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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Prepare for data collection
   • Study the project or survey question and clarify where necessary.
   • Define expected data outputs.
   • Familiarise yourself with proposed technology and customise where necessary.
   • Confirm the population for the source of data.
   • Assess the survey design for suitability.
2. Define data requirements
   • Determine the accuracy requirements (precision) of the data to be collected.
   • Define the requirements of proposed information management system with regard to storage and processing of data.
   • Define and communicate information requirements to all staff involved in data collection.
   • Identify and assess data sources for accessibility and reliability.
   • Define the type and extent of data required.
   • Apply classification standards to the proposed data.
3. Prepare data collection tools for direct collection
   • Define data collection methods and techniques clearly relative to data requirements.
   • Identify the optimum method for gathering the proposed data after research of alternatives has occurred.
   • Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.
   • Test and evaluate the survey vehicle.
4. Conduct data collection using direct collection
   • Identify and/or construct the proposed sampling frame.
   • Select a sample and implement a pilot study.
   • Re-evaluate the proposed survey design based on the results of the pilot study.
   • Conduct the main survey according to accepted professional standards.
   • Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.
5. Conduct data collection from existing source/s
   • Source data for the project.
   • Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.
   • Review sources of information regularly for usefulness, reliability and cost.
   • Use channels and sources of information effectively.
6. Collate and organise information/data
   • Identify statistics to support the project question.
   • Collate data electronically.
   • Evaluate the accuracy and appropriateness of data.
   • Record data in the desired format.
7. Prepare for data collection
   • Study the project or survey question and clarify where necessary.
   • Define expected data outputs.
   • Familiarise yourself with proposed technology and customise where necessary.
   • Confirm the population for the source of data.
   • Assess the survey design for suitability.
8. Define data requirements
   • Determine the accuracy requirements (precision) of the data to be collected.
   • Define the requirements of proposed information management system with regard to storage and processing of data.
   • Define and communicate information requirements to all staff involved in data collection.
   • Identify and assess data sources for accessibility and reliability.
   • Define the type and extent of data required.
   • Apply classification standards to the proposed data.
9. Prepare data collection tools for direct collection
   • Define data collection methods and techniques clearly relative to data requirements.
   • Identify the optimum method for gathering the proposed data after research of alternatives has occurred.
   • Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.
   • Test and evaluate the survey vehicle.
10. Conduct data collection using direct collection
    • Identify and/or construct the proposed sampling frame.
    • Select a sample and implement a pilot study.
    • Re-evaluate the proposed survey design based on the results of the pilot study.
    • Conduct the main survey according to accepted professional standards.
    • Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.
11. Conduct data collection from existing source/s
    • Source data for the project.
    • Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.
    • Review sources of information regularly for usefulness, reliability and cost.
    • Use channels and sources of information effectively.
12. Collate and organise information/data
    • Identify statistics to support the project question.
    • Collate data electronically.
    • Evaluate the accuracy and appropriateness of data.
    • Record data in the desired format.

Performance Evidence

Evidence required to demonstrate competence must satisfy all of the requirements of the elements and performance criteria. If not otherwise specified the candidate must demonstrate evidence of performance of the following on at least one occasion.

applying legislation, regulations and policies relating to statistical data collection

deciding which survey method to use

designing questionnaires

using communication methods including consultation, establishing and maintaining contacts

reading information and data requirements

writing survey questions that are unambiguous and reflect intended meaning

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Knowledge Evidence

Evidence required to demonstrate competence must satisfy all of the requirements of the elements and performance criteria. If not otherwise specified the depth of knowledge demonstrated must be appropriate to the job context of the candidate.

public sector legislation including WHS and environment, regulations, policies, procedures and guidelines relating to statistical data collection, privacy and confidentiality

the advantages and disadvantages of different data sources

the differences between census and survey data

the importance of identifying a good frame

the quality of the statistics and for what purpose the data can be used

the limitations of the statistics used

different data collection methodologies and how they affect results

data collection and sampling methodologies

the effects of nonresponse on survey estimates

the impact of types of errors

national and international classification standards

information management systems

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