Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

PSPGEN062 Mapping and Delivery Guide
Collect statistical data

Version 1.0
Issue Date: April 2024


Qualification -
Unit of Competency PSPGEN062 - Collect statistical data
Description
Employability Skills
Learning Outcomes and Application This unit describes the skills required to develop a data collection plan and then collect new data. It includes preparing for data collection, defining data requirements, preparing data collection tools for direct collection, conducting data collection using direct collection, conducting data collection from existing source/s and collating and organising information/data.This unit applies to those working in generalist and specialist roles within the public sector.The skills and knowledge described in this unit must be applied within the legislative, regulatory and policy environment in which they are carried out. Organisational policies and procedures must be consulted and adhered to.Those undertaking this unit would work autonomously consulting others as required, performing complex tasks in a range of familiar contexts.No licensing, legislative or certification requirements apply to unit at the time of publication.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.

This unit contains no specific industry-mandated assessment conditions. Guidance on suggested and recommended conditions and methods can be found in the Implementation Guide.

Assessors must satisfy the NVR/AQTF mandatory competency requirements for assessors.

Prerequisites/co-requisites
Competency Field General
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities
Slides
PPT
Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: Prepare for data collection
  • Study the project or survey question and clarify where necessary.
  • Define expected data outputs.
  • Familiarise yourself with proposed technology and customise where necessary.
  • Confirm the population for the source of data.
  • Assess the survey design for suitability.
       
Element: Define data requirements
  • Determine the accuracy requirements (precision) of the data to be collected.
  • Define the requirements of proposed information management system with regard to storage and processing of data.
  • Define and communicate information requirements to all staff involved in data collection.
  • Identify and assess data sources for accessibility and reliability.
  • Define the type and extent of data required.
  • Apply classification standards to the proposed data.
       
Element: Prepare data collection tools for direct collection
  • Define data collection methods and techniques clearly relative to data requirements.
  • Identify the optimum method for gathering the proposed data after research of alternatives has occurred.
  • Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.
  • Test and evaluate the survey vehicle.
       
Element: Conduct data collection using direct collection
  • Identify and/or construct the proposed sampling frame.
  • Select a sample and implement a pilot study.
  • Re-evaluate the proposed survey design based on the results of the pilot study.
  • Conduct the main survey according to accepted professional standards.
  • Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.
       
Element: Conduct data collection from existing source/s
  • Source data for the project.
  • Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.
  • Review sources of information regularly for usefulness, reliability and cost.
  • Use channels and sources of information effectively.
       
Element: Collate and organise information/data
  • Identify statistics to support the project question.
  • Collate data electronically.
  • Evaluate the accuracy and appropriateness of data.
  • Record data in the desired format.
       
Element: Prepare for data collection
  • Study the project or survey question and clarify where necessary.
  • Define expected data outputs.
  • Familiarise yourself with proposed technology and customise where necessary.
  • Confirm the population for the source of data.
  • Assess the survey design for suitability.
       
Element: Define data requirements
  • Determine the accuracy requirements (precision) of the data to be collected.
  • Define the requirements of proposed information management system with regard to storage and processing of data.
  • Define and communicate information requirements to all staff involved in data collection.
  • Identify and assess data sources for accessibility and reliability.
  • Define the type and extent of data required.
  • Apply classification standards to the proposed data.
       
Element: Prepare data collection tools for direct collection
  • Define data collection methods and techniques clearly relative to data requirements.
  • Identify the optimum method for gathering the proposed data after research of alternatives has occurred.
  • Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.
  • Test and evaluate the survey vehicle.
       
Element: Conduct data collection using direct collection
  • Identify and/or construct the proposed sampling frame.
  • Select a sample and implement a pilot study.
  • Re-evaluate the proposed survey design based on the results of the pilot study.
  • Conduct the main survey according to accepted professional standards.
  • Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.
       
Element: Conduct data collection from existing source/s
  • Source data for the project.
  • Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.
  • Review sources of information regularly for usefulness, reliability and cost.
  • Use channels and sources of information effectively.
       
Element: Collate and organise information/data
  • Identify statistics to support the project question.
  • Collate data electronically.
  • Evaluate the accuracy and appropriateness of data.
  • Record data in the desired format.
       


Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

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. 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.

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 and policies relating to statistical data collection

deciding which survey method to use

designing questionnaires

using communication methods including consultation, establishing and maintaining contacts

reading information and data requirements

writing survey questions that are unambiguous and reflect intended meaning

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 collection, privacy and confidentiality

the advantages and disadvantages of different data sources

the differences between census and survey data

the importance of identifying a good frame

the quality of the statistics and for what purpose the data can be used

the limitations of the statistics used

different data collection methodologies and how they affect results

data collection and sampling methodologies

the effects of nonresponse on survey estimates

the impact of types of errors

national and international classification standards

information management systems


Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)


Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

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. 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.

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
Study the project or survey question and clarify where necessary. 
Define expected data outputs. 
Familiarise yourself with proposed technology and customise where necessary. 
Confirm the population for the source of data. 
Assess the survey design for suitability. 
Determine the accuracy requirements (precision) of the data to be collected. 
Define the requirements of proposed information management system with regard to storage and processing of data. 
Define and communicate information requirements to all staff involved in data collection. 
Identify and assess data sources for accessibility and reliability. 
Define the type and extent of data required. 
Apply classification standards to the proposed data. 
Define data collection methods and techniques clearly relative to data requirements. 
Identify the optimum method for gathering the proposed data after research of alternatives has occurred. 
Design the survey vehicle or questionnaire in conjunction with a suitably qualified person. 
Test and evaluate the survey vehicle. 
Identify and/or construct the proposed sampling frame. 
Select a sample and implement a pilot study. 
Re-evaluate the proposed survey design based on the results of the pilot study. 
Conduct the main survey according to accepted professional standards. 
Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden. 
Source data for the project. 
Identify a range of statistics necessary for the project in conjunction with a suitably qualified person. 
Review sources of information regularly for usefulness, reliability and cost. 
Use channels and sources of information effectively. 
Identify statistics to support the project question. 
Collate data electronically. 
Evaluate the accuracy and appropriateness of data. 
Record data in the desired format. 
Study the project or survey question and clarify where necessary. 
Define expected data outputs. 
Familiarise yourself with proposed technology and customise where necessary. 
Confirm the population for the source of data. 
Assess the survey design for suitability. 
Determine the accuracy requirements (precision) of the data to be collected. 
Define the requirements of proposed information management system with regard to storage and processing of data. 
Define and communicate information requirements to all staff involved in data collection. 
Identify and assess data sources for accessibility and reliability. 
Define the type and extent of data required. 
Apply classification standards to the proposed data. 
Define data collection methods and techniques clearly relative to data requirements. 
Identify the optimum method for gathering the proposed data after research of alternatives has occurred. 
Design the survey vehicle or questionnaire in conjunction with a suitably qualified person. 
Test and evaluate the survey vehicle. 
Identify and/or construct the proposed sampling frame. 
Select a sample and implement a pilot study. 
Re-evaluate the proposed survey design based on the results of the pilot study. 
Conduct the main survey according to accepted professional standards. 
Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden. 
Source data for the project. 
Identify a range of statistics necessary for the project in conjunction with a suitably qualified person. 
Review sources of information regularly for usefulness, reliability and cost. 
Use channels and sources of information effectively. 
Identify statistics to support the project question. 
Collate data electronically. 
Evaluate the accuracy and appropriateness of data. 
Record data in the desired format. 

Forms

Assessment Cover Sheet

PSPGEN062 - Collect statistical data
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

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Assessor name:

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Assessment Record Sheet

PSPGEN062 - Collect statistical data

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: