gesca.rick2: Bagozzi's organizational identification example

In gesca: Generalized Structured Component Analysis (GSCA)

Description

This example is part of the organizational identification data used in Bergami and Bagozzi (2000). The data are used in Hwang and Takane (2014) (see Chapter 3). The data contain a sample of 305 employees (male = 157 and female = 148) and 22 indicators.

Usage

data(gesca.rick2)

Format

A data frame with 305 observations on the following 22 variables.

gender

grouping variable - gender (1 = male, 2 = female)

cei1

First indicator associated with the first latent variable - Organizational Prestige

cei2

Second indicator associated with the first latent variable - Organizational Prestige

cei3

Third indicator associated with the first latent variable - Organizational Prestige

cei4

Fourth indicator associated with the first latent variable - Organizational Prestige

cei5

Fifth indicator associated with the first latent variable - Organizational Prestige

cei6

Sixth indicator associated with the first latent variable - Organizational Prestige

cei7

Seventh indicator associated with the first latent variable - Organizational Prestige

cei8

Eighth indicator associated with the first latent variable - Organizational Prestige

ma1

First indicator associated with the second latent variable - Organizational Identification

ma2

Second indicator associated with the second latent variable - Organizational Identification

ma3

Third indicator associated with the second latent variable - Organizational Identification

ma4

Fourth indicator associated with the second latent variable - Organizational Identification

ma5

Fifth indicator associated with the second latent variable - Organizational Identification

ma6

Sixth indicator associated with the second latent variable - Organizational Identification

orgcmt1

First indicator associated with the third latent variable - Affective Commitment-Joy

orgcmt2

Second indicator associated with the third latent variable - Affective Commitment-Joy

orgcmt3

Third indicator associated with the third latent variable - Affective Commitment-Joy

orgcmt7

Fourth indicator associated with the third latent variable - Affective Commitment-Joy

orgcmt5

First indicator associated with the fourth latent variable - Affective Commitment-Love

orgcmt6

Second indicator associated with the fourth latent variable - Affective Commitment-Love

orgcmt8

Third indicator associated with the fourth latent variable - Affective Commitment-Love

References

Bergami, M., & Bagozzi, R. P. (2000). Self-categorization, affective commitment and group self-esteem as distinct aspects of social identity in the organization. British Journal of Social Psychology, 39(4), 555-577.

Hwang, H., & Takane, Y. (2014). Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling (pp.112-119). Boca Raton, FL: Chapman & Hall/CRC Press.

Examples

data(gesca.rick2)
str(gesca.rick2)

Example output

'data.frame':	305 obs. of  22 variables:
 $ gender : int  1 1 1 1 1 1 1 1 1 1 ...
 $ cei1   : int  3 4 5 4 4 4 4 4 4 4 ...
 $ cei2   : int  3 5 5 4 4 4 4 3 4 5 ...
 $ cei3   : int  3 3 4 4 4 4 3 3 4 3 ...
 $ cei4   : int  4 4 4 4 4 4 5 4 4 5 ...
 $ cei5   : int  3 4 5 4 4 4 5 4 4 5 ...
 $ cei6   : int  3 3 4 4 4 4 3 3 4 3 ...
 $ cei7   : int  3 3 4 4 4 4 3 3 4 3 ...
 $ cei8   : int  3 3 5 4 4 4 4 4 4 4 ...
 $ ma1    : int  4 2 3 4 4 3 3 4 4 3 ...
 $ ma2    : int  4 2 2 4 4 3 4 4 4 4 ...
 $ ma3    : int  4 3 4 4 4 4 4 5 4 5 ...
 $ ma4    : int  4 3 3 4 4 3 3 4 5 4 ...
 $ ma5    : int  3 2 2 4 4 3 4 4 4 4 ...
 $ ma6    : int  4 3 4 4 4 2 2 4 4 4 ...
 $ orgcmt1: int  3 3 1 3 3 2 3 3 3 4 ...
 $ orgcmt2: int  2 1 3 3 3 2 4 3 4 4 ...
 $ orgcmt3: int  3 3 3 2 3 2 3 4 4 4 ...
 $ orgcmt7: int  4 3 4 3 3 2 3 3 4 4 ...
 $ orgcmt5: int  3 3 4 3 3 3 3 2 2 3 ...
 $ orgcmt6: int  3 3 3 3 3 4 3 3 2 4 ...
 $ orgcmt8: int  3 3 2 3 3 2 3 2 2 3 ...

gesca documentation built on May 2, 2019, 7:28 a.m.