Guías Docentes Electrónicas
1. General information
Course:
INVESTIGACIÓN Y ANÁLISIS ESTADÍSTICO AVANZADO
Code:
310972
Type:
CORE COURSE
ECTS credits:
6
Degree:
2353 -
Academic year:
2019-20
Center:
302 -
Group(s):
30 
Year:
1
Duration:
First quarter
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: ALBERTO GONZALEZ GARCIA - Group(s): 30 
Building/Office
Department
Phone number
Email
Office hours
3.07
ENFERMERÍA, FISIOTERAPIA Y TERAPIA OCUP.
4641
alberto.gonzalez@uclm.es
PRIMER SEMESTRE: Martes: 9-12 horas. Miércoles: 9-12 horas. SEGUNDO SEMESTRE: SEMANAS DE TEORÍA: Martes: 9-11 horas Miércoles: 11-13 horas Jueves: 11-13 horas SEMANAS DE SEMINARIOS: Martes: 9-12 horas. Miércoles: 9-12 horas.

Lecturer: MONSERRAT SOLERA MARTINEZ - Group(s): 30 
Building/Office
Department
Phone number
Email
Office hours
Edificio Melchor Cano/1.13
ENFERMERÍA, FISIOTERAPIA Y TERAPIA OCUP.
4682
montserrat.solera@uclm.es
Miércoles y jueves de 11 a 13. Viernes de 10 a 12.

2. Pre-Requisites

Any prerequisites are established. Documentation and bibliography in English could be facilitated.

3. Justification in the curriculum, relation to other subjects and to the profession

At the master's level and in the field of health sciences, it is necessary to consolidate the scientific method. Thus, it is necessary to manage the two main methodological approaches to answer research questions in the field of health: the qualitative methodology and the quantitative methodology. Finally, the student must be able to effectively handle the tools of the statistical methodology, and apply them to the computer processing of data in the health sciences.


4. Degree competences achieved in this course
Course competences
Code Description
CB06 Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context.
CB07 Apply the achieved knowledge and ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to the area of study
CB08 Be able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of knowledge and judgments
CB09 Know how to communicate the conclusions and their supported knowledge and ultimate reasons to specialized and non-specialized audiences in a clear and unambiguous way
CB10 Have the learning skills which allow to continue studying in a self-directed or autonomous way
CE10 To know how to apply the most appropriate multivariate statistical procedure to complex data in the health and social care field.
CE11 To know how to prepare a pertinent, rigorous and feasible research proposal that responds to a priority research problem in the health and social care field.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
The student will be able to select, based on the research question, if the most appropriate approach is the qualitative or quantitative one.
The student will be able to select the appropriate statistical techniques for the exploratory, descriptive, multivariate and inferential analysis of complex data.
The student will be able to interpret and obtain practical conclusions from the analysis of the data.
The student will be able to know the appropriate techniques to summarize and graphically represent the data of a study.
The student will be able to analyze complex data with the IBM SPSS and EPIDAT statistical packages.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Health research designs (quantitative, qualitative and mixed designs).
    • Unit 1.1: Coding and data analysis.
    • Unit 1.2: Statistical inference: confidence intervals and hypothesis contrast.
    • Unit 1.3: Regression and simple and multiple correlation.
    • Unit 1.4: Logistic regression.
    • Unit 1.5: Survival analysis.
    • Unit 1.6: Results presentation.
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences ECTS Hours As Com R Description
Class Attendance (theory) [ON-SITE] Lectures CB06 CB07 CB08 CE10 CE11 0.8 20 Y Y Y Presentation of the fundamental contents of the subject. It is also intended to lead students to reflect by themselves.
Workshops or seminars [ON-SITE] Workshops and Seminars CB06 CB07 CB08 CB09 CE10 CE11 0.8 20 Y Y Y Realization of activities that connect the theoretical contents with the practical contents. Lectures, practical workshops, problem solving and clinical cases. It is also intended to lead students to reflect by themselves.
Group tutoring sessions [ON-SITE] Group tutoring sessions CB07 CB08 CB09 CE11 0.4 10 Y Y Y Autonomous work and problem solving. Creativity and relationship with the group. Contributions to group work and assessment of interventions.
Final test [ON-SITE] Assessment tests CB06 CB07 CB08 CE10 CE11 0.1 2.5 Y Y Y Mastery of the basic concepts of the subject. Demonstration of knowledge through a multiple-choice test.
Study and Exam Preparation [OFF-SITE] Self-study CB10 2 50 N N N Study of the contents of the subject and preparation of evaluation tests.
Scientific paper reading and review [OFF-SITE] Reading and Analysis of Reviews and Articles CB08 CB10 CE11 1 25 Y Y Y Critical reading of bibliography and reflection, deduction and synthesis tasks.
On-line debates and forums [OFF-SITE] Debates CB09 0.9 22.5 N N N Participation in forums and debates through virtual campus.
Total: 6 150
Total credits of in-class work: 2.1 Total class time hours: 52.5
Total credits of out of class work: 3.9 Total hours of out of class work: 97.5
As: Assessable training activity
Com: Training activity of compulsory overcoming
R: Rescheduling training activity
8. Evaluation criteria and Grading System
  Grading System  
Evaluation System Face-to-Face Self-Study Student Description
Self Evaluation and Co-evaluation 15.00% 0.00% Active participation in online forums and debates will be assessed.
Final test 80.00% 0.00% Multiple-choice test test with 4 answer options of about 30 questions, with a duration of about 40 minutes.
Assessment of problem solving and/or case studies 5.00% 0.00% Active participation in the problems and clinical cases raised during the course will be assessed.
Total: 100.00% 0.00%  

Evaluation criteria for the final exam:
The ordinary evaluation will have a final numerical mark between 0 and 10 according to the current Spanish legislation in force. It is necessary the participation of the student in at least 80% of the sessions to pass the subject. The evaluation of on-line activities and the resolution of problems and / or cases will suppose a 20% of the qualification, and 80% the score obtained in a final test with multiple-choice test.
Specifications for the resit/retake exam:
In this call the student must examine the contents of the subject not approved in the ordinary call.
Specifications for the second resit / retake exam:
In this call the student must examine all the contents of the program, regardless of whether they have passed or not before.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours

Unit 1 (de 1): Health research designs (quantitative, qualitative and mixed designs).
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 20
Workshops or seminars [PRESENCIAL][Workshops and Seminars] 20
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 10
Final test [PRESENCIAL][Assessment tests] 2.5
Study and Exam Preparation [AUTÓNOMA][Self-study] 50
Scientific paper reading and review [AUTÓNOMA][Reading and Analysis of Reviews and Articles] 25
On-line debates and forums [AUTÓNOMA][Debates] 22.5
Group 30:
Initial date: 13/11/2019 End date: 21/11/2019

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
BIOESTADISTICA ediciones científicas y técnicasMassonSalvat 84-458-0020-5 19 Ficha de la biblioteca
Ferrán Aranaz, Magdalena Curso de SPSS para Windows McGraw-Hill/Interamericana de España 84-481-3279-3 2002 Ficha de la biblioteca
Villa Rodríguez, Joel A. IBM SPSS : analisis estadistico / El Autor, 2014 Ficha de la biblioteca
Ximenez, M. Carmen Cuaderno de practicas de analisis de datos con SPSS Universidad Autónoma de Madrid 978-84-8344-205-0 2011 Ficha de la biblioteca



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