Advanced Data Analysis

Code:

MSOCI001

Acronym:

ADA

Instance: 2016/2017 - 2S

Active?	Yes
Responsible unit:	Department of Sociology
Course/CS Responsible:	Masters in Sociology

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MSOCI	37	MSOCI - Study Plan	1	-	6	52	162

Teaching language

Portuguese

Objectives

Objectives - To address advanced issues in quantitative and qualitative analysis. - To explore sampling techniques in quantitative and qualitative research designs. - To implement data collection techniques in quantitative and qualitative research designs. Skills - Proficiency in articulating the main theoretical and methodological elements of quantitative and qualitative research designs. - Proficiency in the use of data collection techniques and data analysis procedures in quantitative and qualitative research designs. - Proficiency in collecting, selecting and analyzing information. - Ability to work alone and as part of a group.

Learning outcomes and competences

1. Sound domain of the epistemological, methodological and theoretical quantitative and qualitative research procedures;

2. Ability to build and apply techniques for the collection and processing of qualitative and quantitative information;

3. Ability to search, select and process information.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Not applicable.

Program

I. Quantitative methods in sociological research 1. Advanced sampling theory 2. Analysis of secondary data 3. Advanced issues in multivariate analysis and causality in Sociology.

II. Qualitative methods 1. Principals and applications in qualitative research. 2. Qualitative sampling.4.  Biographies, interviews and focus groups.5. Content analysis and discourse analysis 6. Validating and writting down qualitative research.

III. Mix methods: perspetives of integration

 

Mandatory literature

Albarello, Luc et al. (Ed.) ; Práticas e métodos de investigação em ciências sociais, Gradiva, 1997
Arminger, Gerhard 340; Handbook of statistical modeling for the social and behavioral sciences. ISBN: 0-306-44805-X
Holliday, Adrian ; Doing and writing qualitative research, Sage, 2002
Norman Denzin & Yvona Lincoln; Strategies of qualitative inquiry, Sage, 1998
M. H. Pestana & J. Gageiro; Análise de dados para as Ciências Sociais - a complementaridade do SPSS, Edições Sílabo, 2000
Reis, E. ; Estatística multivariada aplicada, Sílabo, 2001
Uwe Flick; Métodos qualitativos na investigação científica, Monitor - Projectos e edições, 2002

Complementary Bibliography

Hubert Blalock; Social Statistics, McGraw-Hill, 1985
Valerie Janesick; Stretching Exercises for Qualitative Researchers, Sage, 1998
Elizabeth Reis; Estatística multivariada aplicada, Edições Sílabo, 1998
Brian Roberts; Biographical research, Open University Press, 2002
P. Vicente & E. Reis & J. Ferrão; Sondagens: a amostragem como factor decisivo de qualidade, Edições Sílabo, 1996
Clive Seale; The quality of qualitative research, Sage, 1999
Uwe Flick; Qualitative research - state of the art in Social Science Information, 41 (1), pp.5-24, 2002
Idalina Conde; Problemas e virtudes na defesa da biografia in SOciologia - Problemas e Práticas, nº13, pp. 39-57
David Silverman; Interpreting qualitative data: methods for analysing talk, text and interaction, Sage, 1993
Pierre Bourdieu; L'ilusion biographique in Actes de Recherche en Sciences Sociales, nº 62/63, pp.69-72
Uwe Flick; An introduction to qualitative research, Sage, 1998
Daniel Bertaux; Les récits de vie. Perspective Ethnosociologique, Nathan, 1997
Amanda Coffey & Paul Atkinson; MAking sense of qualitative data. Complementary research strategies, Sage, 1996
M. Bauer; George Gaskell; Qualitative Researching with text, image and sound. A pratical handbook for social research, Sage, 2000
Robert Atkinson; The life story interview, Thousand Oaks, 1998
Tom Richards & Lyn Richards; Using computers in qualitative research in Denzin & Lincoln (eds.) Collecting and Interpreting Qualitative Materials, pp.211-245, Sage, 1998

Comments from the literature

Students will have access to materials for the course in the e-learning platform.

Teaching methods and learning activities

Lectures and workshop/seminar sessions. Lectures on the topics of the course outline. Lectures will be combined with group discussions and presentation of practical examples, with a focus on the portuguese reality. Seminar sessions are organized according to a previously defined calendar of tasks. They involve group work and debates on the results achieved, with the teachers and the peers.

Software

SPSS 22.0

keywords

Social sciences > Sociology > Socio-economic research

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	10,00
Teste	25,00
Trabalho de campo	45,00
Trabalho laboratorial	20,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	50,00
Frequência das aulas	54,00
Trabalho de investigação	28,00
Trabalho laboratorial	30,00
Total:	162,00

Eligibility for exams

The assessment includes the following elements: - A report of data analysis; - A practical test on the contents taught in the quantitative module; - A practical essay on the contents taught in the qualitative module; - Attendance of classes. All elements of the coursework are compulsory, for all students.

Calculation formula of final grade

The final grade results from the following elements, with the respective weights: - A practical test, performed in the computer lab about the quantitative module - 25% - A practical essay about the qualitative module - 25% - Report of quantitative data analysis - 20%; Qualitative essays-20%  - Attendance of classes - 10%

Examinations or Special Assignments

Not applicable.

Internship work/project

Not applicable.

Special assessment (TE, DA, ...)

Acording to school's regulations.

Classification improvement

Not applicable.