| Code |
14850
|
| Year |
2
|
| Semester |
S1
|
| ECTS Credits |
6
|
| Workload |
TP(60H)
|
| Scientific area |
Metodologia de Investigação
|
|
Entry requirements |
NA
|
|
Mode of delivery |
Face to face.
|
|
Work placements |
Not applicable.
|
|
Learning outcomes |
The aim of the curricular unit is that the students learn and apply several methods of inferential statistics (parametric and nonparametric), regression models and analyze statistical data in the field of psychology using a software (IBM SPSS).
At the end of the course, students should be able to:
a) Understand and apply statistical methods used in the analysis of different data types;
b) Use software that allows the statistical analysis of experimental data;
c) Produce and organize the results from a statistical analysis of experimental data;
d) Analyze and criticize studies and/or articles in the field of psychology, which are in accordance with the syllabus.
|
|
Syllabus |
1. One-Way ANOVA. Multiple comparisons.
2. Kruskal and Friedman nonparametric tests. Multiple comparisons.
3. Nonparametric statistics for categorical variables
3.1 Binomial test;
3.2 Tests of Independence and homogeneity. Measures of association. Z test to compare two proportions;
3.3 McNemar test.
4. Simple and multiple linear regression
4.1 Introduction to linear model;
4.2 ANOVA for regression;
4.3 Inference for multiple regression coefficients;
4.4 Partial and semi partial correlation;
4.5 Evaluation of the quality of the fit linear model;
4.6 Variable selection methods;
4.7 Use of categorical variables in the linear regression model.
5. Logistic Regression
5.1 Introduction to logistic regression. Odds ratio;
5.2 The logistic model regression. Logit link function;
5.3 Interpretation of the coefficients of the logit model;
5.4 Significance and quality of the logistic regression model;
5.5 Variable selection methods.
|
|
Main Bibliography |
. Maroco, J. (2007). Análise Estatística, com utilização do SPSS, 3ª Edição. Edições Sílabo.
. Hosmer, D., Lemeshow, S. (2000). Applied Logistic Regression, 2ª Edition. John Wiley & Sons.
. Pestana, M. H. & Gageiro, J. N. (2008). Análise de Dados para Ciências Sociais: A
Complementaridade do SPSS, 5ª Edição. Edições Sílabo.
. Pestana, M. H. & Gageiro, J. N. (2005). Descobrindo a Regressão - Com a Complementaridade
do SPSS. Edições Sílabo.
. Agresti, A., Finlay, B. (1997). Statistical Methods for the Social Science. New Jersey: Prentice Hall.
|
|
Teaching Methodologies and Assessment Criteria |
Test 1 - 24 october 2023 - 7 points
Test 2 - 28 november 2023 - 7 points
Test 3 - 9 de january 2024- 6 points.
The final classification is the sum of the three tests.
|
|
Language |
Portuguese. Tutorial support is available in English.
|