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SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED UNIT STANDARD THAT HAS PASSED THE END DATE: 

Validate and verify analytical data 
SAQA US ID UNIT STANDARD TITLE
246434  Validate and verify analytical data 
ORIGINATOR
Chemical Industries SGB 
PRIMARY OR DELEGATED QUALITY ASSURANCE FUNCTIONARY
-  
FIELD SUBFIELD
Field 06 - Manufacturing, Engineering and Technology Manufacturing and Assembly 
ABET BAND UNIT STANDARD TYPE PRE-2009 NQF LEVEL NQF LEVEL CREDITS
Undefined  Regular  Level 4  NQF Level 04  6 
REGISTRATION STATUS REGISTRATION START DATE REGISTRATION END DATE SAQA DECISION NUMBER
Passed the End Date -
Status was "Reregistered" 		 2018-07-01  2023-06-30  SAQA 06120/18 
LAST DATE FOR ENROLMENT LAST DATE FOR ACHIEVEMENT
2024-06-30   2027-06-30  

In all of the tables in this document, both the pre-2009 NQF Level and the NQF Level is shown. In the text (purpose statements, qualification rules, etc), any references to NQF Levels are to the pre-2009 levels unless specifically stated otherwise.  

This unit standard does not replace any other unit standard and is not replaced by any other unit standard. 

PURPOSE OF THE UNIT STANDARD 
This unit standard is intended for a person who has to make a judgement of the accuracy and validity of analytical data for purposes of quality assurance.

A person credited with this unit standard is able to:
  • Gather evidence for the validation and verification of analytical data.
  • Represent, analyse and interpret analytical data.
  • Use evidence to validate and verify analytical data.
  • Record and report on the accuracy and validity of analytical data.

    This unit standard will contribute to the full development of the learner by providing recognition, further mobility and transportability within the sub-fields of manufacturing and assembly, physical sciences, life sciences, environmental sciences, earth and space sciences. The skills, knowledge and understanding demonstrated within this unit standard are essential for social and economic transformation and upliftment. 
    		•

    LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
    Description of required skills:
  • Communication and mathematical literacy, NQF Level 3. 
    		•

    UNIT STANDARD RANGE 
    The context of this unit standard includes any environment where analytical data is generated for the purpose of quality assurance.

    The level assigned to this unit standard is appropriate because the process requires a wide range of technical skills and offers a considerable choice of procedures. A broad knowledge base incorporating some theoretical concepts, analytical interpretation of information, informed judgement and a range of sometime innovative responses to concrete but often unfamiliar problems are employed. The application of this unit standard is to qualify the person for certification in advanced trade and technical occupations. 

    Specific Outcomes and Assessment Criteria: 

    SPECIFIC OUTCOME 1 
    Gather evidence for the validation and verification of analytical data. 
    OUTCOME RANGE 
    All the assessment criteria are addressed in accordance with standard principles of quality assurance and within the specific context of the learner's own work environment. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    The purposes of validation and verification of analytical data are explained. 

    ASSESSMENT CRITERION 2 
    The role of evidence in the establishment of the validity and accuracy of analytical data is explained. 

    ASSESSMENT CRITERION 3 
    Monitoring procedures for generating analytical data and evidence are identified and explained. 

    ASSESSMENT CRITERION 4 
    Types of evidence required for validation and verification of analytical data are identified and described. 

    ASSESSMENT CRITERION 5 
    Actual and sufficient evidence is gathered for the specific validation and verification process in accordance with workplace procedures. 

    SPECIFIC OUTCOME 2 
    Represent, analyse and interpret analytical data. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    Analytical data is sorted and organised in a tabular format in accordance to the specific purpose of the analysis. 

    ASSESSMENT CRITERION 2 
    Parameters for the data are determined according to company specifications, reference materials or legal requirements (where applicable). 

    ASSESSMENT CRITERION 3 
    The data is graphically represented in a suitable format. 
    ASSESSMENT CRITERION RANGE 
    Representation format includes a suitable chart style, scale size, legends and titles. Representation could be computer based or hand drawn.
     

    ASSESSMENT CRITERION 4 
    Control limits are indicated on the charts. 

    ASSESSMENT CRITERION 5 
    Charts are interpreted in terms of identifying deviations from requirements, outliers and trends. 

    ASSESSMENT CRITERION 6 
    Corrective action is taken based on the interpretation of the data. 
    ASSESSMENT CRITERION RANGE 
    Corrective actions may include, but are not limited to reporting deviation, resampling, repeating analysis and suggesting further action.
     

    SPECIFIC OUTCOME 3 
    Use evidence to validate and verify analytical data. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    All relevant gathered evidence is considered for validating and verifying analytical data in accordance with workplace procedures. 

    ASSESSMENT CRITERION 2 
    The analytical data is represented and interpreted by means of the statistical measures as required by the learner's work processes and environment. 
    ASSESSMENT CRITERION RANGE 
    Statistical measures may include but are not limited to:
  • Mean.
  • Standard deviation and relative standard deviation (%), or coefficient of variance.
  • Coefficient of regression.
  • Limits of detection and quantification.
  • Treatment of outliers (Q-test).
     
    		•

    ASSESSMENT CRITERION 3 
    The validity of analytical data is determined by evaluating the gathered evidence against company specifications, reference materials and legal requirements (where applicable). 

    ASSESSMENT CRITERION 4 
    The accuracy of analytical data is checked (verified) by evaluating the gathered evidence against company specifications, reference materials and legal requirements (where applicable). 

    ASSESSMENT CRITERION 5 
    A conclusion is formulated on the validity and accuracy of analytical data based on scientific principles. 

    SPECIFIC OUTCOME 4 
    Record and report on the accuracy and validity of analytical data. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    The level of validity and accuracy of the analytical data is recorded in accordance with workplace procedures. 

    ASSESSMENT CRITERION 2 
    The level of validity and accuracy of the analytical data is reported in accordance with workplace procedures. 

    ASSESSMENT CRITERION 3 
    Deviations from company specifications or legal requirements (where applicable) are highlighted and suitable corrective action is suggested. 

    ASSESSMENT CRITERION 4 
    Invalid and inaccurate analytical data is addressed in accordance with workplace procedures and within the context of the learner's specific work environment. 


    UNIT STANDARD ACCREDITATION AND MODERATION OPTIONS 
  • Internal moderation.
  • External moderation.
  • An assessor, accredited by the relevant ETQA, will assess the learner's competency.
  • Assessment procedures will be supplied by the ETQA in alignment with NSB requirements.
  • All assessment activities must be fair, so that all candidates have equal opportunities. Activities must be free of gender, ethnic or other bias.
  • Assessment and moderation procedures, activities and tools must be transparent, affordable and support development within the field, sub-field and NQF.
  • Questions and answers to determine theoretical knowledge are expected.
  • Examination of an assessment portfolio.
  • Reporting skills are demonstrated by effective communication, using verbal (language) and/or writing skills.
  • Direct observation in simulated or actual work conditions.
  • Practical demonstration of validations and verification activities. 
    		•

    UNIT STANDARD ESSENTIAL EMBEDDED KNOWLEDGE 
    The qualifying learner understands and is able to:
  • Gather evidence for the validation and verification of analytical data.
  • Represent, analyse and interpret analytical data.
  • Use evidence to validate and verify analytical data.
  • Record and report on the accuracy and validity of analytical data. 
    		•

    UNIT STANDARD DEVELOPMENTAL OUTCOME 
    N/A 

    UNIT STANDARD LINKAGES 
    N/A 


    Critical Cross-field Outcomes (CCFO): 

    UNIT STANDARD CCFO IDENTIFYING 
    Identify and solve problems in which response displays that responsible decisions, using critical and creative thinking, have been made by:
  • Gathering evidence for the validation and verification of analytical data.
  • Using evidence to validate and verify analytical data.
  • Suggesting suitable corrective actions where there are deviations.

    Refer to the following Specific Outcomes:
  • Gather evidence for the validation and verification of analytical data.
  • Represent, analyse and interpret analytical data.
  • Record and report on the accuracy and validity of analytical data. 
    		•

    UNIT STANDARD CCFO WORKING 
    Work effectively with others as a member of a team, group, organisation or community by:
  • Gathering evidence for the validation and verification of analytical data.
  • Using evidence to validate and verify analytical data.
  • Recording and reporting on the accuracy and validity of analytical data.

    Refer to the following Specific Outcomes:
  • Gather evidence for the validation and verification of analytical data.
  • Use evidence to validate and verify analytical data.
  • Record and report on the accuracy and validity of analytical data. 
    		•

    UNIT STANDARD CCFO ORGANISING 
    Organise and manage oneself and one's activities responsibly and effectively by:
  • Gathering evidence for the validation and verification of analytical data.
  • Sorting and organising analytical data.

    Refer to the following Specific Outcomes:
  • Gather evidence for the validation and verification of analytical data.
  • Represent, analyse and interpret analytical data. 
    		•

    UNIT STANDARD CCFO COLLECTING 
    Collect, analyse, organise and critically evaluate information by:
  • Gathering evidence for the validation and verification of analytical data.
  • Interpreting charts in terms of identifying deviations from requirements, outliers and trends.
  • Using evidence to validate and verify analytical data.
  • Reporting on the accuracy and validity of analytical data.

    Refer to all Specific Outcomes. 
    		•

    UNIT STANDARD CCFO COMMUNICATING 
    Communicate effectively by using mathematical and/or language skills in the modes of oral and/or written presentations by:
  • Gathering evidence for the validation and verification of analytical data.
  • Interpreting charts in terms of identifying deviations from requirements, outliers and trends.
  • Using evidence to validate and verify analytical data.
  • Recording and reporting on the accuracy and validity of analytical data.

    Refer to all Specific Outcomes. 
    		•

    UNIT STANDARD CCFO SCIENCE 
    Use science and technology effectively and critically, showing responsibility towards the environment and health of others by:
  • Using evidence to validate and verify analytical data.

    Refer to the following Specific Outcome:
  • Represent, analyse and interpret analytical data. 
    		•

    UNIT STANDARD CCFO DEMONSTRATING 
    Demonstrate an understanding of the world as a set of related systems by recognising that problem solving contexts do not exist in isolation by:
  • Gathering evidence for the validation and verification of analytical data.
  • Using evidence to validate and verify analytical data.
  • Recording and reporting on the accuracy and validity of analytical data.

    Refer to the following Specific Outcomes:
  • Represent, analyse and interpret analytical data.
  • Use evidence to validate and verify analytical data. 
    		•

    UNIT STANDARD CCFO CONTRIBUTING 
    Contribute to the full personal development of each learner and the social and economic development of the society at large by:
  • Understanding the role of validating and verifying analytical data in the laboratory analysis environment and the effect it has on the growth and development of the organisation, its customers and employees.

    Refer to all Specific Outcomes. 
    		•

    UNIT STANDARD ASSESSOR CRITERIA 
    N/A 

    REREGISTRATION HISTORY 
    As per the SAQA Board decision/s at that time, this unit standard was Reregistered in 2012; 2015. 

    UNIT STANDARD NOTES 
    Terms and definitions:

    Standard operating procedures:
  • The documented practice(s) defining the who, what, and when of quality activities.

    Validate:
  • To collect and evaluate data in order to determine whether it is well-grounded on evidence or accepted principles.

    Verify:
  • To test, check, confirm or substantiate the accuracy or correctness of data by comparing it with accepted standards or by referring to facts. 
    		•

    QUALIFICATIONS UTILISING THIS UNIT STANDARD: 
      ID QUALIFICATION TITLE PRE-2009 NQF LEVEL NQF LEVEL STATUS END DATE PRIMARY OR DELEGATED QA FUNCTIONARY
    Elective  64950   Further Education and Training Certificate: Laboratory Analysis  Level 4  NQF Level 04  Passed the End Date -
    Status was "Reregistered"     		 2023-06-30  As per Learning Programmes recorded against this Qual 
    Elective  58952   Further Education and Training Certificate: Laboratory Analysis  Level 4  NQF Level 04  Passed the End Date -
    Status was "Registered"     		 2008-08-05  As per Learning Programmes recorded against this Qual 


    PROVIDERS CURRENTLY ACCREDITED TO OFFER THIS UNIT STANDARD: 
    This information shows the current accreditations (i.e. those not past their accreditation end dates), and is the most complete record available to SAQA as of today. Some Primary or Delegated Quality Assurance Functionaries have a lag in their recording systems for provider accreditation, in turn leading to a lag in notifying SAQA of all the providers that they have accredited to offer qualifications and unit standards, as well as any extensions to accreditation end dates. The relevant Primary or Delegated Quality Assurance Functionary should be notified if a record appears to be missing from here.
     
    NONE 


    All qualifications and part qualifications registered on the National Qualifications Framework are public property. Thus the only payment that can be made for them is for service and reproduction. It is illegal to sell this material for profit. If the material is reproduced or quoted, the South African Qualifications Authority (SAQA) should be acknowledged as the source.