1540.0 - Quality Management of Statistical Processes Using Quality Gates, Dec 2010  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 23/12/2010  First Issue
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  • ABS Statistical Risk Assessment Framework (Appendix)

APPENDIX ABS STATISTICAL RISK ASSESSMENT FRAMEWORK


The ABS Statistical Risk Assessment Framework can be used in several ways to assist in the development of quality gates for a statistical process. The Statistical Risk Assessment Framework can be used to assist in assessing the level of risk to the process, statistical outputs, and organisation of a particular situation occurring. It can also assist with the "action" that should be taken if a quality gate is failed.

The Statistical Risk Assessment Framework cross classifies the levels of "Likelihood" (chance of the risk occurring) and "Consequence" (effect on the immediate process or statistical outputs of the risk occurring) to reveal an overall assessment of the risk which could be either Low (L), Moderate (M), High (H) or Extreme (E) to help with decision making.

Diagram: ABS Statistical Risk Assessment Framework

Rating Risk Level
Level Detail Description
E Extreme risk - a quality gate is required.
H High risk - a quality gate is required.
M Moderate risk - an additional quality measure(s) to an existing quality gate may be adequate for mitigating the risk of error rather than the creation of a new quality gate.
L Low risk - generally taken care of by normal routine operations. However, check to make sure that a quality measure for monitoring purposes does exist in a quality gate.

Consequences
Descriptor Detail Description
Insignificant The issues to the process can be dealt with through routine maintenance. There would be no consequences to the overall organisation.
Minor The issues would threaten the efficiency or effectiveness of some aspects of the process but can be dealt with internally. There would be no consequences to the overall organisation.
Moderate The issues would not threaten the statistical output, but could cause delays in the process. There may be some timeliness issues which may impact on the reputation of the organisation.
Major The issues would threaten the survival of the statistical collection or the continuation of the process, or require the intervention of top level management. The risk of the issues seriously threatening the credibility or reputation of the organisation would be high.
Severe The issues would threaten the survival of not only the process but the organisation. The risk of the issues seriously threatening the credibility or reputation of the organisation would be extremely high.


Likelihood
Descriptor Example Detail Description
Almost Certain Expected to occur in most circumstances
Likely Will probably occur in most circumstances
Possible Will occur at some time
Unlikely Could occur at some time
Rarly May occur only in exceptional circumstances


The ABS maintains ownership of this Statistical Risk Assessment Framework and reserves the right to update the framework as part of an ongoing commitment to continuous quality improvement.