estimate_wj: Estimate Woodcock-Johnson Letter-Word ID scores from ROAR-LDT...

Description Usage Arguments Value

View source: R/estimate_wj.R

Description

Estimates a variety of scores from ROAR-LDT responses. Function will only consider item responses with precalibrated item parameters, but will handle missing item responses gracefully. Models to estimate WJ scores depend on the age of the respondent. If a 'visit_age' is not supplied for an individual, their WJ columns will be populated with NA. Additionally, since all respondents perform near ceiling and age is factored into the WJ standard score, estimation is poorly behaved for older respondents.

Usage

1

Arguments

d

A dataframe with one row per respondent. Stimulii should be the names of columns. To estimate WJ scores, must also include a 'visit_age' column where age is measured in months (can be continuously valued).

Value

A dataframe with columns for subject code, IRT-estimated ROAR-LDT ability score, estimated WJ-LWID scores (raw and standard), and estimated WJ-LWID percentile.


klintkanopka/roarscore documentation built on Dec. 21, 2021, 7:38 a.m.