Modeling Latent Growth Curves With Incomplete Data Using Different Types of Structural Equation Modeling and Multilevel Software

2004 ◽  
Vol 11 (3) ◽  
pp. 452-483 ◽  
Author(s):  
Emilio Ferrer ◽  
Fumiaki Hamagami ◽  
John J. McArdle
2011 ◽  
Vol 39 (9) ◽  
pp. 1245-1250 ◽  
Author(s):  
I-Ping Chiang ◽  
Chung-Hsien Hsieh

In this study we investigated the preferences of blog readers for the purpose of designing effective blog marketing campaigns. We surveyed 965 customers who have searched for product information via blogs before consuming, and used structural equation modeling to analyze the data. The results showed that the convenience provided by blogs is an important reason for consumers to use the medium for product research. Blog marketing elements were also analyzed in terms of interactional sharing, novelty, and professional characteristics. It was found that interactional sharing most affects consumers' intention to purchase. Additionally, for those who use blogs as a way to search for different types of products, degree of expertise is also an important factor.


2019 ◽  
Vol 17 (1) ◽  
pp. e0104 ◽  
Author(s):  
Jorge Pelegrín ◽  
Carlos González-Menorca ◽  
Lino Meraz

Wineries are using wine tourism to sell directly to consumers and develop brand equity. Studies show that emotions directly affect the purchase of products. However, they do not know the degree to which the emotions produced by the winery visit, the wine offer, or news about wine influence wine sales. The aim of this study was to compare the influence of emotions produced by the wine, the emotions produced by the winery visit and the emotions produced by the wine news on wine purchase intent. This paper applied structural equation modeling to a sample of 600 wine tourists in order to explain the influence of the emotions generated by the wine, the winery visit, and wine news on wine purchase intent. The results show that the different types of emotions affect tourists’ wine purchase intent differently. The percentage of variance explained was 34.6% for the model of the emotions produced by the wine vs. 10.3% for the model of the emotions produced by the winery visit and 6.3% for the model of the emotions produced by the wine news. The emotions produced by the wine offer have the greatest influence. The emotions produced by the winery visit were much less influential. Wine news had only a minor influence on purchase intent. Key findings for management are discussed.


2008 ◽  
Vol 13 (3) ◽  
pp. 230-253 ◽  
Author(s):  
Michael Eid ◽  
Fridtjof W. Nussbeck ◽  
Christian Geiser ◽  
David A. Cole ◽  
Mario Gollwitzer ◽  
...  

1994 ◽  
Vol 16 (2) ◽  
pp. 187-205 ◽  
Author(s):  
Terry E. Duncan ◽  
Roy Oman ◽  
Susan C. Duncan

Exercise behavior research typically suffers from attrition and other forms of missing data. In studies that suffer from this common malady, several researchers have demonstrated that correct maximum likelihood estimation with missing data can be obtained under mild assumptions concerning the missing data mechanism. Model estimation with distinct missing data patterns can, in many cases, be carried out utilizing existing structural equation modeling software that allow for the simultaneous analysis of mean and covariance structures for multiple groups. Findings are discussed in relation to the utility of latent variable structural equation modeling techniques for analysis with incomplete data in the study of social-psychological determinants of exercise behavior.


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