Description Usage Format Details References Examples
Data came from 12 dichtomous items administered to 425 children in grades 2 through 6 (Verweij, Sijtsma, and Koops, 1996). Each item is a transitive reasoning task.
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A 425 by 13 (grade and scores on 12 items) matrix containing integers.
attributes(transreas)
gives details on the items
Items have two ordered answer categories, incorrect (score 0), correct (1). (for detailed information, see Sijtsma and Molenaar, 2002, p. 33).
Item | Task | Property | Format | Objects | Measures |
T09L | 9 | length | YA = YB < YC = YD | sticks | 12.5, 12.5, 13, 13 (cm) |
T12P | 12 | pseudo | |||
T10W | 10 | weight | YA = YB < YC = YD | balls | 60, 60, 100, 100 (g) |
T11P | 11 | pseudo | |||
T04W | 4 | weight | YA = YB = YC = YD | cubes | 65 (g) |
T05W | 5 | weight | YA < YB < YC | balls | 40, 50, 70 (cm) |
T02L | 2 | length | YA = YB = YC = YD | tubes | 12 (cm) |
T07L | 7 | length | YA > YB = YC | sticks | 28.5, 27.5, 27.5 (cm) |
T03W | 3 | weight | YA > YB > YC | tubes | 45, 25, 18 (g) |
T01L | 1 | length | YA > YB > YC | sticks | 12, 11.5, 11 (cm) |
T08W | 8 | weight | YA > YB = YC | balls | 65, 40, 40 (g) |
T06A | 6 | area | YA > YB > YC | discs | 7.5, 7, 6.5 (diameter; cm) |
Verweij, A. C., Sijtsma, K., and Koops, W. (1996). A Mokken scale for transitive reasoning suited for longitudinal research. International Journal of Behavioral Development, 23, 241-264.
Sijtsma, K. and Molenaar, I. W. (2002). Introduction to nonparametric item response theory, Thousand Oaks, CA: Sage.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # Construction of Table 3.1 in Sijtsma and Molenaar (2002, p. 33)
data(transreas)
grades <- transreas[,1]
item.scores <- transreas[,-1]
Total.group <- round(apply(item.scores,2,mean),2)
for (i in 2:6) assign(paste("Grade.",i,sep=""),
round(apply(item.scores[grades==i,],2,mean),2))
Task <- c(9,12,10,11,4,5,2,7,3,1,8,6)
Property <- attributes(transreas)$property
Format <- attributes(transreas)$format
Objects <- attributes(transreas)$objects
Measures <- attributes(transreas)$measures
Table.3.1 <- data.frame(Task,Property,Format,Objects,Measures,
Total.group,Grade.2,Grade.3,Grade.4,Grade.5,Grade.6)
Table.3.1
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