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 PSPGEN062, 'Collect statistical data'.
- Google Links
- links to google searches, with filtering in place to maximise the usefulness of the returned results
- Reference books for 'Collect statistical data' on fishpond.com.au. This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to ntisthis.com for every purchase, so go nuts :)
Elements and 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. Prepare for data collection
1.1 Study the project or survey question and clarify where necessary.
1.2 Define expected data outputs.
1.3 Familiarise yourself with proposed technology and customise where necessary.
1.4 Confirm the population for the source of data.
1.5 Assess the survey design for suitability.
2. Define data requirements
2.1 Determine the accuracy requirements (precision) of the data to be collected.
2.2 Define the requirements of proposed information management system with regard to storage and processing of data.
2.3 Define and communicate information requirements to all staff involved in data collection.
2.4 Identify and assess data sources for accessibility and reliability.
2.5 Define the type and extent of data required.
2.6 Apply classification standards to the proposed data.
3. Prepare data collection tools for direct collection
3.1 Define data collection methods and techniques clearly relative to data requirements.
3.2 Identify the optimum method for gathering the proposed data after research of alternatives has occurred.
3.3 Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.
3.4 Test and evaluate the survey vehicle.
4. Conduct data collection using direct collection
4.1 Identify and/or construct the proposed sampling frame.
4.2 Select a sample and implement a pilot study.
4.3 Re-evaluate the proposed survey design based on the results of the pilot study.
4.4 Conduct the main survey according to accepted professional standards.
4.5 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
5.1 Source data for the project.
5.2 Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.
5.3 Review sources of information regularly for usefulness, reliability and cost.
5.4 Use channels and sources of information effectively.
6. Collate and organise information/data
6.1 Identify statistics to support the project question.
6.2 Collate data electronically.
6.3 Evaluate the accuracy and appropriateness of data.
6.4 Record data in the desired format.