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 Measurement error |
6.1.3 If Other, please specify |
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6.1.4 Additional comments |
It is generally very difficult for the respondents to estimate the area and number of trees of different apple varieties. This results in low response rates and a high risk of measurement error. |
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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 |
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6.2.2 Methods used to assess the sampling error |
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6.2.3 If Other, please specify |
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6.2.4 Methods used to derive the extrapolation factor |
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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 |
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6.2.7 Sampling error - indicators |
Please provide the coefficients of variation in %
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CV (%) |
Dessert apple trees |
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Apple trees for industrial processing |
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Dessert pear trees |
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Pear trees for industrial processing |
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Apricot trees |
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Dessert peach and nectarine trees |
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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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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 |
Fruktträd 2017 (Fruit Trees 2017) |
Over-coverage
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6.3.1.2 Does the sample frame include wrongly classified units that are out of scope? |
No |
6.3.1.3 What methods are used to detect the out-of scope units? |
Units are included in frame based on a recent census of horticultural production. Only active apple cultivators were included. |
6.3.1.4 Does the sample frame include units that do not exist in practice? |
No |
6.3.1.5 Over-coverage - rate |
0% |
6.3.1.6 Impact on the data quality |
None |
Under-coverage
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6.3.1.7 Does the sample frame include all units falling within the scope of this survey? |
Yes |
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 |
None |
Misclassification
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6.3.1.11 Impact on the data quality |
None |
Common units
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6.3.1.12 Common units - proportion |
Not applicable. Only one data source used (the census). |
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 |
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Over-coverage
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6.3.1.15 Does the sample frame include wrongly classified units that are out of scope? |
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6.3.1.16 What methods are used to detect the out-of scope units? |
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6.3.1.17 Does the sample frame include units that do not exist in practice? |
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6.3.1.18 Over-coverage - rate |
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6.3.1.19 Impact on the data quality |
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Under-coverage |
6.3.1.20 Does the sample frame include all units falling within the scope of this survey? |
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6.3.1.21 If Not, which units are not included? |
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6.3.1.22 How large do you estimate the proportion of those units? (%) |
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6.3.1.23 Impact on the data quality |
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Misclassification
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6.3.1.24 Impact on the data quality |
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Common units |
6.3.1.25 Common units - proportion |
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6.3.1.26 Additional comments |
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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 |
Fruktträd 2017 (Fruit Trees 2017) |
6.3.2.2 Is the questionnaire based on usual concepts for respondents? |
Yes |
6.3.2.3 Number of censuses already performed with the current questionnaire? |
1 |
6.3.2.4 Preparatory testing of the questionnaire? |
No |
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? |
No |
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents? |
Yes |
6.3.2.8 Are there pre-filled questions? |
No |
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? |
None |
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? |
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6.3.2.14 Number of surveys already performed with the current questionnaire? |
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6.3.2.15 Preparatory testing of the questionnaire? |
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6.3.2.16 Number of units participating in the tests? |
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6.3.2.17 Explanatory notes/handbook for surveyors/respondents? |
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6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents? |
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6.3.2.19 Are there pre-filled questions? |
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6.3.2.20 Percentage of pre-filled questions out of total number of questions |
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6.3.2.21 Other actions taken for reducing the measurement error? |
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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 |
Fruktträd 2017 (Fruit Trees 2017) |
6.3.3.2 Unit non-response - rate |
46% |
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? |
High |
6.3.3.4 Measures taken for minimising the unit non-response |
Reminders Imputation Weighting |
6.3.3.5 If Other, please specify |
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6.3.3.6 Item non-response rate |
Cannot determine |
6.3.3.7 Item non-response rate - Minimum |
Cannot determine |
6.3.3.8 Item non-response rate - Maximum |
Cannot determine |
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 |
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6.3.3.12 Unit non-response - rate |
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6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context? |
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6.3.3.14 Measures taken for minimising the unit non-response |
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6.3.3.15 If Other, please specify |
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6.3.3.16 Item non-response rate |
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6.3.3.17 Item non-response rate - Minimum |
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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? |
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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 |
Fruktträd 2017 (Fruit Trees 2017) |
6.3.4.2 Imputation - rate |
13% (36 of 278 holdings) |
6.3.4.3 Imputation - basis |
Same unit in previous data |
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 |
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6.3.4.7 Imputation - rate |
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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 |
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6.3.5. Model assumption error |
No modelling was used. |
6.4. Seasonal adjustment |
No seasonal adjustments were made. The census targeted the maximum extent of the cultivation during the reference year. |
6.5. Data revision - policy |
Data revisions are made when significant errors in the produced statistics are encountered. Data revision procedures follow the guidelines in the Code of Practice. |
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? |
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6.6.3 What was the main reason for the revisions? |
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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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