scholarly journals Examining the Relationships of Cognitive, Affective, and Conative Destination Image: A Research on Safranbolu, Turkey

2016 ◽  
Vol 9 (5) ◽  
pp. 164 ◽  
Author(s):  
Umit Basaran
Keyword(s):  
Factor Analysis ◽  
Destination Image ◽  
Hierarchical Regression ◽  
Affective Component ◽  
Cognitive Component ◽  
Confirmatory Factor ◽  
Managerial Implications ◽  
Affective Components ◽  
Positive Word Of Mouth ◽  
The Relationship

<p>Destination image is formed by three distinctly different but hierarchically interrelated components called cognitive, affective, and conative (Gartner, 1993:193). In this context, the main purpose of this research is to confirm the relationships between the cognitive, affective, and conative components of destination image. It also aims to reveal the multidimensional nature of cognitive destination image and determine the dimensions that compose it. Data for the sample was collected from 446 tourists who visited Safranbolu, Turkey. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and hierarchical regression analysis were conducted to test the hypotheses. The results show that the cognitive destination image is a multidimensional construct. Also it is confirmed that destination image is a hierarchical structure within the cognitive, affective, and conative components. The assessment of both the cognitive and the affective components of destination image can be used as a predictor of tourists’ behavioral intentions toward destinations, such as intention to revisit, recommend, and spread positive word of mouth. Moreover, it is revealed that the affective component is influenced by the cognitive component and the affective component also mediates the relationship between the cognitive and conative components. These results provide some theoretical and managerial implications.</p>

On The Field: Examining Differences in Video Format in Sports Media Viewing

2020 ◽  
Vol 64 (1) ◽  
pp. 781-785
Author(s):  
Ragan Wilson ◽  
Christopher B. Mayhorn
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Spatial Presence ◽  
Sports Media ◽  
User Perceptions ◽  
Video Footage ◽  
Confirmatory Factor ◽  
Need To Evaluate ◽  
The Relationship ◽  
Video Format

With virtual reality’s emerging popularity and the subsequent push for more sports media experiences, there is a need to evaluate virtual reality’s use into more video watching experiences. This research explores differences in experiences between Monitor (2D) video and HMD (360-Degree) video footage by measuring user perceptions of presence, suspense, and enjoyment. Furthermore, this study examines the relationship between presence, game attractiveness, suspense, and enjoyment as explored by Kim, Cheong, and Kim (2016). Differences were assessed via a MANOVA examining specifically presence, suspense, and enjoyment while the relationships were explored via a confirmatory factor analysis. Results suggest that there was a difference between Monitor (2D) video and HMD (360-Degree) in regard to spatial presence, engagement, suspense, and enjoyment, but the previous model from Kim et al. (2016) was not a good fit to this study’s data.

scholarly journals An International Reading Literacy Study: Factor Structure of the Chinese Version of the Student Questionnaire (PIRLS-SQCV 2011)

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Joseph W. I. Lam ◽  
W. M. Cheung ◽  
Doreen W. H. Au ◽  
Hector W. H. Tsang ◽  
Wendy W. Y. So ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
International Comparisons ◽  
Chinese Version ◽  
Reading Literacy ◽  
Structure Model ◽  
Confirmatory Factor ◽  
Student Questionnaire ◽  
The Relationship ◽  
Home And School

The student questionnaire (PIRLS-SQ 2011) of the Progress in International Reading Literacy Study (PIRLS) was designed to gather information from pupils on reading literacy development as to aspects of pupils’ self-lives, home, and school lives across countries/districts. In order to serve the purposes of research and international comparison, the questionnaire was translated into various languages. Using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), the current study investigates the psychometric properties of the Chinese version of the student questionnaire (PIRLS-SQCV 2011) and identifies its underlying factor structure among Chinese fourth-grade pupils in Hong Kong. A 10-factor structure model was identified and much resemblance could be drawn to the original PIRLS structure. While the similarity allows international comparisons of studies in different places following the PIRLS strategy, the findings of this study add to extant literature on the relationship between student factors and reading achievement.

An Evaluation of the Organizational Learning Survey

2002 ◽  
Vol 91 (3_suppl) ◽  
pp. 1255-1267 ◽  
Author(s):  
Subhra Chakrabarty ◽  
Joseph N. Rogé
Keyword(s):  
Factor Analysis ◽  
Organizational Learning ◽  
Confirmatory Factor Analysis ◽  
Random Sample ◽  
Mail Survey ◽  
Marketing Managers ◽  
Confirmatory Factor ◽  
Managerial Implications

A mail survey of a national random sample of 2,000 marketing managers was conducted. The data provided by 221 respondents were analyzed to assess the unidimensionality of the 21-item 1997 Organizational Learning Survey developed by Goh and Richards. A confirmatory factor analysis using LISREL 8.30 did not support the unidimensionality of the 21-item survey; however, unidimensionality was established for most of the dimensions. Managerial implications and directions for research were suggested.

scholarly journals Modeling and Analysis of the Motivations of Fast Fashion Consumers in Relation to Innovativeness

2016 ◽  
Vol 16 (4) ◽  
pp. 205-213
Author(s):  
Canan Saricam ◽  
Nazan Erdumlu
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Fast Fashion ◽  
Modeling And Analysis ◽  
Confirmatory Factor ◽  
The Relationship

Abstract In this study, fast fashion concept is investigated in order to understand the motivations of the consumers that make them adopt these products because of their willingness for the innovativeness. The relationship between the motivational factors which were named as “Social or status image” and “Uniqueness” as expressions of individuality, “Conformity” and the willingness for “Innovativeness” is analyzed using a conceptual model. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used to analyze and validate the model. The data used for the study was obtained from 244 people living in Turkey. The findings showed that the motivational factors “Social or status image” and “Uniqueness” as expressions of individuality are influential on the consumers’ willingness for “Innovativeness”.

scholarly journals Effect of Emotional Intelligence and trust on Bank performance (Evidence SME’s in Indonesia)

2019 ◽  
Vol 12 (3) ◽  
pp. 1848-1855
Author(s):  
Titok Waskito Adi ◽  
Budi Prasetyo ◽  
Erlyna Hidyantari
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Financial Performance ◽  
Banking Sector ◽  
Bank Performance ◽  
Confirmatory Factor ◽  
The Relationship ◽  
Practical Implications

This study aims to analyze trust in the relationship between staff and customers in the banking sector, its influence on financial performance in the level of emotional intelligence (EI) and their trust. Respondents were asked to complete EI tests and questions related to trust behavior. Exploratory factor analysis and confirmatory factor analysis and correlation analysis are used to identify relationships. Trust's findings are known to consist of three components: trustworthy; knowledge; and expectations. Furthermore, there is a significant correlation between trust and EI, when compared to the financial performance of relationship managers. Research weaknesses/ implications The method used by banks in collecting performance data limits the analysis that can be held. Practical implications increasing relationship manager awareness of their own emotions, and how they perceive and act on the emotions of others, will positively influence financial performance.

scholarly journals The Italian Version of Smartphone Addiction Inventory (SPAI-I) for Adolescents: Confirmatory Factor Analysis and Relation with Self-Control and Internalized-Externalized Symptoms

2021 ◽  
Author(s):  
Giulia Bassi ◽  
Adriana Lis ◽  
Tatiana Marci ◽  
Silvia Salcuni
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Self Control ◽  
Smartphone Addiction ◽  
Confirmatory Factor ◽  
Smartphone Use ◽  
Strengths And Difficulties ◽  
The Relationship

AbstractThe increased smartphone use in adolescence has led clinicians and researchers to carry out in-depth studies on the matter. Adolescents seem to be at risk of smartphone addiction because they are yet to develop self-control in smartphone use. This psychometric study aimed at examining the levels of validity evidence for the Smartphone Addiction Inventory-Italian (SPAI-I) version for adults, among adolescents. Confirmatory Factor Analysis confirmed the factor structure of the SPAI-I version for adults among adolescents but not the exploratory factor structure for adults of the original Smartphone Addiction Inventory (SPAI). Convergent validity was assessed by examining the relationship between SPAI-I, self-control, and internalized and externalized problems. A total of 446 Italian adolescents (mean age = 16.04, SD = 1.72, 36.3% males) completed the Self-Restraint Subscale of the Adolescent Self-Consciousness and the Strengths and Difficulties Questionnaires—with a specific focus on the subscales of internalized and externalized problems. Present findings suggested that the SPAI-I version could be used to assess smartphone overuse among adolescents according to a multidimensional perspective.

The LIVES Daily Hassles Scale and Its Relation to Life Satisfaction

Assessment ◽  
2021 ◽  
pp. 107319112110478
Author(s):  
Shagini Udayar ◽  
Ieva Urbanaviciute ◽  
Davide Morselli ◽  
Grégoire Bollmann ◽  
Jérome Rossier ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Factor Analysis ◽  
Principal Axis ◽  
Daily Hassles ◽  
Hierarchical Regression ◽  
Panel Surveys ◽  
Five Factors ◽  
Confirmatory Factor ◽  
Principal Axis Factor Analysis ◽  
German Speaking

Although daily hassles have been of interest since the 1980s, only a few tools have been developed to assess them. Most of them are checklists or open-ended questions that are demanding for participants in panel surveys. Therefore, to facilitate daily hassles integration into large surveys, the aim of this study was to present a new tool assessing daily hassles, the LIVES–Daily Hassles Scale (LIVES-DHS), and to examine its relation to life satisfaction, in a sample of 1,170 French- and German-speaking adults living in Switzerland. In a first random subsample, we conducted a principal axis factor analysis, and the results suggested a five-factor solution. Furthermore, we conducted a confirmatory factor analysis on a second random subsample, and it supported the hierarchical factor structure of the scale. The LIVES-DHS consists of 18 items represented by five factors that describe five sources of daily hassles: financial, physical, relational, environmental, and professional. The bivariate correlations showed that the LIVES-DHS could differentiate the concept of daily hassles from associated concepts. Finally, the hierarchical regression showed that daily hassles negatively predicted life satisfaction and added a significant incremental variance beyond that accounted for by age, gender, household income, education level, and personality traits.

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

Consumer-Brand Engagement With E-Commerce Market Place Brands

2020 ◽  
Vol 18 (3) ◽  
pp. 21-37 ◽  
Author(s):  
Pankaj Kumar Mohanty ◽  
Dipanjan Kumar Dey
Keyword(s):  
Positive Impact ◽  
Consumer Involvement ◽  
Limited Attention ◽  
Multivariate Techniques ◽  
Market Place ◽  
Brand Engagement ◽  
Confirmatory Factor ◽  
Positive Word Of Mouth ◽  
The Impact ◽  
The Relationship

Consumer-brand engagement (CBE) has gained much attention from both the academicians and practitioners. However, despite such scholarly attention, only a few studies have empirically tested the scale of CBE. Moreover, limited attention is paid toward examining the consumer-brand relationships in the e-commerce marketplace context. The study is an empirical investigation of the new ways for examining CBE by testing the impact of consumer advocacy (CA). Furthermore, the study has examined and validated the relationship between consumer involvement (CI) and CBE in the e-commerce marketplace context. The study has further examined the impact of CBE on two outcome variables, viz., positive word-of-mouth (PWOM) and brand usage intention (BUI). A sample size of 408 has been collected randomly from a postgraduate program of a large university located in south India. Various multivariate techniques (Confirmatory Factor Analysis & Path Analysis) have been applied to validate and test the proposed relationships. The results indicate that both CI and CA positively influence CBE. Further, CBE has a positive impact on PWOM and BUI.

scholarly journals The CSGU: A Measure of Controllability, Stability, Globality, and Universality Attributions

2008 ◽  
Vol 30 (5) ◽  
pp. 611-641 ◽  
Author(s):  
Pete Coffee ◽  
Tim Rees
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Self Efficacy ◽  
Interactive Effects ◽  
Hierarchical Regression ◽  
Regression Analyses ◽  
Confirmatory Factor ◽  
And Performance

This article reports initial evidence of construct validity for a four-factor measure of attributions assessing the dimensions of controllability, stability, globality, and universality (the CSGU). In Study 1, using confirmatory factor analysis, factors were confirmed across least successful and most successful conditions. In Study 2, following less successful performances, correlations supported hypothesized relationships between subscales of the CSGU and subscales of the CDSII (McAuley, Duncan, & Russell, 1992). In Study 3, following less successful performances, moderated hierarchical regression analyses demonstrated that individuals have higher subsequent self-efficacy when they perceive causes of performance as controllable, and/or specific, and/or universal. An interaction for controllability and stability demonstrated that if causes are perceived as likely to recur, it is important to perceive that causes are controllable. Researchers are encouraged to use the CSGU to examine main and interactive effects of controllability and generalizability attributions upon outcomes such as self-efficacy, emotions, and performance.

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