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Evidence Guide: PSPGOV522A - 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

 

PSPGOV522A - Process statistical data

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

Prepare raw data for electronic storage

  1. Data is coded and recorded in accordance with organisational and/or professional standards.
Data is coded and recorded in accordance with organisational and/or professional standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use software tools to collect and/or store data

  1. Computer technologies are used in accordance with organisational licensing, manufacturers' specifications and organisational procedures.
  2. Software is used to collect, store and retrieve data in accordance with legislation, policy and guidelines.
  3. Computer input/output is checked and verified by a suitable person.
  4. Data is stored and retrieved in accordance with accepted standards with meta-data included.
  5. Geographic Information System (GIS) and database tools are used to access and retrieve a range of data.
Computer technologies are used in accordance with organisational licensing, manufacturers' specifications and organisational procedures.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Software is used to collect, store and retrieve data in accordance with legislation, policy and guidelines.

Completed
Date:

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Computer input/output is checked and verified by a suitable person.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is stored and retrieved in accordance with accepted standards with meta-data included.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Geographic Information System (GIS) and database tools are used to access and retrieve a range of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Process raw data

  1. Data is validated in accordance with statistical standards.
  2. GIS and spreadsheet tools are used to retrieve data and present it in a suitable format.
  3. Spurious and/or inaccurate data is identified.
  4. Data is made confidential according to standard operational and privacy procedures.
Data is validated in accordance with statistical standards.

Completed
Date:

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

Completed
Date:

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Spurious and/or inaccurate data is identified.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is made confidential according to standard operational and privacy procedures.

Completed
Date:

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Maintain records

  1. The management of the dataset is undertaken in accordance with accepted standards.
  2. The design of long-term storage/archiving systems is effected in accordance with accepted standards.
  3. Workplace processes are performed in accordance with relevant quality assurance standards.
  4. Validation of data is undertaken to ensure accuracy and consistency of data in the dataset in accordance with statistical standards.
The management of the dataset is undertaken in accordance with accepted standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

The design of long-term storage/archiving systems is effected in accordance with accepted standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Workplace processes are performed in accordance with relevant quality assurance standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Validation of data is undertaken to ensure accuracy and consistency of data in the dataset in accordance with statistical standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

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

Pre-requisite units that must be achieved prior to this unit:Nil

Co-requisite units that must be assessed with this unit:Nil

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

PSPETHC501B Promote the values and ethos of public service

PSPGOV503B Coordinate resource allocation and usage

PSPGOV504B Undertake research and analysis

PSPGOV520A Scope statistical data collection

PSPGOV521A Collect statistical data

PSPGOV523A Interrogate and analyse statistical data

PSPGOV524A Interpret data and related statistics

PSPLEGN501B Promote compliance with legislation in the public sector

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 (3 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 (3 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 2 or more of:

case studies

demonstration

portfolios

projects

questioning

scenarios

simulation or role plays

authenticated evidence from the workplace and/or 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

Required Skills and Knowledge

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 analysis/validation

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

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