LTU_2021_FIES_v01_M_v01_A_OCS
Food Insecurity Experience Scale 2021
Name | Country code |
---|---|
Lithuania | LTU |
Socio-Economic/Monitoring Survey [hh/sems]
Sample survey data [ssd]
Individuals
This dataset contains demographic variables related to number of adults and children in the household, age, education, area (urban/rural), gender, and income. Also, the FIES survey module includes the following questions to compute the FIES-based indicators.
During the last 12 months, was there a time when, because of lack of money or other resources:
Topic |
---|
SDGs |
Food Access |
National coverage
Individuals of 15 years or older with access to landline and/or mobile phones.
Name | Affiliation |
---|---|
FAO Statistics Division | FAO |
A dual frame (landline and mobile phone frames) was used to complete 1,007 telephone surveys. About 85% of the completes were from the mobile phone sample whereas landline completes accounted for the remaining 15%.
Exclusions: NA
Design effect: 1.6
The sample data was weighted to minimize bias in survey-based estimates. The weighting procedure was formulated based on the sample design and was carried out in multiple stages. A probability weight factor (base weight) was constructed to account for selection of telephone numbers from the respective frames and correct for unequal selection probabilities as a result of selecting one adult in landline households and for dual-users coming from both the landline and mobile frame. At the next step, the base weights were post-stratified to adjust for non-response and to match the weighted sample totals to known target population totals obtained from country level census data.
Start | End |
---|---|
2021-09-02 | 2021-10-19 |
Last 12 months.
Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.
The margin of error is estimated as 3.9. This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
---|---|
yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | URL | |
---|---|---|---|
FAO Statistics Division | FAO | Carlo.Cafiero@fao.org | http://www.fao.org/in-action/voices-of-the-hungry/fies/en/ |
DDI_LTU_2021_FIES_v01_M_v01_A_OCS
Name | Affiliation | Role |
---|---|---|
Office of Chief Statistician | Food and Agriculture Organization | Metadata producer |
Development Economics Data Group | The World Bank | Metadata adapted for World Bank Microdata Library |
2023-01-17
Version 01 (January 2023): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (LTU_2021_FIES_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID.
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