naep: NAEP dataset

In MultiLCIRT: Multidimensional Latent Class Item Response Theory Models

Description

This dataset contains the responses of a sample of 1510 examinees to 12 binary items on Mathematics. It has been extrapolated from a larger dataset collected in 1996 by the Educational Testing Service within the National Assessment of Educational Progress (NAEP) project.

Usage

data(naep)

Format

A data frame with 1510 observations on the following 12 items:

Item1

round to thousand place

Item2

write fraction that represents shaded region

Item3

multiply two negative integers

Item4

reason about sample space (number correct)

Item5

find amount of restaurant tip

Item6

identify representative sample

Item7

read dials on a meter

Item8

find (x, y) solution of linear equation

Item9

translate words to symbols

Item10

find number of diagonals in polygon from a vertex

Item11

find perimeter (quadrilateral)

Item12

reason about betweenness

References

Bartolucci, F. and Forcina, A. (2005), Likelihood inference on the underlying structure of IRT models. Psychometrika, 70, 31-43.

Bartolucci, F. (2007), A class of multidimensional IRT models for testing unidimensionality and clustering items. Psychometrika, 72, 141-157.

Examples

data(naep)
## maybe str(naep)
str(naep)

Example output

Loading required package: MASS
Loading required package: limSolve
'data.frame':	1510 obs. of  12 variables:
 $ Item1 : int  1 0 1 1 0 1 1 1 1 0 ...
 $ Item2 : int  1 1 1 1 0 1 1 0 1 1 ...
 $ Item3 : int  0 1 1 1 0 0 1 1 1 0 ...
 $ Item4 : int  1 1 1 1 1 0 1 1 1 1 ...
 $ Item5 : int  0 1 1 0 0 0 0 1 1 1 ...
 $ Item6 : int  0 0 0 0 1 1 0 1 0 1 ...
 $ Item7 : int  0 0 0 0 1 1 1 1 0 0 ...
 $ Item8 : int  0 0 1 0 0 1 0 1 1 1 ...
 $ Item9 : int  0 1 0 1 0 1 0 1 1 1 ...
 $ Item10: int  1 1 1 1 1 1 1 1 1 1 ...
 $ Item11: int  0 1 0 0 0 0 0 0 0 1 ...
 $ Item12: int  0 0 0 0 0 0 0 0 0 1 ...

MultiLCIRT documentation built on May 2, 2019, 2:38 p.m.