Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

Jaramillo05

Dataset from Jaramillo, Mulki & Marshall (2005)


Description

A dataset of the relationship between organizational commitment (OC) and salesperson job performance (JP) from Jaramillo, Mulki & Marshall (2005).

Usage

data(Jaramillo05)

Format

A data frame with 61 observations on the following 10 variables.

Author

a character vector of study

Sample_size

sample size of the study

Sales

sample type; either "mixed", "nonsales" or "sales"

Country

a character vector of country of study

IDV

Hofstede's (1997) individualism index

OC_scale

scale of OC; either "Porter or Mowday", "Meyer" or "other"

OC_alpha

Coefficient alpha of organizational commitment

JP_alpha

Coefficient alpha of job performance

r

correlation between organizational commitment and job performance

r_v

sampling variance of r

Source

Jaramillo, F., Mulki, J. P., & Marshall, G. W. (2005). A meta-analysis of the relationship between organizational commitment and salesperson job performance: 25 years of research. Journal of Business Research, 58(6), 705-714. doi:10.1016/j.jbusres.2003.10.004

Examples

## Not run: 
## Research question 4.4.1
summary(meta(r, r_v, data=Jaramillo05))

## Research question 4.4.2
## Select cases with either "sales" or "nonsales"
Sales.df <- subset(Jaramillo05, Sales %in% c("sales", "nonsales"))

## Create a predictor with 1 and 0 when they are "sales" or "nonsales", respectively
predictor <- ifelse(Jaramillo05$Sales=="sales", yes=1, no=0)

## Mixed-effects meta-analysis
summary( meta(y = r, v = r_v, x = predictor, data = Jaramillo05) )

## Research question 4.4.3
summary(meta(r, r_v, x=IDV, data=Jaramillo05))

## End(Not run)

metaSEM

Meta-Analysis using Structural Equation Modeling

v1.2.5
GPL (>= 2)
Authors
Mike Cheung [aut, cre] (<https://orcid.org/0000-0003-0113-0758>)
Initial release
2020-11-29

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.