Normalize extracted ConQuest overlap tables to the mfrmr review contract — normalize_conquest_overlap

Normalize extracted ConQuest overlap tables to the mfrmr review contract

Usage

normalize_conquest_overlap_tables(
  conquest_population,
  conquest_item_estimates,
  conquest_case_eap,
  conquest_population_term = "auto",
  conquest_population_estimate = "auto",
  conquest_item_id = "auto",
  conquest_item_estimate = "auto",
  conquest_case_person = "auto",
  conquest_case_estimate = "auto",
  keep_extra_columns = TRUE
)

Arguments

conquest_population: Extracted ConQuest population-parameter table as a data.frame.
conquest_item_estimates: Extracted ConQuest item-estimate table as a data.frame.
conquest_case_eap: Extracted ConQuest case-level EAP table as a data.frame.
conquest_population_term: Column in conquest_population that stores parameter names. "auto" tries conservative aliases such as Parameter and Term.
conquest_population_estimate: Column in conquest_population that stores parameter estimates. "auto" tries aliases such as Estimate and Est.
conquest_item_id: Column in conquest_item_estimates that stores the item identifier as exported or extracted by the user. "auto" tries aliases such as ResponseVar, ItemID, Item, and Label.
conquest_item_estimate: Column in conquest_item_estimates that stores item estimates. "auto" tries aliases such as Estimate, Est, and Facility.
conquest_case_person: Column in conquest_case_eap that stores person IDs. "auto" tries conservative aliases such as Person, PID, and Sequence ID.
conquest_case_estimate: Column in conquest_case_eap that stores case EAP estimates. "auto" tries conservative aliases such as Estimate, EAP_1, and EAP.
keep_extra_columns: If TRUE, keep all remaining columns after the standardized identifier and estimate columns.

Value

A named list with class mfrm_conquest_overlap_tables.

Details

This helper does not parse raw ConQuest text output. It standardizes already extracted tables to the contract used by review_conquest_overlap():

population parameters become columns Parameter, Estimate, and EstimateNonNumeric;
item estimates become columns ItemID, Estimate, and EstimateNonNumeric;
case summaries become columns Person, Estimate, and EstimateNonNumeric.

The resulting object is intentionally conservative. It does not infer whether item IDs correspond to exported response variables or original item levels; that matching step remains part of review_conquest_overlap(), where the standardized ConQuest tables are compared against a concrete overlap bundle.

Output

The returned object has class mfrm_conquest_overlap_tables and includes:

summary: one-row normalization summary
conquest_population: standardized population table
conquest_item_estimates: standardized item table
conquest_case_eap: standardized case table
settings: source-column metadata
notes: interpretation notes

Read summary(normalized)$normalization_scope before review to confirm that the object contains extracted tabular inputs, not parsed raw ConQuest report text, and to check duplicate-ID / non-numeric-estimate pre-review flags.

Examples

normalized <- normalize_conquest_overlap_tables(
  conquest_population = data.frame(
    Term = c("(Intercept)", "GroupB", "sigma2"),
    Est = c(0, 0.2, 1)
  ),
  conquest_item_estimates = data.frame(
    Item = c("I1", "I2"),
    Est = c(-0.2, 0.2)
  ),
  conquest_case_eap = data.frame(
    PID = c("P001", "P002"),
    EAP = c(-0.1, 0.1)
  ),
  conquest_population_term = "Term",
  conquest_population_estimate = "Est",
  conquest_item_id = "Item",
  conquest_item_estimate = "Est",
  conquest_case_person = "PID",
  conquest_case_estimate = "EAP"
)
summary(normalized)$normalization_scope
#>                            Area             Status
#> 1 Extracted table normalization             active
#> 2     Raw ConQuest text parsing      not performed
#> 3               Bundle matching deferred to review
#> 4        Pre-review table check      none detected
#>                                                             Evidence
#> 1                                              7 standardized row(s)
#> 2            already extracted CSV/TSV/TXT or data.frame inputs only
#> 3 review_conquest_overlap() matches rows against the exported bundle
#> 4                  0 duplicate ID(s); 0 non-numeric estimate cell(s)
#>                                                                               Interpretation
#> 1        Population, item, and case tables have been converted to the mfrmr review contract.
#> 2             This object does not prove that raw ConQuest report text was parsed correctly.
#> 3 Identifier matching and numerical comparison are intentionally handled by the review step.
#> 4        Resolve duplicate IDs or non-numeric estimates before treating the review as clean.

Normalize extracted ConQuest overlap tables to the `mfrmr` review contract