Confirmatory Factor Analysis and Structural Equation Models

2008 ◽  
pp. 301-336
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Confirmatory Factor

scholarly journals Examining the ParticipACTION brand using the brand equity pyramid

2018 ◽  
Vol 8 (4) ◽  
pp. 378-396 ◽  
Author(s):  
Alexander Lithopoulos ◽  
Peter A. Dacin ◽  
Tanya R. Berry ◽  
Guy Faulkner ◽  
Norm O’Reilly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Brand Equity ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Equation Modeling ◽  
Content Type ◽  
Activity Promotion ◽  
Confirmatory Factor

Purpose The brand equity pyramid is a theory that explains how people develop loyalty and an attachment to a brand. The purpose of this study is to test whether the predictions made by the theory hold when applied to the brand of ParticipACTION, a Canadian non-profit organization that promotes active living. A secondary objective was to test whether this theory predicted intentions to be more physically active. Design/methodology/approach A research agency conducted a cross-sectional, online brand health survey on behalf of ParticipACTION. Exploratory factor analysis and confirmatory factor analysis established the factor structure. Structural equation modeling was used to test the hypothesized model. Findings A nationally representative sample of Canadian adults (N = 1,191) completed the survey. Exploratory factor analysis and confirmatory factor analysis supported a hypothesized five-factor brand equity framework (i.e. brand identity, brand meaning, brand responses, brand resonance and intentions). A series of structural equation models also provided support for the hypothesized relationships between the variables. Practical implications Though preliminary, the results provide a guide for understanding the branding process in the activity-promotion context. The constructs identified as being influential in this process can be targeted by activity-promotion organizations to improve brand strength. A strong organizational brand could augment activity-promotion interventions. A strong brand may also help the organization better compete against other brands promoting messages that are antithetical to their own. Originality/value This is the first study to test the brand equity pyramid using an activity-promotion brand. Results demonstrate that the brand equity pyramid may be useful in this context.

Confirmatory Factor Analysis and Structural Equation Models to dissect the relationship between Gait and Morphology in Campolina horses

2021 ◽  
pp. 104779
Author(s):  
Fernando de Oliveira Bussiman ◽  
Fabyano Fonseca e Silva ◽  
Rachel Santos Bueno Carvalho ◽  
Ricardo Vieira Ventura ◽  
Elisângela Chicaroni Mattos ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Confirmatory Factor ◽  
The Relationship

scholarly journals Gıda İsrafının Davranışsal Belirleyicileri; Çorum İli Örneği

2019 ◽  
Vol 7 (3) ◽  
pp. 467 ◽  
Author(s):  
Gungor Karakas
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Food Waste ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Influential Factor ◽  
Human Consumption ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
United Nations Food

Food waste and loss is an ecological, economic and social problem. The United Nations Food and Agriculture Organization states that approximately one third of all edible foods produced for human consumption are wasted or lost after harvest. The aim of this study is to determine the factors affecting food waste behavior of consumers. In order to reach this aim, a questionnaire was conducted with 583 people in November and December of 2018 in Çorum province. The obtained data were analyzed and explained through Structural Equation Models. As a result of the exploratory factor analysis, a 5-factor structure explaining 76,612% of the total variance was obtained. These factors were named as norm, intention, result awareness, purchasing behavior and planning. These factors were found to have validity, reliability and internal consistency. In addition, it was investigated whether the factors were compatible with the fit indices by means of Confirmatory Factor Analysis. As a result of confirmatory factor analysis, it was determined that the obtained factors met the fit indices values. As a result of Confirmatory Factor Analysis, it was determined that the obtained factors met the fit index values. The effect of the factors on the relationship between each other and the waste behavior were measured by means of the path analysis. As a result of this study, although consumers have positive statements regarding consequence awareness, intent and norms, they have been determined to be unstable in planning and purchasing. Besides, although there was a direct effect of intent and result awareness on waste behavior, it was determined that planning and norms had indirect effects. Considering that the intention is the most influential factor on waste behavior, it should be focused on the activities that will create result awareness in society.

Autonomy and responsibility as a dual construct

2017 ◽  
Vol 19 (3) ◽  
pp. 195-204
Author(s):  
Danilo Garcia ◽  
Fredrik Ryberg ◽  
Ann-Christine Andersson Arnten ◽  
Trevor Archer ◽  
Ali Al Nima
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Intrinsic Motivation ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Energy Levels ◽  
High Energy ◽  
Self Management ◽  
Learning Climate ◽  
Confirmatory Factor

Law enforcement demands self-management, intrinsic motivation, high energy levels and tolerance to stress. The concept of self-management might involve both autonomy and responsibility. Autonomy and responsibility, however, are often considered and measured as the same construct even thought at a conceptual level they can be seen as a separate dual construct. Our aims were: (a) to investigate the duality of the concept autonomy and responsibility; and (b) to investigate this hypothesized dual construct’s association with stress, and energy and motivation dimensions among Swedish police personnel. Employees ( N = 617; males = 318, females = 292) from five Swedish police departments participated in the study. Autonomy and responsibility were assessed using one of the scales in the Learning Climate Questionnaire, motivation using a modified version of the Situational Motivation Scale, and stress and energy using the Stress/Energy Questionnaire. We conducted a confirmatory factor analysis and two structural equation models. The confirmatory factor analysis discerned two separate subscales that we defined as autonomy (e.g. ‘I feel free to organize my work the way I want to’) and responsibility (e.g. ‘We are not encouraged to take responsibility for our own learning’). Autonomy predicted both stress and energy, but only one dimension of motivation, that is, amotivation. Responsibility predicted energy and three of four motivations dimensions: intrinsic motivation, external regulation and amotivation. Hence, we suggest that the notion of autonomy and responsibility as a dual independent construct seems to be meaningful in the investigation of police personnel’s motivation, stress and energy.

scholarly journals Development and Validation of the Perceived Authenticity Scale for Cheese Specialties with Protected Designation of Origin

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 248
Author(s):  
Katia Laura Sidali ◽  
Roberta Capitello ◽  
Akhsa Joanne Taridaasi Manurung
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Representative Sample ◽  
Structural Equation ◽  
Consumer Behaviour ◽  
Structural Equation Models ◽  
Dairy Product ◽  
Protected Designation Of Origin ◽  
Confirmatory Factor ◽  
Development And Validation

Authenticity has become increasingly important in the modern market as consumers seek products more resonant of tradition and originality. This study aimed to develop and validate a perceived authenticity scale for food specialties. Furthermore, this work exposed the causal relationship between authenticity and consumer behaviour, by quantitatively analysing the effects of perception of authenticity and identification with a product on consumers’ willingness to consume the cheese Algovian Emmentaler, an iconic dairy product produced in southern Germany and protected with the designation of origin. Three surveys were conducted over two different timeframes. One served as a pre-test in Germany with a representative sample for the second two in Germany and Italy with a gourmet sample. Both objective authenticity and subjective authenticity were considered, with the former comprising concepts such as whether the respondent was sure of the cheese’s origin and the latter what the cheese embodied. Identification with Algovian Emmentaler was also surveyed. Exploratory factor analysis and confirmatory factor analysis were conducted on the survey data in order to construct an authenticity scale. Based on this scale, structural equation models were constructed. Objective authenticity was found to positively contribute to stated willingness to consume, as well as mediate subjective authenticity, which itself mediated the effects of identification. Subjective authenticity was a large contributing factor to willingness to consume among German consumers, whereas the effects of objective authenticity were higher in Italy compared with the former. Expectedly, identification with Algovian Emmentaler also had a high direct effect on willingness to consume in Germany.

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.

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.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

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