Calculates the start item from age for an adaptive test to measure D-score.
Source:R/dcat_start.R
dcat_start.RdCalculates the start item from age for an adaptive test to measure D-score.
Usage
dcat_start(
txt = "",
instrument = "gs1",
key = NULL,
population = NULL,
p = 50,
session = "",
format = "3.1",
...
)Arguments
- txt
A JSON string, URL or file
- instrument
character vector with instrument names to use to select items
- key
String. They key identifies 1) the difficulty estimates pertaining to a particular Rasch model, and 2) the prior mean and standard deviation of the prior distribution for calculating the D-score. The default key
NULLsetskey = "gsed2510". Viewdscore::builtin_keysfor an overview of the available keys.- population
String. Name of the reference population
- p
percentage to pass the item, difficulty in percentile units
- session
Optional session key if data is already uploaded to
sitehost.- format
String. JSON data schema version number. There are currently three schemas supported:
"1.0","1.1","2.0","3.0"and"3.1". Formats"1.0"and"1.1"are included for backward compatibility only. Useformat = "3.1"for new applications.- ...
Ignored
Examples
fn <- system.file("examples", "example_v3.1.json", package = "bdsreader")
dcat_start(txt = fn, p = 50)
#> item
#> gs1lgc136 gs1lgc136
#> label
#> gs1lgc136 SF136 Can your child talk about things that will happen in the future using correct language (e.g., "Tomorrow he will attend school" or "Next week we will go to the market")?
#> tau
#> gs1lgc136 74.65