tia_tables: Simple test-item analysis

In dexter: Data Management and Analysis of Tests

Simple test-item analysis

Description

Show simple Classical Test Analysis statistics at item and test level

Usage

tia_tables(
  dataSrc,
  predicate = NULL,
  type = c("raw", "averaged", "compared"),
  max_scores = c("observed", "theoretical"),
  distractor = FALSE
)

Arguments

dataSrc	a connection to a dexter database, a matrix, or a data.frame with columns: person_id, item_id, item_score
predicate	An optional expression to subset data, if NULL all data is used
type	How to present the item level statistics: raw for each test booklet separately, averaged booklets are ignored, with the exception of rit and rir which are averaged over the test booklets, with the number of persons as weights, or compared, in which case the pvalues, correlations with the sum score (rit), and correlations with the rest score (rit) are shown in separate tables and compared across booklets
max_scores	use the observed maximum item score or the theoretical maximum item score according to the scoring rules in the database to determine pvalues and maximum scores
distractor	add a tia for distractors, only useful for selected response (MC) items

Value

A list containing:

booklets	a data.frame of statistics at booklet level
items	a data.frame (or list if type='compared') of statistics at item level
distractors	a data.frame of statistics at the response level (if distractor==TRUE), i.e. rvalue (pvalue for response) and rar (rest-alternative correlation)

dexter documentation built on Sept. 11, 2024, 6:42 p.m.