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Confined space workers do a wide range of tasks, many of which have a significant risk of hazardous exposure. Hence, a reliable and valid questionnaire is important in assessing the knowledge, attitude, and practice (KAP) of workers in this field. The present study was conducted to develop and validate a questionnaire that could assess the KAP for safe working in a confined space. The questionnaire went through a development and validation process. The development stage consisted of a literature review, expert’s opinion, and evaluation by experts in the field via cognitive debriefing. The validation stage encompassed exploratory and confirmatory parts to investigate the psychometric properties of the questionnaire. A total of 350 participants were recruited among confined space workers from two oil and gas companies in Malaysia. The two-parameter logistic item response theory (2-PL IRT) analysis was used for the knowledge section. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used in the attitude and practice sections of the validation stage. The development stage resulted in 30 items for knowledge, attitude, and practice sections. Items in the knowledge section showed an acceptable difficulty and discrimination, as noted during the 2-PL IRT analysis. The EFA resulted in a one-factor model for attitude and practice sections, and contained 18 items, with factor loading > 0.4. The Cronbach’s alpha was 0.804 and 0.917 for attitude and practice sections, respectively. The CFA for attitude and practice sections indicated a good model fitness (Raykov’s rho = 0.814 and 0.912, respectively). All items indicated good reliability and valid psychometrics for determining KAP on safe working in a confined space.

The objective of the paper is to develop a validated scale to measure the factors that cause delays in infrastructure projects. The study employed a standard three phase scale development procedure of Churchill (1979) which was augmented subsequently by Nunnally, Bernstein and Berge (1994) and Prakash and Phadtare (2018). In phase one, 73 factors that cause delays were identified, which were reduced to 45 based on literature review and expert opinions. These 45 factors were subjected to an exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) in phase two and three, respectively, to refine and establish convergent, discriminant and nomological validity of the scale. The study confirms that delays in infrastructure projects happen due to six factors, i.e., Contractor Related Factors (CON); Consultant Related Factors (CS); External Factors (EX); Labour Related Factors (LR); Material Related Factors (MT) and Design Related Factors (DJ). The study is particularly useful for the firms engaged in the development of infrastructure projects globally, as it identifies and ranks the factors that cause delays in a project. However, the study being confirmatory in nature only confirms the grouping of factors causing delays and is also limited by the possibility of sampling error.

Purpose: To developed and introduced a measurement scale that may be useful to assess the competitive priorities practices in the manufacturing industries. The objective is to investigate the competitive priorities domains' implementation and its defining measurement items emphasizing manufacturing industries in the Union Territory of Puducherry. Design/methodology/approach: The essential information has been gathered from 350 manufacturing firms by utilizing very much stretchered polls; most part of the data was gathered from best dimension working people like Operations Managers, General Managers and Directors. For analyzing the data the researchers used SPSS and LISREL 8.72 software packages. To find out the result the researchers applied Confirmatory Factor Analysis in this research work. Findings: From the six domains analyzed the result shows that Delivery plays an important role as it occupies the first rank among the domains in competitive priority. Next to Delivery, the majority of the firms fasten more importance to Quality as it ranks second. Cost is ranked as third, while Know-how is ranked as fourth, Flexibility is ranked as fifth and Customer Focus is ranked as sixth. Practical implications: Based on the existing recommendations on scale development literature, authors developed the measurement scale. This measurement scale is helpful for both academicians and practitioners. In this research work authors used the measurement scale to measure the competitive priorities domains. Originality/value: The research paper explains about the manufacturing industries situated in Union Territory of Puducherry. The researchers developed the measurement instrument of competitive priorities practices based on six domains namely quality, cost, delivery, flexibility, customer focus, and know-how. This research work gives innovative literature by recommendations and validating a measurement scale for the competitive priorities. The result reveals that the manufacturing enterprises in the Union Territory of Puducherry.

Despite calls to conceptualize credibility as three separate concepts—source credibility, message credibility, and media credibility—there exists no scale that exclusively measures message credibility. To address this gap, the current study constructs and validates a new scale. Results from a confirmatory factor analysis suggest that message credibility, specifically in the context of news, can be measured by asking participants to rate how well three adjectives describe content: accurate, authentic, and believable. Validity and reliability tests are reported, and contributions to credibility research are discussed.

Although the majority of research focuses on the risks and disadvantages of online gaming, the present authors suggest that online games also represent new ways of satisfying basic human needs within the conditions of modern society. The aim of our present study was to reveal and operationalize the components of the motivational basis of online gaming. A total 3,818 persons (90.6% males; mean age 20.9 years, SD = 5.81) were recruited through websites providing online games. A combined method of exploratory and confirmatory factor analysis was applied. The results confirmed our preliminary model as we identified seven motivational factors (social, escape, competition, coping, skill development, fantasy, and recreation), which were used to develop the 27-item Motives for Online Gaming Questionnaire (MOGQ) . The seven dimensions identified seem to cover the full range of possible motives for gaming, and the MOGQ proved to be an adequate measurement tool to assess these motives.

This research is an extension of the recent scale development efforts for the marker variable Attitude Toward the Color Blue (ATCB), which addresses the efficacy of multiple shorter permutations of the scale. The purpose of this study is to develop a shorter version of an ideal marker variable scale used to detect common method variance. Potential uses of the shorter version of ATCB include intensive longitudinal studies, implementation of experience sampling methodology, or any brief survey for which the original version might be cumbersome to implement repeatedly or appear very odd to the respondent when paired with only a few other substantive items. Study 1, uses all six-, five-, and four-item versions of ATCB in confirmatory factor analysis (CFA) marker technique tests on a bivariate relationship. Study 2 analyzes the best- and worst-performing versions of reduced lengths of the ATCB scale found in the first study on another bivariate relationship. Study 3 compares the original seven-item version, as well as randomly selected reduced length versions in a data set with 15 model relationships. Study 4 uses an experiment to determine the efficacy of providing respondents with one of three shorter ATCB scales in a model of three substantive variables. Our findings indicate that ATCB of different permutations and lengths can detect CMV successfully, and that researchers should choose the length of scale based on their survey length. We conclude that ATCB is adaptable for a variety of research situations, presenting it as a valuable tool for high-quality research.

Objectives The Five Facet Mindfulness Questionnaire (FFMQ) is a popular self-report instrument for mindfulness assessment. However, several studies report mixed evidence regarding its reliability and validity. While recent replication studies have shown several issues regarding its latent structure, first-order facets seemed to replicate successfully. This study proposes an exploratory approach to these facets on an item level in one sample, with cross-validation in another sample. Methods Using a snowball sampling, 1008 participants were recruited in the first sample. Psychometric networks were applied to explore relations between items and item clusters. We compared these exploratory latent variable proposals with previous literature. A second sample of 1210 participants was collected from an FFMQ validation study, and confirmatory factor analyses were applied to cross-validate findings on the first sample. Results The FFMQ showed a positively correlated network. Exploratory analyses suggested the 5-facet structure as stable with alternatives of 4-facet (merging Observe and Non-Judging) and 6-facet (splitting Acting with Awareness in two) solutions. However, the CFAs in the second sample did not provide clear support to any solution. Conclusions The FFMQ showed unclear evidence on its latent structure. We propose researchers and users of the FFMQ to use the most fitting solution between the 5 and 6-facet solutions in their data, since the 4-facet solution is difficult to interpret. We also propose cautionary notes and guidelines for researchers and applied users of the FFMQ and regarding this instrument. We conclude that more research is needed in mindfulness assessment to provide robust measurements.

El análisis de la satisfacción académica constituye un aspecto clave para explicar la calidad del aprendizaje. Para medir el constructo, actualmente se dispone de la Escala de Satisfacción Académica (ESA), instrumento de medida basado en la perspectiva del bienestar psicológico. Debido a que no se cuenta con antecedentes sobre su aplicación en el contexto de la educación superior chilena, el objetivo del estudio fue evaluar la estructura factorial, consistencia interna y validez de la ESA en una muestra de estudiantes universitarios chilenos. Los participantes fueron 608 estudiantes de siete universidades chilenas. Los resultados del análisis factorial exploratorio (AFE) y confirmatorio (AFC) apoyaron la estructura unifactorial propuesta en el modelo original. Finalmente, los resultados del análisis factorial confirmatorio multigrupo (AFCM) apoyaron la invarianza del modelo de medida entre estudiantes mujeres y hombres. Se concluye que la ESA presenta adecuadas propiedades psicométricas para medir la satisfacción académica en estudiantes universitarios chilenos.

This paper aims to discover underlying, as yet theoretically and empirically unexplored, distinctions in citizens’ views of transnational solidarity within the European Union (EU). Building on literature regarding national welfare states, the paper presents an original concept of transnational solidarity consisting of two latent, not directly measurable, dimensions: first, citizens’ preferences for risk-sharing among EU states and, second, their preferences for intra-EU redistribution. The diverse types of transnational solidarity examined in previous research should be assignable to either one or the other dimension. Moreover, previous research is based on the idea that the concept of transnational solidarity is comparable across EU countries; however, this premise has not been empirically examined so far. To test both these assumptions, I analyze data collected in Austria, Germany, and Greece in 2019 or 2020. The study runs multi-group confirmatory factor analysis to test whether the presented concept of transnational solidarity (a) applies and (b) is comparable between these nations. The empirical analysis supports both these assumptions. The populations of the three countries share the same understanding of transnational solidarity even though the willingness to express cross-country risk-sharing and redistribution varies significantly between the states. The study contributes to current research in the fields of European integration, political sociology, and survey methodology.

INTRODUCTION The present study examined the dimensional structure of the neuropsychological test batteries from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) versions 2.0 and 3.0 and measurement equivalence across UDS versions and race/ethnicity groups. METHODS There were 49,895 participants included in the present study. The best‐fitting model was developed and tested in separate samples. Multiple group confirmatory factor analysis (CFA) evaluated measurement equivalence across UDS versions and race/ethnicity groups. RESULTS Results identified a best‐fitting four‐factor model with residual structure. Multiple group CFA supported partial scalar invariance by UDS version and race/ethnicity group. Regarding race/ethnicity groups, the Language and Attention domains had more non‐invariant intercepts, which most affected the White group. DISCUSSION A four‐factor model effectively summarizes the UDS neuropsychological test batteries across UDS versions and race/ethnicity groups. Crucial differences in measurement parameters must be accounted for in studies using these neuropsychological tests as outcomes. Highlights A four‐factor model summarizes cognition across Uniform Data Set (UDS) versions and race/ethnicity groups. Measurement invariance exists across race/ethnicity groups. Model fit differs between cognitively impaired and unimpaired samples. Accounting for differences in measurement parameters across groups is essential. Tailored normative data are crucial for certain UDS tests, including category fluency.