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titledescriptionidentifiervalueTemplatevalidValuesdefaultexamplesparententityReffieldRefownerlistcollapsingrepeatingrecurringrecursingidentifying
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Study identifierUnique identifier for this studystudyIdxdoi
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General commentsAny general comments the coder wants to add about this studycommentsstring
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Year of collectionYear (or years) the data were collectedyear.collectedinteger.length4.multi
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Year of publicationYear article was publishedyear.publishedinteger.length4
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Name of author(s)Name(s) of authorsname.authorstring.mandatory
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CountryCountry (or countries) where the data were collectedcountrycountrycode
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MethodsDescription of the methods used by the studymethods
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Sample sizeTotal number of human participants in the study (note: the actual sample size may be larger if multiple observations are collected per participant)Nintegermethods
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Sampling strategyThe strategy used by the researchers to collect their sample. Ameliorated self-selection is when participants were approached, rather than relying on their clicking a link.samplingStrategycategorical"Purposefully select" || "Aselect" || "Likely self-selected" || "Ameliorated self-selection"methods
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SettingWhether the study concerns hearing protection behavior in leisure time setting, work setting, both, or not specifiedsettingcategorical"leisure" || "work" || "both" || "not specified"methods
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Description of study sampleDescription of study sample samplestring.mandatorymethods
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Type of studyWhether the study was qualitative, quantitative, mixed methods, or a reviewmethodTypecategorical"qualitative" || "quantitative" || "mixed methods" || "review"methods
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SubsampleIf studies contain several samples, specify them heresubsamplemethodsTRUETRUE
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NameA unique name (in this study), to be able to refer to this subsample later, and to easily find it afterwardssubsample.nameidentifiersubsample
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SizeSample size of subsamplesubsample.Nintegersubsample
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VariablesThe variables as used/observed in this study (i.e. operationalisations or aspects)variablesmethods
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OperationalisationAn operationalisation (measurement or manipulation) used in the studyoperationalisationvariablesTRUETRUE
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Operationalisation NameA unique name (in this study), to be able to refer to this operationalisation later, and to easily find it afterwardsoper.nameidentifieroperationalisation
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MeasureMethod of measurementoper.measureTypecategorical"Self-report questionnaire (digital or paper)" ||
"Interview (structured, semi-structured, or open)" ||
"Observation" || "Indirect measure (e.g. Implicit Association Test)" || "Other"
operationalisation
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Measure NameName of instrument used, name of developer & year developed (e.g. Social Comparison Scale, Allan & Gilbert, 1995)oper.measureNamestringoperationalisation
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Identifier of the constructA unique identifier of this construct. This is either the UCID of the construct, if this is a determinant or proxy; or an identifier from the list provided in the 'variable identifiers' list in the extraction instructions - see https://extending-the-earcheck.gitlab.io/dct-files
oper.constructIdentifier
ucidoperationalisation
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Hearing protection behaviorWhen construct is a (proxy of) hearing protection behavior, specify what kind of behavior: not specified ("ns"), wearing hearing protection ("hp"), restricting exposure to loud music or noise ("restr") , limiting volume of music players or speakers ("limit"), using safe headphones ("safe"), a combination of at least two of the aformentioned behaviors ("multiple"), or other ("other"). oper.constructHearcategorical"ns" || "hp" || "restr" || "limit" || "safe" || "multiple" || "other"operationalisation
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MomentMoment(s) this variable was measured/manipulated. For cross-sectional studies, this can be omitted (i.e. NA), and will be set to '0' automatically. For longitudinal designs, the first measurement moment is always 0.oper.momentinteger.multi0operationalisation
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Type of operationalisationWhether this variable is a single measurement, or an aggregate (or a manipulation, but we will not extract those).oper.typecategorical"manipulation" || "item" || "aggregate"operationalisation
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Type of data"Measurement level" of this operationalisation.oper.datatypecategorical"numeric" || "logical" || "nominal" || "ordinal" || "string"operationalisation
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ValuesPossible values this variable can take: only valid for "nominal" or "ordinal" variables.oper.valuesinteger.multioperationalisation
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LabelsLabels for the values.oper.labelsstring.multioperationalisation
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Validity VerifiedThe authors expliticly make a statement that they verified the validity of this operationalisation as it was applied in this sample. Note that only statements containing "valid" or "validity" can qualify as such.oper.valid.verifiedyesNoUnclearoperationalisation
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Validity Criteria JustifiedThe authors expliticly explain why the indicators they looked at to verify the validity of this operationalisation are adequate to that end. Note that only statements containing "valid" or "validity" can qualify as such.oper.valid.justifedyesNoUnclearoperationalisation
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Validity EstablishedThe authors explicitly state that this operationalisation was valid as it was applied in this sample. Note that only statements containing "valid" or "validity" can qualify as such.oper.valid.establishedyesNoUnclearoperationalisation
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Reliability VerifiedThe authors expliticly make a statement that they verified the reliability of this operationalisation as it was applied in this sample. Note that only statements containing "reliable" or "reliability" can qualify as such.oper.reliable.verifiedyesNoUnclearoperationalisation
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Reliability Criteria JustifiedThe authors expliticly explain why the indicators they looked at to verify the reliability of this operationalisation are adequate to that end. Note that only statements containing "reliable" or "reliability" can qualify as such, unless the authors explicitly justify why internal consistency, in the case of this measurement instrument in this sample, is indicative for reliability.oper.reliable.justifedyesNoUnclearoperationalisation
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Reliability EstablishedThe authors explicitly state that this operationalisation was reliable as it was applied in this sample. Note that only statements containing "reliable" or "reliability" can qualify as such.
oper.reliable.established
yesNoUnclearoperationalisation
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DescriptionA description of this variable (can be more extensive than the name)oper.descriptionstringoperationalisation
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CommentAny relevant comments the coder wants to addoper.commentstringoperationalisation
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AspectAn aspect (part of human psychology) reported in this studyaspectvariablesTRUETRUE
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Aspect nameA unique name (in this study), to easily find / meta-analyse / group this aspect lateraspect.nameidentifier"barrier_comfort" || "cue_tinnitus"aspect
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Identifier of the constructA unique identifier of this construct. This is either the UCID of the construct, if this is a determinant or proxy; or an identifier from the list provided in the 'variable identifiers' list in the extraction instructions - see https://extending-the-earcheck.gitlab.io/dct-files
aspect.constructIdentifier
ucidaspect
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Hearing protection behaviorWhen construct is a (proxy of) hearing protection behavior, specify what kind of behavior: not specified ("ns"), wearing hearing protection ("hp"), restricting exposure to loud music or noise ("restr") , limiting volume of music players or speakers ("limit"), using safe headphones ("safe"), a combination of at least two of the aformentioned behaviors ("multiple"), or other ("other"). aspect.constructHearcategorical"ns" || "hp" || "restr" || "limit" || "safe" || "multiple" || "other"aspect
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ContentThe content of the aspect, literally as reported in the studyasp.contentstring.mandatory"Aspect text"aspect
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DescriptionA description of this variable (can be more extensive than the name)asp.descriptionstring""aspect
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CommentAny relevant comments the coder wants to addasp.commentstring""aspect
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ResultsResults based on the data collected in this studyresults
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UnivariateA single statistic about a single variable.univariateresultsTRUETRUE
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Name of resultA unique name (in this study), to easily find / meta-analyse / group this result lateruni.nameidentifier"prevalence" || "reliability"univariate
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VariableThe variable this result pertains to.uni.variablestring.entityRef.mandatoryunivariateoper.name
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SubsampleIf applicable, the subsample this result pertains to.uni.subsamplestring.entityRef.optionalunivariatesubsample.name
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ValueIf applicable, the value this result pertains to. For example, for a categorical variable, three percentages can be specified: one for each possible category (as identified by the corresponding value).uni.valueinteger.fieldRef.optionalunivariateoper.values
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MomentIf applicable, the measurement moment this result pertains to. For example, for a longitudinal study, this can be '2' to specify that this is the value of this variable at the second measurement moment.uni.momentinteger.fieldRef.optionalunivariateoper.moment
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Categorical variable valueIf applicable, the value for a categorical variable (for example, for specifying the experimental condition for a subsample).uni.categoryintegerunivariate
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Minimum valueIf applicable, the minimum value in the data series of this variable.uni.minimumnumericunivariate
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Maximum valueIf applicable, the maximum value in the data series of this variable.uni.maximumnumericunivariate
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Median valueIf applicable, the median of this variable.uni.mediannumericunivariate
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Mean valueIf applicable, the mean of this variable.uni.meannumericunivariate
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PercentageIf applicable, the percentage of observations in this category (for a categorical variable) or scoring TRUE (for a logical variable).uni.percentagenumericunivariate
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Sample sizeThis can be used to specify the sample size, if it is different from the sample size of the entire sample or the relevant subsample.uni.nintegerunivariate
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Standard deviationIf applicable, the standard deviation of this variable.uni.sdnumericunivariate
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QualitativeIf applicable, the original text as extracted from the source material.uni.qualitativestringunivariate
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CommentAny relevant comments the coder wants to adduni.commentstringunivariate
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AssociationAn association between two variables.associationresultsTRUETRUE
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Name of resultA unique name (in this study), to easily find / meta-analyse / group this result laterassoc.nameidentifier"mainHypothesisTest" || "manipulationCheck"association
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First variableThe name of the first variable.assoc.var1namestring.entityRef.mandatoryassociationoper.name
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Values of first variableValues this variable pertains to (e.g. in post hoc analyses).assoc.var1valuesinteger.fieldRef.optionalassociationoper.values
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Measurement moment of first variableTo which measurement moment of the first variable this association pertains.assoc.var1momentstring.fieldRef.optionalassociationoper.moment
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Second variableThe name of the second variable.assoc.var2namestring.entityRef.mandatoryassociationoper.name
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Values of second variableValues this variable pertains to (e.g. in post hoc analyses).assoc.var2valuesinteger.fieldRef.optionalassociationoper.values
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Measurement moment of second variableTo which measurement moment of the second variable this association pertains.assoc.var2momentstring.fieldRef.optionalassociationoper.moment
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SubsampleIf applicable, the subsample this result pertains to.assoc.subsamplestring.entityRef.optionalassociationsubsample.name
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Sample sizeThis can be used to specify the sample size, if it is different from the sample size of the entire sample or the relevant subsample.assoc.nintegerassociation
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Degrees of freedomThis can be used to specify the degrees of freedom for this analysis, in case for example a t or an F value is extracted.assoc.dfnumeric.multiassociation
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t valueThe t value of this association.assoc.tnumericassociation
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F valueThe F value of this associationassoc.Fnumericassociation
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Pearson rThe bivariate correlation of this associationassoc.rnumericassociation
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Chi squareThe chi squared value of this associationassoc.chisqnumericassociation
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Raw tableA table with the frequenciesassoc.crosstabmatrix.crosstabassociation
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Cohen's dThe Cohen's d value of this associationassoc.dnumericassociation
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Eta squaredThe eta squared value of this associationassoc.etasqnumericassociation
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Omega squaredThe omega squared value of this associationassoc.omegasqnumericassociation
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Odds RatioThe odds ratio of this associationassoc.ORnumericassociation
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p valueThe association's p value (only extract if nothing else is available)assoc.pnumericassociation
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CovariatesNumber of covariates (for multivariate analyses).assoc.covariatesintegerassociation
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CommentAny relevant comments the coder wants to addassoc.commentstringassociation
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