The measurement structure of dispositional hope: Hierarchical and bifactor models

Hope is a higher-order cognitive construct relating to expectations of or beliefs in wish fulfillment, which has been conceptualized as consisting of 2 components: pathways thinking (the perceived means available to individuals that allow them to achieve their goals) and agency thinking (belief in one's ability to succeed in using the identified pathways). We aimed to clarify the measurement structure of the Chinese version of the Adult Dispositional Hope Scale, using a sample of 751 university student participants. We employed confirmatory factor analysis to compare 1-factor, 2-factor, second-order, and bifactor models. The results showed that all models fit the measured data well. However, the bifactor model had the best fit indices, whereas the second-order model was the most consistent with the theoretical measurement model. To verify that hope theory and the corresponding instruments can be confidently applied to cross-cultural samples, it is necessary to further assess their reliability and validity in a Chinese cultural context through a measurement structure analysis.

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How to Measure Baha’i Religiosity: The CRSi-20 for Baha’is as a First Reliable and Valid Measurement

Religions ◽

10.3390/rel11010029 ◽

2020 ◽

Vol 11 (1) ◽

pp. 29 ◽

Cited By ~ 3

Author(s):

Sarah Demmrich

Keyword(s):

Reliability And Validity ◽

Psychology Of Religion ◽

Fit Indices ◽

Factor Analyses ◽

Confirmatory Factor Analyses ◽

Public Practice ◽

Valid Measurement ◽

Confirmatory Factor ◽

Emic Perspective

The concepts and measurements in psychology of religion often adhere to its Judeo-Christian roots, which causes problems when measuring non-Christian religiosity. In this paper, two successive studies are presented. The first study applied Huber’s CRS-15, while the second study used the CRSi-20. Both samples consisted of believers of the non-Christian, Abrahamic Baha’i religion in Germany. In the first study, in which N = 472 participated (MAge = 43.22, SDAge = 15.59, 60.0% female), the reliability and validity issues related to items of public practice and experience of the CRS-15 were uncovered. After modifying the content of these items and adding the five additional items of the interreligious CRSi-20, which was tested among N = 324 participants (MAge = 47.12, SDAge = 17.06, 59.6% female) in a second study, most reliability issues were solved. Confirmatory factor analyses revealed that the CRSi-20 model describes the data appropriately with adequate fit indices. Therefore, the CRSi-20 for Baha’is offers the first reliable and valid measurements of Baha’i religiosity, being at the same time capable of taking the emic perspective fully into account while maintaining the possibility of cross-religious comparisons.

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Explicating the South African Psychological Ownership Questionnaire’s confirmatory factor analysis model fit: A Bayesian structural equation modelling approach

SA Journal of Industrial Psychology ◽

10.4102/sajip.v45i0.1643 ◽

2019 ◽

Vol 45 ◽

Author(s):

Pieter Schaap

Keyword(s):

South African ◽

Structural Equation ◽

Measurement Model ◽

Model Fit ◽

Psychological Ownership ◽

Fit Indices ◽

Chi Square ◽

Equation Modelling ◽

Confirmatory Factor ◽

Global Fit

Orientation: The rigid application of conventional confirmatory factor analysis (CFA) techniques, the overreliance on global model fit indices and the dismissal of the chi-square statistic appear to have an adverse impact on the research of psychological ownership measures.Research purpose: The purpose of this study was to explicate the South African Psychological Ownership Questionnaire’s (SAPOS’s) CFA model fit using the Bayesian structural equation modelling (BSEM) technique.Motivation for the study: The need to conduct this study derived from a renewed awareness of the incorrect use of the chi-square statistic and global fit indices of CFA in social sciences research.Research approach/design and method: The SAPOS measurement model fit was explicated on two study samples consisting, respectively, of 712 and 254 respondents who worked in various organisations in South Africa. A Bayesian approach to CFA was used to evaluate if local model misspecifications were substantive and justified the rejection of the SAPOS model.Main findings: The findings suggested that a rejection of the SAPOS measurement model based on the results of the chi-square statistic and global fit indices would be unrealistic and unfounded in terms of substantive test theory.Practical/managerial implications: BSEM appeared to be a valuable diagnostic tool to pinpoint and evaluate local CFA model misspecifications and their effect on a measurement model.Contribution/value-add: This study showed the importance of considering local misspecifications rather than only relying the chi-square statistic and global fit indices when evaluating model fit.

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Evaluating the measuring properties of the principal instructional management rating scale in the Chinese educational system

Educational Management Administration & Leadership ◽

10.1177/1741143217700282 ◽

2017 ◽

Vol 46 (4) ◽

pp. 624-641 ◽

Cited By ~ 4

Author(s):

Panayiotis Antoniou ◽

Mohan Lu

Keyword(s):

Construct Validity ◽

Internal Consistency ◽

Educational System ◽

Rating Scale ◽

Reliability And Validity ◽

Fit Indices ◽

Instructional Management ◽

System A ◽

Confirmatory Factor ◽

The Face

During the last 25 years researchers have proposed a number of conceptual frameworks to measure the various functions of instructional leadership. One of the most frequently used frameworks is the Principal Instructional Management Rating Scale (PIMRS). Despite the great number of studies employing the PIMRS, evidence for its reliability and validity is relatively limited. In addition, we still don’t know much about the extent to which this instrument could be used in diverse demographic and cultural educational settings. This study explores the content, face, and construct validity, reliability and internal consistency of the PIMRS in the Chinese educational system. A total number of 311 teachers from five middle schools in the Haidian District of Beijing participated in the study. The data were analysed using Confirmatory Factor Analysis (CFA). On an overall basis the results provided support for the face, content, and construct validity, reliability and internal consistency of the PIMRS. However, six out of the 50 items had to be removed to reach satisfactory fit indices. Implications of the findings in relation to the importance of evaluating the measuring properties of research instruments are discussed and, finally, suggestions for future studies are provided.

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Measurement Structure of the Trait Hope Scale in Persons With Spinal Cord Injury: A Confirmatory Factor Analysis

Rehabilitation Research Policy and Education ◽

10.1891/2168-6653.27.3.206 ◽

2013 ◽

Vol 27 (3) ◽

pp. 206-212 ◽

Cited By ~ 3

Author(s):

Susan Miller Smedema ◽

Joseph Pfaller ◽

Erin Moser ◽

Wei-Mo Tu ◽

Fong Chan

Keyword(s):

Spinal Cord ◽

Spinal Cord Injury ◽

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Reliability And Validity ◽

Measurement Model ◽

Cord Injury ◽

Confirmatory Factor ◽

Factor Measurement ◽

Trait Hope

Objective: To evaluate the measurement structure of the Trait Hope Scale (THS) among individuals with spinal cord injury.Design: Confirmatory factor analysis and reliability and validity analyses were performed.Participants: 242 individuals with spinal cord injury.Results: Results support the two-factor measurement model for the THS with agency and pathways thinking positively associated with hope-related constructs such as self-efficacy, self-esteem, disability acceptance, and life satisfaction in the predicted direction.Conclusions: The use of the THS among individuals with disabilities is warranted for rehabilitation research and practice.

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Psychometric properties of the scale: perception of the information and communication technologies for Knowledge Management

Paakat ◽

10.32870/pk.a11n20.536 ◽

2021 ◽

Vol 11 (20) ◽

pp. 1-26

Author(s):

Román Alberto Quijano García ◽

◽

Deneb Elí Magaña Medina

Keyword(s):

Factor Analysis ◽

Knowledge Management ◽

Confirmatory Factor Analysis ◽

Psychometric Properties ◽

Information And Communication Technologies ◽

Reliability And Validity ◽

Communication Technologies ◽

Measurement Model ◽

Confirmatory Factor ◽

Information And Communication

The objective of this research is to discuss the psychometric elements of reliability and validity on a measurement model that determines the perception on information and communication technologies for knowledge management in organizations. The scale is based on 6 questions and 2 structured factors in a Likert-type scale, with 5 answer options. It was applied to 337 small and medium companies with diverse specialties within the building field in the state of Campeche. The results of the exploratory and confirmatory factor analysis show an adequate fit and the reliability values are also satisfactory (χ2 = 24.97, p = .002, SRMR = .01, AGFI = .93, TLI = .97, CFI =. 98, RMSEA .07 IC90 [.04-.11]; α = .88), thus confirming the empirical strength of the model. It is concluded that the scale is valid and reliable for use in the context studied.

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

The International Journal of Aging and Human Development ◽

10.1177/0091415018822093 ◽

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.

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Quality 4.0 – a measurement model using the confirmatory factor analysis (CFA) approach

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-06-2021-0172 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

G.S. Sureshchandar

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Industry 4.0 ◽

Research Work ◽

Reliability And Validity ◽

Measurement Model ◽

Future Research ◽

Content Type ◽

Formidable Challenge ◽

Confirmatory Factor

PurposeThe disruptions caused by new-age technologies of Industry 4.0 are posing a formidable challenge to researchers, academicians and practitioners alike. Quality 4.0 that depicts the role of the quality function in the Industry 4.0 scenario must be comprehended so that the rudiments of Quality 4.0 are understood properly, and interventions can be made to embrace the new normal. As the literature on Quality 4.0 is extremely scarce, empirical studies are mandatory to augment the process of theory building.Design/methodology/approachThe research work identifies 12 axes of the Quality 4.0 revolution based on literature review and insights from experts. Subsequently, a measurement model is formulated and an instrument to measure the level of Quality 4.0 implementation is developed. The measurement model has been checked for model fit, reliability and validity using the confirmatory factor analysis approach.FindingsThe proposed model was found to be adequate, reliable and valid and concludes that though technology plays a significant role in the development of the Quality 4.0 system, aspects of traditional quality are very much apropos to transform to the next frontier of quality.Research limitations/implicationsImplications for future research are provided which would help to further explore the nascent field of Quality 4.0.Practical implicationsThis research would help the practitioners better understand the various requirements and measure the degree of implementation of a Quality 4.0 system.Originality/valueThe present research is perhaps the first of its kind in propounding a measurement model, through empirical analysis, for the betterment of the understanding of Quality 4.0 and its associated constituents.

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Factor Structure and Invariance of the POMS Mood State Questionnaire in Spanish

The Spanish Journal of Psychology ◽

10.1017/s1138741600003991 ◽

2010 ◽

Vol 13 (1) ◽

pp. 444-452 ◽

Cited By ~ 9

Author(s):

Elena Andrade ◽

Constantino Arce ◽

Julio Torrado ◽

Javier Garrido ◽

Cristina De Francisco ◽

...

Keyword(s):

Goodness Of Fit ◽

Mood State ◽

Measurement Model ◽

Original Form ◽

Fit Indices ◽

Data Set ◽

First Order ◽

Proposed Model ◽

Confirmatory Factor ◽

Sample Set

The purpose of this study was to examine the extent to which the Spanish POMS assesses the same factors as the original form of the questionnaire. We started from a version with 63 items, representing seven conceptual dimensions. This version was administered to a sample of 364 adult athletes. In the whole sample, exploratory factor analytic findings suggested a more parsimonious measurement model, with 44 items and 6 first-order factors. Then the data from said sample were randomly divided into two sets, each containing about 50% of the subjects. The fit of the first sample set (n = 166) to the proposed model was adequate. Four of the main goodness-of-fit indices exhibited the following values: CFI = .95, NNFI = .95, SRMR = .083, and RMSEA = .064. We tested the same model in the second data set (n = 198), in which the fit was also acceptable, with values of .95, .94, .088, and .066 for CFI, NNFI, SRMR, and RMSEA, respectively. In addition, we used multi-group confirmatory factor analysis to provide evidence on the invariance of the model.

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Assessing a Chinese Version of the Runco Ideational Behavior Scale

Social Behavior and Personality An International Journal ◽

10.2224/sbp.2015.43.7.1111 ◽

2015 ◽

Vol 43 (7) ◽

pp. 1111-1122 ◽

Cited By ~ 5

Author(s):

Kuan Chen Tsai

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Chinese Language ◽

Reliability And Validity ◽

Measurement Model ◽

Original Study ◽

Chinese Version ◽

Language Version ◽

Confirmatory Factor ◽

Behavior Scale

I assessed the reliability and validity of a Chinese version of the Runco Ideational Behavior Scale (RIBS). I recruited 107 Taiwanese children (46 boys and 61 girls) for this study. The results indicated that the Chinese version of the RIBS is valid and reliable to some extent. A 2-factor construct was confirmed by confirmatory factor analysis, which is congruent with the statistical observations in the original study by Runco and colleagues. Nevertheless, the major difference between the current and original studies is that, in order to attain measurement model validity, 6 items were dropped from the Chinese version of the RIBS. Overall, the results obtained in the current study indicate that this abridged Chinese-language version of the RIBS has promise for future use. Limitations and implications of the study are discussed.

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Consumers’ luxury value perception in the Brazilian premium beer market

International Journal of Wine Business Research ◽

10.1108/ijwbr-09-2015-0043 ◽

2016 ◽

Vol 28 (4) ◽

pp. 369-386 ◽

Cited By ~ 5

Author(s):

Karim Marini Thomé ◽

Guilherme da Mata Pinho ◽

Daiane Pereira Fonseca ◽

Ariel Barros Pirangy Soares

Keyword(s):

Structural Equation ◽

Reliability And Validity ◽

Measurement Model ◽

Equation Modeling ◽

Content Type ◽

Four Dimensions ◽

Value Perception ◽

Beer Consumption ◽

Confirmatory Factor ◽

Practical Implications

Purpose The purpose of this paper is to analyze the consumers’ luxury value perception in Brazilian premium beer market. Design/methodology/approach Data from a survey of 418 Brazilian consumers were used to test the research model. Confirmatory factor analysis was conducted to examine the reliability and validity of the measurement model, and the structural equation modeling was used to analyze the consumers’ luxury value perception. Findings The analytical results showed that the dimensions of social, individual and functional values featured items with high significance. For the fourth dimension (financial value), just one item presented relevance. Along with it, correlation between dimensions was analyzed. All four dimensions have higher significance and great estimates. Research limitations/implications This research was executed in a single country environment. Practical implications Results suggest that the only significant item to the consumers’ luxury value perception in the dimension of financial value is the higher price of premium beers. Other dimensions are well fit for the premium beer market. Originality/value To present date, marketing literature in the beer issue approaches its consumption as an economic phenomenon. This paper develops a notion that beer consumption can also be approached in a luxury consumption perspective. The framework developed in this paper can assist future researchers to consider consumption of different types and levels of beer, based on luxury value perception.

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