| Code |
14845
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| Year |
1
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| Semester |
S2
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| ECTS Credits |
6
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| Workload |
TP(60H)
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| Scientific area |
Metodologia de Investigação
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Entry requirements |
No prerequisites
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Mode of delivery |
Face to face.
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Work placements |
Not applicable.
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Learning outcomes |
The aim is that the students learn and apply several methods of descriptive and inferential statistics, parametric and nonparametric, and analyze statistical data in the field of psychology with the aid of 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.
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Syllabus |
1. Descriptive Statistics
1.1 Classification of statistical variables and their measurement scales;
1.2 Tables of frequencies of one-dimensional and two-dimensional variables;
1.3 Graphical representation of one-dimensional and two-dimensional variables;
1.4 Measures of central tendency and dispersion. Skewness and kurtosis;
1.5 Linear correlation. Correlation coefficient. Regression line. Coefficient of determination;
2. Brief Introduction to Probability Theory
2.1 Random variables;
2.2 Probability distribution;
2.3 Binomial and Normal distributions.
3. Statistical Inference
3.1 Sampling distribution of the mean;
3.2 Confidence Intervals;
3.3 Introduction to hypothesis tests;
3.4 Tests to verify the assumptions of parametric tests;
3.5 One-sample t test. T tests for independent and paired samples;
3.6 Nonparametric tests: Mann-Whitney, Wilcoxon and sign.
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Main Bibliography |
. Maroco, J. (2007). Análise Estatística, com utilização do SPSS (3ª Edição). Edições Sílabo.
. Pestana, M. H. & Gageiro, J. N. (2008). Análise de Dados para Ciências Sociais: A Complementaridade do SPSS (5ª Edição). Edições Sílabo.
. Guimarães, R.C., Cabral, J.A.S. (2007). Estatística (2ª edição). Lisboa: McGraw-Hill.
. Agresti, A., Finlay, B. (1997). Statistical Methods for the Social Science. New Jersey: Prentice Hall.
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Teaching Methodologies and Assessment Criteria |
The classes are of type theoretical and practical, in which two students has a computer for data processing with statistical software (SPSS).
Learning Assessment
The classification of teaching and learning (CEA) will be the sum of three (individual) written tests (with scores: 6, 7 and 7 points), through solving exercises using a statistical software (SPSS). A student will be excused from the final exam if the CEA is at least equal to or greater than 9.5.
Restriction to be admitted to Final Exam:
a) CEA < 6;
b) Class attendance <75% (only for regular students).
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Language |
Portuguese. Tutorial support is available in English.
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