M1 - Learner Manual

1.18. Hypothesis Generation and Testing

It’s acknowledged that the Aboriginal and Torres Strait Islander population is not homogeneous as there is considerable diversity across the country. Therefore, what proved to be successful in one community’s program or project, may not be successful in another. It’s a possibility that research needs to be undertaken into such matters and possible solutions identified, implemented and reviewed. Programs that were successful may be reviewed to determine why they were so effective.

A ‘hypothesis’ (the plural form is ‘hypotheses’) is a proposed explanation for a phenomenon. For a hypothesis to be a scientific hypothesis, the scientific method requires that one can test it. Hypothesis generation is largely explaining something based on information obtained. Therefore, someone can be said to generate a hypothesis based on the information that they have found, and they create meaning from this information.

The ABS uses statistics collected in the Census to generate hypotheses. This makes participating in the Census important for social and economic planning. Reports such as the Bringing Them Home Report developed by the Human Rights and Equal Opportunity Commission, Australia, as well as the Closing the Gap Report document the Government’s response and proposed actions to improving Indigenous health and well-being. The outcomes from such reports are then used as a benchmark for future programs and policies.

Accordingly, hypothesis generation and testing may be a process that will help determine reasons for the respective outcomes of the programs or projects.

An example of hypothesis generation and testing within a community’s chronic disease program could be that of a diabetes program.