MTurkR (version 0.5.1)

GenerateAnswerKey: Generate AnswerKey Data Structure

Description

Generate an AnswerKey data structure for a Qualification test.

Usage

GenerateAnswerKey(questions, scoring = NULL)
AnswerKeyTemplate(xml.parsed = NULL)

Arguments

questions

A dataframe containing QuestionIdentifiers, AnswerOptions, AnswerScores, and DefaultScores. See MTurk API Documentation.

scoring

An optional list containing QualificationValueMapping information. See MTurk API Documentation.

xml.parsed

A complete QuestionForm data structure parsed by xmlParse. Must specify this or the xml parameter.

Value

• GenerateAnswerKey returns a list containing an AnswerKey data structure as a parsed XML tree, character string containing that tree, and a url-encoded character string. AnswerKeyTemplate returns a list that can be used in the questions parameter of GenerateAnswerKey. Placeholders are left for AnswerScore values to be manually entered prior to using it in GenerateAnswerKey.

Details

GenerateAnswerKey creates an AnswerKey data structure (possibly from a template created by AnswerKeyTemplate from a QuestionForm data structure), which serves to automatically score a Qualification test, as specified in the test parameter of CreateQualificationType. An AnswerKey data structure is also returned by GetQualificationType.

References

http://docs.amazonwebservices.com/AWSMechTurk/latest/AWSMturkAPI/ApiReference_AnswerKeyDataStructureArticle.html{API Reference}

See Also

CreateQualificationType

Examples

qs <- list(list(QuestionIdentifier = "Question1",
                AnswerOption = list(SelectionIdentifier="A", AnswerScore=15),
                AnswerOption = list(SelectionIdentifier="B", AnswerScore=10),
                DefaultScore = 5),
           list(QuestionIdentifier = "Question2",
                AnswerOption = list(SelectionIdentifier="D", AnswerScore=10) ) )

scoring1 <- list(PercentageMapping=5)

scoring2 <- list(RangeMapping=list(list(InclusiveLowerBound=0,
                                        InclusiveUpperBound=20,
                                        QualificationValue=5),
                                   list(InclusiveLowerBound=21,
                                        InclusiveUpperBound=100,
                                        QualificationValue=10)),
                 OutOfRangeQualificationValue=0)

ak1 <- GenerateAnswerKey(qs, scoring1)
ak2 <- GenerateAnswerKey(qs, scoring2)