| Title: | Plotting and Average Theta Functions for Multiple Class Mixed Rasch Models |
|---|---|
| Description: | Provides supplemental functions for the 'mixRasch' package (Willse, 2014), <https://cran.r-project.org/package=mixRasch/mixRasch.pdf> including a plotting function to compare item parameters for multiple class models and a function that provides average theta values for each class in a mixture model. |
| Authors: | Pamela Trantham [aut, cre] |
| Maintainer: | Pamela Trantham <[email protected]> |
| License: | GPL |
| Version: | 1.1.1 |
| Built: | 2025-03-03 04:33:07 UTC |
| Source: | https://github.com/cran/mixRaschTools |
This function produces mean ability levels for each class in a mixture Rasch model.
avg.theta(x)avg.theta(x)
x |
A fitted multiple class mixture Rasch model |
mixRaschTools Average Theta ———————————————————–
This function produces a matrix containing the average theta values for each latent class included in mixture Rasch model.
Pamela S Trantham
Willse, J. T. (2011). Mixture Rasch models with joint maximum likelihood estimation. Educational and Psychological Measurement, 71, 5-19, https://doi.org/10.1177/0013164410387335
##Example multiple class mixture Rasch models included with mixRaschToolkit data(threeclass_ex) ##Average Theta Values avg.theta(threeclass_ex)##Example multiple class mixture Rasch models included with mixRaschToolkit data(threeclass_ex) ##Average Theta Values avg.theta(threeclass_ex)
Object containing model information for a four class model.
fourclass_exfourclass_ex
This four class mixed Rasch model was created with the use of the mixRasch program (Willse, 2014) using a subset of the 2012 PISA US math achievement data (OECD, 2012). This model was created using the "Math Self Efficacy" scale included in the in the contextual assessment included in that year. The dataset used for the models was created using students from the United States who had completed all math questions contained in the PM7A booklet. The final dataset contained 12 dichotomously scored math achievement items creating a sample of 1229 students. These models contain the following parameters: "fourclass_ex" contains the ability estimates, item parameters, and standard errors for a four class Rasch model fitted using the mixRasch program. "threeclass_ex" contains the ability estimates, item parameters, and standard errors for a three class Rasch model fitted using the mixRasch program.
http://www.oecd.org/pisa/pisaproducts/pisa2012database-downloadabledata.htm
Organisation for Economic Co-operation and Development., & Programme for International Student Assessment. (2012a). Paris: OECD. Willse, J. T. (2014). Package mixRasch. R package version 1.1.
This function produces a plot of item parameters by latent class for Rasch calibrated mixture models.
mixRasch.plot(x, xlab, ylab)mixRasch.plot(x, xlab, ylab)
x |
A fitted multiple class mixture Rasch model |
xlab |
user defined label for x axis |
ylab |
user defined label for y axis |
mixRaschTools Functions ———————————————————–
This function provides an item parameter plot that can be used to compare the different item parameters in mixture Rasch models that contain two or more latent classes.
Pamela S Trantham
##Example multiple class mixture Rasch models included with mixRaschTools data(threeclass_ex) ##Item Parameter Plot mixRasch.plot(threeclass_ex)##Example multiple class mixture Rasch models included with mixRaschTools data(threeclass_ex) ##Item Parameter Plot mixRasch.plot(threeclass_ex)
Object containing model information for a three class model.
threeclass_exthreeclass_ex
This three class mixed Rasch model was created with the use of the mixRasch program (Willse, 2014) using a subset of the 2012 PISA US math achievement data (OECD, 2012). This model was created using the "Math Self Efficacy" scale included in the in the contextual assessment included in that year. The dataset used for the models was created using students from the United States who had completed all math questions contained in the PM7A booklet. The final dataset contained 12 dichotomously scored math achievement items creating a sample of 1229 students. These models contain the following parameters: "fourclass_ex" contains the ability estimates, item parameters, and standard errors for a four class Rasch model fitted using the mixRasch program. "threeclass_ex" contains the ability estimates, item parameters, and standard errors for a three class Rasch model fitted using the mixRasch program.
http://www.oecd.org/pisa/pisaproducts/pisa2012database-downloadabledata.htm
Organisation for Economic Co-operation and Development., & Programme for International Student Assessment. (2012a). Paris: OECD. Willse, J. T. (2014). Package mixRasch. R package version 1.1. Willse, J. T. (2011). Mixture Rasch models with joint maximum likelihood estimation. Educational and Psychological Measurement, 71, 5-19.https://doi.org/10.1177/0013164410387335