ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 99 Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 150
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Statistics, Mathematical Analysis and Optimisation, Psychiatry, Radiology, Public Health, Nursing and Medicine
Areas: Statistics and Operations Research, Preventive Medicine and Public Health
Center Faculty of Nursing
Call: First Semester
Teaching: Sin docencia (Extinguida)
Enrolment: No Matriculable | 1st year (Yes)
The subject consists of two parts (Statistics and Research Methodology). The objectives are the following:
Provide students with the statistical techniques essential in experimentation in Health Sciences in general, and in Nursing in particular. Training it for data analysis and statistical reasoning. Learn how to use statistical software to solve statistical problems.
Introduce students to the research methodology, highlighting the importance of formulating adequate hypotheses, use of computerized databases and definition of the target population. Know the advantages and disadvantages of the different methods of collecting information in health studies and reflect on the ethical implications of any study and health intervention
PART 1. STATISTICS
CHAPTER 1. DESCRIPTIVE STATISTICS
1.1 Introduction to descriptive statistics.
1.2 Frequency distributions.
1.3 Graphical representations: location, dispersion and shape.
1.4 Characteristic measures.
1.5 Bidimensionanl descriptive statistics. The regression line.
CHAPTER 2. PROBABILITY
2.1 Basic concepts in probability.
2.2 Conditional probability. Independence of events.
CHAPTER 3. RANDOM VARIABLES
3.1 Basics of random variables.
3.2 Discrete random variable. The Binomial distribution.
3.3 Continuous random variable. The Normal distribution.
CHAPTER 4. INTRODUCTION TO STATISTICAL INFERENCE
4.1 Introduction to statisticla inference.
4.2 Sampling methods.
4.3 Sampling distributions in normal populations.
4.4 Parameter estimation: point and confidence interval estimation.
CHAPTER 5. HYPOTHESIS TESTING
5.1 Introduction to hypothesis testing.
5.2 Testing procedure.
5.3 Testing in one and two populations.
5.4 Hypothesis testing for linear regression.
5.5 Testing normality and independence.
LABORATORY.
Lab 1.- Introduction to SPSS. Descriptive statistics.
Lab 2.- Regression and dependence.
Lab 3.- Hypothesis tests.
PART 2. RESEARCH METHODOLOGY.
1. Science Phylosophy. Steps of scientific methodology. Literature review and formulating hypothesis.
2. Methodology of epidemiologic research.
3. Variable types, measurement scales and diagnostic tests.
4. Population and sample. External and internal validity.
5. Data collection. Questionnaires.
6. Ethical Issues in research.
PART 1. STATISTICS
Teachers will distribute, through the virtual course, materials adapted to the content of the program. They are enough to follow the matter in any scenario
BASIC BIBLIOGRAPHY
Crujeiras Casais, R.M. y Faraldo Roca, P. (2010) Manual de Estadística Básica para Ciencias de la Salud. Unidixital.
Martínez González, Sánchez Villegas, Toledo Atucha & Faulin Fajardo (2019) Bioestadística amigable, Edición 4. Elsevier.
Rius Díaz, F. y Wärnerberg Wärnerberg, julia (2014): Bioestadística. Paraninfo
COMPLEMENTARY BIBLIOGRAPHY
Cao Abad, R. et al. (2001) Introducción a la Estadística y sus aplicaciones. Ediciones Pirámide.
Quesada, V. et al. (1996) Estadística para Biología y Ciencias de la Salud. Interamericana-McGraw-Hill (3ª edición).
Rosner, B. (2000) Fundamentals of Bioestatistics.Wadsworth Publishing Company. Duxbury Press (5ª edición).
RESEARCH METHODOLOGY
- Piédrola Gil et al. Medicina preventiva y salud publica. 11ª Edición. Barcelona: Masson, 2008.
- Notter LE, Hott JR. Principios de investigación en enfermería. Barcelona: Doyma, 1992.
- Rivadulla Rodríguez A: Filosofía actual de la ciencia. Madrid: Editorial Tecnos, 1986.
- Echevarría J. Introducción a la metodología de la ciencia. Barcelona: Editorial Barcanaova, 1989.
- Polit D, Hunglet B. Investigación científica en ciencias de la salud. Mexico: Interamericana, McGraw-Hill, 1994.
- Rebagliato M, Ruiz I, Arranz M. Metodología de investigación en epidemiología. Ed Díaz de Santos. 1996. Con explicaciones
sencillas recorre todos los pasos en el diseño de investigaciones, desde búsqueda de literatura, elaboración de hipótesis y
diseño de cuestionarios. Muy recomendable para no iniciados.
- Ahlbom A, Norell S. Fundamentos de epidemiología. Ed Siglo XXI. 1995. Manual muy práctico con ejercicios y ejemplos sobre
aspectos básicos de epidemiología.
- Coggon D, Rose G, Barker DJP. Epidemiology for the uninitiated. Fifth Edition. BMJ group. 2003. Libro corto sobre fundamentos
de epidemiología. Muy sencillo de leer.
- Argimón JM, Jiménez Vila J. Métodos de investigación aplicados a investigación primaria de salud. Ed Mosby/Doyma libros.
1994. Libro con ejemplos prácticos de investigación en clínica. Trae información detallada sobre cálculo de tamaños muestrales
y contraste de hipótesis.
- Manual de método epidemiológico. http://www.isciii.es/htdocs/publicaciones/documentos/2009-
0843_Manual_epidemiologico_ultimo_23-01-10.pdf
In this course, our aim is to contribute to prepare the students in the competencies mentioned in the proposal for the Grao in Nursing da USC:
CB1 - That the students have demonstrated knowledge and understanding in a field of study that assumes general secondary education, and is typically at a level which, although it is supported by advanced textbooks, includes some aspects that imply knowledge of the forefront of their field of study.
Transversal
• Capacity for analysis and synthesis.
• Organizational skills and planning.
• Oral and written communication in both native and foreign language.
• Ability to manage information.
• Teamwork.
• Autonomous Learning.
• Creativity .
• Motivation for quality
Specific:
• Apply technologies and information and communication systems of health care .
• Relevant knowledge and ability to apply technology and information technology to health care .
• Relevant knowledge and ability to apply principles of research and information.
• Ability to report , record, document and refer care using appropriate technologies.
Results will acquire the student
• Master the basics of probability theory and statistics .
• To acquire basic knowledge about the practical management of data analysis techniques and statistical inference , applied to
health sciences .
• Know the approach of causal relationships in Health Sciences .
• Understand the steps of the scientific method .
• Identify the sampling technique most appropriate for each study.
• Know the different types of variables and how to collect them.
• Planning a research paper .
• Understand the usefulness and application of scientific method in nursing.
• Know and use the major databases of scientific literature (Medline ) .
STATISTICS
Scenario 1 (adapted normality)
In the expository teaching sessions, the theoretical-practical concepts of the contents will be explained, supported by multimedia presentations. Some typical problems will also be solved, so that the students can work on the exercise bulletins that will be provided. Regarding the material for the follow-up of the subject, students over the recommended bibliography will have complementary teaching material. The interactive laboratory classes will be held in the computer room where students will be introduced to the use of the SPSS for statistical data analysis. This session will also work on clinical cases shared with other course subjects. For the follow-up of the practical classes, the script of the same will be provided to the students. The other part of the interactive teaching will take place in the classroom and will be aimed at problem solving
The tutorials are aimed at monitoring student learning.
Scenarios 2 (distance) and 3 (closure of facilities
The foregoing is modified when it is not possible to teach face-to-face, being replaced by synchronous teaching through the TEAMS platform complemented with guidance and materials in the virtual course.
RESEARCH METHODOLOGY.
Expository teaching: see statistics section.
Interactive teaching: some will take place in the computer room, where students will learn to search literature in automated databases. In the other seminars exercises will be done with real cases to develop the concepts pointed out in the theory classes
Tutorials: they are intended to solve the doubts of the students about the subject.
The subject consists of two parts (Statistics and Research Methodology), which will have a weight of 50% on the final grade. To pass the subject, it will be necessary to obtain a minimum of 3 points out of 10 in each of the parts. The evaluation of each part will be as follows:
PART 1. STATISTICS
Continuous evaluation (25%): the continuous evaluation contemplates several tests throughout the course, including among them the resolution and delivery of practical cases that the teaching staff will propose. For its evaluation, it will be necessary to attend at least 75% of the interactive sessions. This qualification is kept between calls of the same academic year.
Virtual Training Course on Informational Skills in Nursing (5%).
Final exam (70%): the final exam will consist of several theoretical-practical questions about the contents of the subject, which may include the interpretation of results obtained with the statistical package used in interactive teaching.
The weight of continuous assessment in the extraordinary opportunity for recovery (July tests) will be the same (30%).
The exam will be face-to-face or telematic depending on the setting
In cases of fraudulent performance of exercises or tests, it will be applied or included in the "Regulations for evaluating the academic performance of students and reviewing grades"
PART 2. METHODOLOGY OF THE INVESTIGATION
Continuous assessment (25%): the continuous assessment will be carried out based on the delivery of exercises proposed by the teaching staff and / or the presentation of work in class. These jobs are mandatory. For these activities to be included in the final evaluation and for the student to have the right to take the final exam, they must attend at least 75% of both the expository and interactive classes. For the control of attendance, the teaching staff will register the students through a list of signatures.
Virtual Training Course on Informational Skills in Nursing (5%).
Final exam (70%): it will consist of solving practical or theoretical questions about the content of the subject. Generally by means of test type test or short questions. The weight of the continuous evaluation in the extraordinary opportunity of recovery (July tests) will be the same as in the ordinary session, the student must have fulfilled all the requirements for the presence and presentation of exercises and work as for the ordinary session.
Repetitive student evaluation system: Same evaluation regime as the ordinary student.
For cases of fraudulent conduct in exercises or exams, the USC "Normativa de avaliación do rendemento académico dos estudantes e de revisión de cualificacións" will apply to USC students.
In the first part of this subject, the student must attend 24 hours of lectures (24 lectures and 24 interactive). For each lecture hour, about 1.5 hours is con48dered necessary for the revision of concepts and bibliography consulting.
For the interactive part, one hour of self-study for each session hour would be enough for revising the class work. Apart from this work, the studen must be aware of the importance of being able to solve problems (from the exercise assigments or from the recommended bibliography).
Attending the lectures and interactive sessions is crucial for following the course and passing the assessment. The student must work on all the activities recommended by the professor (solving exercise, revising bibliography and practical exercises) in order to pass the course.
Contingency Plan
1. In the event that it is not possible to face-to-face teaching, it will be replaced by synchronous teaching through the MS Teams platform, complemented with guidance and materials in the Campus Virtual.
2. The final exam will be face-to-face or telematic depending on the scenario.
The material will be made available to students through the Virtual Campus of the USC, which will be the main means of communication with students
CONTINGENCY PLAN (RESEARCH METHODOLOGY PART)
*In the case of a Health Emergency State with the subsequent implementation of scenarios 2 or 3, the affected part of the course will take place online through institutional means.
*Assessment: In the case of a Health Emergency State with the subsequent implementation of scenarios 2 or 3, the same percentages in the punctuation and the same types of assignments and exams will be maintained, but they will be carried out online through institutional means.
This guide and the criteria and methodologies in her described are subject to the modifications that derive of rules and guidelines of the USC.
El Bahi Takkouche Souilamas
- Department
- Psychiatry, Radiology, Public Health, Nursing and Medicine
- Area
- Preventive Medicine and Public Health
- Phone
- 881812268
- bahi.takkouche [at] usc.es
- Category
- Professor: University Lecturer
Pedro Faraldo Roca
Coordinador/a- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- Phone
- 881813216
- pedro.faraldo [at] usc.es
- Category
- Professor: University Lecturer
Alberto Ruano Raviña
- Department
- Psychiatry, Radiology, Public Health, Nursing and Medicine
- Area
- Preventive Medicine and Public Health
- Phone
- 881812267
- alberto.ruano [at] usc.es
- Category
- Professor: University Lecturer
Maria Leonor Varela Lema
- Department
- Psychiatry, Radiology, Public Health, Nursing and Medicine
- Area
- Preventive Medicine and Public Health
- leonor.varela [at] usc.es
- Category
- Professor: LOU (Organic Law for Universities) PhD Assistant Professor
Mercedes Conde Amboage
- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- mercedes.amboage [at] usc.es
- Category
- Professor: LOU (Organic Law for Universities) PhD Assistant Professor
Laura Davila Pena
- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- Phone
- 881813391
- laura.davila [at] rai.usc.es
- Category
- Ministry Pre-doctoral Contract
Antonio Raso Serrano
- Department
- Psychiatry, Radiology, Public Health, Nursing and Medicine
- Area
- Preventive Medicine and Public Health
- antonio.raso [at] rai.usc.es
- Category
- Xunta Pre-doctoral Contract
| Monday | |||
|---|---|---|---|
| 09:00-10:00 | Grupo /CLE_02 | Spanish | Classroom 2.03 |
| 10:00-11:00 | Grupo /CLE_01 | Galician, Spanish | Classroom 2.01 |
| 16:00-18:00 | Grupo /CLIS_01 | Galician, Spanish | Classroom 2.01 |
| 18:00-20:00 | Grupo /CLIS_02 | Galician, Spanish | Classroom 2.01 |
| Tuesday | |||
| 09:00-10:00 | Grupo /CLE_02 | Spanish | Classroom 2.03 |
| 10:00-11:00 | Grupo /CLE_01 | Spanish, Galician | Classroom 2.01 |
| 16:00-18:00 | Grupo /CLIS_03 | Spanish | Classroom 2.01 |
| 18:00-20:00 | Grupo /CLIS_04 | Spanish | Classroom 2.01 |
| Wednesday | |||
| 09:00-10:00 | Grupo /CLE_02 | Spanish | Classroom 2.03 |
| 10:00-11:00 | Grupo /CLE_01 | Galician, Spanish | Classroom 2.01 |
| Thursday | |||
| 09:00-10:00 | Grupo /CLE_02 | Spanish | Classroom 2.03 |
| 10:00-11:00 | Grupo /CLE_01 | Galician, Spanish | Classroom 2.01 |
| Friday | |||
| 09:00-10:00 | Grupo /CLE_02 | Spanish | Classroom 2.03 |
| 10:00-11:00 | Grupo /CLE_01 | Spanish, Galician | Classroom 2.01 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_02 | Classroom 2.01 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_01 | Classroom 2.01 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_02 | Classroom 2.02 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_01 | Classroom 2.02 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_01 | Classroom 2.03 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_02 | Classroom 2.03 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_02 | Classroom 3.01 |
| 01.20.2021 10:00-12:00 | Grupo /CLE_01 | Classroom 3.01 |
| 06.22.2021 09:00-11:00 | Grupo /CLE_02 | Classroom 3.01 |
| 06.22.2021 09:00-11:00 | Grupo /CLE_01 | Classroom 3.01 |