Learn R Programming
genpathmox (version 0.7)

csibank: CSIbank

Description

CSIbank

Usage

csibank

Arguments

Format

A data frame with 1707 observations on the following 32 variables. The first five variables are segmentation variables. The rest of the variables refer to seven latent concepts: 1) IMAG=Image, 2) EXPE=Expectations, 3) QUAL=Quality, 4) VAL=Value, 5) SAT=Satisfaction, and 6) LOY=Loyalty. Variables description

  • IMAG: Includes variables such as reputation, trustworthiness, seriousness, solidness, and caring about customer's needs.

  • EXPE: Includes variables such as products and services provided, customer service, providing solutions, and expectations for the overall quality.

  • QUAL: Includes variables such as reliable products and services, range of products and services, personal advice, and overall perceived quality.

  • VAL: Includes variables such as beneficial services and products, valuable investments, 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 banks, and performance relative to customer's ideal bank.

  • LOY: Includes variables such as propensity to choose the same bank again, propensity to switch to other bank, intention to recommend the bank to friends, and sense of loyalty.

Manifest variables description

  • imag1First MV of the block Image

  • imag2Second MV of the block Image

  • imag3Third MV of the block Image

  • imag4Fourth MV of the block Image

  • imag5Fifth MV of the block Image

  • imag6Sixth MV of the block Image

  • expe1First MV of the block Expectations

  • expe2Second MV of the block Expectations

  • expe3Third MV of the block Expectations

  • expe4Fourth MV of the block Expectations

  • qual1First MV of the block Quality

  • qual2Second MV of the block Quality

  • qual3Third MV of the block Quality

  • qual4Fourth MV of the block Quality

  • qual5Fifth MV of the block Quality

  • qual6Sixth MV of the block Quality

  • qual7Seventh MV of the block Quality

  • val1First MV of the block Value

  • val2Second MV of the block Value

  • val3Third MV of the block Value

  • val4Fourth MV of the block Value

  • sat1First MV of the block Satisfaction

  • sat2Second MV of the block Satisfaction

  • sat3Third MV of the block Satisfaction

  • loy1First MV of the block Loyalty

  • loy2Second MV of the block Loyalty

  • loy3Third MV of the block Loyalty

Segmentation Variables description

  • Gendera factor with levels Female Male

  • Agea factor with levels <=25 >=66 26-35 36-45 46-55 56-65

  • Educationa factor with levels Elementary Graduated Highschool Undergrad Unfinished

  • Occupationa factor with levels Manager MediumEmplo Notemploy OwnFreelan Retired

  • Regiona factor with levels Center East North

References

Lamberti, G. (2014) Modeling with Heterogeneity. PhD Dissertation.