Scientific Methodology and Biostatistics
Code: 102989Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Physiotherapy | FB | 1 |
Contact lecturer
- Name :
- Gianluigi Caltabiano
- Email :
- gianluigi.caltabiano@uab.cat
Teaching staff
- Maria Feijoo Cid
- Gianluigi Caltabiano
Group languages
You can consult this information at the end of the document.
Prerequisites
Bioestadística: it is advisable to have basic knowledge of mathematics
Objectives
This subject aims to help the student with the basic training in scientific methodology and bioestadística. Physiotherapy professionals face a set of situations-problem, in which they test their abilities (selection of information, organization of reasoning, distinction between the fundamental and the accessory, statistical interpretation of health problems ...). The purpose is to structure a critical and thoughtful thinking that allows the correct use of scientific knowledge in health sciences and the analysis and resolution of problems in the field of physiotherapy.
The subject raises the basic knowledge and abilities to apply in the accomplishment of the final work of degree.
Learning outcomes
- Statistically process data on physiotherapy treatments.
- Use reliable sources of information concerning the health sciences and use the information obtained correctly.
- Use statistical techniques in the workplace in order to gain a deeper understanding of results obtained.
- Identify and use the principles and methods for conducting research in physiotherapy.
- Analyse and synthesise.
- Organise and plan.
- Express ideas fluently, coherently and correctly, both orally and in writing.
- Manage information systems.
- Display a strategic and flexible attitude to learning.
- Identify situations in which a change or improvement is needed.
- Analyse a situation and identify its points for improvement.
- Propose new methods or well-founded alternative solutions.
- Weigh up the risks and opportunities of suggestions for improvement: one's own and those of others.
- Propose new ways to measure success or failure when implementing innovative proposals or ideas.
- Identify the social, economic and environmental implications of academic and professional activities within one?s own area of knowledge.
- Propose viable projects and actions to boost social, economic and environmental benefits.
- Propose ways to evaluate projects and actions for improving sustainability.
- Consider how gender stereotypes and roles impinge on the exercise of the profession.
- Communicate using language that is not sexist.
Contents
Scientific Methodology
Theoretical and methodological bases of the research. Scientific approach. Sources of knowledge. Scientific method. Investigation process. Problem and study objectives. Hypotheses and variables. Study subjects: population, sample, sampling and selection criteria. Study designs. Data collection methods. Ethical considerations. Praxis based on Evidence.
Biostatistics:
Introduction to biostatistics. Basics Collection and tabulation of the information. Graphic presentation of the research. Measures of central tendency. Contingency tables and regression line. Binomial and normal distribution. Confidence intervals and hypothesis tests.
Documentary sources. Bibliographical review and sources of information
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Personal Study | 99 | 3.96 | 1, 6, 7, 11, 17, 19 |
| Classroom Practices | 4 | 0.16 | 1, 6, 8, 17, 18, 19 |
| Lab Practices | 18 | 0.72 | 1, 3, 4, 6, 7, 8, 11, 17, 18, 19 |
| THEORY (TE) | 23 | 0.92 | 1, 2, 3, 4, 11, 12, 15 |
Activities are designed and planned so that students can achieve the relevant learning outcomes.
Use of Ai in Scientific methodology: The use of Artificial Intelligence technologies (IA) for this subject is allowed exclusively in support tasks such as proofreading or translations or audiovisual support. The use of IA in support tasks such as bibliographic or information search or any other knowledge generation task is prohibited. The student will have to clearly identify which parts have been generated with this technology, specify the tools used, include a critical reflection on how these have influenced the process and the final result of the activity and reference them (as specified in Bibliography). The non-transparency of the use of IA in this evaluable activity will be considered academic dishonesty and may result in a total penalty in the grade of the activity, or higher
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Scientific methodology: Written evaluation through objective tests of selection of multiple choice items | 35% | 1 | 0.04 | 1, 2, 5, 6, 8, 10, 11, 14, 17, 18 |
| Bioestadística - Written evaluation through objective tests of selection of multiple choice items | 35% | 3 | 0.12 | 1, 3, 4, 12, 15, 17, 18 |
| Bioestadística - Deliveries of written works / practices to deliver | 15% | 1 | 0.04 | 1, 5, 6, 7, 8, 10, 11, 17, 18, 19 |
| Scientific methodology: Deliveries of written works | 15% | 1 | 0.04 | 2, 3, 4, 5, 9, 10, 12, 13, 14, 15, 16, 19 |
Evaluation criteria:
scientific methodology: individual or group work is compulsory and if one of them is not presented within the established period, it will be evaluated as zero (0).
- The final grade of the subject is the sum of the note obtained in scientific methodology and bioestadística with the weight established in this guide, as long as they have a minimum grade of 4 in each module. The weighting of both biostatistics as a scientific methodology will be carried out whenever the minimum mark of the written work and the grade of the exams are at least 4.
-The partial evaluation activities to which the student is not present will make an average of 0.
Definition of NO EVALUATION: In each part of the subject, both scientific methodology and bioestadística, it will be understood by Nonvalueable (NA) that situation in which the student DOES NOT present to 50% or more of the evaluation activities . Likewise, having a NA in one of the two parts of the subject, will represent a NA in the whole course.
There will be a recovery exam for those students who have not approved the subject through standard modality. In order to participate in this exam the students must have been previously evaluated in a series of activities whose weight equals to a minimum of two thirds of the total grade of the subject
- Single assessment: Students who request it, following the instructions of the University and the Faculty of Medicine, will have the possibility of being evaluated in a single test. The test will be at the end of the academic year and will include all the syllabus taught throughout the course, both theory and practice, and the minimum grade necessary to pass will be 5 points in both moduls. The moment students request this kind of examination, it will be considered that the final grade of the subject will be the one obtained in this test. Recovery: The same recovery system will beapplied as for the continuous evaluation
Review Tests: All students have the right to review the assessment tests by appointment with the teacher. The review will consist of an individual tutorial where the student will be given the feedback.
The treatment of possible individual cases will be carried out from a teaching committee (made up of the coordinator of the subject, and 2 of the professors of the same, 1 of each department involved) where the student's particular situation will be evaluated and the most appropriate decisions will be taken.
Reconsideration evidence: All students who have not passedthe continuous assessment with a different note from Non-Appraising (NA) have the right to proof of recovery at first call.
Committing any irregularity in an assessment activity (academic fraud, plagiarism, or misuse of AI, unless such use is expressly authorized in the teaching guide) that could lead to a significant variation in the grade, will result in this activity being graded with a 0. If the teaching guide stipulates that obtaining a minimum grade in this assessment activity is an essential requirement to pass the course, or if multiple irregularities occur in the assessment activities of the same course, the final grade for this course will be 0. Aside from this, disciplinary proceedings may be initiated against the student who commits any of these irregularities
Bibliography
Bibliografy
Francisca Ríus Díaz, Julia Wärnberg. Bioestadística 2ªed. Madrid: Ed Paraninfo, 2015
Cobo E, Muñoz P, González JA. Bioestadística para no estadísticos: principios para interpretar un estudio científico. Barcelona: Elsevier Masson, 2007.
Gerrish, K, Lacey A. Investigación en Enfermería. Madrid: McGraw-Hill-Interamericana 2008.
Polit D., Hungler, B. Investigación científica en Ciencias de la Salud 6a ed. México : McGraw-Hill Interamericana, 2000.
Argimon J.M., Jimenez J. Métodos de investigación clínica y epidemiológica. 4ª ed. Barcelona: Elsevier España,SA, 2013.
Abad E., Monistrol O., Altarribas E ., Paredes A. Lectura crítica de la literatura científica. Enfermería Clínica 2003;13(1): p.32-40.
Rodríguez del Águila M.M, Pérez S., Sordo L., Fernández M. A. Cómo elaborar un protocolo de investigación en salud Med Clin (Barc).2007;129(8): p. 299-302.
Cabezali Sánchez JM, Sánchez Aldeguer J. El cuestionario: bases metodológicas y su utilización en Fisioterapia, para lograr una mayor calidad asistencial. Fisioterapia 1997;19(2):97-103
Fernandez de Sanmamed MJ Adecuación de las normas de publicación en revistas científicas a las investigaciones cualitativas. Atención Primaria Vol.25 Núm. (7): p. 118-122
Fernández de Sanmamed MJ, Calderón C. Investigación Cualitativa en Atención Primaria. En: Martín Zurro A, Cano Pérez JF. Atención Primaria. 5ª ed. Barcelona: Hancourt Internacional;2003.
Links
http://blogs.uab.cat/cuidabloc/
http://www.pedro.org.au/
https://www.scopus.com/pages/home#basic
http://www.ncbi.nlm.nih.gov/pubmed
http://www.easp.es/exploraevidencia/
http://www.fisterra.com
http://www.msc.es/resp
http://www.doaj.org
Citing AI use: Since some use of AI is allowed, AI must be cited. To know how to cite it see Citar y elaborar Bibliografías. Estilos bibliográficos: COMO CITAR INTELIGENCIA ARTIFICIAL (IA).
Recommended Reading Por qué ChatGPT no puede firmar artículos científicos. Javier Palanca.
Internet resources, legislation and ethical consideration:
- Declaración de Helsinki de la Asociación Médica Mundial
- Informe de Belmont
- Real Decreto 1090/2015, de 4 de diciembre, por el que se regulan los ensayos clínicos con medicamentos, los Comités de Ética de la Investigación con medicamentos y el Registro Español de Estudios Clínicos.
- Ley Orgánica 3/2018, de 5 de diciembre, de Protección de Datos Personales y garantía de los derechos digitales (LOPD-GDD), publicada en 09 de mayo de 2023
- Buenas Prácticas Clínicas
Software
Biostatistics
Software: IBM SPSS
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 101 | Catalan/Spanish | second semester | morning-mixed |
| (PAUL) Classroom practices | 101 | Spanish | second semester | morning-mixed |
| (PLAB) Practical laboratories | 101 | Catalan/Spanish | second semester | morning-mixed |
| (PAUL) Classroom practices | 102 | Spanish | second semester | morning-mixed |
| (PLAB) Practical laboratories | 102 | Catalan/Spanish | second semester | morning-mixed |
| (PLAB) Practical laboratories | 103 | Catalan/Spanish | second semester | morning-mixed |
| (PLAB) Practical laboratories | 104 | Catalan/Spanish | second semester | morning-mixed |