Degree | Type | Year | Semester |
---|---|---|---|
2500262 Sociology | OB | 2 | 1 |
It is recommended to have successfully completed the subject "Methodology and Design of Social Research" corresponding to the first course of the degree.
The subject is an introductory course for production techniques (collection) and basic analysis of data, focused on a quantitative perspective. The main objective is to offer the students the information and the capacity to apply the main methods and techniques of production and analysis of quantitative data used in the field of Quantitaive Sociology.
Specifically, the subject aims to build a learning process based on:
This subject gives continuity to the itinerary of methods and techniques. On one hand, it is a continuation of Methodology and Design previous course, in which the methodology and the logic the scientific research process in social sciences its presented. On the other hand, it is a course that is taught in parallel to the subject of qualitative methodology, and both are the prelude to the subject about "Analysis Methods" in the second semester.
PART I. THE DATA PRODUCTION
Topic 1. Introduction to the quantitative methodological perspective
1.1. Objectives of the subject, content program, course dynamics and evaluation
1.2. Introduction to the distributive or quantitative methodological perspective (experiments and surveys)
Topic 2. The survey
2.1. From the analysis model to the operativization of the concepts
2.1.1. Analysis model and analysis design
2.1.2. Research process and stages of the survey method
2.1.3. Operatization of concepts
2.1.4. The measure Concept and type of measure. Validity and reliability
2.2. General characteristics of the investigation by survey
2.2.1. Definition and characteristic characteristics of the survey
2.2.2. Types of surveys
2.2.3. The design of the sample
2.3. The construction of the questionnaire: the context of the statement
2.3.1. Types of questions
2.3.1. The formulation of the questions
2.3.3. Construction of stairs
2.3.4. Organization of the questionnaire: questions and discourse
2.4. Application of the questionnaire
2.4.1. Context of the statement: social situation and communication contract
2.4.2. Field work: organization and planning
2.5. Register of information
2.5.1. The data and the data matrix. Units and variables
2.5.2. The coding and recording of data
2.5.3 Identification of data in computer support
PART II. DATA ANALYSIS
Topic 3. Descriptive statistics in one variable
3.1. Analysis of statistical data
3.1.1. Statistics on Social Sciences: descriptive and inferential statistics.
3.1.2. Graphic representation: reference systems in the plane, linear functions-equation of a straight line, other functions
3.2. Descriptive statistics in one variable
3.2.1. Frequency distributions
3.2.2. Graphic representations of qualitative and quantitative variables
3.2.3. The central and non-central position characteristics
3.2.4. The dispersion characteristics
3.2.5. Shape features
3.2.6. Exploratory data analysis
Topic 4. Preparation of the data for the analysis
4.1. Control and verification of data
4.2. Transformation of variables
4.2.1. Recoding variables
4,2,2. Transformations of variables: position and dispersion. Standardized scores
4.2.3. Generation of variables: typologies, indexes, taxes
Topic 5. Inferential statistics
5.1. Sample and population. Random sampling
5.2. Elemental theory of probability
5.3. Statistical distributions: the Normal distribution, Student's T, khi-squared of Pearson and F of Fisher-Snedecor
5.4. Parameters and statistics: point and interval estimates
5.5. Confidence interval for the average and for the population ratio
5.6. Statistical hypothesis testing.
The information in the Catalan version of the Teaching Guide prevails over any other version.
The teaching and assessment methodology proposed in the guide may undergo some modification depending on the restrictions on attendance imposed by the health authorities.
The course is presented with a dynamic teaching and continuous learning, which implies tracking the rhythms of the course and the various contents that have been designed in accordance with the different scheduled activities.
The contents of the subject have a driver's thread linked to the research process and, therefore, the continuity of learning is justified by the progressive incorporation of concepts and instruments, as well as the resolution of problems and questions, and the assimilation and practice of each topic of the subject.
Given that, the objective of the training is that students learn to investigate sociology from a quantitative perspective, the teaching methodology and the training activities of the subject result from the combination of lecture sessions with problems solving exercises and classroom practices that allow to apply the acquired concepts, as well as tutorials of follow-up and autonomous work.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Master class | 38 | 1.52 | 1, 11, 9, 4, 5, 6, 7, 8, 10, 12, 17, 19 |
Practices in the classroom | 15 | 0.6 | 1, 3, 11, 9, 4, 5, 6, 7, 8, 10, 12, 17, 19 |
Type: Supervised | |||
Programmed tutorials programmed | 3 | 0.12 | 14, 13, 1, 3, 11, 9, 4, 5, 15, 6, 7, 8, 10, 12, 20, 17, 19 |
Type: Autonomous | |||
Individual preparation of written tests | 30 | 1.2 | 9, 4, 6, 7, 12, 17, 19 |
Reading of texts | 30 | 1.2 | 3, 11, 9, 4, 6, 7, 8, 10, 17, 19 |
Teamwork | 30 | 1.2 | 14, 13, 1, 3, 11, 9, 5, 15, 7, 8, 10, 12, 20, 17, 19 |
The subject will be assessed in two different parts, corresponding to Parts I and II of the syllabus.
- To pass the subject a minimum score of 5 out of 10 from each part is required.
- To pass each of the parts, the minimum required score is 4 of each activity: written tests, written exercises outside the classroom, and the reports on the research project.
The evaluation activities of each part are the following:
Assessment activities Part I (5 points)
+ 5% INDIVIDUAL: Exercises and practices carried out and delivered in class throughout the semester.
+25% INDIVIDUAL: Practical test of general evaluation of the first part of the subject on the main notions and statistical software.
+20% GROUP: Research work on a survey in relation to a research project.
Assessment activities Part II (5 points)
+ 5% INDIVIDUAL: Exercises and practices realized and delivered in the class.
+25% INDIVIDUAL: Written test that will evaluate the acquisition of basic notions and basic instruments transmitted to the subject.
+20% GROUP: Analysis (univariate), descriptive, exploratory and inferential, of the data of the survey in
relation to a research project.
The test, the research project and the exercises will have a recovery option. The recovery will imply that each assessment activity is scored above a maximum of 7.
The evaluation report will have the "non-presented" rating those people who have not performed any activity of evaluation.
Building the working groups:
- Only working groups of 4 or 5 people will be accepted.
- Only working groups with people in the same "enrollment group" (matricula) are accepted. A change of enrollment group can be made, if A) is requested during the first 2 weeks of the course to the Academic Management Service, B) it is approved, and C) it is comunicated to the teacher of the subject.
For the students of second andthird calls ("repeating" students)
- Class attendance or participation in practical activities is not compulsory.
- In accordance with rule 117.2 of the UAB Academic Regulations ("Article 117. Calls for evaluation") the evaluation of the whole subject can be the qualification of a single synthesis test that evaluates the learning outcomes provided in this teaching guide.
To qualify for this possibility, "repeating" students must contact the teacher at the very beginning of the course (up to one month from the official start) and they must commit themselves to being evaluated exclusively in this modality. In this case, no partial qualifications -obtained in previous courses- will be taken into account. The conditions and dates of this sinthesis test will be published at the course Virtual Campus web-space.
About plagiarism in academic work or written tests:
We kindly remind you that, at the time of signing up your enrollment, you committed yourself in the following sense: "I DECLARE that the Autonomous University of Barcelona has informed me that (...) Plagiarism is the act of publicizing, publishing or reproducing a work or part of it in the name of an author other than the authentic one, which implies an appropriation of the ideas created by another person without explicit recognition of their origin. This appropriation involves an injury to the intellectual property right of this person that I am not authorized to do in any case whatsoever the circumstance: exams, work, practices ... Therefore, I COMMITTEE to respect the provisions related to rights of intellectual property in relation to the teaching and / or research activity carried out by the UAB in the studies I am studying."
- In the event that any kind of plagiarism will be detected, the evaluation of the test, exam, individual or group assignement will be 0.
The information in the Catalan version of the Teaching Guide prevails over any other version.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
PART I. Group research project | 20 % | 0 | 0 | 14, 13, 1, 3, 2, 11, 9, 4, 5, 15, 6, 7, 8, 10, 12, 20, 16, 17, 18, 19 |
PART I. Individual test | 25 % | 2 | 0.08 | 14, 13, 1, 3, 2, 11, 9, 4, 5, 15, 6, 7, 8, 10, 12, 20, 16, 17, 18, 19 |
PART I. Practice exercises | 5 % | 0 | 0 | 13, 1, 3, 9, 4, 5, 6, 7, 8, 12, 20, 17, 19 |
PART II. Group research project | 20 % | 0 | 0 | 14, 13, 1, 3, 2, 11, 9, 4, 5, 15, 6, 7, 8, 10, 12, 20, 16, 17, 18, 19 |
PART II. Individual test | 25 % | 2 | 0.08 | 14, 13, 1, 3, 2, 11, 9, 4, 5, 15, 6, 7, 8, 10, 12, 20, 16, 17, 18, 19 |
PART II. Practical exercices | 5 % | 0 | 0 | 13, 1, 3, 9, 4, 5, 6, 7, 8, 12, 20, 17, 19 |
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Cea D’ancona, M. A. (1998) Metodología cuantitativa. Estrategias y técnicas de investigación social. Madrid: Síntesis.
Cea D’ancona, M. A. (2004). Métodos de encuesta. Teoría y pràctica, errores y mejora. Madrid: Síntesis.
Domínguez, M.; Simó, M. (2003). Tècniques d’Investigació Social Quantitatives. Edicions de la Universitat de Barcelona. Col·lecció Metodologia, 13.
Farré, M. (2005). Estadística: un curs introductori per a estudiants de ciències socials i humanes. Volum 1: Descriptiva i exploratòria univariant. Bellaterra (Barcelona): Universitat Autònoma de Barcelona. Col·lecció Materials, 162.
Fox, John (2017). Using the R Commander, CRC Press.
García Ferrando, M.; Ibañez, J.; Alvira, F. (1986) El análisis de la realidad social. Métodos y técnicas de investigación. Madrid: Alianza.
García Ferrando, M. (1994) Socioestadística. Introducción a la estadística en sociología. 2a edició rev. i amp. Madrid: Alianza. Alianza Universidad Textos, 96.
Hopkins, K. D.; Hopkins, B. R.; Glass, G. V. (1997). Estadística Básica para las ciencias sociales i del comportamiento. 3a ed. Naucalpan de Juárez : Prentice-Hall Hispanoamericana.
López-Roldán, P.; Fachelli, S. (2015). Metodología de la investigación social cuantitativa. Bellaterra (Barcelona): Dipòsit Digital de Documents, Universitat Autònoma de Barcelona. 1a. edición. http://ddd.uab.cat/record/129382
López-Roldán, P. (2015). Recursos per a la investigació social. Dipòsit Digital de Documents. Bellaterra (Barcelona): Universitat Autònoma de Barcelona. http://ddd.uab.cat/record/89349 | http://pagines.uab.cat/plopez
Quivy, R.; Campenhoudt, L. Van (1997) Manual de Recerca en Ciències Socials. Barcelona: Herder.
Rial, A.; Varela, J.; Rojas, A. J. (2001). Depuración y análisis preliminares de datos en SPSS. Sistemas informatizados para la investigación del comportamiento. Madrid: RA-MA.
Rojas, A. J.; Fernández, S.; Pérez, C. (1998). Investigar mediante encuestas. Fundamentos teóricos y aspectos prácticos. Madrid: Síntesis.
Sánchez Carrión, J. J. (1999). Manual de análisis estadístico de los datos. Madrid: Alianza. Manuales 055.
+ Digital resources (dossiers of practices, documents, links, ...), programming and the rest of the course information on the Virtual Campus.