Guías Académicas

ADVANCED METHODS AND TECHNIQUES

ADVANCED METHODS AND TECHNIQUES

GRADO EN ESTUDIOS GLOBALES/GLOBAL STUDIES

Curso 2021/2022

1. Subject Information

(Date last modified: 02-06-21 9:58)
Code
109011
Plan
290
ECTS
6.00
Type
Compulsory
Year
2
Duration
First semester
Area
CIENCIA POLÍTICA Y DE LA ADMINISTRACIÓN
Departament
Derecho Público General
Virtual platform

Campus Virtual de la Universidad de Salamanca

Professor Information

Profesor/Profesora
Guillermo Enrique Boscán Carrasquero
Group/s
Único
Departament
Derecho Público General
Area
Ciencia Política y de la Administración
Centre
Fac. Derecho
Office
Espacio ACPA, Planta Jardín
Office hours
Under request by email
Web address
https://derecho.usal.es/staff/boscan-guillermo/
E-mail
gboscan@usal.es
Telephone
923 294 500 – Ext. 3510

2. Association of the subject matter within the study plan

Curricular area to which the subject matter pertains.

Mandatory (Obligatoria)

Purpose of the subject within the curricular area and study plan.

Mandatory (Obligatoria)

Professional profile.

Social researcher

3. Prerequisites

To review the knowledge learned in Methods and Techniques course.

4. Learning objectives

To introduce the student to the handling of different methods and techniques for the collection, processing, and interpretation of qualitative and quantitative data. The achievement of this objective will allow the student to carry out scientific research autonomously or, simply, to read and understand the works published by other researchers in their field of knowledge. Also, they will be able to properly establish relationships of association or causality between variables and address the possible prediction of future events.

5. Contents

Theory.

  1. An Introduction to Quantitative Analysis.
  2. Describing Data.
  3. Plotting Relationship and Conditional Distribution.
  4. Causation and Models of Causal Effects.
  5. Probability.
  6. Sampling Distribution and Inference.
  7. Statistical Tests for:
  • Associations
  • Differences between groups
  • Predictions
  • Data or dimension reduction

Practice.

To ensure the acquisition of each of the theoretical aspects listed, each topic is supported by a practical activity that includes the use of statistical data processing software.

6. Competences acquired

Basic / General.

CB2. That students know how to apply their knowledge to their work or vocation in a professional way and possess the skills that are often demonstrated through the development and defense of arguments and problem solving within your area of study.

CB3. Students have the ability to gather and interpret relevant data normally within their area of study of to make judgments that include a reflection on relevant social, scientific, or ethical issues.

CB4. To enable students to convey information, ideas, problems, and solutions to a specialized audience as unskilled.

CB5. Students have developed those learning skills necessary to undertake studies with a high degree of autonomy.

CG1 - Apply the knowledge acquired to solve specific problems in new or unfamiliar environments within of broader (or multidisciplinary) contexts.

CG2 - To know and apply the different research methods in the field of social sciences to analyze problems in relation to their specialty.

Specific.

CE19 - Mastering advanced political and social research techniques and operating with research data quantitative and/or qualitative

Transversal.

Critical thought.

Develop capacity to collect and analyze raw data.

Ability to understand and interpret scientific research results.

7. Teaching methods

Practical sessions at the computer lab and applied homework.

8. Anticipated distribution of the use of the different teaching methods

9. Resources

Reference books.

Basic text book:

Dietz, T., & Kalof, L. (2009). Introduction to Social Statistics: the logic of statistical reasoning. John Wiley & Sons.

Additional References:

Box-Steffensmeier, Janet M., Henry E. Brady, and David Collier, eds. (2010). The Oxford Handbook of Political Methodology. 1 edition. Oxford New York: Oxford University Press.

Imai, K. (2018). Quantitative Social Science: An Introduction. Princeton: Princeton University Press.

Martin, J. L. (2017). Thinking through methods: A social science primer. University of Chicago Press.

Morton, R. (1999). Methods and Models: A Guide to the Empirical Analysis of Formal Models in Political Science. Cambridge: Cambridge University Press.

Osborne, J. W. (Ed.). (2008). Best practices in quantitative methods. Sage.

Spiegelhalter, D. (2019). The art of statistics: learning from data. Penguin UK.

Theobald, O. (2017). Statistics for Absolute Beginners: A Plain English Introduction. Scatterplot Press.

Tokunaga, H. T. (2018). Fundamental statistics for the social and behavioral sciences. Sage Publications.

Wheelan, C. (2013). Naked statistics: Stripping the dread from the data. WW Norton & Company.

10. Assessment

General considerations.

The evaluation aims at verifying the advance of students during the entire semester. The knowledge taught is progressive. It ranges from the simplest to the most complex items.

Assessment criteria.

The final grade will be the sum of all the practices carried out during the course (70%).

 A final research report on the application of any of the methods or techniques learned during the course (30%).

Assessment tools.

The instruments used for the configuration of the practices are:

  • Preparation of reports where the techniques learned are applied in the processing of real data and where various research questions are answered.
  • Conducting short tests on the Studium platform to verify the knowledge acquired.

Assessment recommendations.

Attend classes, follow the course closely trying to achieve the objectives in each unit and practice at home.

Guidelines in the case of failing the subject.

All content will be evaluated in the second call. It will consist on a research paper where the student will have to demonstrate that he or she has acquired all the skills of the course. Grades from previous exercises, such as reports or tests, will not be considered at this stage.

11. Weekly teaching organization