Anticipated Conclusions: Difference between revisions
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Based on observations of the use of an assessment technique by its user and measurements of the variables’ indicators over time, it is possible to validate or reject the hypotheses. The validation conditions for the hypothesis are specified below<ref>See [[Hypotheses Formulation | here to learn more about how the hypotheses]], and [[ Hypotheses Criteria| here about the criteria being used to define them.]]</ref>. | Based on observations of the use of an assessment technique by its user and measurements of the variables’ indicators over time, it is possible to validate or reject the hypotheses. The validation conditions for the hypothesis are specified below<ref>See [[Hypotheses Formulation | here to learn more about how the hypotheses were built]], and [[ Hypotheses Criteria| here about the criteria being used to define them.]]</ref>. | ||
To test the general framework, the antecedent variables must be specified and measured, such as the user's role, the technique used, the company, and the publisher's distribution model for the assessment technique<ref>[[Indicators and Their Measurement | The indicators and measurements are discussed here in this article.]]</ref>. | To test the general framework, the antecedent variables must be specified and measured, such as the user's role, the technique used, the company, and the publisher's distribution model for the assessment technique<ref>[[Indicators and Their Measurement | The indicators and measurements are discussed here in this article.]]</ref>. | ||
Revision as of 22:11, 10 December 2025
Introduction
Based on observations of the use of an assessment technique by its user and measurements of the variables’ indicators over time, it is possible to validate or reject the hypotheses. The validation conditions for the hypothesis are specified below[1].
To test the general framework, the antecedent variables must be specified and measured, such as the user's role, the technique used, the company, and the publisher's distribution model for the assessment technique[2].
With the first framework, the focus was on leaders and managers; the assessment technique used was a factor approach, in the same category of techniques assessing social behavior as the GRI technique. The tested environments were two companies called Qualibank and Posini[3].
Other hypotheses can be added using the same methodology, leveraging the variables and indicators already defined. The hypotheses and anticipated conclusions presented below for the general framework apply similarly to the first framework designed in Step 1.