NTISthis.com

Evidence Guide: PSPGEN062 - Collect 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

 

PSPGEN062 - Collect statistical data

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

Prepare for data collection

  1. Study the project or survey question and clarify where necessary.
  2. Define expected data outputs.
  3. Familiarise yourself with proposed technology and customise where necessary.
  4. Confirm the population for the source of data.
  5. Assess the survey design for suitability.
Study the project or survey question and clarify where necessary.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define expected data outputs.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Familiarise yourself with proposed technology and customise where necessary.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Confirm the population for the source of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assess the survey design for suitability.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define data requirements

  1. Determine the accuracy requirements (precision) of the data to be collected.
  2. Define the requirements of proposed information management system with regard to storage and processing of data.
  3. Define and communicate information requirements to all staff involved in data collection.
  4. Identify and assess data sources for accessibility and reliability.
  5. Define the type and extent of data required.
  6. Apply classification standards to the proposed data.
Determine the accuracy requirements (precision) of the data to be collected.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define the requirements of proposed information management system with regard to storage and processing of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define and communicate information requirements to all staff involved in data collection.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify and assess data sources for accessibility and reliability.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define the type and extent of data required.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Apply classification standards to the proposed data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare data collection tools for direct collection

  1. Define data collection methods and techniques clearly relative to data requirements.
  2. Identify the optimum method for gathering the proposed data after research of alternatives has occurred.
  3. Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.
  4. Test and evaluate the survey vehicle.
Define data collection methods and techniques clearly relative to data requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify the optimum method for gathering the proposed data after research of alternatives has occurred.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Test and evaluate the survey vehicle.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Conduct data collection using direct collection

  1. Identify and/or construct the proposed sampling frame.
  2. Select a sample and implement a pilot study.
  3. Re-evaluate the proposed survey design based on the results of the pilot study.
  4. Conduct the main survey according to accepted professional standards.
  5. Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.
Identify and/or construct the proposed sampling frame.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Select a sample and implement a pilot study.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Re-evaluate the proposed survey design based on the results of the pilot study.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Conduct the main survey according to accepted professional standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Conduct data collection from existing source/s

  1. Source data for the project.
  2. Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.
  3. Review sources of information regularly for usefulness, reliability and cost.
  4. Use channels and sources of information effectively.
Source data for the project.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Review sources of information regularly for usefulness, reliability and cost.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use channels and sources of information effectively.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Collate and organise information/data

  1. Identify statistics to support the project question.
  2. Collate data electronically.
  3. Evaluate the accuracy and appropriateness of data.
  4. Record data in the desired format.
Identify statistics to support the project question.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Collate data electronically.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Evaluate the accuracy and appropriateness of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Record data in the desired format.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare for data collection

  1. Study the project or survey question and clarify where necessary.
  2. Define expected data outputs.
  3. Familiarise yourself with proposed technology and customise where necessary.
  4. Confirm the population for the source of data.
  5. Assess the survey design for suitability.
Study the project or survey question and clarify where necessary.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define expected data outputs.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Familiarise yourself with proposed technology and customise where necessary.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Confirm the population for the source of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assess the survey design for suitability.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define data requirements

  1. Determine the accuracy requirements (precision) of the data to be collected.
  2. Define the requirements of proposed information management system with regard to storage and processing of data.
  3. Define and communicate information requirements to all staff involved in data collection.
  4. Identify and assess data sources for accessibility and reliability.
  5. Define the type and extent of data required.
  6. Apply classification standards to the proposed data.
Determine the accuracy requirements (precision) of the data to be collected.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define the requirements of proposed information management system with regard to storage and processing of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define and communicate information requirements to all staff involved in data collection.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify and assess data sources for accessibility and reliability.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Define the type and extent of data required.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Apply classification standards to the proposed data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare data collection tools for direct collection

  1. Define data collection methods and techniques clearly relative to data requirements.
  2. Identify the optimum method for gathering the proposed data after research of alternatives has occurred.
  3. Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.
  4. Test and evaluate the survey vehicle.
Define data collection methods and techniques clearly relative to data requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify the optimum method for gathering the proposed data after research of alternatives has occurred.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Design the survey vehicle or questionnaire in conjunction with a suitably qualified person.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Test and evaluate the survey vehicle.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Conduct data collection using direct collection

  1. Identify and/or construct the proposed sampling frame.
  2. Select a sample and implement a pilot study.
  3. Re-evaluate the proposed survey design based on the results of the pilot study.
  4. Conduct the main survey according to accepted professional standards.
  5. Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.
Identify and/or construct the proposed sampling frame.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Select a sample and implement a pilot study.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Re-evaluate the proposed survey design based on the results of the pilot study.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Conduct the main survey according to accepted professional standards.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Take opportunities to establish and maintain contacts with those who may provide useful information, with due consideration of respondent burden.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Conduct data collection from existing source/s

  1. Source data for the project.
  2. Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.
  3. Review sources of information regularly for usefulness, reliability and cost.
  4. Use channels and sources of information effectively.
Source data for the project.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify a range of statistics necessary for the project in conjunction with a suitably qualified person.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Review sources of information regularly for usefulness, reliability and cost.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use channels and sources of information effectively.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Collate and organise information/data

  1. Identify statistics to support the project question.
  2. Collate data electronically.
  3. Evaluate the accuracy and appropriateness of data.
  4. Record data in the desired format.
Identify statistics to support the project question.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Collate data electronically.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Evaluate the accuracy and appropriateness of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Record data in the desired format.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

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.

Required Skills and Knowledge

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