
Received August 14, 2021 / Approved March, 23 2022 Pages: 102-118
eISSN: 2600-5743
In any evaluation, three basic questions must first be answered: what
do we want to evaluate? How are we going to evaluate? and Who will
be the evaluator?
Our object of study is to evaluate the Toda una vida National
Development Plan and its influence on the country's economic
development -what to evaluate-. In order to achieve this objective, a
mixed approach has been determined; on the one hand qualitative,
since it does not intend to explain structures, but to know the action,
that is, how the evaluation process has developed from the
perspective of those responsible for the evaluation, and on the other
deductive (Vásquez, 2008), since from the general considerations on
economic growth we intend to arrive at specific issues on structural
change or change in the national society.
A qualitative methodology is used to capture the origin, process and
nature of these meanings that emerge from the symbolic interaction
between individuals. From this symbolic interaction or interpretation that
individuals make of reality, a meaning shared by the participants is born.
This study is supported by various techniques to analyze a social
reality. As our object of study is complex and very broad, it was
proposed that as the research progresses, new realities will emerge.
For this reason, the open-ended interview was chosen.
Techniques to be used In accordance with the objectives set out, we
plan to use a quantitative-inferential approach based on econometric
techniques, with a view to finding the main behavioral relationships
and interrelationships of the variables.
In addition, the data will be standardized; standard deviations are
made in the series to make them stationary. Subsequently,
standardized time series of the variables to be studied are crossed.
Data Management; it will be carried out through the collection of
information, data processing.
Statistical analysis; it will be carried out through the construction and
analysis, data standardization, analysis of contingency tables,
construction of indicators, data analysis.
Results