salary: Salary example from Cohen, Cohen, Aiken and West (2003)

In psychTools: Tools to Accompany the 'psych' Package for Psychological Research

Salary example from Cohen, Cohen, Aiken and West (2003)

Description

Four predictors of academic salary are used as examples in Cohen, Cohen, Aiken, and West (2003) may be used for demonstration purposes of multiple regression and multiple correlation.

Usage

data("salary")

Format

A data frame with 62 observations on the following 5 variables.

time

Time since Ph.D.

publications

Number of publications

female

gender Male=0, Female =1

citations

Number of citations

salary

Salary

Details

Two extended examples multiple regression in CCAW are discussed in Chapter 3.

These are nice examples of the use of the link{psych::lmCor} and link{psych::partial.r} functions.

Note that example data set in Table 3.2.1 (p 67) is just the first 15 cases of the complete data set used in Table 3.5.1 (page 81) and included in this data set.

Source

CD accompanying Cohen, Cohen, Aiken and West (2003) (used with the kind permission of Leona Aiken and Steven West)

References

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates Publishers.

Examples

data(salary)
psych::describe(salary)
psych::pairs.panels(salary)
#the standardized coefficients
psych::lmCor(salary ~ time + publications, data=salary)
#or the raw coefficients
mod <- psych::lmCor(salary ~ time + publications, data=salary, std=FALSE)
mod 
#show the part correlations 
psych::partial.r(salary ~ time - publications, data=salary, part=TRUE)
psych::partial.r(salary ~ -time + publications, data=salary, part=TRUE)
#show the predicted salaries based upon the model 
mod <- psych::lmCor(salary ~ time + publications+ citations + female,
      data=salary, std=FALSE)
predicted.salary <- psych::predict.psych(mod,salary)
head(predicted.salary)#compare to CCAW p 81
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psychTools documentation built on May 29, 2024, 9:47 a.m.