1. Module 1. Survey methodology 2. Module 2. Univariate descriptive statistics 3. Module 3. Univariate inferential statistics 4. Module 4. Bivariate descriptive and inferential analysis 5. Module 5. Introduction to the linear regression model
Tipus d’activitat Hores amb professor Hores sense professor Hores virtuals amb professor Total Anàlisi / estudi de casos 9,50 9,00 0 18,50 Prova d'avaluació 2,00 19,00 5,00 26,00 Resolució d'exercicis 15,00 22,00 0 37,00 Sessió expositiva 19,00 28,00 0 47,00 Treball en equip 8,00 8,50 5,00 21,50 Total 53,50 86,50 10,00 150
Solans M, Muntada AM, Barceló MA, Perafita X (2026). An introduction to Jamovi for Global Studies. . Recuperat , a http://hdl.handle.net/10256/28212 Danielle J. Navarro and David R (2025). Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis. Cambridge, UK: Open Book Publishers. Recuperat , a https://doi.org/10.11647/OBP.0333 Catàleg The Jamovi project. Jamovi tutorial. Recuperat , a https://docs.jamovi.org/ Spiegelhalter D (2019). The art of statistics: Learning from data. UK: Penguin books. Groves, Robert (2009). Survey Methodology (2nd). Hoboken, N.J: Wiley. Catàleg
Activitats d'avaluació: Descripció de l'activitat Avaluació de l'activitat % Recuperable Task 1. Univariate inferential statistsics Online evaluation task using Jamovi and a real dataset, in which students (in groups of 4) will have to perform and interprete univariate inferential analysis. 10 No Task 2. Bivariate analysis Online evaluation task using Jamovi and a real dataset, in which students (in groups of 4) will have to perform and interprete descriptive and inferential bivariate analysis. 10 No Task 3. Linear regression model Online evaluation task using Jamovi and a real dataset, in which students (in groups of 4) will have to perform and interprete a linear regression model. 10 No Survey design project In groups of 4, students will have to define a research objective and hypotheses, select a population of study and sampling method, design a questionnaire, select a data collection method and deliver their questionnaire, curate data, and analyse it with Jamovi. The findings will be presented in an oral presentation. 25 No Participation in the 'Global Week' activity Participation in the 'Global Week' activity related to Data Analysis. 5 No Final exam Written final exam including topics from modules 1 to 5. 40 Sí
A minimum score of 4/10 in the final exam and an overall mark (based on a weighted average of all evaluation tasks) of minimum 5/10. For those not reaching a 4/10 in the final exam or a 5/10 in the overall mark, there will be a resit examination. Attending the final exam is a requirement to take the resit examination. Criteris específics de la nota «No Presentat»: Those students not attending the final exam will be graded as "Not Presented". Attending the final exam is a requierement to take the resit examination. Avaluació única: Overall mark based on the survey project (25% of the final mark) and a final exam (75% of the final mark). The final exam will include a written part and a practical part (use of Jamovi). A minimum mark of 4/10 in the exam is required and there will be a resit examination. Attending the final exam is a requirement to take the resit examination. Requisits mínims per aprovar: A mininum score of 4/10 in the final exam and weighted average of all evaluation tasks of minimum 5/10.
All instructions to follow the lectures will be provided during classes and relevant information will be also posted in the subject's forum.