scholarly journals Collective Empowerment in Online Health Communities: Scale Development and Empirical Validation

10.2196/14392 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e14392 ◽  
Author(s):  
Sara Atanasova ◽  
Gregor Petric
Keyword(s):  
Factor Analysis ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Factorial Structure ◽  
Online Health Communities ◽  
Health Communities ◽  
Collective Empowerment

Background The role of online health communities (OHCs) in patient empowerment is growing and has been increasingly studied in recent years. Research has focused primarily on individualistic conception of patients’ empowerment, with much less attention paid to the role of OHCs in the development of patients’ collective empowerment. Although OHCs have immense potential for empowerment that goes beyond the individual, the concept and scale of collective empowerment in OHCs have not yet been developed or validated. Objective This study aimed to develop an instrument for measuring collective empowerment in online health communities (CE-OHC) and to test its quality by investigating its factorial structure, reliability, construct validity, and predictive validity. Methods The CE-OHC scale was developed according to a strict methodology for developing valid and reliable scales. An initial set of 20 items was first tested in the pilot study conducted in 2016 using a sample of 280 registered users of Slovenia’s largest OHC. A refined version with 11 items was tested in the main study conducted in 2018 on a random sample of 30,000 registered users of the same OHC. The final sample comprised 784 users. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to investigate the factorial structure, discriminant validity, and convergent validity of the scale. Cronbach alpha coefficient was used to determine the CE-OHC scale’s internal consistency. To establish the predictive validity, ordinary least squares regression was performed to test the role of CE-OHC in users’ civic participation. Results The EFA resulted in a two-factor solution, and the two factors—knowledge of resources and resource mobilization for collective action—together explain 63.8% of the variance. The second-order CFA demonstrated a good fit to the data (root mean square error of approximation=0.07) and the scale had a good internal consistency (alpha=.86). Although evidence of the scale’s convergent validity was partially provided, discriminant validity of the scale remained unconfirmed. Overall, CE-OHC was confirmed to be a predictor of users’ civic participation, but the influence was somewhat weak and inconsistent across two subscales. Conclusions The proposed CE-OHC scale is a reliable and relatively valid instrument and serves as a good baseline to advance the measurement of collective empowerment in OHC contexts. This is the first scale developed for this purpose, and future research should focus on the development of a clear nomological network of the collective empowerment construct in relation to the OHC settings.

scholarly journals Collective Empowerment in Online Health Communities: Scale Development and Empirical Validation (Preprint)

2019 ◽  
Author(s):  
Sara Atanasova ◽  
Gregor Petric
Keyword(s):  
Factor Analysis ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Factorial Structure ◽  
Online Health Communities ◽  
Health Communities ◽  
Collective Empowerment

BACKGROUND The role of online health communities (OHCs) in patient empowerment is growing and has been increasingly studied in recent years. Research has focused primarily on individualistic conception of patients’ empowerment, with much less attention paid to the role of OHCs in the development of patients’ collective empowerment. Although OHCs have immense potential for empowerment that goes beyond the individual, the concept and scale of collective empowerment in OHCs have not yet been developed or validated. OBJECTIVE This study aimed to develop an instrument for measuring collective empowerment in online health communities (CE-OHC) and to test its quality by investigating its factorial structure, reliability, construct validity, and predictive validity. METHODS The CE-OHC scale was developed according to a strict methodology for developing valid and reliable scales. An initial set of 20 items was first tested in the pilot study conducted in 2016 using a sample of 280 registered users of Slovenia’s largest OHC. A refined version with 11 items was tested in the main study conducted in 2018 on a random sample of 30,000 registered users of the same OHC. The final sample comprised 784 users. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to investigate the factorial structure, discriminant validity, and convergent validity of the scale. Cronbach alpha coefficient was used to determine the CE-OHC scale’s internal consistency. To establish the predictive validity, ordinary least squares regression was performed to test the role of CE-OHC in users’ civic participation. RESULTS The EFA resulted in a two-factor solution, and the two factors—knowledge of resources and resource mobilization for collective action—together explain 63.8% of the variance. The second-order CFA demonstrated a good fit to the data (root mean square error of approximation=0.07) and the scale had a good internal consistency (alpha=.86). Although evidence of the scale’s convergent validity was partially provided, discriminant validity of the scale remained unconfirmed. Overall, CE-OHC was confirmed to be a predictor of users’ civic participation, but the influence was somewhat weak and inconsistent across two subscales. CONCLUSIONS The proposed CE-OHC scale is a reliable and relatively valid instrument and serves as a good baseline to advance the measurement of collective empowerment in OHC contexts. This is the first scale developed for this purpose, and future research should focus on the development of a clear nomological network of the collective empowerment construct in relation to the OHC settings.

The HEXACO-Middle School Inventory (MSI)

2020 ◽  
Vol 36 (4) ◽  
pp. 681-693 ◽  
Author(s):  
Ida Sergi ◽  
Augusto Gnisci ◽  
Vincenzo P. Senese ◽  
Marco Perugini
Keyword(s):  
Middle School ◽  
Factor Analysis ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Principal Component ◽  
Divergent Validity ◽  
Clear Cut ◽  
Convergent And Divergent Validity ◽  
Italian Children

Abstract. We developed and validated a novel measure, the 6-factor personality HEXACO-Middle School Inventory (MSI). We started with a pool of 16 items for each of the six dimensions of the HEXACO. In Study 1, we administered the HEXACO-MSI to 1,089 Italian children and the Observer version to their parents. Using principal component analyses (PCA) and extension factor analysis (EFA), we selected the best eight items for each dimension. Confirmatory factor analysis (CFA) confirmed the 6-factor dimensionality and its invariance. Internal consistency of each dimension was adequate. Convergent and divergent validity were successfully established with a version of the scale filled by parents. Convergent validity was also established with the Big Five Questionnaire – Children (BFQ-Children) whereas divergent validity was less clear-cut. Conscientiousness, Honesty-Humility, and eXtraversion demonstrated predictive validity of school marks (criterion validity). In Study 2 ( N = 317), we replicated dimensionality, internal consistency, and established test-retest reliability of each dimension in two measurements at a 1 month distance. The HEXACO-MSI showed a clear personality structure organized in six traits, and evidence of predictive validity of relevant school criteria particularly via Conscientiousness, Honesty-Humility, and eXtraversion.

scholarly journals Psychometric Testing of the Korean Version of the Caring Behaviors Inventory-24 in Clinical Nurses

2021 ◽  
Vol 28 (1) ◽  
pp. 96-104
Author(s):  
Younhee Kang ◽  
Sook Jung Kang ◽  
In-Suk Yang ◽  
Haeok Lee ◽  
Joyce Fitzpatrick
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Psychometric Testing ◽  
Fit Indices ◽  
Caring Behaviors ◽  
Clinical Nurses ◽  
Model Fit Indices

Purpose: To determine psychometric properties of the Caring Behaviors Inventory-24 (CBI-24) among Korean clinical nurses.Methods: A methodological design was used. Data were collected from 408 clinical nurses. Construct validity analysis was performed, including factorial, convergent, and discriminant validity. Internal consistency was tested by Cronbach’s ⍺ coefficients, inter-item correlation, and corrected item-total correlation.Results: Exploratory factor analysis produced three factors: ‘empathy and supporting’, ‘knowledge and skills’, and ‘providing comfort’. In confirmatory factor analysis results, model fit indices were acceptable (x<sup>2</sup>/df=3.50, RMR=.05, RMSEA=.08, CFI=.90). The values obtained for the AVE ranged from .53 to .68, and for the CR ranged from .53 to .68. Convergent validity coefficients were noticeably greater in magnitude than discriminant validity coefficients: .53 (AVE<sub>1</sub> value) and .68 (AVE<sub>2</sub> value)≥.45 (r<sub>12</sub><sup>2</sup> value) and .68 (AVE<sub>2</sub> value) and .63 (AVE<sub>3</sub> value)≥.61 (r<sub>23</sub><sup>2</sup> value). Internal consistency (Cronbach’s ⍺) of CBI-K was .95.Conclusion: The CBI-K was shown to have acceptable construct validity and good internal consistency. Study findings imply that CBI-K could be a useful instrument for clinical administrators and nursing researchers to assess caring behaviors among Korean clinical nurses. Utilization of CBI-K might contribute to the building of empirical knowledge and the understanding of caring behaviors from nurses’ perspectives.

scholarly journals Development and validation of preconception care improvement scale (PCIS) in a resource-limited setting

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Firanbon Teshome ◽  
Zewdie Birhanu ◽  
Yohannes Kebede
Keyword(s):  
Factor Analysis ◽  
Antenatal Care ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Content Validity ◽  
Convergent Validity ◽  
Preconception Care ◽  
Resource Limited ◽  
Care Improvement ◽  
Limited Setting

Abstract Background Preconception care helps to close the gaps in a continuum of care. It is of paramount importance to reduce maternal and child adverse pregnancy outcomes, increase the utilization of services such as antenatal care, skilled delivery care, and post-natal care, and improve the lives of future generations. Therefore, a validated instrument is required. The purpose of this study was to develop and validate the preconception care improvement scale (PCIS) in a resource-limited setting. Methods A mixed-method study was carried out from 02, March to 10, April 2019 in Manna district, Oromia region, Ethiopia to test the reliability and validity of the scale. Items were generated from literatures review, in-depth interviews with different individuals, and focused group discussions with women of reproductive age groups. A pretested structured questionnaire was used and a survey was conducted among 623 pregnant women in the district. The collected data were entered into EPI-data version 3.1 software and exported to SPSS version 23 software and data were analyzed for internal consistency and validity using reliability analysis and factor analysis. Results The PCIS has 17 items loaded into six factors: Substance-related behaviors, screening for common non-communicable and infectious diseases, micronutrient supplementation and vaccination, seeking advice, decision and readiness for conception, and screening for sexually transmitted diseases. Factor analysis accounted for 67.51% of the observed variance. The internal consistency (Cronbach’s alpha) of the scale was 0.776. Diversified participants of the qualitative study and experts’ discussions assured the face and content validity of the scale. Factor loading indicated the convergent validity of the scale. Three of the PCIS subscale scores had a positive and significant association with the practice of preconception care and antenatal care visits, which confirmed the predictive validity of the scale. Conclusion The PCIS exhibited good reliability, face validity, content validity, convergent validity, and predictive validity. Thus, the scale is valid and helps to improve preconception care, especially in resource-limited settings.

scholarly journals Arabic validation and cross-cultural adaptation of the 5C scale for assessment of COVID-19 vaccines psychological antecedents

2021 ◽  
Author(s):  
Samar Abd ElHafeez ◽  
Ramy Shaaban ◽  
Iffat Elbarazi ◽  
Rony ElMakhzangy ◽  
Maged Ossama Aly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Five Factor Model ◽  
Arabic Language ◽  
Arab Countries ◽  
Cronbach Alpha ◽  
Validated Questionnaire ◽  
Confirmatory Factor

AbstractBackgroundIn the Arab countries, there has not been yet a specific validated questionnaire that can assess the psychological antecedents of COVID-19 vaccine among the general population. This study, therefore, aimed to translate, culturally adapt, and validate the 5C scale into the Arabic language.MethodsThe 5C scale was translated into Arabic by two independent bilingual co-authors, and then subsequently translated back into English. After reconciling translation disparities, the final Arabic questionnaire was disseminated into four randomly selected Arabic countries (Egypt, Libya, United Arab Emirates (UAE), and Saudi Arabia). Data from 350 Arabic speaking adults (aged ≥18 years) were included in the final analysis. Convergent, discriminant, exploratory and confirmatory factor analyses were carried out. Internal consistency was assessed by Cronbach alpha.ResultsAge of participants ranged between 18 to 73 years; 57.14% were females, 37.43% from Egypt, 36.86%, from UAE, and 30% were healthcare workers. The 5 sub-scales of the questionnaire met the criterion of internal consistency (Cronbach alpha ≥0.7). Convergent validity was identified by the significant inter-item and item-total correlation (P<0.001). Discriminant validity was reported as inter-factor correlation matrix (<0.7). Exploratory factor analysis indicated that the 15 items of the questionnaire could be summarized into five factors. Confirmatory factor analysis confirmed that the hypothesized five-factor model of the 15-item questionnaire was satisfied with adequate psychometric properties and fit with observed data (RMSEA=0.060,GFI=0.924, CFI=0.957, TLI=0.937, SRMR=0.076 & NFI=906).Conclusionthe Arabic version of the 5C scale is a valid and reliable tool to assess the psychological antecedents of COVID-19 vaccine among Arab population.

scholarly journals The reliability, validity and factorial structure of the Swahili version of the 7-item generalized anxiety disorder scale (GAD-7) among adults living with HIV from Kilifi, Kenya

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Moses K. Nyongesa ◽  
Paul Mwangi ◽  
Hans M. Koot ◽  
Pim Cuijpers ◽  
Charles R. J. C. Newton ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Generalized Anxiety Disorder ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Hiv Stigma ◽  
Generalized Anxiety ◽  
Factorial Structure ◽  
Test Retest Reliability ◽  
Living With Hiv

Abstract Background Generalized Anxiety Disorder (GAD) is under-investigated in people living with HIV/AIDS from sub-Saharan Africa. In part, this is due to paucity of culturally appropriate measures for GAD which are psychometrically robust. This study aimed to evaluate the reliability, factorial structure, and validity of Swahili version of the 7-item GAD questionnaire (GAD-7) among adults living with HIV. Study design Descriptive cross-sectional study. Methods 450 adults receiving comprehensive care from an HIV specialized clinic in Kilifi County, coastal Kenya, were consecutively recruited. Swahili versions of GAD-7, Patient Health Questionnaire (PHQ-9) and a 12-item HIV stigma scale were administered alongside measures of psychosocial and health-related characteristics. Internal consistency, test–retest reliability, factorial structure, convergent validity, and discriminant validity of Swahili GAD-7 were examined using Cronbach’s alpha (α), intra-class correlation coefficient (ICC), Confirmatory Factor Analysis (CFA), Pearson’s correlation, and analysis of covariance (ANCOVA), respectively. Results Internal consistency of Swahili GAD-7 was good, α = 0.82 (95% CI 0.78, 0.85). Its test–retest reliability (2 weeks apart) was acceptable, ICC = 0.70 (95% CI 0.55, 0.81). A confirmatory analysis of a one-factor solution indicated an excellent fit to the hypothesized structure (RMSEA = 0.00 [95% confidence interval 0.00, 0.05], CFI = 1.00, TLI = 1.00). Multi-group CFA substantiated factorial invariance for sex and age for the one-factor structure of Swahili GAD-7. Scores of GAD-7, Swahili version, significantly correlated with those of PHQ-9 (r = 0.73; p < 0.001) and the HIV stigma scale (r = 0.36; p < 0.001) suggesting good convergent validity. Statistically significant differences were observed between participants on first-line antiretroviral therapy compared to those on second-line treatment (F [1, 441] = 5.55, p = 0.02) indicative of good discriminant validity of Swahili GAD-7. Conclusion GAD-7 Swahili version retained its original unidimensional latent structure with good psychometric properties among adults living with HIV from Kilifi, Kenya. It can be used to identify symptoms of GAD in similar research settings. However, to confidently identify those in need of mental health treatment or referral services in HIV primary care clinics, more research on the validity of Swahili GAD-7 is needed especially its discriminant validity and diagnostic accuracy at different cut-off scores.

The Construct Validity of the Tripartite Classification of Attitudes

1979 ◽  
Vol 16 (1) ◽  
pp. 88-95 ◽  
Author(s):  
Richard P. Bagozzi ◽  
Alice M. Tybout ◽  
C. Samuel Craig ◽  
Brian Sternthal
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Predictive Validity ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Tripartite Model ◽  
Normative Beliefs ◽  
Attitude Measures

The convergent, discriminant, and predictive validity of the tripartite model of attitudes is investigated. On the basis of a structural equation methodology, evidence is obtained for convergent validity. Moreover, a factor analysis of the attitude measures and measures of perceived extraneous events and personal and social normative beliefs provides evidence for discriminant validity. Finally, evidence for predictive validity based on actual and intended behaviors is found to be mixed. The implications of these findings for research pertaining to the prediction of consumer behavior are discussed.

scholarly journals The Development and Validation of a Measure to Assess COVID-19 Stress among College Students for Sustainable Education

2021 ◽  
Vol 13 (17) ◽  
pp. 9828
Author(s):  
V. Vineeth Kumar ◽  
Bhagyasree Chatterjee ◽  
Geetika Tankha
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Predictive Validity ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Second Phase ◽  
Factor Loadings ◽  
Composite Reliability

The impact of the COVID-19 pandemic on students’ personal, academic, and social life has been quite stressful. The threat to life from the virus, social isolation, and the need to shift from face-to-face learning to online mode has been challenging. Thus, the purpose of the present study was to develop and validate a self-administered tool to assess the source of COVID-19 pandemic stress among college students. The data was collected online using google forms in two phases. The data collected from 173 participants from phase one was analyzed using exploratory factor analysis (EFA). The second phase data of 216 participants were analyzed to validate the factor structure using confirmatory factor analysis (CFA). The standardized factor loadings, Composite Reliability (CR), and AVE of factors were assessed to determine the convergent validity of the scale. Similarly, discriminant validity and concurrent predictive validity were assessed through the HTMT ratio of correlations and ROC curves, respectively. A succession of Exploratory Factor Analysis yielded a five-factor solution, explaining 73.83 percent variance with 13 indices. CFA via maximum likelihood with bootstrapping indicated a good fit for the five-factor model (SRMR = 0.037, RMSEA = 0.049, CFI = 0.981). The standardized factor loadings, Composite Reliability (CR), and AVE of factors together suggest acceptable convergent validity. Further, the ROC curve results to assess stress indicated an acceptable AUC, with a magnitude of 0.79, p < 0.01, indicating concurrent predictive validity for the five-factor Student COVID-19 Stress Scale (SCSS). HTMT ratio of correlations <0.85 indicated discriminant validity for the factor structure. The CR > 0.70 for the dimensions indicated acceptable reliability. Thus, the SCSS can be an effective instrument to assess the source of pandemic stress among students so that tailor-made timely interventions can be provided to prevent long-term adverse effects.

scholarly journals Arabic validation and cross-cultural adaptation of the 5C scale for assessment of COVID-19 vaccines psychological antecedents

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0254595
Author(s):  
Samar Abd ElHafeez ◽  
Iffat Elbarazi ◽  
Ramy Shaaban ◽  
Rony ElMakhzangy ◽  
Maged Ossama Aly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Five Factor Model ◽  
Arabic Language ◽  
Arab Countries ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Confirmatory Factor

Background In the Arab countries, there has not been yet a specific validated Arabic questionnaire that can assess the psychological antecedents of COVID-19 vaccine among the general population. This study, therefore, aimed to translate, culturally adapt, and validate the 5C scale into the Arabic language. Methods The 5C scale was translated into Arabic by two independent bilingual co-authors, and then translated back into English. After reconciling translation disparities, the final Arabic questionnaire was disseminated into four randomly selected Arabic countries (Egypt, Libya, United Arab Emirates (UAE), and Saudi Arabia). Data from 350 Arabic speaking adults (aged ≥18 years) were included in the final analysis. Internal consistency was assessed by Cronbach’s alpha. Construct validity was determined by concurrent, convergent, discriminant, exploratory and confirmatory factor analyses. Results Age of participants ranged between 18 to 73 years; 57.14% were females, 37.43% from Egypt, 36.86%, from UAE, 30% were healthcare workers, and 42.8% had the intention to get COVID-19 vaccines. The 5 sub-scales of the questionnaire met the criterion of internal consistency (Cronbach’s alpha ≥0.7). The predictors of intention to get COVID-19 vaccines (concurrent validity) were young age and the 5C sub-scales. Convergent validity was identified by the significant inter-item and item-mean score of the sub-scale correlation (P<0.001). Discriminant validity was reported as inter-factor correlation matrix (<0.7). Kaiser-Meyer-Olkin sampling adequacy measure was 0.80 and Bartlett’s sphericity test was highly significant (P<0.001). Exploratory factor analysis indicated that the 15 items of the questionnaire could be summarized into five factors. Confirmatory factor analysis confirmed that the hypothesized five-factor model of the 15-item questionnaire was satisfied with adequate psychometric properties and fit with observed data (RMSEA = 0.060, GFI = 0.924, CFI = 0.957, TLI = 0.937, SRMR = 0.076 & NFI = 906). Conclusion The Arabic version of the 5C scale is a valid and reliable tool to assess the psychological antecedents of COVID-19 vaccine among Arab population.

scholarly journals Psychometric evaluation of the Chinese version of the Snizek-revised Hall’s Professionalism Inventory Scale

2019 ◽  
Vol 47 (3) ◽  
pp. 1154-1168 ◽  
Author(s):  
Xiaoqian Chen ◽  
Qi Yu ◽  
Feifei Yu ◽  
Yixiang Huang ◽  
Lingling Zhang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Reliability And Validity ◽  
Internal Consistency Reliability ◽  
Good Reliability ◽  
Five Factors ◽  
Confirmatory Factor

Objective This study was performed to assess the reliability and validity of the Chinese version of the Snizek-revised Hall’s Professionalism Inventory Scale (C-SR-HPIS). Methods Exploratory factor analysis and confirmatory factor analysis were used to evaluate the construct validity of the C-SR-HPIS. The average variance extracted (AVE) and square root of the AVE were calculated and correlation analyses were performed to test the convergent validity and discriminant validity, respectively. Cronbach’s alpha (α) coefficient was used to test the internal consistency reliability. Results Data for 355 clinical nurses in mainland China were collected. Five factors were extracted, accounting for 58.86% of the total explained variance, and 20 items were selected for the C-SR-HPIS. The confirmatory factor analysis suggested good fitness of the modified model. The AVE was acceptable for convergent validity. The square roots of the AVE of the five factors were larger than their correlation coefficients with other factors, showing suitable discriminant validity. Cronbach’s α coefficient of internal consistency reliability of the overall scale was 0.76, indicating good reliability of the scale. Conclusions This study demonstrated good reliability and validity of the C-SR-HPIS and provides a quantitative tool for the assessment of nursing professionalism in China.

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