Apples and Pears Pilot Test Survey, Financial Year 2000/2001
- Overview *** You are here ***
- Quality Framework
- A. General Information
- B. User Requirements, Survey Objectives and Budget
- C. Alternative Sources of Data
- D. Data Outputs
- E. Questionnaire Design and Data Collection
- F. Respondent Load
- G. Population / Frame
- H. Sample Design
- I. Estimation and Analysis
Overview
 | Portfolio: | Treasurer | ||
| Agency: | ABS - Australian Bureau of Statistics | ||
| Contact Person... | Name: | Mike Raine | |
| Email: | mike.raine@abs.gov.au | ||
| Phone: | 03 6222 5804 (International +61) | | |
Summary
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The test will identify potential problems with the new layout of the form and the ability of respondents to provide the additional area data. |
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Reference Period & Frequency
| Reference Period: | Financial Year 2000/2001 |
| Frequency: | Pilot |
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Response Rates
| | | As planned | Actual |
| Number of businesses... | | ||
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| | Not available | Not available |
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| | Not available | Not available |
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| | Not available | Not available |
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| Average time to complete questionnaire: | | Not available | Not available |
| Statistics... | | | |
| Response rate: | | Not available | Not available |
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Clearance Information
| Survey reviewed by | |
| Stat. Clearing House: | Financial Year 2000/2001 |
| Status: | Not to be reviewed |
| For additional clearance information, please contact the Statistical Clearing House by phone, fax, post or email. | |
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Apples and Pears Pilot Test Survey, |
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Quality Framework
This data quality framework has been published internationally (Brackstone G., Managing Data Quality in a Statistical Agency, (1999) Survey Methodology, Vol. 25, no. 2, Statistics Canada) and has been recommended by the ANAO as 'better practice' in specifying performance measures (ATO Performance Reporting under the Outcomes and Outputs Framework, Australian Taxation Office, Audit Report No.46 2000-01, pp63-64.) on advice from the ABS Statistical Consultancy Unit.
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Relevance
The relevance of statistical information reflects the degree to which it meets the needs of the clients. It is usually described in terms of key user needs, key concepts and classifications used, the scope of the collection and the reference period. |
Why do you need to conduct a survey? (B1)
- The Australian Apple & Pear Growers Association's Executive have requested the ABS collect additional data to be collected in the next survey of apple and pear growers. They wish to have the area under production collected for each of the age groups by variety listed in 'apple varieties by state' and 'pear varieties by state'. This has resulted in a change to the layout of the questionnaire.
- The test will identify potential problems with the new layout of the form and the ability of respondents to provide the additional area data.
What statistical data analysis techniques will be performed? (I7)
What consideration has been given to the use of standards? Please specify. (D2)
What is the target population (scope) for the survey? (G1)
- 2000 Apple and Pear respondents who have not participated in the form testing process in recent years.
What is the type of unit on the frame to be used for the survey? (G3)
What is (are) the method(s) of collecting the data (eg self-completion, telephone interviewing, face to face interviewing, etc)? Why was it (were they) chosen? (E3)
To what reference period(s) does the survey refer? (A6)
Is the survey to be conducted once only or repeated? If repeated, with what frequency is the survey to be repeated? (A8)
- The survey is conducted annually, however this test is a one-off.
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Accessibility
The accessibility of statistical information refers to the ease with which it can be referenced by users. It includes the ease with which the existence of information can be ascertained, as well as the suitability of the form or medium through which the information can be accessed. |
How will the results of the survey be explained / presented to the major users? (I8)
Which agency and area is responsible for the survey? (A2)
- Australian Bureau of Statistics/Economic Statistics Group/Production Statistics/Agriculture and Mining.
- Mike Raine
Director Agriculture Statistics Centre
Tasmania
Phone: 03 6222 5804
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Timeliness
The timeliness of statistical information refers to the delay between the reference point to which it pertains and the date on which the information becomes available. |
To what reference peiod(s) does the survey refer? (A6)
What is the timetable for the survey? (B3)
- Test Timetable
Forms design | 9 March 2001 |
Approval process complete | 16 March 2001 |
Forms printed | 16 March 2001 |
Test forms despatched | 19 March 2001 |
Report written | 9 April 2001 |
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Accuracy
The accuracy of statistical information is the degree to which the information correctly describes the phenomena it was designed to measure. It includes measures of both sampling and non-sampling error. |
What is the expected total sample size to be approached and how has it been set? (H4)
- The testing will consist of:
- Observational studies - 10 respondents;
- Mail out - 80 respondents in 3 States (Approx. 26 mailed to each State).
Of the total sample size reported in H5, how many units are expected to respond? (H6)
- Mail out - 50% of respondents.
(Based on recent testing experience and the non-compulsory nature of the test).
In what ways does the coverage provided by the frame differ from the target population? (G6)
What quality control procedures will there be for data entry and coding? (I3)
What testing of the questionnaire(s) has (have) taken place? (E5)
What consultations have taken place, other than testing, with businesses or business associations regarding availability of data items and data collection methods? (E6)
How many units are there on the frame? (G4)
What actions have been taken to overcome known frame deficiencies? (G7)
Of the total sample size reported in H4, how many units are expected to be live and in scope? (H5)
What evidence is there that the expected respondents will be representative of non-respondents? (H7)
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Interpretability
The interpretability of statistical information reflects the availability of the supplementary information and metadata necessary to interpret and utilise it appropriately. It includes appropriate presentation of data such that it aids correction interpretation. |
How will the results of the survey be explained / presented to the major users? (I8)
What sample design will be used, eg, census, stratified simple random sample? (H1)
What stratification has been used in the sample design? (H2)
What allowances have been made for expected non-response and frame deficiencies in the sample design? (H8)
Will outliers be identified, and, if so, how will they be handled? (I4)
Will data be aggregated into statistical tables, and if so what are the estimation formulae for the principal output data items? (I5)
What allowances will be made for potential sources of non-sampling error in estimation? (I6)
What statistical data analysis techniques will be performed? (I7)
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Coherence
The coherence of statistical information reflects the degree to which it can be successfully brought together with other statistical information within a broad analytical framework and over time. The use of concepts, classifications and target populations promotes coherence, as does the use of common methodology across surveys. |
Is the survey a new survey or a cycle of an existing repeated survey? (A7)
- The survey is a test being conducted for an existing survey.
- The survey is conducted annually, however this test is a one-off.
What consideration has been given to making data item definitions consistent between repeats of this survey or across other surveys? (D3)
What alternative sources of data are available and what use is made of them? (C1)
In what respects are these alternative sources insufficient? (C2)
What consideration has been given to the use of standards? Please specify. (D2)
What consideration has been given to working with other agencies to make their data more suited to your needs? (C3)
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