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Evidence Guide: PSPGEN063 - Process statistical data

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

PSPGEN063 - Process statistical data

What evidence can you provide to prove your understanding of each of the following citeria?

Use software tools to collect and/or store data

  1. Use computer technologies in accordance with organisational licensing and manufacturer specifications.
  2. Use software to collect, store and retrieve data.
  3. Check and verify computer input and output with a suitable person.
  4. Code and record data in accordance with organisational and/or professional standards.
  5. Store and retrieve data in accordance with accepted standards, with metadata included.
  6. Use geographic information system (GIS) and database tools to access and retrieve a range of data.
Use computer technologies in accordance with organisational licensing and manufacturer specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use software to collect, store and retrieve data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Check and verify computer input and output with a suitable person.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Code and record data in accordance with organisational and/or professional standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Store and retrieve data in accordance with accepted standards, with metadata included.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use geographic information system (GIS) and database tools to access and retrieve a range of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Process raw data

  1. Validate data in accordance with statistical standards.
  2. Use GIS and spreadsheet tools to retrieve data and present it in a suitable format.
  3. Identify spurious or inaccurate data.
  4. Ensure data is confidential.
Validate data in accordance with statistical standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use GIS and spreadsheet tools to retrieve data and present it in a suitable format.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify spurious or inaccurate data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Ensure data is confidential.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Maintain records

  1. Manage the dataset in accordance with accepted standards.
  2. Design long-term archiving systems in accordance with accepted standards.
  3. Perform workplace processes in accordance with relevant quality assurance standards.
  4. Validate data to ensure accuracy and consistency of data in the dataset.
Manage the dataset in accordance with accepted standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Design long-term archiving systems in accordance with accepted standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Perform workplace processes in accordance with relevant quality assurance standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Validate data to ensure accuracy and consistency of data in the dataset.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use software tools to collect and/or store data

  1. Use computer technologies in accordance with organisational licensing and manufacturer specifications.
  2. Use software to collect, store and retrieve data.
  3. Check and verify computer input and output with a suitable person.
  4. Code and record data in accordance with organisational and/or professional standards.
  5. Store and retrieve data in accordance with accepted standards, with metadata included.
  6. Use geographic information system (GIS) and database tools to access and retrieve a range of data.
Use computer technologies in accordance with organisational licensing and manufacturer specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use software to collect, store and retrieve data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Check and verify computer input and output with a suitable person.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Code and record data in accordance with organisational and/or professional standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Store and retrieve data in accordance with accepted standards, with metadata included.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use geographic information system (GIS) and database tools to access and retrieve a range of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Process raw data

  1. Validate data in accordance with statistical standards.
  2. Use GIS and spreadsheet tools to retrieve data and present it in a suitable format.
  3. Identify spurious or inaccurate data.
  4. Ensure data is confidential.
Validate data in accordance with statistical standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use GIS and spreadsheet tools to retrieve data and present it in a suitable format.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify spurious or inaccurate data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Ensure data is confidential.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Maintain records

  1. Manage the dataset in accordance with accepted standards.
  2. Design long-term archiving systems in accordance with accepted standards.
  3. Perform workplace processes in accordance with relevant quality assurance standards.
  4. Validate data to ensure accuracy and consistency of data in the dataset.
Manage the dataset in accordance with accepted standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Design long-term archiving systems in accordance with accepted standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Perform workplace processes in accordance with relevant quality assurance standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Validate data to ensure accuracy and consistency of data in the dataset.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

ELEMENTS

PERFORMANCE CRITERIA

Elements describe the essential outcomes

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions section.

1. Use software tools to collect and/or store data

1.1 Use computer technologies in accordance with organisational licensing and manufacturer specifications.

1.2 Use software to collect, store and retrieve data.

1.3 Check and verify computer input and output with a suitable person.

1.4 Code and record data in accordance with organisational and/or professional standards.

1.5 Store and retrieve data in accordance with accepted standards, with metadata included.

1.6 Use geographic information system (GIS) and database tools to access and retrieve a range of data.

2. Process raw data

2.1 Validate data in accordance with statistical standards.

2.2 Use GIS and spreadsheet tools to retrieve data and present it in a suitable format.

2.3 Identify spurious or inaccurate data.

2.4 Ensure data is confidential.

3. Maintain records

3.1 Manage the dataset in accordance with accepted standards.

3.2 Design long-term archiving systems in accordance with accepted standards.

3.3 Perform workplace processes in accordance with relevant quality assurance standards.

3.4 Validate data to ensure accuracy and consistency of data in the dataset.

Required Skills and Knowledge

ELEMENTS

PERFORMANCE CRITERIA

Elements describe the essential outcomes

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions section.

1. Use software tools to collect and/or store data

1.1 Use computer technologies in accordance with organisational licensing and manufacturer specifications.

1.2 Use software to collect, store and retrieve data.

1.3 Check and verify computer input and output with a suitable person.

1.4 Code and record data in accordance with organisational and/or professional standards.

1.5 Store and retrieve data in accordance with accepted standards, with metadata included.

1.6 Use geographic information system (GIS) and database tools to access and retrieve a range of data.

2. Process raw data

2.1 Validate data in accordance with statistical standards.

2.2 Use GIS and spreadsheet tools to retrieve data and present it in a suitable format.

2.3 Identify spurious or inaccurate data.

2.4 Ensure data is confidential.

3. Maintain records

3.1 Manage the dataset in accordance with accepted standards.

3.2 Design long-term archiving systems in accordance with accepted standards.

3.3 Perform workplace processes in accordance with relevant quality assurance standards.

3.4 Validate data to ensure accuracy and consistency of data in the dataset.

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, policies and standards relating to statistical data processing

using at least one database management tool

using information technology, including spreadsheets and databases

undertaking critical analysis and problem solving

recordkeeping

reading and interpreting information

using numeracy skills for data analysis/validation

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 processing privacy and confidentiality

statistical standards and classifications

data processing concepts and systems

workplace quality assurance standards

management information policies