- To introduce the subject and link with previous subject¿Development Evaluation of Programes and Organitations.
-operationalization: from questions or criteria to indicators. Identification of indicators and standars. Indicators reordered and ad hoc. Different ways to fix standars.
- To introduce techniques: surveys, secondary sources, observation, interview, focus group, life history, others gruop techniques and product and visual analysis.
- Impact Evaluation Design. Methodological options to estimate net effect: experimental desing, cuasiexperimental and noexperimental. Statistical modeling: standardization and regression.
- Data analysis: Quantitative: bivariate data mining. Multivariate data mining: multivariate regression, ANOVA and ANCOVA. Qualitative: discourse analysis. Mixed methods.
- Interpretation. How to produce a data interpretation based in systematic approach or driven by program theory.
- The analyzing of evaluation methods and the correspondence whit proposes: enlightenment, improvement and accountability.
- To identify recommendations
Analysis and classification of evaluation¿s models: PISA, ACB, EFQM-TQM, CIPP (Stufflebeam), trial (Wolf). .
Análisis y clasificación de modelos de evaluación: Informe PISA, ACB, EFQM, CIPP, judicial,