Previous subjects regarding "Evaluation"

Knowledge: - Skills to design and developed applied research in different social sectors. - Management of methodology and basis technics of social sciences. - Technics skills to produce and to analysis quantitative and qualitative data. - Skills in sampling and field work. To know how to choose the techniques from social research (quantitative and qualitative) adjusted to the setting and the evaluation context. Learning: - Concepts and statistical techniques for human society. Capacities: - Design, used and read into social indicator. - To link knowledge of sociology and related sciences. - To adjusted evaluation questions to economic resources, time and human support. - To evaluate the programs, projects, public policies and social intervention and its results. - To promote the design of public policies drive to solve social problems. . - To design programs and projects of social intervention. - To analysis and synthesis. - To Information management. - Organization and planning. Skills: - Development of organizations (consulting, design and management of organizations and institutions). - Critical thinking. - Ethical commitment. - Interdisciplinary teamwork. - Decision making. - Skills and learning outcomes - Link to document

- To introduce the subject and link with previous subject ¿Development Evaluation of Programmes and Organizations¿. -Operationalization: from questions or criteria to indicators. Identification of indicators and standards. Indicators reordered and ad hoc. Different ways to fix standards. - To introduce techniques: surveys, secondary sources, observation, interview, focus group, life history other groups techniques and product and visual analysis and big data. - Impact Evaluation Design. To estimate effect. Attribution and contribution. * Randomized models: difference of differences, quasi-experimental: identification of comparison groups: PSM, time series, regression discontinuity and non-experimental models. * Statistical modelling: control of the third intervening variable (trivariate tables, standardization, averaged means). Multivariate analysis: multiple regression. - Data analysis: * Quantitative. Bivariate data mining: crosstabs, comparison of means, ANOVA and correlation. Multivariate data mining: multivariate regression. * Qualitative: discourse analysis and content analysis (Word cloud and big data...). * Mixed methods. - Interpretation. How to produce a data interpretation based in systematic approach or driven by program theory. - Possible analyzes in evaluation, methods and the correspondence with purposes: enlightenment, improvement and accountability.

- Professor explanation of the contents with the active participation of students through dynamic and workshops. This method relates primarily to the acquisition of knowledge and abilities. The students work whit a brief handbooks. These tasks are estimated in 3 ECTS. - Specific workshops (methodological options, discourse analysis and interpretation). The four workshops are conducting mainly with the assistance of the teacher in class time. This task is estimated in 3 ECTS. - Individuals or group tutorials. The professor gives support trough individuals o groups interviews.