satisfaction_gender: Data: satisfaction including gender
In cSEM: Composite-Based Structural Equation Modeling
satisfaction_gender R Documentation
Data: satisfaction including gender
Description
A data frame with 250 observations and 28 variables.
Variables from 1 to 27 refer to six latent concepts: IMAG=Image,
EXPE=Expectations, QUAL=Quality, VAL=Value,
SAT=Satisfaction, and LOY=Loyalty.
- imag1-imag5
Indicators attached to concept IMAG which is supposed to
capture aspects such as the institutions reputation,
trustworthiness, seriousness, solidness, and caring
about customer.
- expe1-expe5
Indicators attached to concept EXPE which is supposed to
capture aspects concerning products and
services provided, customer service, providing solutions,
and expectations for the overall quality.
- qual1-qual5
Indicators attached to concept QUAL which is supposed to
capture aspects concerning reliability of products and services,
the range of products and services, personal advice,
and overall perceived quality.
- val1-val4
Indicators attached to concept VAL which is supposed to
capture aspects related to beneficial services and
products, valuable investments, quality relative to
price, and price relative to quality.
- sat1-sat4
Indicators attached to concept SAT which is supposed to
capture aspects concerning overall rating of satisfaction,
fulfillment of expectations, satisfaction relative to
other banks, and performance relative to customer's
ideal bank.
- loy1-loy4
Indicators attached to concept LOY which is supposed to
capture aspects concerning propensity to choose the
same bank again, propensity to switch to other bank,
intention to recommend the bank to friends,
and the sense of loyalty.
- gender
The sex of the respondent.
Usage
satisfaction_gender
Format
An object of class data.frame with 250 rows and 28 columns.
Details
This data set contains the variables from a customer satisfaction study of
a Spanish credit institution on 250 customers. The data is taken from the
plspm package. For convenience,
there is a version of the dataset with the last column (gender) removed: satisfaction.
Source
The plspm package (version 0.4.9).
Original source according to plspm:
"Laboratory of Information Analysis and Modeling (LIAM).
Facultat d'Informatica de Barcelona, Universitat Politecnica de Catalunya".
cSEM documentation built on Nov. 25, 2022, 1:05 a.m.
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| satisfaction_gender | R Documentation |
Data: satisfaction including gender
Description
A data frame with 250 observations and 28 variables.
Variables from 1 to 27 refer to six latent concepts: IMAG=Image,
EXPE=Expectations, QUAL=Quality, VAL=Value,
SAT=Satisfaction, and LOY=Loyalty.
- imag1-imag5
Indicators attached to concept
IMAGwhich is supposed to capture aspects such as the institutions reputation, trustworthiness, seriousness, solidness, and caring about customer.- expe1-expe5
Indicators attached to concept
EXPEwhich is supposed to capture aspects concerning products and services provided, customer service, providing solutions, and expectations for the overall quality.- qual1-qual5
Indicators attached to concept
QUALwhich is supposed to capture aspects concerning reliability of products and services, the range of products and services, personal advice, and overall perceived quality.- val1-val4
Indicators attached to concept
VALwhich is supposed to capture aspects related to beneficial services and products, valuable investments, quality relative to price, and price relative to quality.- sat1-sat4
Indicators attached to concept
SATwhich is supposed to capture aspects concerning overall rating of satisfaction, fulfillment of expectations, satisfaction relative to other banks, and performance relative to customer's ideal bank.- loy1-loy4
Indicators attached to concept
LOYwhich is supposed to capture aspects concerning propensity to choose the same bank again, propensity to switch to other bank, intention to recommend the bank to friends, and the sense of loyalty.- gender
The sex of the respondent.
Usage
satisfaction_gender
Format
An object of class data.frame with 250 rows and 28 columns.
Details
This data set contains the variables from a customer satisfaction study of
a Spanish credit institution on 250 customers. The data is taken from the
plspm package. For convenience,
there is a version of the dataset with the last column (gender) removed: satisfaction.
Source
The plspm package (version 0.4.9). Original source according to plspm: "Laboratory of Information Analysis and Modeling (LIAM). Facultat d'Informatica de Barcelona, Universitat Politecnica de Catalunya".
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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