Factorial confirmatory analysis to measure the perception of labor inclusion of people with disabilities

Introduction: The objective of this scientific approach was to validate through confirmatory factor analysis a measurement model to determine the perceived importance of the inclusion of persons with disabilities in the labor market, in employees who work or interact during the course of their duties with disabled employees. Method: The study had a quantitative approach with a non-experimental design, was carried out in 4 organizations: a Higher Education Institution, two private sector agencies and a public administration institution, in the Southeast of Mexico; where a total of 120 employees who work or interact during the course of their duties with partners with disabilities participated, the participants were also sought to belong to different departments of those organizations. An exploratory and confirmatory factor analysis was performed to determine the psychometric properties of the instrument. Results: The proposed model ratified by means of confirmatory factor analysis the values of the main fit indicators (X 2 =40.15, p=.216; CMIN/DF= 1.18; CFI=.97; GFI= .91, IFI=.97; RMSEA=.04; CI 90 [.00-.09]). Discussion or conclusion: The results confirm the empirical sustainability of the proposed model to measure the perception on the occupational inclusion of people with disabilities" (POIPD) in organizations with at least one partner with disabilities, the data presented show evidence of a sustainable factor model.

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A confirmatory factor analysis of the knowledge, attitude and practice questionnaire towards prevention of respiratory tract infections during Hajj and Umrah

BMC Public Health ◽

10.1186/s12889-020-09756-5 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Mohammed Dauda Goni ◽

Nyi Nyi Naing ◽

Habsah Hasan ◽

Nadiah Wan-Arfah ◽

Zakuan Zainy Deris ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Respiratory Tract ◽

Respiratory Tract Infections ◽

Factor Model ◽

Measurement Model ◽

Attitude And Practice ◽

Confirmatory Factor ◽

Tract Infections ◽

Knowledge Attitude And Practice

Abstract Background Respiratory tract infections are one of the common infection associated with Hajj pilgrimage that is of great public health and global concern. This study is aimed at determining the factor structure of the knowledge, attitude, and practice questionnaire for the prevention of respiratory tract infections during Hajj by confirmatory factor analysis (CFA). Methods A multistage cluster sampling method was conducted on Malaysian Umrah pilgrims during the weekly Umrah orientation course. A total of 200 Umrah pilgrims participated in the study. The knowledge, attitude and practice (KAP) questionnaire was distributed to pilgrims at the beginning of the orientation and retrieved immediately at the end of the orientation. Data analysis was done using R version 3.5.0 after data entry into SPSS 24. The robust maximum likelihood was used for the estimation due to the multivariate normality assumption violation. A two-factor model was tested for measurement model validity and construct validity for each of the attitude and practice domains. Results CFA of a 25-item in total, the two-factor model yielded adequate goodness-of-fit values. The measurement model also showed good convergent and discriminant validity after model re-specification. A two-factor model was tested for measurement model validity and construct validity for each of the attitude and practice domains. The result also showed a statistically significant value (p < 0.001) with χ2 (df) values of 76.8 (43) and 121 (76) for attitude and practice domains, respectively. Conclusion The KAP questionnaire was proven to have a valid measurement model and reliable constructs. It was deemed suitable for use to measure the KAP of Hajj and Umrah pilgrims towards the prevention for all respiratory tract infections.

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Assessing Vocational Rehabilitation Engagement of People With Disabilities

Rehabilitation Counseling Bulletin ◽

10.1177/0034355215626698 ◽

2016 ◽

Vol 60 (3) ◽

pp. 145-154 ◽

Cited By ~ 5

Author(s):

Alo Dutta ◽

Fong Chan ◽

Madan M. Kundu ◽

Cahit Kaya ◽

Jessica Brooks ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Vocational Rehabilitation ◽

Exploratory Factor Analysis ◽

People With Disabilities ◽

Internal Consistency Reliability ◽

Measurement Model ◽

Confirmatory Factor ◽

Factor Measurement ◽

Valid Instrument

The purpose of this study was to validate the Vocational Rehabilitation Engagement Scale (VRES) in a sample of state vocational rehabilitation (VR) service consumers. A total of 277 individuals with disabilities were recruited from Alaska, Kentucky, Florida, Michigan, New Mexico, Texas, Utah, and Wisconsin. The measurement structure of the VRES was evaluated using exploratory factor analysis and confirmatory factor analysis. Exploratory factor analysis results support a one-factor measurement structure of the VRES. Confirmatory factor analysis results also indicated a good model fit for the one-factor measurement model. Internal consistency reliability (Cronbach’s α) for the scores on the VRES was computed to be .94. VR engagement was found to be associated with working alliance, vocational self-efficacy, internal motivation, and VR outcome expectancy in the expected direction. The VRES is a brief, reliable, and valid instrument for assessing VR engagement and contributes to the use of self-determination as a paradigm for improving motivation and engagement of people with disabilities receiving services from state VR agencies.

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Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK

Psychological Medicine ◽

10.1017/s0033291721003408 ◽

2021 ◽

pp. 1-9

Author(s):

Kirby King ◽

Nick Allum ◽

Paul Stoneman ◽

Alexandru Cernat

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Ethnic Groups ◽

Factor Model ◽

General Health Questionnaire ◽

Measurement Model ◽

Scale Reliability ◽

Confirmatory Factor ◽

Scalar Invariance ◽

The Uk

Abstract Background This study investigates the extent to which the GHQ-12 exhibits configural, metric and scalar invariance across six ethnic groups in Britain and Northern Ireland, using the UK Household Longitudinal Study (N = 35 410). Methods A confirmatory factor analysis was carried out on a white British group in order to establish an adequate measurement model. Secondly, a multi-group confirmatory factor analysis was conducted in order to assess measurement invariance. A sensitivity analysis comparing summated and latent means across groups was carried out. Finally, revised estimates of scale reliability were derived using two different methods. Results A one-factor model including correlated error terms on the negatively phrased items showed superior fit in all ethnic groups. Tests for equal factor loadings and intercepts also showed adequate fit demonstrating metric and scalar invariance. Latent and summated scale estimates of mean group differences were similar for all groups. Scale reliability using McDonald's ω is lower than when using the more conventional Cronbach's α. Reliability across groups is reasonably consistent. Conclusions We find that the GHQ-12 does not display obvious bias in regard to ethnic groups in the UK and that valid comparisons across these groups can be made for the purposes of population research. Caution is needed when using as a screening tool for individuals.

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A Confirmatory Factor Analysis of the knowledge, attitude and practice questionnaire towards prevention of Respiratory tract infections during Hajj and Umrah

10.21203/rs.3.rs-18609/v2 ◽

2020 ◽

Author(s):

Mohammd Dauda Goni ◽

Nyi Nyi Naing ◽

Habsah Hasan ◽

Nadiah Wan-Arfah ◽

Zakuan Zainy Deris ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Respiratory Tract ◽

Respiratory Tract Infections ◽

Factor Model ◽

Measurement Model ◽

Attitude And Practice ◽

Confirmatory Factor ◽

Tract Infections ◽

Knowledge Attitude And Practice

Abstract Background Respiratory tract infections are one of the common infection associated with Hajj pilgrimage that is of great public health and global concern. This study is aimed at determining the factor structure of the knowledge, attitude and practice questionnaire for the prevention of respiratory tract infections during Hajj by confirmatory factor analysis (CFA). Methods A multistage cluster sampling method was conducted on Malaysian Umrah pilgrims during the weekly Umrah orientation course. A total of 200 Umrah pilgrims participated in the study. The knowledge, attitude and practice (KAP) questionnaire was distributed to pilgrims at the beginning of the orientation and retrieved immediately at the end of the orientation. Data analysis was done using R version 3.5.0 after data entry into SPSS 24. The robust maximum likelihood was used for the estimation due to the multivariate normality assumption violation. A two-factor model was tested for measurement model validity and construct validity for each of the attitude and practice domains. Results CFA of a 25-item in total, two-factor model yielded adequate goodness-of-fit values. The measurement model also showed a good convergent and discriminant validity after model re-specification. A two-factor model was tested for measurement model validity and construct validity for each of the attitude and practice domains. The result also showed a statistically significant value (p < 0.001) with χ2 (df) values of 76.8 (43) and 121 (76) for attitude and practice domains respectively. Conclusion The KAP questionnaire was proven to have a valid measurement model and reliable constructs. It was deemed suitable for use to measure the KAP of Hajj and Umrah pilgrims towards the prevention for all respiratory tract infections.

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Decentralization: Operationalization and measurement model

International Journal of Organization Theory and Behavior ◽

10.1108/ijotb-19-03-2016-b001 ◽

2016 ◽

Vol 19 (3) ◽

pp. 275-307 ◽

Cited By ~ 1

Author(s):

Boris Morozov

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Hypothesis Testing ◽

Measurement Model ◽

Focus Of Attention ◽

Two Dimensions ◽

Data Set ◽

Proposed Model ◽

Confirmatory Factor

Decentralization has been a continual focus of attention of both scholars and practitioners for more than half a century. Even though there is a general agreement on what decentralization is, there is no consensus about how it should be measured. This article builds on the existing body of literature that specifies three major dimensions of decentralization: political, administrative, and economic. The article offers a measurement model that unifies these dimensions in a meaningful manner that allows for comparison across countries. The proposed model is then empirically tested using confirmatory factor analysis of a data set of 37 countries over the period 2000-2009. This factor analysis reveals that there are, in fact, only two dimensions of the decentralization process. The newly developed modelʼs index illustrates that the conceptually challenging processes of decentralization can be accurately measured and analyzed. The index can be used for hypothesis testing of the causality role of decentralization.

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Confirmatory Factor Analysis of Knowledge, Attitude, and Behaviour Questionnaire towards Oral Health among Indian Adults

Journal of Personalized Medicine ◽

10.3390/jpm11040320 ◽

2021 ◽

Vol 11 (4) ◽

pp. 320

Author(s):

Siddharthan Selvaraj ◽

Nyi Nyi Naing ◽

Nadiah Wan-Arfah ◽

Somasundaram Prasadh

Keyword(s):

Factor Analysis ◽

Oral Health ◽

Confirmatory Factor Analysis ◽

Construct Validity ◽

Goodness Of Fit ◽

Factor Model ◽

Measurement Model ◽

Model Validity ◽

Confirmatory Factor ◽

Three Factor

Background: Oral health-related conditions are among the common conditions seen in adults in India. The usage of inappropriate measurement tools that are unvalidated may result in deceptive and imprecise findings that might lead to substandard plans for cessation programs and ineffectiveness. This study was conducted to validate a questionnaire that can assess the factor structure of knowledge, attitude, and behaviour towards oral health among adults in India by confirmatory factor analysis. Methods: Simple random sampling was conducted among adults in India. A total of 260 adults participated in this study. The knowledge, attitude, and behaviour (KAB) questionnaire on oral health was circulated among the adults who were willing to participate in the study after it was explained to them, and the questionnaires were retrieved once they completed. Software R version 3.6 was used to analyse the data of this study. Robust maximum likelihood was utilized for the assessment due to the violation of multivariate normality assumption. For attitude and behaviour domain, a three-factor model was used for measurement model validity and construct validity. Results: The confirmatory factor analysis of the three-factor model for the 26-item KAB questionnaire on oral health gave sufficient goodness-of-fit values and the measurement model exhibited ideal convergent and discriminant validity following model re-specification. The three-factor model was tested to obtain measurement model validity and construct validity for attitude and behaviour domains. The results of this study gave a statistically significant value (p < 0.001), with χ2 (df) values of 39 (7) and 28 (11) for attitude and behaviour domains, respectively. Conclusions: The KAB oral health questionnaire used in this study has a valid measurement model and reliable constructs. It was found to be an ideal tool to measure the KAB towards oral health among adults in India.

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A Confirmatory Factor Analysis of the knowledge, attitude and practice questionnaire towards prevention of Respiratory tract infections during Hajj and Umrah

10.21203/rs.3.rs-18609/v1 ◽

2020 ◽

Cited By ~ 1

Author(s):

Mohammd Dauda Goni ◽

Nyi Nyi Naing ◽

Habsah Hasan ◽

Nadiah Wan-Arfah ◽

Zakuan Zainy Deris ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Respiratory Tract ◽

Respiratory Tract Infections ◽

Factor Model ◽

Measurement Model ◽

Attitude And Practice ◽

Confirmatory Factor ◽

Tract Infections ◽

Knowledge Attitude And Practice

Abstract Background Respiratory tract infections are one of the common infection associated with Hajj pilgrimage that is of great public health and global concern. This study is aimed at determining the factor structure of the knowledge, attitude and practice questionnaire for the prevention of respiratory tract infections during Hajj by confirmatory factor analysis (CFA). Methods A multistage cluster sampling method was conducted on Malaysian Umrah pilgrims during the weekly Umrah orientation course. A total of 200 Umrah pilgrims participated in the study. The KAP questionnaire was distributed to pilgrims at the beginning of the orientation and retrieved immediately at the end of the orientation. The robust maximum likelihood was used for the estimation due to the multivariate normality assumption violation. A two-factor model was tested for measurement model validity and construct validity for each of the attitude and practice domains. Results CFA of a 25-item in total, two-factor model yielded adequate goodness-of-fit values. The measurement model also showed a good convergent and discriminant validity after model re-specification. A two-factor model was tested for measurement model validity and construct validity for each of the attitude and practice domains. Conclusion The KAP questionnaire was proven to have a valid measurement model and reliable constructs. It was deemed suitable for use to measure the KAP of Hajj and Umrah pilgrims towards the prevention of respiratory tract infections.

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An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

Behavioural and Cognitive Psychotherapy ◽

10.1017/s1352465820000983 ◽

2021 ◽

pp. 1-11

Author(s):

Sarah Beale ◽

Silia Vitoratou ◽

Sheena Liness

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Cognitive Therapy ◽

Exploratory Factor Analysis ◽

Factor Structure ◽

Factor Model ◽

Single Factor ◽

Behaviour Therapy ◽

Cognitive Behaviour ◽

Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

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Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

Journal of Scleroderma and Related Disorders ◽

10.1177/2397198319849806 ◽

2019 ◽

Vol 4 (3) ◽

pp. 173-186 ◽

Cited By ~ 2

Author(s):

Mia Pépin ◽

Linda Kwakkenbos ◽

Marie-Eve Carrier ◽

Sandra Peláez ◽

Ghassan El-Baalbaki ◽

...

Keyword(s):

Social Support ◽

Factor Analysis ◽

Systemic Sclerosis ◽

North America ◽

Confirmatory Factor Analysis ◽

Support Groups ◽

Support Group ◽

Factor Model ◽

The United States ◽

Confirmatory Factor

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

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Latent structure of cognition in schizophrenia: a confirmatory factor analysis of the MATRICS Consensus Cognitive Battery (MCCB)

Psychological Medicine ◽

10.1017/s0033291715000641 ◽

2015 ◽

Vol 45 (12) ◽

pp. 2657-2666 ◽

Cited By ~ 18

Author(s):

A. McCleery ◽

M. F. Green ◽

G. S. Hellemann ◽

L. E. Baade ◽

J. M. Gold ◽

...

Keyword(s):

Working Memory ◽

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Factor Model ◽

Visual Learning ◽

Verbal Learning ◽

Speed Of Processing ◽

Confirmatory Factor ◽

Correlated Factors ◽

Cognitive Dimensions

BackgroundThe number of separable cognitive dimensions in schizophrenia has been debated. Guided by the extant factor analytic literature, the NIMH Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative selected seven cognitive domains relevant to treatment studies in schizophrenia: speed of processing, attention/vigilance, working memory, verbal learning, visual learning, reasoning and problem solving, and social cognition. These domains are assessed in the MATRICS Consensus Cognitive Battery (MCCB). The aim of this study was to conduct a confirmatory factor analysis (CFA) of the beta battery of the MCCB to compare the fit of the MATRICS consensus seven-domain model to other models in the current literature on cognition in schizophrenia.MethodUsing data from 281 schizophrenia outpatients, we compared the seven correlated factors model with alternative models. Specifically, we compared the 7-factor model to (a) a single-factor model, (b) a three correlated factors model including speed of processing, working memory, and general cognition, and (c) a hierarchical model in which seven first-order factors loaded onto a second-order general cognitive factor.ResultsMultiple fit indices indicated the seven correlated factors model was the best fit for the data and provided significant improvement in model fit beyond the comparison models.ConclusionsThese results support the assessment of these seven cognitive dimensions in clinical trials of interventions to improve cognition in schizophrenia. Because these cognitive factors are separable to some degree, it is plausible that specific interventions may have differential effects on the domains.

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