ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 99 Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 150
Use languages Galician (0.00%)
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Center Faculty of Communication Science
Call: First Semester
Teaching: Sin Docencia (En Extinción)
Enrolment: No Matriculable (Sólo Planes en Extinción)
This course focuses on the study of statistical methods and their practical application in communication research. It provides an introduction to basic statistical knowledge and techniques for preparing numerical and qualitative reports and summaries. Topics covered include data analysis, descriptive summaries, relationships between variables, sampling, time series data, index numbers, rate of changes, and more. The course also explores how statistics are used in media and the main statistical operations applied to communication. Additionally, it examines the potential of statistics in handling big data through various applications and emphasizes the interpretation of statistical results. Students will gain practical skills in applying statistical methods to communication research and analyzing data collected from media and various platforms.
Specific objectives of the course include:
- Presentation of data in the media and the use of statistical language.
- Calculation and summarization of numerical and qualitative information.
- Statistical analysis of information.
- Utilizing computer software for obtaining statistical results.
- Obtaining accurate statistical information and understanding its sources.
- Interpretation of reports and data for media analysis and interpretation.
IMPORTANT NOTE: Students enrolled in this subject do not have the right to receive instruction starting from the 2022-2023 academic year, as the subject has been discontinued. However, they are still eligible to take the exam based on the content covered in the 2021-2022 academic year.
Unit 1. INTRODUCTION.
1.1: Introduction to the concept of Statistics
1.2: General concepts of Statistics
Unit 2. UNIVARIATE SERIES ANALYSIS
2.1. Tabulation of variables and frequency distributions
2.2: Graphical representations
2.3: Measures of central tendency
2.4: Measures of dispersion
2.5. Measures of shape and concentration
Unit 3. MULTIVARIATE ANALYSIS. RELATIONS
3.1. Bivariate distributions. Tabulation
3.2: Graphical representations
3.3: Relationships between variables. Independence
3.4: Correlation and association
Unit 4. INDEX NUMBERS
4.1. Key rates of changes
4.2. Simple and composite indexes.
4.3. Change of base.
4.4. Prices, quantities and value indices
4.5. Deflation.
4.6. Consumer Prices Index. Other indicator.
Unit 5. TIME SERIES
5.1. Descriptive modeling of a time series
5.2. Components of a time series
Unit 6.- SAMPLING
6.1. Introduction to sampling.
6.2. Main sampling techniques
6.3. Applications. Major surveys.
Unit 7.- STATISTICS AND AND INFORMATION TECHNOLOGY TOOLS
7.1. Statistical software packages
7.2. Sources of statistical information (IGE, INE, Eurostat, MC Yearbook, AIMC...)
BASIC
JAUSET, J. (2007). Estadística para periodistas, publicitarios y comunicadores : aplicaciones de los porcentajes y diseño e interpretación de encuestas : 110 ejercicios y cuestiones prácticas Editorial UOC.
PEÑA, D., ROMO, J. (2003). Introducción a a la estadística para las ciencias sociales. Ed. McGraw Hill.
PÉREZ, C. (2002) Estadística aplicada a través de Excel. Pearson Educación, Madrid.
PORTILLA, I. (2004) Estadística descriptiva para comunicadores: aplicaciones a la publicidad y las relaciones públicas. EUNSA, Navarra
COMPLEMENTARY
FERNÁNDEZ CUESTA, C. FUENTES GARCÍA, F. (1995) Curso de Estadística Descriptiva. Teoría y práctica. Edit. Ariel, Barcelona
GONICK, L., SMITH, G. (2001). A estatística ¿en caricaturas!. SGPEIO.
JAUSET, J. (2000). La investigación de audiencias en televisión. Fundamentos estadísticos. Edit. Paidós
MARTIN-GUZMAN, P., MARTIN-PLIEGO, F.J. (1987) Curso básico de Estadística Económica. Edit. Ariel
NEWBOLD, P. (2001) Estadística para los Negocios y la Economía, Editorial Prentice--Hall, Madrid.
PULIDO SAN ROMAN, A. (1984) Estadística y técnicas de Investigación Social. Ediciones Pirámide S.A.
SIERRA, R. Técnicas de investigación social. Madrid: Paraninfo, 1994
TANUR, J.M. et al.(1992) La Estadística: Una guía a lo desconocido. Edit. Alianza Editorial.
WIMMER, R., DOMINICK, J. (1996). La Investigación científica de los medios de comunicación : una introducción a sus métodos. Ed. Bosch. Barcelona.
WIMMER, R., DOMINICK, J. (2001). Introducción a la investigación en medios masivos de comunicación. International Thomson Editores 2001.
GENERAL:
- Training in Social Sciences, Humanities, and Science and Technology to provide a basic contextual competence of a transdisciplinary nature.
- Completion of practical work and professional experimentation and innovation, along with an introduction to methodology and applied analysis for the initiation of research in the informational-communicative field.
- The ability for students to apply their knowledge to their work or vocation in a professional manner and possess the competences typically demonstrated through argumentation and problem-solving within their field of study.
- The ability for students to gather and interpret relevant data (usually within their field of study) to make judgments that include reflection on social, scientific, or ethical issues.
- The ability for students to convey information, ideas, problems, and solutions to both specialized and non-specialized audiences.
- The development of learning skills necessary for further studies with a high degree of autonomy.
- Basic contextual competence of a transdisciplinary nature.
- Contextual competence to situate audiovisual communication in the information society.
- Competence to practice the profession with professional ethics and civic commitment.
SPECIFIC:
Specialist in research and analysis of current and prospective communication and communication processes and phenomena, trained for the tasks of mediation, counseling, consulting and measurement
- Specialization in research and analysis of current or prospective communication phenomena and processes, capable of tasks such as mediation, consultancy, and measurement.
- Training necessary for the interpretation of statistical reports.
- Preparation for the professional competences of a distributor and exhibitor of audiovisual works.
- Acquiring the necessary skills for the interpretation of statistical reports.
- Capability for the management of companies related to the audiovisual sector.
- Knowledge of techniques necessary for the professional development of audiovisual product programming.
TRANSVERSAL:
- Capacity for organization and planning.
- Information management skills.
- Teamwork.
- Autonomous learning.
- Creativity.
- Initiative and entrepreneurship.
IMPORTANT NOTE: Students enrolled in this subject do not have the right to receive instruction starting from the 2022-2023 academic year, as the subject has been discontinued. However, they are still eligible to take the exam based on the content covered in the 2021-2022 academic year.
As the subject is being discontinued, the Virtual Campus will serve as a resource platform where study materials for the subject will be provided.
Although there will be no formal teaching for this subject, students can request tutorials exclusively for clarifying any doubts that may arise during their preparation for the final exam. These tutorials can be conducted either in person or remotely through MSTeams.
IMPORTANT NOTE: Students enrolled in this subject do not have the right to receive instruction starting from the 2022-2023 academic year, as the subject has been discontinued. However, they are still eligible to take the exam based on the content covered in the 2021-2022 academic year.
The final exam for this subject holds a maximum score of 10 points and will be conducted in person on the designated dates determined by the Faculty.
This subject has 6 ECTs
Mathematical language is essential for the development of this subject. Students need to acquire the necessary tools for accurate interpretation of information.
Maria Luisa Chas Amil
- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- Phone
- 881811549
- marisa.chas [at] usc.es
- Category
- Professor: University Lecturer
| 01.08.2024 16:00-20:00 | Grupo de examen | Classroom 6 |
| 06.10.2024 10:00-14:00 | Grupo de examen | Classroom 5 |