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ISCTE-IUL  >  Education  >  MPCPCJR , MPRI , MPSS

Advanced Data Analysis Methods (2 º Sem 2016/2017)

Code: M8205
Acronym: M8205
Level: 2nd Cycle
Basic: No
Teaching Language(s): Portuguese, English
Friendly languages:
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1 6.0 0.0 h/sem 20.0 h/sem 6.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 1.0 h/sem 27.0 h/sem 123.0 h/sem 0.0 h/sem 150.0 h/sem
Since year 2016/2017
Pre-requisites None
Objectives The main objective of this course is to present dependency methods which combine two analytical dimensions in social sciences.
Complex designs of models with moderation and mediation effects are analysed. Thus, applications are made using Multiple Linear Regression and Logistic Regression.
The presentation of different methods also involves a more practical/empirical component, constructing analysis situations with the support of statistical software (SPSS).
Program 1. Moderator and mediated models
1.1. Moderated effect: interaction effect
1.2. Mediated effect: chaine of effects
1.3. Exploring papers with moderation and mediation models
2. Modelling moderation using OLS regression
2.1. OLS with main effects and interaction effect
2.2. Quantitative moderator
2.3. Categorical moderator
2.4. Applying software(SPSS and ModGraph)
2.5. Presenting results in a paper
3. Modelling mediation by OLS regression
3.1. Modelling with quantitative mediator
3.2. Modelling by parametrics methods (Baron & Kenny steps and Sobel test)
3.3. Partial and complete mediation
3.4. Applying software statistics (SPSS and MedGraph)
3.5. Presenting results in a paper
4. Modelling by Logistic Regression
4.1. Exploring the model
4.2. Assumptions
4.3. Model parameters
4.2. Applying with software
4.3. Presenting results in a paper
Evaluation Method The periodic evaluation includes:
1. One individual test (65%)
2. A group assignment (35%).

Students must obtain a minimum grade of 7.5 on the individual test and 10.0 on the group assignment.

The evaluation can be made through a final examination with the same components as the periodic evaluation.
Teaching Method Individual study, based on the suggested bibliography, will be oriented and supported by lessons of different kinds:
1. Theory practice lessons: conceptual approach of methods. Various examples are also presented and discussed (articles and reports with data analysis);
2. Laboratory lessons: these sessions allow students to apply the different methods using SPSS. In this kind of lessons students prepare the analytical results for an analysis report or a paper format.
Observations In addition to the bibliography other material is also necessary for theory practice lessons and laboratory sessions. This additional material is available on the e-learning platform. This platform is also used to post information essential to students such as: notices from the teaching staff, material for student evaluation, scientific articles, etc.
Basic Bibliographic Baron, R e Kenny D. (1986). The Moderator-Mediator Variable Distinction in Social Psychological research: Conceptual, Strategic and Statistical Considerations, Journal of Personality and Social Psychology, 51, 1173-1182.
Frazier, P. A., Tix, A. P. e Barron, K. E. (2004). Testing moderator and mediator effects in counselling psychology research. Journal of Counselling Psychology, 51(1), 115-134.
Hayes, A. F. (2012). PROCESS: a versatile computational tool for observed variable mediation, moderation, and conditional process modeling.
MacKinnon, D. P., Fairchild, A. J. e Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593-614.
Maroco, J. (2010). Análise Estatística com o PASW Statistics (ex-SPSS), Pero Pinheiro.
Pampel, F. (2000). Logistic Regression, Sage Publications.
Passos, A. e Caetano, A. (2005). Exploring the effects of intragroup conflict and past performance feedback on team effectiveness, Journal of Managerial Psychology 20, 3/4, 231-244.
Complementar Bibliographic Aiken, L., Stephen G. (1991). Multiple Regression: Testing and interpreting interactions, Newbury Park, Sage publications.

Calheiros, M. M. (2006). A construção social do mau trato e negligência: do senso-comum ao conhecimento científico. ed. 1, ISBN: ISBN 972-31-1132, Coimbra: Fundação Calouste Gulbenkian/Fundação para a Ciência e Tecnologia. Imprensa de Coimbra Lda.

Cohen, J., Cohen P., West S. e Aiken L. (2003). Applied Multiple Regression/Correlation. Analysis for the Behavioral Sciences, Mahawh: Laurence Erlbaum, 3ª ed.

Hair, J., Black, W. Babin, B. e Anderson, R. (2009). Multivariate Data Analysis, 7ª ed., Prentice-Hall International, Inc.

Preacher, K. J. e Hayes, A. F (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models, Behavior Research Methods, 40 (3), 879-891, http://quantpsy.org/pubs/preacher_hayes_2008b.pdf.

Tabachnick, B. e Fidell, L. (2006). Using Multivariate Statistics, USA, Person International Edition, 5ª.

Important links:

Kenny, D. A. (2011). Moderation http://davidakenny.net/cm/moderation.htm
Kenny, D. A. (2012). Mediation, http://davidakenny.net/cm/mediate.htm

Jose, P.E. (2013). ModGraph-I: A programme to compute cell means for the graphical display of moderational analyses: The internet version, Version 3.0. Victoria University of Wellington, Wellington, New Zealand. Retrieved [date] from http://pavlov.psyc.vuw.ac.nz/paul-jose/modgraph/

Jose, P. E. (2013) MedGraph-I: A programme to graphically depict mediation among three variables: The internet version, version 3.0. Victoria University of Wellington, Wellington, New Zealand. Retrieved [date] from http://pavlov.psyc.vuw.ac.nz/paul-jose/medgraph/

On-line data bases:

The European Social Survey (ESS): http://www.europeansocialsurvey.org/.