Curricular Unit: | Code: | ||
Statistics Applied to Psychology I | 1138EAP1 | ||
Year: | Level: | Course: | Credits: |
1 | Undergraduate | Psychology | 6 ects |
Learning Period: | Language of Instruction: | Total Hours: | |
Winter Semester | Portuguese/English | 78 | |
Learning Outcomes of the Curricular Unit: | |||
(i) To integrate methods, techniques, concepts, models, theories and knowledge in the area of Descriptive Statistics applied to psychology; (ii) To acquire and develop knowledge and skills to perform data analysis and interpretation. (iii) To acquire and develop knowledge and skills using descriptive statistics methods and techniques; (iv) To apply knowledge to real research contexts; (v) To improve oral and written communication skills. | |||
Syllabus: | |||
Introduction to statistics: definition and functions; Population and sample; measurement scales. Univariate and bivariate descriptive statistics. Data transformation. | |||
Demonstration of the Syllabus Coherence with the Curricular Unit's Objectives: | |||
Syllabus contents focus on specific theoretical issues in the area of applied descriptive statistics, thus enabling the fulfillment of the course objectives, specifically: to integrate methods, techniques, concepts, models, theories and knowledge in the area of applied research and to acquire and develop knowledge and basic skills in research processes. | |||
Teaching Methodologies (Including Evaluation): | |||
Teaching methodology will include theoretical lecturing and exercises. Assessment will be continuous and based on two written tests. | |||
Demonstration of the Coherence between the Teaching Methodologies and the Learning Outcomes: | |||
Theoretical exposition of contents form Descriptive Statistics and applications in Psychology; Solving practical exercises and cases with the aim of demonstrating knowledge and skills in descriptive data analysis; to master the main techniques and methodologies used in Descriptive Statistics. | |||
Reading: | |||
*1. Dancey, C. & Reidy, J. (2006). Estatística sem matemática para psicologia. Porto Alegre: Artmed. 2. Guimarães, R. C. e Cabral, J. A. S. (2011). Estatística. Verlag Dashofer. *3. Maroco, J. & Bispo, R. (2005). Estatística aplicada às ciências humanas e sociais. Lisboa: Climepsi. *4. Pestana e Gajeiro (2008) Análise de Dados para as Ciências Sociais. Lisboa: Sílabo * Na biblioteca | |||
Lecturer (* Responsible): | |||
Ana Sacau (pssacau@ufp.edu.pt) |