This work is licensed under a Creative Commons Attribution-ShareAlike 3.Describes the time dimension of the data collection.
| Value of the Code | Descriptive Term of the Code | Definition of the Code |
|---|---|---|
| Longitudinal | Longitudinal | Data collected repeatedly over time to allow studying change in a population. At least some of the questions or modules are repeated over waves. Use the broad term when none of the subterms is suitable. |
| Longitudinal.CohortEventBased | Longitudinal: Cohort/Event-based | Data collected over time from the same cohort of respondents. The individuals in the cohort are connected in some way or have shared some significant experience within a given period. In some cases, the samples may differ between waves but are drawn from the same cohort. Examples: birth year, disease (clinical trials), common problem (intervention studies), education, employment, family formation, participation in an event. |
| Longitudinal.TrendRepeatedCrossSection | Longitudinal: Trend/Repeated cross-section | Data collected from different samples or different groups of people from the same population at several points in time, using at least partly the same set of questions/variables. Conclusions are drawn for the population. Examples: European Social Survey (ESS), national longitudinal crime surveys. |
| Longitudinal.Panel | Longitudinal: Panel | Data collected over time from, or about, the same sample of respondents. Differs from cohort/event-based data in that the selection of respondents is not based on their being connected in some way or having shared some significant experience. |
| Longitudinal.Panel.Continuous | Longitudinal: Panel: Continuous | Data collected from a panel of respondents on a regular basis. |
| Longitudinal.Panel.Interval | Longitudinal: Panel: Interval | Data collected from a panel of respondents only when information is needed. |
| TimeSeries | Time series | Data collected repeatedly over time to study change in observations. These are typically "objective" measurements of phenomena that can be observed externally, as opposed to attitudes/opinions or feelings. Examples may include economic/financial indicators, natural/meteorological phenomena, vital statistics, etc. |
| TimeSeries.Continuous | Time series: Continuous | Measurements are taken at every instant in time. Examples: lie detectors, electrocardiograms, etc. |
| TimeSeries.Discrete | Time series: Discrete | Measurements are taken at (usually regularly) spaced intervals. Examples: macroeconomics (weekly share prices, monthly profits, sales); meteorology (hourly temperature); measurements of individuals (blood pressure, weight, height); sociology (crime figures, employment figures), etc. |
| CrossSection | Cross-section | Data collected by observing subjects within the study period, without regard to changes over time. May include more than one collection event. Analysis of cross-sectional data often consists in comparing the differences and similarities among subjects. |
| CrossSectionAdHocFollowUp | Cross-section ad-hoc follow-up | Data collected at one point in time to complete information collected in a previous cross-sectional study; the decision to collect follow-up data was not included in the original study design. |
| Other | Other | Use if the time method is known, but not found in the list. |
A brief textual description or classification of the type of the time methodology used. Supports the use of an external controlled vocabulary.
| Module Name | Element Name |
|---|---|
| datacollection | TypeOfTimeMethod |
The time method or time dimension of the data collection. The "method" attribute is included to permit the development of a controlled vocabulary for this element. For forward-compatibility, DDI 3 XHTML tags may be used in this element.
| Element Number in DDI 2.1 | Element/Attribute Name |
|---|---|
| 2.3.1.1 | timeMeth@method |
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