tia_tables function

Simple test-item analysis

Show simple Classical Test Analysis statistics at item and test level

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

Returns

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)