ISLA IPGT 17676

Data Processing and Analysis

• ApresentaçãoPresentation

  The course has the following main objectives: Develop statistical thinking, allowing, given a specific problem, to indicate the correct statistical tools to be applied in solving it; To familiarize students with the software that allows solving statistical problems.
• ProgramaProgramme

  1. Introduction to Statistical Analysis and statistical software to be used (JAMOVI)   2. Parametric Hypothesis Tests 2.1 Conditions for parametric tests 2.2. t-Student test for population means 2.3. analysis of variance (ANOVA) 2.4 Practical applications   3. Non parametric Hypothesis Tests 3.1 Tests for comparison of counts and proportions 3.2 Wilcoxon test for population median 3.3 Mann-Whitney test 3.4 Non Parametric Analysis of variance (ANOVA) 3.5. Software applications   4. Regression and Correlation Analysis 4.1. Correlation analysis 4.2 Linear Regression 4.3 Practical applications   5. Factor Analysis 5.1 Exploratory factorial analysis model and principal components. 5.6. Practical applications   6. Qualitative Analysis 6.1 Data Collection 6.2 Introduction to Qualitative Data Analysis 6.3 Content Analysis with webQDA software
• ObjectivosObjectives

  At the end of the course it is expected that students have acquired the following competences: Reply easily to the needs of a professional activity that requires the use of statistical methods for collecting, analyzing and interpreting data; Understand and interpret results and statistical analyzes made ¿¿by other researchers and / or  articles in their area of activity;  Empower the development and conduct of statistical studies involving statistical treatment of data and interpretation of results.
• BibliografiaBibliography

  Navarro DJ and Foxcroft DR (2019). learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70). DOI: 10.24384/hgc3-7p15 [Available from URL: http://learnstatswithjamovi.com] Maroco, J. (2018). Análise Estatística com o SPSS Statistics; 7ª Edição. Lisboa: ReportNumber. Lisboa, J.V.; Augusto, M.G.; Ferreira, P.L. (2012). Estatística Aplicação à Gestão. Porto: Vida Económica. Laureano, R.; Botelho, M (2012). SPSS - O Meu Manual de Consulta Rápida, Edições Sílabo, 2ª Edição
• MetodologiaMethodology

  Project-Based Learning (PBL) - students work on practical projects that address real-world problems, encouraging the application of knowledge in concrete situations. Personalised Learning supported by Philix - Digital Tutor. Personalising learning involves using technology to adapt content and activities according to student's individual needs, allowing them to progress at their own pace. Philix is a tutor based on Artificial Intelligence (AI) in Education. AI can be used to personalise teaching, provide immediate feedback, analyse student performance, and identify areas for improvement. Gamification - Integrates game elements, such as competition, rewards, and challenges, into the teaching-learning process to increase student engagement. Online Collaborative Learning using Moodle forums.
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  6
• NaturezaNature

  Mandatory
• EstágioInternship

  Não