relative.importance {DECIDE} R Documentation

## Relative importance of primary and secondary effects

### Description

Calculates various estimates for measures of educational differentials, the relative importance of primary and secondary effects and corresponding standard errors and confidence intervals.

### Usage

relative.importance(dataset)


### Arguments

 dataset A data frame with 4 columns only, in the following order: 1: student's ID, 2: class, 3: transition (0 if not, 1 if yes) and 4: performance score.

### Value

 sample_size Total number of individuals no_classes Number of classes class_size A list of no_classes elements, each element containing the size of each class percentage_overall Overall percentage that made the transition percentage_class A list of no_classes elements, each element containing percentage that made the transition for each class fifty_point 50% point of transition parameters A data frame with the parameters of logistic regression (\alpha, \beta) and normal distribution (\mu, \sigma) for each class transition_prob A data frame with the transition probabilities log_odds A data frame with log odds of transition (diagonal elements: actual log odds for each class, off-diagonal: counterfactual log odds) se_logodds A data frame with the standard errors of the log odds of transition ci_logodds Approximate 95% confidence intervals for the log odds of transition odds Odds of transition log_oddsratios Log odds ratios se_logoddsratios Standard errors for the log odds ratios ci_logoddsratios Approximate 95% confidence intervals for the log odds ratios oddsratios Odds ratios rel_imp_prim1 Estimates of the relative importance of primary effects using the first equation for calculating the relative importance rel_imp_prim2 Estimates of the relative importance of primary effects using the second equation for calculating the relative importance rel_imp_prim_avg Estimates of the relative importance of primary effects using the the average of the two equations for calculating the relative importance rel_imp_sec1 Estimates of the relative importance of secondary effects using the first equation for calculating the relative importance rel_imp_sec2 Estimates of the relative importance of secondary effects using the second equation for calculating the relative importance rel_imp_sec_avg Estimates of the relative importance of secondary effects using the the average of the two equations for calculating the relative importance se.ri.1 Standard errors of the relative importance estimates given by the first equation ci.ri.1 Approximate 95% confidence intervals for the relative importance of secondary effects given by the first equation se.ri.2 Standard errors of the relative importance estimates given by the second equation ci.ri.2 Approximate 95% confidence intervals for the relative importance of secondary effects given by the second equation se.ri.avg Standard errors of the relative importance estimates given by the average of the two equations ci.ri.avg Approximate 95% confidence intervals for the relative importance of secondary effects given by the average of the two equations

### Author(s)

Christiana Kartsonaki

### References

Kartsonaki, C., Jackson, M. and Cox, D. R. (2013). Primary and secondary effects: Some methodological issues, in Jackson, M. (ed.) Determined to succeed?, Stanford: Stanford University Press.

Erikson, R., Goldthorpe, J. H., Jackson, M., Yaish, M. and Cox, D. R. (2005) On Class Differentials in Educational Attainment. Proceedings of the National Academy of Sciences, 102: 9730–9733

Jackson, M., Erikson, R., Goldthorpe, J. H. and Yaish, M. (2007) Primary and secondary effects in class differentials in educational attainment: The transition to A-level courses in England and Wales. Acta Sociologica, 50 (3): 211–229

### See Also

print_relimp, plot_transition

### Examples

# generate a dataset
set.seed(1)
data <- data.frame(seq(1:10), rep(c(1, 2), length.out = 10),
c(rep(0, times = 3), rep(1, times = 7)),
c(rnorm(4, 0, 1), rnorm(4, 0.5, 1), NA, NA))

# run function
relative.importance(data)


[Package DECIDE version 1.3 Index]