6. Accuracy and reliability |
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6.1. Accuracy - overall |
6.1.1 How good is the accuracy? |
Good |
6.1.2 What are the main factors lowering the accuracy? |
Non-response error |
6.1.3 If Other, please specify |
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6.1.4 Additional comments |
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6.2. Sampling error |
Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.2 of the annexed Excel file |
6.2.1 Name/Title |
Orchard survey by species and varieties in 2017 |
6.2.2 Methods used to assess the sampling error |
Relative standard error |
6.2.3 If Other, please specify |
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6.2.4 Methods used to derive the extrapolation factor |
Basic weight Non-response Wrong classifaction |
6.2.5 If Other, please specify |
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6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas |
We applied formulas for variance estimation of total known from classical theory for stratified random sampling. Method of calculation relative standard errors (CV) has been described in attached Word file. |
6.2.7 Sampling error - indicators |
Please provide the coefficients of variation in %
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CV (%) |
Dessert apple trees |
1,3 |
Apple trees for industrial processing |
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Dessert pear trees |
3,5 |
Pear trees for industrial processing |
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Apricot trees |
10,5 |
Dessert peach and nectarine trees |
11,8 |
Peach and nectarine trees for industrial processing (including group of Pavie) |
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Orange trees |
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Small citrus fruit trees |
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Lemon trees |
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Olive trees |
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Table grape vines |
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6.2.8 Additional comments |
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Annexes: relative standard errors |
6.3. Non-sampling error |
See sections below. |
6.3.1. Coverage error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.1.1 Name/Title |
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Over-coverage
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6.3.1.2 Does the sample frame include wrongly classified units that are out of scope? |
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6.3.1.3 What methods are used to detect the out-of scope units? |
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6.3.1.4 Does the sample frame include units that do not exist in practice? |
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6.3.1.5 Over-coverage - rate |
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6.3.1.6 Impact on the data quality |
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Under-coverage
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6.3.1.7 Does the sample frame include all units falling within the scope of this survey? |
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6.3.1.8 If Not, which units are not included? |
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6.3.1.9 How large do you estimate the proportion of those units? (%) |
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6.3.1.10 Impact on the data quality |
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Misclassification
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6.3.1.11 Impact on the data quality |
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Common units
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6.3.1.12 Common units - proportion |
not applicable |
6.3.1.13 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.1.14 Name/Title |
Orchard survey by species and varieties in 2017 |
Over-coverage
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6.3.1.15 Does the sample frame include wrongly classified units that are out of scope? |
Yes |
6.3.1.16 What methods are used to detect the out-of scope units? |
this is the result from the answer to the initial question from the questionnaire during the survey |
6.3.1.17 Does the sample frame include units that do not exist in practice? |
Yes |
6.3.1.18 Over-coverage - rate |
13,1% |
6.3.1.19 Impact on the data quality |
Moderate |
Under-coverage |
6.3.1.20 Does the sample frame include all units falling within the scope of this survey? |
Yes |
6.3.1.21 If Not, which units are not included? |
not applicable |
6.3.1.22 How large do you estimate the proportion of those units? (%) |
not applicable |
6.3.1.23 Impact on the data quality |
None |
Misclassification
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6.3.1.24 Impact on the data quality |
Low |
Common units |
6.3.1.25 Common units - proportion |
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6.3.1.26 Additional comments |
There were difficulties with contact with some units and some units changed character of their production. |
Administrative data
These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file |
6.3.1.27 Name/Title of the administrative source |
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Over-coverage
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6.3.1.28 Does the administrative source include wrongly classified units that are out of scope? |
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6.3.1.29 What methods are used to detect the out-of scope units? |
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6.3.1.30 Does the administrative source include units that do not exist in practice? |
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6.3.1.31 Over-coverage - rate |
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6.3.1.32 Impact on the data quality |
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Under-coverage
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6.3.1.33 Does the administrative source include all units falling within the scope of this survey? |
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6.3.1.34 If Not, which units are not included? |
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6.3.1.35 How large do you estimate the proportion of those units? (%) |
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6.3.1.36 Impact on the data quality |
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Misclassification |
6.3.1.37 Impact on the data quality |
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6.3.1.38 Additional comments |
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6.3.2. Measurement error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.2.1 Name/Title |
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6.3.2.2 Is the questionnaire based on usual concepts for respondents? |
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6.3.2.3 Number of censuses already performed with the current questionnaire? |
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6.3.2.4 Preparatory testing of the questionnaire? |
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6.3.2.5 Number of units participating in the tests? |
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6.3.2.6 Explanatory notes/handbook for surveyors/respondents? |
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6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents? |
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6.3.2.8 Are there pre-filled questions? |
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6.3.2.9 Percentage of pre-filled questions out of total number of questions |
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6.3.2.10 Other actions taken for reducing the measurement error? |
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6.3.2.11 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.2.12 Name/Title |
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6.3.2.13 Is the questionnaire based on usual concepts for respondents? |
Yes |
6.3.2.14 Number of surveys already performed with the current questionnaire? |
0 |
6.3.2.15 Preparatory testing of the questionnaire? |
Yes |
6.3.2.16 Number of units participating in the tests? |
examples during the training only |
6.3.2.17 Explanatory notes/handbook for surveyors/respondents? |
Yes |
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents? |
No |
6.3.2.19 Are there pre-filled questions? |
No |
6.3.2.20 Percentage of pre-filled questions out of total number of questions |
0 |
6.3.2.21 Other actions taken for reducing the measurement error? |
No |
6.3.2.22 Additional comments |
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6.3.3. Non response error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.3.1 Name/Title of the survey |
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6.3.3.2 Unit non-response - rate |
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6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? |
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6.3.3.4 Measures taken for minimising the unit non-response |
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6.3.3.5 If Other, please specify |
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6.3.3.6 Item non-response rate |
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6.3.3.7 Item non-response rate - Minimum |
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6.3.3.8 Item non-response rate - Maximum |
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6.3.3.9 Which items had a high item non-response rate? |
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6.3.3.10 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.3.11 Name/Title of the survey |
Orchard survey by species and varieties in 2017 |
6.3.3.12 Unit non-response - rate |
24.8% |
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context? |
High |
6.3.3.14 Measures taken for minimising the unit non-response |
Weighting |
6.3.3.15 If Other, please specify |
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6.3.3.16 Item non-response rate |
In general, the completeness of each item was rather good. The electronic application enforced the completion of all required items. |
6.3.3.17 Item non-response rate - Minimum |
Only single cases |
6.3.3.18 Item non-response rate - Maximum |
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6.3.3.19 Which items had a high item non-response rate? |
It concerns every item i.e. whole questionnaire |
6.3.3.20 Additional comments |
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6.3.4. Processing error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.4.1 Name/Title |
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6.3.4.2 Imputation - rate |
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6.3.4.3 Imputation - basis |
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6.3.4.4 If Other, please specify |
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6.3.4.5 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.4.6 Name/Title |
Orchard survey by species and varieties in 2017 |
6.3.4.7 Imputation - rate |
not applicable |
6.3.4.8 Imputation - basis |
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6.3.4.9 If Other, please specify |
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6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation? |
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6.3.4.11 Additionnal comments |
Imputation was not used |
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6.3.5. Model assumption error |
not applicable |
6.4. Seasonal adjustment |
not applicable |
6.5. Data revision - policy |
Data from the survey are made available as final after all validations and corrections, however, in case of any errors, we check and correct the dataset again. After that the corrected data are also disseminated. |
6.6. Data revision - practice |
6.6.1 Data revision - average size |
not applicable |
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report? |
No |
6.6.3 What was the main reason for the revisions? |
not applicable |
6.6.4 How do you evaluate the impact of the revisions? |
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6.6.5 Additional comments |
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