scholarly journals Development and Psychometric Properties of NEGORI (Negative Orientation Questionnaire)

2018 ◽  
Vol 9 ◽  
Author(s):  
László Kasik ◽  
Zita Gál ◽  
Edit Tóth
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Structural Equation ◽  
Age Groups ◽  
Questionnaire Development ◽  
Equation Model ◽  
Social Problem Solving ◽  
Negative Consequences ◽  
Good Reliability ◽  
Negative Orientation

There are several available questionnaires that measure negative problem orientation with one factor. Our aim was to create a multifactor questionnaire that enables a more detailed and reliable analysis of interpersonal problems and one's negative orientation toward their solutions in adolescence. We carried out two data collections during the development of the questionnaire (N2016 = 952, N2017 = 835) among 12-, 15- and 18-year-olds. The tested statements were chosen based on the category system of an earlier pilot research, as well as students’ and professionals’ statements, which were then organised into a factor structure. To analyse convergent and discriminative validity, the Social Problem-Solving Inventory — Revised (SPSI-R; D'Zurilla et al., 2002) was used. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) greatly support the theoretical factor structure, and the structural equation model (SEM) also confirmed what had been thought about the system of connections of the latent dimensions. The result of the questionnaire development is the 21-item, six-factor NEGORI (Negative Orientation Questionnaire), which bears good reliability indexes in all age groups and can measure the following aspects within negative orientation: negative self-efficacy; negative consequences; positive consequences; habits, pattern; waiting; fending off the problem. We gained different and more detailed information as compared to previous data related to age and gender.

scholarly journals Human Capital and Eco-Contractual Governance in Small Farms in Poland: Simultaneous Confirmatory Factor Analysis with Ordinal Variables

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 46
Author(s):  
Bazyli Czyżewski ◽  
Agnieszka Sapa ◽  
Piotr Kułyk
Keyword(s):  
Human Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Agricultural Policy ◽  
Structural Equation ◽  
Equation Model ◽  
Small Farms ◽  
Ordinal Variables ◽  
Confirmatory Factor ◽  
Contractual Governance

Human capital (HC) plays an important role in modern agriculture. The difference in efficiency of assets explains only about a half of the economic performance of agricultural farms, while the other half relies on HC. Although education and training are the main components of HC, it may also be viewed from the perspective of behavioral theories that were taken under consideration in this study. The role of HC in sustainable farming has not been sufficiently explained when it comes to contractual governance (CG). In this study, the meaning of contractual governance was extended and the eco-contractual governance (ECG) concept was proposed, which stands for CG induced by agri-environmental contracts. The main objective of the article is to confirm the latent concepts of HC and ECG and to verify their correlation in view of the standards imposed by the agricultural policy. To achieve this goal, a structural equation model was developed and simultaneous confirmatory factor analysis with ordinal variables was carried out based on the sample of 674 small farms in Poland. The analysis has confirmed a relatively strong correlation between HC and ECG. It was revealed that training plays a crucial role in this relationship, while economic dependence on agricultural policy weakens the effectiveness of both HC and ECG.

scholarly journals An evaluation of the factor structure of the Self-Assessed Wisdom Scale (SAWS) and the creation of the SAWS-15 as a short measure for personal wisdom

2021 ◽  
pp. 1-11
Author(s):  
Trilas M. Leeman ◽  
Bob G. Knight ◽  
Erich C. Fein ◽  
Sonya Winterbotham ◽  
Jeffrey Dean Webster
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Latent Variables ◽  
Emotional Regulation ◽  
Short Form ◽  
Age Groups ◽  
Total Sample ◽  
Future Research ◽  
Personal Wisdom ◽  
Age Range

ABSTRACT Objectives: Although wisdom is a desirable life span developmental goal, researchers have often lacked brief and reliable construct measures. We examined whether an abbreviated set of items could be empirically derived from the popular 40-item five-factor Self-Assessed Wisdom Scale (SAWS). Design: Survey data from 709 respondents were randomly split into two and analyzed using confirmatory factor analysis (CFA). Setting: The survey was conducted online in Australia. Participants: The total sample consisted of 709 participants (M age = 35.67 years; age range = 15–92 years) of whom 22% were male, and 78% female. Measurement: The study analyzed the 40-item SAWS. Results: Sample 1 showed the traditional five-factor structure for the 40-item SAWS did not fit the data. Exploratory factor analysis (EFA) on Sample 2 offered an alternative model based on a 15-item, five-factor solution with the latent variables Reminiscence/Reflection, Humor, Emotional Regulation, Experience, and Openness. This model, which replicates the factor structure of the original 40-item SAWS with a short form of 15 items, was then confirmed on Sample 1 using a CFA that produced acceptable fit and measurement invariance across age groups. Conclusions: We suggest the abbreviated SAWS-15 can be useful as a measure of individual differences in wisdom, and we highlight areas for future research.

Factor Structure of Shortened Children's Embedded Figures Test for Different Age Groups

1986 ◽  
Vol 63 (2) ◽  
pp. 479-486 ◽  
Author(s):  
Robert C. Hardy ◽  
John Eliot ◽  
Kenneth Burlingame
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Total Population ◽  
Age Groups ◽  
Total Sample ◽  
Factor Loadings ◽  
Embedded Figures Test ◽  
Embedded Figures

240 children, 24 of each sex in Grades K to 4, were administered the entire Children's Embedded Figures Test, regardless of the failure rule. Factor loadings for items from a shortened version of the test were examined for a randomly divided sample, a sample divided by sex, a sample divided in two grade groupings, and an undivided total population. Stable factors were found for the total sample and when the sample was divided by sex. Analysis indicated that the factor analysis of the shortened form was consistent with previous analyses using the total scale.

Measuring Complexity: A Confirmatory Factor Analysis Approach

2017 ◽  
Vol 33 (4) ◽  
pp. 380-391
Author(s):  
John C. Reed ◽  
George E. Higgins
Keyword(s):  
Factor Analysis ◽  
Organizational Change ◽  
Law Enforcement ◽  
Structural Equation ◽  
Police Department ◽  
Equation Model ◽  
Law Enforcement Agencies ◽  
Reporting Practices ◽  
Policies And Procedures ◽  
Confirmatory Factor

This study examines complexity as a measure of support for organizational redirection. This study considers whether 16 items (culture, mission, values, decentralization, policies and procedures, administrative reporting practices, weapons, contract, pay, benefits, patrol boundaries, equalization of workload, size of boundaries, communications, 10-codes, and car numbers) appropriately characterized a suppressed measure of complexity related to complex organizational change, a police department merger. The current study utilizes data collected from 390 sworn officers from two merged law enforcement agencies in Kentucky. The results of the structural equation model analysis supported the view that four factors (mission, logistics, benefits, and policy) fashion an underlying construct for measuring complexity related to organizational change/redirection. The implications of these findings are also considered.

scholarly journals PERAN INOVASI KONSUMEN DALAM MENCIPTAKAN NIAT BERPERILAKU (Survei Pada Konsumen SFA Steak & Resto Surakarta)

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Lamidi Lamidi ◽  
Marjam Desma Rahadhini
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Confirmatory Factor ◽  
Convenience Sampling

Penelitian ini bertujuan menganalisis pengaruh inovasi konsumen dengan beberapa faktor yang menjadi penentu niat berperilaku konsumen. Penelitian ini berupaya mengetahui pentingnya inovasi konsumen, dengan mempertimbangkan rasa terima kasih konsumen, citra restoran dalam berinovasi, dan kewajaran harga sebagai variabel mediasi. Penelitian ini merupakan survei. Pengumpulan data menggunakan kuesioner. Populasi penelitian adalah konsumen di wilayah Surakarta. Sampel ditentukan sebanyak 130 responden dengan metode convenience sampling, yaitu konsumen yang melakukan pembelian di SFA Steak & Resto Surakarta. Pengujian validitas menggunakan Confirmatory Factor Analysis (CFA), dan Cronbach’s Alpha untuk uji reliabilitas. Analisis data menggunakan Structural Equation Model (SEM) dengan program Amos. Temuan penelitian menunjukkan bahwa inovasi konsumen berpengaruh terhadap ucapan terima kasih dan citra restoran, tetapi tidak berpengaruh terhadap kewajaran harga; ucapan terima kasih berpengaruh terhadap kewajaran harga dan niat berperilaku; citra restoran berpengaruh terhadap kewajaran harga dan niat berperilaku; kewajaran harga tidak berpengaruh terhadap niat berperilaku. Implikasi penelitian hendaknya SFA Steak & Resto Surakarta perlu mempertimbangkan pembuatan menu-menu baru supaya semakin variatif pilihan konsumen, selain itu karyawan perlu mengucapkan terima kasih setelah memberikan pelayanan kepada konsumen.Kata kunci: inovasi konsumen, rasa terima kasih, kewajaran harga, citra restoran, dan niat berperilaku

scholarly journals Multi‐dimensional nature of service innovation

2011 ◽  
Vol 31 (11) ◽  
pp. 1164-1192 ◽  
Author(s):  
Renu Agarwal ◽  
Willem Selen
Keyword(s):  
Factor Analysis ◽  
Empirical Data ◽  
Structural Equation ◽  
Service Innovation ◽  
Telecommunications Industry ◽  
Equation Model ◽  
Future Research ◽  
Extensive Literature ◽  
Service Network ◽  
Content Type

PurposeInnovation in services is thought to be multi‐dimensional in nature, and in this context the purpose of this paper is to present and operationalise the concept of “elevated service offerings” (ESO) in collaborating service organisations. ESO stands for new or enhanced service offerings which can only be eventuated as a result of partnering, and which could not be delivered on individual organisational merit. ESO helps us expand our understanding of service innovation to include a service network or service system's dimension.Design/methodology/approachA structural equation model is specified and estimated based on constructs and relationships grounded in the literature, as well as self‐developed constructs, using empirical data from 449 respondents in an Australian telecommunications service provider (SP) and its partnering organisations.FindingsResults show that ESO is a multi‐dimensional construct which was operationalised and validated through an extensive literature review, exploratory factor analysis, confirmatory factor analysis, and structural equation modelling using a holdout sample.Research limitations/implicationsQualitative and empirical data analysis was undertaken with data collected from a single large telecommunications SP organisation, and its partnering organisations. Future research may seek to collect data from the entire telecommunications industry sector and their partnering organisations, across other service sectors, or even any other organisation where collaboration is pivotal to their success.Practical implicationsService organisations today need to understand that innovation in services is not just about process or product innovation, or even performance and productivity improvements, but in fact includes organisational forms of innovation. Indeed, the interactions and complementarities between the three different aspects of ESO – strategic, productivity, and performance – highlight the increasing complex and multi‐dimensional character of innovation and the ongoing iterative process.Originality/valueThis research provides empirical evidence for the existence of a multi‐dimensional innovation in services construct – known as elevated service offerings in a collaborative service network, along with an adapted definition of service and a service innovation model.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Green Organizational Culture: An Exploration of Dimensions

2021 ◽  
pp. 097215092110498
Author(s):  
Priyanka Aggarwal ◽  
Tanuja Agarwala
Keyword(s):  
Factor Analysis ◽  
Organizational Culture ◽  
Competitive Advantage ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Questionnaire Development ◽  
Three Dimensions ◽  
Sustainable Competitive Advantage ◽  
The Impact

Awareness of environmental issues and stakeholder expectations has led organizations to be concerned about the impact of their products, processes and packaging on the natural environment. Environmental sustainability has become an essential tool for the competitive advantage of firms. Organizations need to bring about cultural transformation to sustain competitive advantage. This orientation has brought green organizational culture to centre stage as firms seek to institutionalize and incorporate environmental focus throughout the organization. The belief that integrating environmental concerns with organizational culture should result in sustainable competitive advantage mandates that firms measure the extent of ‘greening’ of the culture. Literature review reveals that ‘green organizational culture’ has begun to receive attention in recent years. However, a standardized and empirically validated instrument is not available for measuring the extent to which green values are internalized throughout the firm. The present study aims to fill this gap by developing a questionnaire to study green organizational culture (GOC). The model proposed by Harris and Crane (2002 , Journal of Organizational Change Management, vol. 15, pp. 214–234) is used as a basis for questionnaire development. A two-stage method of structural equation modelling in AMOS 23 is employed for data analysis. Exploratory factor analysis in SPSS reveals three dimensions of the construct measured by two items. Confirmatory factor analysis confirms the factor structure. The instrument satisfies the conditions of convergent and discriminant validity and the model fulfils the criteria for model fitness. Measurement of green organizational culture has important implications for creating and reinforcing greening through human resource policies and practices.

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