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Outputs a dataframe of person locations and measurement error (SEM) for each person

Usage

RIestThetas(data, model = "PCM", method = "WLE")

Arguments

model

Rasch model to use ("RM" for dichotomous data)

method

Estimation method (defaults to "WLE")

dfin

Dataframe with response data only (no demographics etc), items as columns

theta_range

Range of theta (person location) values

Details

IMPORTANT: only use with complete response data. If you have missing responses, RIestThetasOLD() or RIestThetasOLD2() are recommended instead.

Uses iarm::person_estimates() to estimate person locations (thetas) for a dataframe with item data as columns and persons as rows.

Defaults to use WLE estimation (lower bias than MLE, see Warm, 1989) and PCM.

Note: If you want to use a pre-specified set of item parameters, please use RIestThetasOLD() or RIestThetasOLD2().