Harmonization summary
0 label-stable codes
- Label changes detected
- 1
- Multiple dataset contexts
- 0
- Unique codes
- 1
- Enriched codes in this report
- 0
Praxis Data Lab · Variable History
Variable history and harmonization report.
Review variable definitions, cycle chronology, survey design, laboratory methods, method-change boundaries, detection limits, and evidence-backed harmonization actions.
1matching variable codes
4 release records across 4 datasets and 4 cycles.
Search scope
Results for “AUQ350”
Scientific safeguard
Qualified assessment is authoritative; chronology remains supporting evidence.
Praxis separates source-stated method or instrument changes from automated differences in CDC/NCHS method text. The qualified harmonization assessment below is the researcher-facing conclusion; method chronology explains the underlying evidence and does not override that adjudication.
Variable-by-variable chronology
Qualified harmonization assessment and indexed evidence
Each variable first shows the current qualified assessment used by Study Builder, followed by cycle-specific source evidence and method chronology.
AUQ350Compatible with harmonization
In {your/SP's} work {were you/was he/was she} exposed to very loud noise? Very loud noise is noise that is so loud {you have/he has/she has} to shout in order to be understood by someone standing 3 feet away from {you/him/her}.
- Observed years
- 2011–2020
- Release records
- 4
- Datasets
- 4
- Components
- Questionnaire
Qualified Praxis harmonization assessment
Compatible with harmonization · moderate confidence
No blocking method discontinuity is identified inside the selected cycle span, but one or more longitudinal changes require explicit harmonization conditions before pooling.
Evidence provenance: Praxis automated inference from indexed CDC/NCHS evidence
Relevant boundaries: 2011-2012 → 2015-2016 · 2015-2016 → 2017-2018 · 2017-2018 → 2017-2020
Praxis harmonization actions
- Confirm that the construct and coding are unchanged before pooling or recoding.
- Verify merge grain, companion variables, and component-specific analytic guidance for the new file context.
- Apply cycle-specific eligibility rules and restrict the pooled analytic population to a defensible common target population.
Supporting CDC/NCHS evidence
Variable names / labels over time
- In {your/SP's} work {were you/was he/was she} exposed to very loud noise? Very loud noise is noise that is so loud {you have/he has/she has} to shout in order to be understood by someone standing 3 feet away from {you/him/her}. — 2011-2012
- In {your/SP's} work {were you/was he/was she} exposed to very loud noise? (Very loud noise is noise that is so loud {you have/he has/she has} to shout in order to be understood by someone standing 3 feet away from {you/him/her}.) — 2015-2016 · 2017-2018 · 2017-2020
Cycle-by-cycle release history
- 2011-2012: AUQ_G — In {your/SP's} work {were you/was he/was she} exposed to very loud noise? Very loud noise is noise that is so loud {you have/he has/she has} to shout in order to be understood by someone standing 3 feet away from {you/him/her}. — Audiometry (Questionnaire)
- 2015-2016: AUQ_I — In {your/SP's} work {were you/was he/was she} exposed to very loud noise? (Very loud noise is noise that is so loud {you have/he has/she has} to shout in order to be understood by someone standing 3 feet away from {you/him/her}.) — Audiometry (Questionnaire)
- 2017-2018: AUQ_J — In {your/SP's} work {were you/was he/was she} exposed to very loud noise? (Very loud noise is noise that is so loud {you have/he has/she has} to shout in order to be understood by someone standing 3 feet away from {you/him/her}.) — Audiometry (Questionnaire)
- 2017-2020: P_AUQ — In {your/SP's} work {were you/was he/was she} exposed to very loud noise? (Very loud noise is noise that is so loud {you have/he has/she has} to shout in order to be understood by someone standing 3 feet away from {you/him/her}.) — Audiometry (Questionnaire)