scholarly journals Institutional Pressures and Isomorphism

2016 ◽  
Vol 19 (4) ◽  
pp. 435-460 ◽  
Author(s):  
Jeremy G. Carter
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Weighted Least Squares ◽  
Future Research ◽  
Institutional Pressures ◽  
Fit Indices ◽  
Weighted Least Squares Estimation ◽  
Integral Role ◽  
Free Function

Previous research employing an institutional theoretical framework posits environmental factors play an integral role in the adoption of police practices. The present study applies this framework to examine the adoption of intelligence-led policing (ILP). Data from a purposive sample of national intelligence personnel from 254 agencies are used to employ both a measurement and structural model to explain ILP adoption. Weighted least squares estimation is employed through an asymptotic distribution free function to estimate the measurement and structural equation models. Models exhibit good fit indices, while institutional pressures, among others, had a significant and positive effect on ILP adoption. Findings support the role of institutional pressures in the diffusion of police practice. Implications for future research and policy are discussed.

scholarly journals Human Resources Management Practices Perception and Extra-Role Behaviors: The Role of Employability and Learning at Work

2021 ◽  
Vol 13 (16) ◽  
pp. 8803
Author(s):  
Francesco Pace ◽  
Emanuela Ingusci ◽  
Fulvio Signore ◽  
Giulia Sciotto
Keyword(s):  
Structural Equation ◽  
Management Practices ◽  
Structural Model ◽  
Structural Equation Models ◽  
Human Resources Management ◽  
Fit Indices ◽  
Beneficial Effects ◽  
Hrm Practices ◽  
Learning At Work ◽  
Role Behaviors

Human Resource Management (HRM) processes are considered the beating heart of any successful organization. Recently, several studies have highlighted how organizations can use commitment-oriented HR practices to generate organizational and individual effectiveness. The aim of this study was to verify whether the perception of HRM practices could be able to elicit extra-role behaviors and, at the same time, whether this relationship could be mediated by employability and learning conditions. The analyses were carried out on a sample of 1219 Italian workers using Structural Equation Models. The structural model yielded good fit indices and the results showed a significant and positive effect of the perception of HRM practices on both employability and learning. However, the perception of HRM practices is not directly associated with extra-role behaviors, but only through the effect of both mediators (full mediation). Practical implications about the importance of creating working conditions that are adequately oriented to the development of individual skills in order to produce indirect beneficial effects on the organization are discussed.

Emotions as Antecedents of Participant Sport Consumption Decisions: A Model Integrating Emotive, Self-Based, and Utilitarian Evaluations

2011 ◽  
Vol 25 (4) ◽  
pp. 314-325 ◽  
Author(s):  
Joon-Ho Kang ◽  
Richard P. Bagozzi ◽  
Jawang Oh
Keyword(s):  
Physical Activity ◽  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Context Effects ◽  
Future Research ◽  
Consumption Decisions ◽  
Sport Consumption ◽  
Self Image ◽  
Participant Sport

Although emotion has occasionally been examined as a dependent variable or outcome of physical activity involvement, it rarely has been studied as an antecedent. This study examines the role of emotion in decision-making processes for participant sport consumption. A structural model is proposed to integrate emotions with self-image congruency and attitudes as antecedents of the decision to initiate physical activity in the consumption context. Context effects were investigated by two scenarios: (1) joining a private health club and (2) skiing in an indoor ski resort. A total of 199 persons responded, and structural equation models were examined. The results indicate that emotion mediates the influence of attitudes and self-image congruency on the decision to join the club and resort. The pattern of the relationships among utilitarian, self-based, and emotive evaluations depends on the sport consumption context. Discussion of theoretical and practical issues is presented and directions for future research are suggested.

A Cautionary Note on Incremental Fit Indices Reported by LISREL

Methodology ◽  
2005 ◽  
Vol 1 (2) ◽  
pp. 81-85 ◽  
Author(s):  
Stefan C. Schmukle ◽  
Jochen Hardt
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Null Model ◽  
Likelihood Estimation ◽  
Parameter Estimates ◽  
Fit Indices ◽  
Cautionary Note ◽  
Confirmatory Factor

Abstract. Incremental fit indices (IFIs) are regularly used when assessing the fit of structural equation models. IFIs are based on the comparison of the fit of a target model with that of a null model. For maximum-likelihood estimation, IFIs are usually computed by using the χ2 statistics of the maximum-likelihood fitting function (ML-χ2). However, LISREL recently changed the computation of IFIs. Since version 8.52, IFIs reported by LISREL are based on the χ2 statistics of the reweighted least squares fitting function (RLS-χ2). Although both functions lead to the same maximum-likelihood parameter estimates, the two χ2 statistics reach different values. Because these differences are especially large for null models, IFIs are affected in particular. Consequently, RLS-χ2 based IFIs in combination with conventional cut-off values explored for ML-χ2 based IFIs may lead to a wrong acceptance of models. We demonstrate this point by a confirmatory factor analysis in a sample of 2449 subjects.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

Assessment of Teacher Attitudes Toward Inclusion of Students with Disabilities: A Confirmatory Factor Analysis

1997 ◽  
Vol 14 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Georgios D. Sideridis ◽  
Judy P. Chandler
Keyword(s):  
Physical Education ◽  
Music Education ◽  
Students With Disabilities ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Future Research ◽  
Physical Education Teachers ◽  
The Status ◽  
Fit Index

The Teacher Integration Attitudes Questionnaire (TIAQ) was developed in order to assess the attitudes and beliefs of teachers (n = 110) with regard to the inclusion of students with disabilities in regular education settings. Using Structural Equation Modeling, the final structural model of the TIAQ comprised four constructs, namely, “Skills,” “Benefits,” “Acceptance,” and “Support.” The final model was fully supported by the derivation sample of music education teachers (n = 54) and produced a Comparative Fit Index (CFI = 1.00). The replication sample of physical education teachers (n = 56) partially supported the generality of the TIAQ, (CFI = .844). Further, the internal consistency properties of the TIAQ (Cronbach’s alpha was .77 for both samples) were satisfactory. We conclude that the psychometric properties of the TIAQ were adequate, and it can be used as a valid assessment in evaluating the status of inclusion for students with disabilities as perceived by music education and physical education teachers. However, future research is needed to support its generality with other groups of teachers and professionals.

Using structural equation modelling to assess the sustainable competitive advantages provided by the low-cost carrier model

2018 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vedant Singh ◽  
S. Vaibhav ◽  
Somesh Kr. Sharma
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Low Cost ◽  
Future Research ◽  
Competitive Advantages ◽  
Content Type ◽  
Equation Modelling ◽  
Five Factors ◽  
Sustainable Competitive Advantages

PurposeThe purpose of this study is to examine the relationships between the dimensions of sustainable competitive advantages in the Indian low cost airlines.Design/methodology/approachThis study used structural equation modelling methods to identify the factors that significantly affect the sustainable competitive advantages enjoyed by Indian low-cost carriers (LCCs). Specifically, this study is based on the data from 208 airline experts that populate multiple structural equation models.FindingsResults indicate that indigenous efficiency, the LCCs perceptions of threat, dexterity, strategic persuasion and the LCC adopting an enabling role positively affect LCCs’ competitive advantages. These five factors were all correlated with each other. The results also show that relative to an LCC’s dexterity, indigenous efficiency is a stronger predictor of an LCC’s competitive advantages.Originality/valueThis study provides low-cost airlines with valuable information for designing effective strategies for obtaining competitive advantages in the LCC sector. To conclude the paper, the authors offer practical recommendations for managers and suggest some avenues for future research in this area.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

1981 ◽  
Vol 18 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Claes Fornell ◽  
David F. Larcker
Keyword(s):  
Measurement Error ◽  
Sample Size ◽  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Statistical Tests ◽  
Explanatory Power ◽  
Measurement Model ◽  
Measurement Properties ◽  
Chi Square

The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addition to the known problems related to sample size and power, is that it may indicate an increasing correspondence between the hypothesized model and the observed data as both the measurement properties and the relationship between constructs decline. Further, and contrary to common assertion, the risk of making a Type II error can be substantial even when the sample size is large. Moreover, the present testing methods are unable to assess a model's explanatory power. To overcome these problems, the authors develop and apply a testing system based on measures of shared variance within the structural model, measurement model, and overall model.

scholarly journals Modeling Associations between Chemosensation, Liking for Fats and Sweets, Dietary Behaviors and Body Mass Index in Chronic Smokers

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 271 ◽  
Author(s):  
Brittany Larsen ◽  
Mark Litt ◽  
Tania Huedo-Medina ◽  
Valerie Duffy
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Structural Equation ◽  
Weight Control ◽  
Structural Equation Models ◽  
Dietary Behaviors ◽  
Future Research ◽  
Taste Intensity ◽  
Food Liking ◽  
Identification Function

Chronic smokers have a greater risk for altered chemosensation, unhealthy dietary patterns, and excessive adiposity. In an observational study of chronic smokers, we modeled relationships between chemosensation, fat/carbohydrate liking, smoking-associated dietary behaviors, and body mass index (BMI). Also tested in the model was liking for sweet electronic cigarette juice (e-juice). Smokers (n = 135, 37 ± 11 years) were measured for: Taste genetics (intensity of 6-n-propylthiouracil—PROP); taste (NaCl and quinine intensities) and olfactory (odor identification) function; liking for cherry e-juice; and weight/height to calculate BMI. Smokers survey-reported their food liking and use of smoking for appetite/weight control. Structural equation models tested direct and indirect relationships between chemosensation, fat/carbohydrate liking, dietary behaviors, and BMI. In good-fitting models, taste intensity was linked to BMI variation through fat/carbohydrate liking (greater PROP intensity→greater NaCl intensity→greater food liking→higher BMI). Olfactory function tended to predict sweet e-juice liking, which, in turn, partially mediated the food liking and BMI association. The path between smoking-associated dietary behaviors and BMI was direct and independent of chemosensation or liking. These findings indicate that taste associates with BMI in chronic smokers through liking of fats/carbohydrates. Future research should determine if vaping sweet e-juice could improve diet quality and adiposity for smokers.

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