Complementary Techniques of Data Analysis

Recommended Prerequisites

Knowledge acquired in the course of Research Methodology and Data Analysis

Teaching Methods

The following teaching methods are used:

- Theoretical presentations – when paired with the performance of small exercises by the students, the presentation of the topics mentioned in the syllabus becomes closer to the theoretical-practical classes model then the lectures model.

- Practical exercises – the set of 21 exercises presented by Alferes (1997 and associated website) aims to provide to the students an integrated approach of the methodological and statistical dimensions of psychological research.

Learning Outcomes

The main goal of this curricular unit is the development and improvement of the theoretical and practical skills necessary to the practice of scientific research in the psychological sciences, through the systematic study of the fundamental processes and specific planning strategies, analysis, interpretation and presentation of results.

Work Placement(s)

No

Syllabus

Following the curricular unit Research Methodology and Data Analysis, taught in the first semester, following procedures of data analysis are presented:

B4 – Multivariate models of interdependence (Principal component analysis, factorial analysis, correspondence analysis, multidimensional scaling and cluster analysis)

B5 – Structural Equational Modeling (SEM)

B6 – Multilevel Analysis

Head Lecturer(s)

Valentim António Rodrigues Alferes

Assessment Methods

Assessment continuous
Assessment continuous: 100.0%

Bibliography

Alferes, V. R. (1997). Investigação científ. em psicologia: Teoria e prática. Coimbra: Almedina.

American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washing., DC: Author.

Bickman, L., & Rog, D. J. (Eds.).(1998). Handbook of applied social research methods. Thousand Oaks, CA: Sage.

 

Crano, W. D., & Brewer, M. B. (2002). Principles and methods of social research (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.

Hoyle, R. H., Harris, M. J., & Judd, C. M. (2006). Research methods in social relations (8th ed.). Pacific Grove, CA: Wadsworth.

Kirk, R. E. (1995). Experimental design: Procedures for the behavioral sciences (3rd ed.). NY: Brooks/Cole.

Shadish, W. R., CooK, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton Mifflin.

Vogt, W. P. (2005). Dictionary of statistics & methodology: A nontechnical guide for the social sciences (3rd ed). London: Sage.