Google Links

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 raw data for electronic storage
  2. Use software tools to collect and/or store data
  3. Process raw data
  4. Maintain records

Required Skills

This section describes the essential skills and knowledge and their level required for this unit

Skill requirements

Look for evidence that confirms skills in

applying legislation regulations policies and standards relating to statistical data processing

using at least one database management tool

using information technology for example spreadsheets databases

accessing the Internet

undertaking critical analysis and problem solving

recordkeeping

reading and interpreting information

using numeracy skills for data analysisvalidation

responding to diversity including gender and disability

applying procedures relating to occupational health and safety and environment in the context of data processing

Knowledge requirements

Look for evidence that confirms knowledge and understanding of

legislation regulations policies procedures and guidelines relating to statistical data processing

legislation and policies governing privacy and confidentiality

statistical standards and classifications

data processing concepts and systems

workplace quality assurance standards

management information policies

equal employment opportunity equity and diversity principles

public sector legislation such as occupational health and safety and environment in the context of data processing

Evidence Required

The Evidence Guide specifies the evidence required to demonstrate achievement in the unit of competency as a whole It must be read in conjunction with the Unit descriptor Performance Criteria the Range Statement and the Assessment Guidelines for the Public Sector Training Package

Units to be assessed together

Prerequisite units that must be achieved prior to this unitNil

Corequisite units that must be assessed with this unitNil

Coassessed units that may be assessed with this unit to increase the efficiency and realism of the assessment process include but are not limited to

PSPETHCB Promote the values and ethos of public service

PSPETHC501B Promote the values and ethos of public service

PSPGOVB Coordinate resource allocation and usage

PSPGOV503B Coordinate resource allocation and usage

PSPGOVB Undertake research and analysis

PSPGOV504B Undertake research and analysis

PSPGOVA Scope statistical data collection

PSPGOV520A Scope statistical data collection

PSPGOVA Collect statistical data

PSPGOV521A Collect statistical data

PSPGOVA Interrogate and analyse statistical data

PSPGOV523A Interrogate and analyse statistical data

PSPGOVA Interpret data and related statistics

PSPGOV524A Interpret data and related statistics

PSPLEGNB Promote compliance with legislation in the public sector

PSPLEGN501B Promote compliance with legislation in the public sector

PSPPMB Manage complex projects

PSPPM502B Manage complex projects

Overview of evidence requirements

In addition to integrated demonstration of the elements and their related performance criteria look for evidence that confirms

the knowledge requirements of this unit

the skill requirements of this unit

application of Employability Skills as they relate to this unit

statistical data processed in a range of or more contexts or occasions over time

Resources required to carry out assessment

These resources include

legislation policy procedures and protocols relating to statistical data processing

technology and statistical tools

case studies and workplace scenarios to capture the range of situations likely to be encountered when processing statistical data

Where and how to assess evidence

Valid assessment of this unit requires

a workplace environment or one that closely resembles normal work practice and replicates the range of conditions likely to be encountered when processing statistical data including coping with difficulties irregularities and breakdowns in routine

statistical data processed in a range of or more contexts or occasions over time

Assessment methods should reflect workplace demands such as literacy and the needs of particular groups such as

people with disabilities

people from culturally and linguistically diverse backgrounds

Aboriginal and Torres Strait Islander people

women

young people

older people

people in rural and remote locations

Assessment methods suitable for valid and reliable assessment of this competency may include but are not limited to a combination of or more of

case studies

demonstration

portfolios

projects

questioning

scenarios

simulation or role plays

authenticated evidence from the workplace andor training courses

For consistency of assessment

Evidence must be gathered over time in a range of contexts to ensure the person can achieve the unit outcome and apply the competency in different situations or environments


Range Statement

The Range Statement provides information about the context in which the unit of competency is carried out. The variables cater for differences between States and Territories and the Commonwealth, and between organisations and workplaces. They allow for different work requirements, work practices and knowledge. The Range Statement also provides a focus for assessment. It relates to the unit as a whole. Text in bold italics in the Performance Criteria is explained here.

Software may include:

database tools

spreadsheets

web-based tools (online survey tools)

statistical packages

Legislation, policy and guidelines may include:

State/Territory and Commonwealth legislation and regulations such as:

public sector management acts

financial management acts

privacy legislation

equal employment opportunity and anti-discrimination legislation

occupational health and safety legislation

ethics and accountability standards

public sector standards

risk management standards

fraud control standards

government security standards

knowledge management standards

organisational policy, procedures and protocols

Management of the dataset may include:

updating of records

maintenance of the security of records