Evaluation Models

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Evaluation Models

Instruments and techniques in the evaluation models

No se trata de acumular información, sino de elegir lo que realmente es útil.

The choice of techniques should be logical and in accordance with the evaluation model

Semi-formalized models

They seek to observe the historical behavior of variables and compare them with the project and analyze changes over time

These include

Model after

Aplicable a proyectos comunitarios, ONG o gobiernos locales donde no hay línea de base.

Only what happened after the project is recorded, without prior measurement

Model after with comparison group

Independent variables are statistically controlled at the end of the project.

No baseline, but comparison with another group or parallel intervention.

Non-experimental before and after model

If there is no previous measurement, it can be estimated with retrospective questions.

A variable is measured before and after the intervention

Formalized models

They are based on the systematization and rigorous control of variables and seek internal validity and replicability.

Regression Model

Requires a robust database and a sound theoretical model

Use statistical techniques to control variables

Quasi-experimental Model

Comparable but not equivalent groups are worked with

No random selection of groups

Experimental Model

Uses an experimental group and a control group in closed settings e.g. hospitals, schools, etc.

The evaluator manages the experimental conditions

Global models

Are based on interpretive paradigms

Among them we can distinguish

Expert evaluation model

It is based on the evaluator's accumulated experience and critical sensitivity.

Uses concepts such as referential adequacy and structural corroboration

Illuminative evaluation model

Describes how the actors live and interpret the project

Fits the meanings that emerge during the evaluation

Focused utilization model

Involve leaders and users of information throughout the process.

Choose methods according to utility

CIPP Model

Provide useful information at all stages of the project.

Evaluated from planning to final results

Analytical models

In the models are

Cost effectiveness

Selects the most economically efficient alternative, comparing unit or total costs for the same benefit.

Evaluates whether the project generates real effects on the target population, beyond the economic benefit.

Cost-benefit

It is based on the quantification and comparison of updated costs and benefits.

Comparison, indicators such as VAN, TIR, among others, emerge.

It is related to epistemological and explanatory paradigms.

Follows the deductive method

Privileges statistical analysis

Uses measurement instruments such as the survey

Establishes rules of behavior

Uses quantitative information

Provides explanation based on related theories

Studies observable phenomena

Scientific credibility is based on internal validity.