Checking date: 04/04/2025 09:53:48


Course: 2025/2026

Statistics for social sciences II
(13025)
Bachelor in Sociology (Study Plan 2018) (Plan: 402 - Estudio: 208)


Coordinating teacher: KAISER REMIRO, REGINA

Department assigned to the subject: Statistics Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Estadística Aplicada a las Ciencias Sociales 1
Objectives
In today's world there is an enomous amount of available information. There are diverse sources and many of them are accessible through the Internet. To analyze this information and draw valid conclusions we need to use some specific techniques. Statistics is the most widely used and the most successful technique. In this course we will learn how to obtain information from the data with techniques that you will use both in your studies and in your professional career, because these techniques are commonly used by most companies and organizations. Today a statistical analysis is inconceivable without computer resources. Therefore the teaching of Statistics will rely heavily on computer practices and a part of the final exam will be held in a computer classroom. After completing this course, you should be able to extract information from the data and to express those conclusions in a written report. Also, you can establish relationships between variables using the regression model and to interpret the model properly
Learning Outcomes
K6: Know and value the economic, temporal and human resources available for sociological research. 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. S5: Develop personal autonomy in the work and professional sphere in order to identify one's own learning needs. 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. S11: Knowledge of quantitative and qualitative research techniques, and the ability to discern the most appropriate ones to apply in the specific field of the discipline. C1: Know and be able to handle interpersonal skills on initiative, responsibility, conflict resolution, negotiation, etc., which are required in a professional environment. C2: Know and apply sampling and field work techniques for the different fields of sociological research C3: Possess skills and abilities in developing, using, and interpreting social indicators and social measurement instruments
Description of contents: programme
1.Bivariate description and chi-square statistic. 2. simple and multiple Regression analysis. 3. Hypotesis testing 3.1. Population mean 3.2 Difference of means for two populations 3.3. One proportion 3.4. Difference of proportions 3.5. ANOVA 4. Logit model 4.1. Introduction 4.2.MCO problems with dependent cualitative variables 4.3. Estimation and inference. 4.4. Interpretation and probabilities. 5. Practical Statistical analysis of surveys. Download and analysis of CIS surveys. (With SPSS)
Learning activities and methodology
Theory (4ECTS). Lectures with support material available via web. Practices (2ECTS) Classes in computer classroom. Debates.
Assessment System
  • % end-of-term-examination/test 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50

Calendar of Continuous assessment


Extraordinary call: regulations
Basic Bibliography
  • Downie, N.H. y Heath, R.W. (1983).. Métodos Estadísticos Aplicados.. Editorial Del Castillo..
  • Mateo Rivas, M.J. (1985).. Estadística en Investigación Social.. Editorial Paraninfo..
  • Peña, D. (1991).. Estadística Modelos y Métodos. Tomo I, Fundamentos.. Alianza Universidad Textos..
  • Peña, D. y Romo, J. (1997).. Introducción a la Estadística para las Ciencias Sociales.. McGraw-Hill..
  • Sierra Bravo, R. (1992).. Técnicas de Investigación Social, Teoría y Ejercicios.. Editorial Paraninfo..

The course syllabus may change due academic events or other reasons.