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

K2: To know of basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile. K5: To know the basic components of cultural differences and social inequalities. K8: Identify the objectives of social and political analysis as well as the populations subject to social research K9: Understand and synthesize the plurality of approaches and concepts of the subdisciplines linked to sociology. S1: To know of basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile. S2: Use information interpreting relevant data avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to assess the reliability and quality of such information. S3: Identify and apply interpersonal skills on responsibility, negotiation and emotional intelligence. S4: Demonstrate good communication and ability to work in multidisciplinary and international environments. S5: Develop personal autonomy in the work and professional sphere in order to identify one's own learning needs. S6: Compose and write speeches following a logical order, providing accurate information and in accordance with the different established standards. S7: Apply the knowledge acquired to identify the sociological perspective in the analysis of social, political and economic processes. S8: Know the tools and instruments of application in the field of sociological analysis in the company S9: Be able to formulate, debate and defend critical reasoning, using precise terminology of the discipline and methodologies of the discipline. S10: Be able to manage, identify, gather and interpret relevant information on the economic, political and social field of teaching and research. C1: Know and be able to handle interpersonal skills on initiative, responsibility, conflict resolution, negotiation, etc., which are required in a professional environment. C4: Analyze and evaluate public and social intervention policies.

- 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.