N = 391) supported the five-factor solution and the second-order latent factor model. The first-order model did not show a favorable convergent and divergent validity. Ultimately, the Moral Distress Scale–Revised was found to have a favorable internal consistency and construct reliability. Discussion and conclusion: The Moral Distress Scale–Revised was found to be a multidimensional construct. The data obtained confirmed the hypothesis of the factor structure model with a latent second-order variable. Since the convergent and divergent validity of the scale were not confirmed in this study, further assessment is necessary in future studies.

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.

scholarly journals Confirmatory Factor Analysis of Center for Epidemiological Studies Depression 10-item Scale on Chinese International Students in Korea

2021 ◽  
Vol 14 (1) ◽  
pp. 185-192
Author(s):  
Yang Eun Kim ◽  
Boram Lee
Keyword(s):  
Factor Analysis ◽  
International Students ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Internal Consistency ◽  
Epidemiological Studies ◽  
Chinese International Students ◽  
Confirmatory Factor ◽  
Test Retest Reliability

Introduction: Depression has become increasingly prevalent in Chinese international students in South Korea. For this population, therefore, accurate assessment of mood disorders, particularly depression, is critically important. The 10-item Center for Epidemiological Studies Depression Scale (CES-D 10) is commonly used to measure depression in both clinical and non-clinical populations. Thus, this study examined the CES-D 10’s factor structure and psychometric properties in Chinese international students. Methods: Study participants were 250 Chinese international students aged 18–23, attending a four-year university in Korea; they completed the Chinese version of the CES-D 10. Based on relevant theories and empirical research, confirmatory factor analysis was employed to examine the adequacy of three competing models’ factor structure. Internal consistency reliability was assessed using Cronbach’s alpha, and test-retest reliability using the Pearson correlation coefficient. Results: Confirmatory factor analysis suggested that the two-factor model comprised of depressive affect/somatic retardation and positive affect had the best fit. The CES-D 10 showed satisfactory internal consistency and test-retest reliability in Chinese international students. Conclusion: The CES-D 10 demonstrated strong psychometric properties in this Chinese international student sample, and results suggest that the CES-D scale is a useful screening tool for depressive symptoms. Therefore, the CES-D 10 could be used as a depression screen for international students at the population level and in health clinics.

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