Learn R Programming

cNORM (version 2.0.1)

ppvt: Vocabulary development from 4 to 16

Description

A dataset based on an unstratified sample of PPVT4 data (German adaption). The PPVT4 consists of blocks of items with 12 items each. Each item consists of 4 pictures. The test taker is given a word orally and he or she has to point out the picture matching the oral word. Bottom and ceiling blocks of items are determined according to age and performance. For instance, when a student knows less than 4 word from a block of 12 items, the testing stops. The sample is not identical with the norm sample and includes doublets of cases in order to align the sample size per age group. It is primarily intended for running the cNORM analyses. The cleaned and stratified data is available on request.

Usage

ppvt

Arguments

Format

A data frame with 5600 rows and 4 variables:

age

the chronological age of the child

group

the according age group, e.g. age group 4 consists of children age 3.5 to 4.5

sex

the sex of the test taker, 1=male, 2=female

raw

the raw score of the student, spanning values from 0 to 228

A data frame with 5600 rows and 9 columns

References

Lenhard, A., Lenhard, W., Segerer, R. & Suggate, S. (2015). Peabody Picture Vocabulary Test - Revision IV (Deutsche Adaption). Frankfurt a. M./Germany: Pearson Assessment.

Examples

Run this code
# NOT RUN {
# Example with continuous age variable
data.ppvt <- rankBySlidingWindow(ppvt, age="age", width=1.5)
data.ppvt <- computePowers(data.ppvt, age="age")
model.ppvt <- bestModel(data.ppvt, R2 = .994)

# plot information function
plotSubset(model.ppvt, type=2)

# check model consistency
checkConsistency(model.ppvt)

# plot percentiles
plotPercentiles(data.ppvt, model.ppvt)
# }

Run the code above in your browser using DataLab