inputList: Data Frames with Code, Subunit and Unit Information for...

In eatPrep: Prepare Data for IRT Analyses

Description

These data frames contain information about codes, subunits and units for the datasets in inputDat and are necessary inputs for e.g. automateDataPreparation, checkData, recodeData, aggregateData and scoreData.

Usage

data(inputList)

Format

A list with three data frames:

1. units: Unit information, contains the following columns:

   unit

   Unit name.

   unitType

   Subunit types: ID = ID variable; TI = test item; CV = context variable.

   unitLabel

   Unit label, to be used by writeSpss.

   unitDescription

   Unit description.

   unitAggregateRule

   Aggregate rule for unit: SUM; MEAN.

   unitScoreRule

   not currently in use

2. subunits: Subunit information, contains the following columns:

   unit

   Unit name, for which subunits are given.

   subunit

   Subunit name.

   subunitType

   Subunit types:C1 = multiple choice; C2 = short answer; C3 = constructed response; T = transcript.

   subunitLabel

   Subunit label, to be used by writeSpss.

   subunitDescription

   Subunit descriptions.

   subunitPosition

   Subunit position in test booklet (e.g., line 1).

   subunitTransniveau

   Subunit transformation level.

   subunitRecoded

   Name of recoded subunit.

   subunitLabelRecoded

   Label for recoded subunit, to be used when writeSpss is applied to a dataset produced by recodeData.

3. values: Value information, contains the following columns:

   subunit

   Subunit name, for which values are given.

   value

   Valid values for the respective subunit.

   valueRecode

   Recode values for the respective value.

   valueType

   Value types: vc = valid code; mbd = missing – by design; mvi = missing – volume insufficient; mnr = missing – not reached; mci = missing – coding impossible; mbi = missing – by intention.

   valueLabel

   Value labels, to be used by writeSpss.

   valueDescription

   Value descriptions.

   valueLabelRecoded

   Labels for recoded values, to be used when writeSpss is applied to a dataset produced by recodeData.

   valueDescriptionRecoded

   Descriptions for recoded values.

4. unitRecodings: Unit recoding information, contains the following columns:

   unit

   Unit name

   value

   Valid values for the respective unit.

   valueRecode

   Recode values for the respective value.

   valueType

   Value types: vc = valid code; mbd = missing – by design; mvi = missing – volume insufficient; mnr = missing – not reached; mci = missing – coding impossible; mbi = missing – by intention.

   valueLabel

   Value labels, to be used by writeSpss.

   valueDescription

   Value descriptions.

   valueLabelRecoded

   Labels for recoded values, to be used when writeSpss is applied to a dataset produced by recodeData.

5. savFiles: information for readSpss, contains the following columns:

   filename

   SPSS filenames

   case.id

   ID variable in the respective dataset, used by mergeData

6. newID: information for mergeData, contains the following columns:

   key

   one of the entries should be master-id

   value

   the corresponding value; how the ID variable in the final dataset shall be named

7. aggrMiss: missing aggregation pattern for aggregateData

8. blocks: missing aggregation pattern for aggregateData

   subunit

   Subunit name.

   block

   Block name.

   subunitBlockPosition

   The subunit's position in the corresponding block.

9. booklets: Design

   booklet

   Booklet name.

   block1 ... blockX

   Block names in booklet.

10. rotation: Assignment of IDs to booklets

    ID

    Case identifier.

    booklet

    Booklet name.

Examples

data(inputList)
str(inputList)

eatPrep documentation built on May 2, 2019, 5:20 p.m.