Collect and manage data

Formats and tools

Unit Description
Reconstruct the unit from the xml and display it as an HTML page.
Assessment Tool
an assessor resource that builds a framework for writing an assessment tool
Assessment Template
generate a spreadsheet for marking this unit in a classroom environment. Put student names in the top row and check them off as they demonstrate competenece for each of the unit's elements and performance criteria.
Assessment Matrix
a slightly different format than the assessment template. A spreadsheet with unit names, elements and performance criteria in separate columns. Put assessment names in column headings to track which performance criteria each one covers. Good for ensuring that you've covered every one of the performance criteria with your assessment instrument (all assessement tools together).
Wiki Markup
mark up the unit in a wiki markup codes, ready to copy and paste into a wiki page. The output will work in most wikis but is designed to work particularly well as a Wikiversity learning project.
Evidence Guide
create an evidence guide for workplace assessment and RPL applicants
Competency Mapping Template
Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners. A template for developing assessments for a unit, which will help you to create valid, fair and reliable assessments for the unit, ready to give to trainers and students
Observation Checklist
create an observation checklist for workplace assessment and RPL applicants. This is similar to the evidence guide above, but a little shorter and friendlier on your printer. You will also need to create a seperate Assessor Marking Guide for guidelines on gathering evidence and a list of key points for each activity observed using the unit's range statement, required skills and evidence required (see the unit's html page for details)

Self Assessment Survey
A form for students to assess thier current skill levels against each of the unit's performance criteria. Cut and paste into a web document or print and distribute in hard copy.
Moodle Outcomes
Create a csv file of the unit's performance criteria to import into a moodle course as outcomes, ready to associate with each of your assignments. Here's a quick 'how to' for importing these into moodle 2.x
Registered Training Organisations
Trying to find someone to train or assess you? This link lists all the RTOs that are currently registered to deliver AHCWRK502, 'Collect and manage data'.
Google Links
links to google searches, with filtering in place to maximise the usefulness of the returned results
Reference books for 'Collect and manage data' on This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to for every purchase, so go nuts :)

Elements and Performance Criteria


Performance criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Determine the type and extent of data to be collected

1.1 Define data requirements and communicate to all staff involved in data collection

1.2 Identify relevant data sources

1.3 Define the type and extent of data required

1.4 Identify work health and safety hazards associated with data collecting

1.5 Define data collection methods and techniques relative to data requirements

2. Access and collate data

2.1 Format data collection sheets to assist collection

2.2 esearch or collect data from field source

2.3 Collate data by appropriate electronic means

2.4 Monitor appropriateness of data and record during collection

2.5 Research information using appropriate methods and technologies

2.6 Review sources of information regularly for usefulness, validity, reliability and cost

2.7 Use channels and sources of information effectively

2.8 Take opportunities to establish and maintain contacts with those who may provide useful information

2.9 Follow appropriate work health and safety requirements and work practices

3. Evaluate data

3.1 Collect data that is relevant, valid and sufficient

3.2 Seek clarification and assistance where data is unclear or difficult to interpret

3.3 Obtain additional data where data is inadequate

3.4 Analyse information for its validity and reliability

4. Manage and retrieve data

4.1 Store data by appropriate electronic means

4.2 Present data using appropriate graphical aids and techniques

4.3 Assemble data and provide to the manager or client as required

4.4 Retrieve data as required

4.5 Suggest and introduce new methods of recording and storing data as needed

5. Analyse and interpret data

5.1 Analyse data using appropriate statistical and analytical techniques

5.2 Interpret data to determine its significance, validity and reliability

5.3 Report findings based on the analysis and interpretation of the data

5.4 Organise data into a suitable report format to aid decision making

5.5 Ensure conclusions drawn are based on reasoned argument and appropriate evidence