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Service Quality Interaction Quality Service Attitude Customer Satisfaction Hotel Industry
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This study used principal components as a method of extracting factors. In
order to explain and label the factors, this study used the Varimax rotation to
revolve the factor axis to make it clearer. Based on Hair and his collegues' (1998)
suggestions, this study kept items with a factor loading above 0.5 to increase
its construct validity. There were 4 factors extracted (eigenvalue > 1) from the
28 items of service attitude, with a 68.02% variance explained. Every service
attitude variable had a clear factor loading on the four dimensions as shown in
Product Details
- Format:Hardback
- Edition:2020
- Publisher:Mahi Publication
- Language:English
- ISBN10:978-93-89339-50-5
Product Description
This study used principal components as a method of extracting factors. In
order to explain and label the factors, this study used the Varimax rotation to
revolve the factor axis to make it clearer. Based on Hair and his collegues' (1998)
suggestions, this study kept items with a factor loading above 0.5 to increase
its construct validity. There were 4 factors extracted (eigenvalue > 1) from the
28 items of service attitude, with a 68.02% variance explained. Every service
attitude variable had a clear factor loading on the four dimensions as shown in
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