Confirmatory Factor Analysis of MUIS-C Scale Among Baby Boomers With Hepatitis C

2021 ◽  
pp. JNM-D-19-00089
Author(s):  
Mehmet Türegün ◽  
Humberto Reinoso
Keyword(s):  
Factor Analysis ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Baby Boomers ◽  
Wishart Distribution ◽  
Model Fit ◽  
Ml Estimation ◽  
Uncertainty In Illness ◽  
Confirmatory Factor ◽  
Positive Factor

Background and PurposeThe purpose of this study was to evaluate Mishel Uncertainty in Illness Scale—Community (MUIS-C), used to gauge level of uncertainty among baby boomers with hepatitis C virus (HCV) infection, as a reliable two-factor instrument.MethodsA CFA was conducted to test MUIS-C. There were minor deviations from normality. Subsequently, 130 participants were used to examine the factor structure and the model fit. A robust maximum likelihood (ML) estimation using the Wishart distribution was implemented in R version 3.3.1.ResultsA very good model fit was obtained (𝜒2(101) = 118.32, p = .115, TLI = 0.977, CFI = 0.983, RMSEA = 0.036, 90%CI(0.000, 0.061), and SRMR = 0.057). All indicators showed significant positive factor loadings, with standardized coefficients ranging from 0.511 to 0.868.ConclusionsThe MUIS-C was a reliable two-factor instrument and suitable for use as such in baby boomer population with HCV.

Marketplace stigma: customers’ stigmatization of employees with hepatitis C virus

2016 ◽  
Vol 35 (10) ◽  
pp. 1219-1231 ◽  
Author(s):  
Mohamad Saad Mohamad ◽  
Ahmed Amin Mohamed
Keyword(s):  
Factor Analysis ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Design Methodology ◽  
Workplace Discrimination ◽  
Three Dimensions ◽  
Item Pool ◽  
Content Type ◽  
Confirmatory Factor ◽  
Development And Validation

Purpose The purpose of this paper is to develop and validate the first instrument to measure the source of customers’ stigmatization of employees with hepatitis C virus (HCV) in Egypt. Design/methodology/approach The development and validation processes unfolded as follows: an item pool was generated from focus groups and previous studies on stigma; the initial instrument was evaluated by three experts and pilot-tested; the instrument was used to collect data from 500 Egyptian consumers to determine its dimensionality; to test this structure, confirmatory factor analysis was conducted on a new sample of 300 Egyptian consumers. Findings Exploratory factor analysis showed that the instrument captures three factors: devaluation, avoidance and pity. Results confirmed that customers’ stigmatization of employees with HCV is a multidimensional construct that is manifested in these three dimensions. Originality/value Despite the importance of disease stigma, management scholars have not given it sufficient attention. This paper offers new insights into the study of a particular type of workplace discrimination and ways of measuring it.

scholarly journals The construction and validation of a new Hepatitis C Virus social stigma in the workplace scale

2019 ◽  
Vol 8 (1) ◽  
pp. 1-13
Author(s):  
Ahmed A. Mohamed ◽  
Mohamad Saad ◽  
Mariam A. Magdy
Keyword(s):  
Factor Analysis ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Social Stigma ◽  
Reliability And Validity ◽  
General Factor ◽  
Important Conclusion ◽  
The Social ◽  
Confirmatory Factor ◽  
Definition Of

Aim The purpose of this study was to develop a new scale to measure the social stigma of hepatitis C virus (HCV) in the workplace using a refined version of Link and colleagues’ (Link & Phelan, 2001, https://doi.org/10.1146/annurev.soc.27.1.363; Link, Yang, Phelan, & Collins, 2004, https://doi.org/10.1093/oxfordjournals.schbul.a007098) definition of social stigma. Methods The new scale was developed over a multistage process that was guided by existing scales and focus groups. Two studies were conducted to validate the scale. The first, collected data from 224 employees and used exploratory factor analysis to remove unsatisfactory items. The second study collected data from 254 employees and used confirmatory factor analysis. Results Results indicated that the new 32 item scale had acceptable reliability and validity. These results support the conceptualization of stigma as a latent construct that abstracts stereotyping, prejudice and intention to discriminate. Conclusion Findings elucidate that HCV stigma can be operationalized as a general factor behind stereotyping, prejudice and intentions to discriminate in the workplace. This is an important conclusion because it may bring parsimony and coherence to a complex and dispersed literature. Additionally, the new scale may be used to study HCV stigma in the workplace.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

Development of the Adherence to Healthy Behaviors Scale

2021 ◽  
pp. 105477382098862
Author(s):  
Chen-Hui Huang ◽  
Dhea Natashia ◽  
Tzu-Chia Lin ◽  
Miaofen Yen
Keyword(s):  
Factor Analysis ◽  
Protective Factor ◽  
Model Fit ◽  
Convenience Sample ◽  
Healthy Behaviors ◽  
Confirmatory Factor ◽  
Reliable Instrument ◽  
Principal Axis Factor Analysis ◽  
Southern Taiwan ◽  
Test Retest Reliability

Adherence to healthy behaviors is a protective factor in the disease progression of chronic kidney disease (CKD). Measuring adherence can lead to the recognition of unhealthy behaviors and the suggestion of programs to prevent poor health outcomes. An assessment measurement for patients with CKD not requiring dialysis was developed and psychometrically tested. A convenience sample ( n = 330) of patients with CKD attending a nephrology clinic in southern Taiwan completed the 13-item Adherence to Healthy Behaviors Scale (AHBS). A principal axis factor analysis and a parallel analysis demonstrated a three-factor structure accounting for 47.16% of the total variance. Confirmatory factor analysis indicated a good model fit. The criterion-related validity was adequate ( r = .51; p < .000), with a Cronbach’s alpha of .70; the test-retest reliability demonstrated good stability ( r = .70; p < .000). The AHBS is a valid, reliable instrument to assess adherence to healthy behaviors among patients with CKD.

scholarly journals Development and Validation of News Addiction Scale

2021 ◽  
Vol 36 (1) ◽  
pp. 1-18
Author(s):  
Ghulam Ishaq ◽  
Saba Ghayas ◽  
Adnan Adil
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Behavioral Activation ◽  
Convincing Evidence ◽  
Model Fit ◽  
Confirmatory Factor ◽  
Principal Axis Factoring ◽  
Development And Validation ◽  
Unidimensional Structure ◽  
Purposive Sample

The current study was undertaken in order to construct a psychometrically sound measure of news addiction for Pakistani people. The research comprised of three studies. The first study dealt with the development of News Addiction Scale (NAS) for Pakistani people. The items of the scale were empirically determined for content validation and an exploratory factor analysis was undertaken on a purposive sample of 247 individuals (men = 183, women = 64; with a mean age of 40.1 years, SD = 15.2 years). Thirty items were subjected to Principal Axis Factoring and the resulting scree plot and Eigenvalues evidenced a single factor solution with 19 items, which accounted for 53.96% of the variance. In the second study, a confirmatory factor analysis was carried out on a sample of 240 participants and the results revealed an excellent model fit to the data, which validated the unidimensional structure of the scale. Study III of the present research was conducted on a purposive sample of 100 individuals and it provided a convincing evidence of convergent validity of the scale as significant positive correlation was observed between news addiction and behavioral activation and concurrent validity as individuals with more duration of exposure had significantly higher mean score on the NAS. Across the two studies, the Cronbach alpha of the scale remained ≥ .90. These pieces of evidence suggested that NAS would be a promising indigenous measure of news addiction.

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