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Universidade Lusófona do Porto

Methods of Scientific Research and Data Analiysis I


The CU is essentially a laboratory nature and aims to remember, consolidate, and deepen the knowledge
acquired in the 1st Cycle of Studies in Psychology in the field of data analysis, and to teach students to
perform, interpret and write results of advanced analyzes, namely multivariate and factorial analyses.


Psychology of Justice

Level of Qualification|Semesters|ECTS

| Semestral | 3

Year | Type of course unit | Language

1 |Mandatory |Português



Recommended complementary curricular units

Statistics and laboratorial CUs

Professional Internship



PC1. Research quantitative methodology
1.1 Research aims and hypotheses
1.2 Data analyses methods
1.3 Results ¿ interpretation and writing
PC2. Statistical power and effect size
PC3. Univariate group comparisons
3.1 ANOVA and non-parametric alternative
PC4. Multivariate group comparisons
PC5. Regression analyses
5.1 Multiple and hierarchical
5.2 Logistic
PC6 Factorial analyses
6.1 Exploratory Factorial Analysis
6.2 Methodological introduction to Confirmatory Factor Analysis


LO1 Define research aims and hypotheses based on the quantitative research ¿ s assumptions
LO2 Perform analyses of statistical power and effect size interpreting analyses ¿ results
LO3 Perform analyses of univariate and multivariate group comparisons and interpretin g,
presenting and discussing the results
LO4 Perform regression analyses and interpreting, presenting and discussing the results
LO5 Examine the factorial structure of instruments through exploratory procedures
LO6 Recognize the methodological procedures of the confirmatory factor analyses

Teaching methodologies and assessment

Teaching methods have a laboratory nature and will be taught through the use of a variety of methods,
namely, ME1: Oral presentation with the support of audio-visual materials; ME2: Interactive dialogue;
ME3: Activities of small groups in the classroom; ME4: Bibliographic search. This assessment includes a)
individual brief reports about results¿ analyses, interpretation, and writing (20% each); 2) practical final
report that requires the integration of the different PC (40% in a group). The final evaluation results from
the average of all elements of evaluation. The approval of the curricular unit implies that the student does
not have a final evaluation lower than 9.5 values. Students who have a final evaluation of fewer than 9.5
values go to the appeal exam and the elements of evaluation with an evaluation of not less than 9.5 are
frozen and carry over to the weighting of the classification in the appeal exam.


Clark-Carter, D. (2018). Quantitative psychological research: The complete student's companion
(3rd Ed.). NY: Psychology Press.
Field, A. (2013). Dis covering statistics using SPSS (4 ª ed). London: Sage.
Maroco, J. (2017). An á lise estat í stica com o SPSS Statistics (7 ª ed). Lisboa: ReportNumber.
Martin, W. E. & Bridgmon, K. D. (2012). Quantitative and statistical research methods: From
hypothesis to results. San Francisco, CA: Wiley.
Martins, C. (2011). Man ual de an á lise de dados quantitativos com recurso ao IBM SPSS: Saber
decidir, fazer, interpretar e redigir. Braga: Psiquilibrios.
Miles, J., & Stucky, B. (2014). Quantitative research in psychology. London: Sage.

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