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This table contains data from the article by Tenenhaus et al. (2005), see reference below.
data(mobile)
A data frame with 250 observations on 24 variables on a scale from 0 to 100. The variables refer to seven latent concepts: 1) IMAG=Image, 2) EXPE=Expectations, 3) QUAL=Quality, 4) VAL=Value, 5) SAT=Satisfaction, 6) COM=Complaints, and 7) LOY=Loyalty.
IMAG: Includes variables such as reputation, trustworthiness, seriousness, and caring about customer's needs.
EXPE: Includes variables such as products and services provided and expectations for the overall quality.
QUAL: Includes variables such as reliable products and services, range of products and services, and overall perceived quality.
VAL: Includes variables such as quality relative to price, and price relative to quality.
SAT: Includes variables such as overall rating of satisfaction, fulfillment of expectations, satisfaction relative to other phone providers.
COM: Includes one variable defining how well or poorly custmer's complaints were handled.
LOY: Includes variables such as propensity to choose the same phone provider again, propensity to switch to other phone provider, intention to recommend the phone provider to friends.
ima1First MV of the block Image
ima2Second MV of the block Image
ima3Third MV of the block Image
ima4Fourth MV of the block Image
ima5Fifth MV of the block Image
exp1First MV of the block Expectations
exp2Second MV of the block Expectations
exp3Third MV of the block Expectations
qua1First MV of the block Quality
qua2Second MV of the block Quality
qua3Third MV of the block Quality
qua4Fourth MV of the block Quality
qua5Fifth MV of the block Quality
qua6Sixth MV of the block Quality
qua7Seventh MV of the block Quality
val1First MV of the block Value
val2Second MV of the block Value
sat1First MV of the block Satisfaction
sat2Second MV of the block Satisfaction
sat3Third MV of the block Satisfaction
compFirst MV of the block Complaints
loy1First MV of the block Loyalty
loy2Second MV of the block Loyalty
loy3Third MV of the block Loyalty
Tenenhaus, M., Esposito Vinzi, V., Chatelin Y.M., and Lauro, C. (2005) PLS path modeling. Computational Statistics & Data Analysis, 48, pp. 159-205.
data(mobile)
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