Guías Docentes Electrónicas
1. General information
Course:
METHODS OF ADVANCED STATISTICAL ANALYSIS
Code:
310386
Type:
ELECTIVE
ECTS credits:
6
Degree:
2309 - MASTER DEGREE PROGRAMME IN SOCIAL AND HEALTH CARE RESEARCH
Academic year:
2023-24
Center:
302 - FACULTY OF NURSING OF CUENCA
Group(s):
30 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: MIRIAM GARRIDO MIGUEL - Group(s): 30 
Building/Office
Department
Phone number
Email
Office hours
Benjamín Palencia/ 2.11
ENFERMERÍA, FISIOTERAPIA Y TERAPIA OCUP.
926054003
miriam.garrido@uclm.es

Lecturer: ESTELA JIMENEZ LOPEZ - Group(s): 30 
Building/Office
Department
Phone number
Email
Office hours
Edificio Melchor Cano/Despacho 3.13
ENFERMERÍA, FISIOTERAPIA Y TERAPIA OCUP.
4675
Estela.JimenezLopez@uclm.es

Lecturer: VICENTE J.ANASTASIO MARTINEZ VIZCAINO - Group(s): 30 
Building/Office
Department
Phone number
Email
Office hours
Edifico Melchor Cano
ENFERMERÍA, FISIOTERAPIA Y TERAPIA OCUP.
4683
vicente.martinez@uclm.es

2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
E02
E09
E10
E11
E14
E15
G01
G04
G05
G06
G08
G10
G11
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1:
  • Unit 2:
  • Unit 3:
  • Unit 4:
  • Unit 5:
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures E02 E09 E10 E11 E14 E15 G06 0.8 20 Y Y
Workshops or seminars [ON-SITE] Project/Problem Based Learning (PBL) E09 E10 E14 E15 G01 G06 G08 0.8 20 Y N
Problem solving and/or case studies [ON-SITE] Case Studies E09 E10 E14 E15 G01 G04 0.7 17.5 Y N
Individual tutoring sessions [ON-SITE] Guided or supervised work E10 E14 E15 G04 0.1 2.5 Y N
Study and Exam Preparation [OFF-SITE] Self-study E09 E10 E14 E15 G01 G04 3.6 90 Y N
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Assessment of active participation 40.00% 0.00%
Test 60.00% 100.00%
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    Evaluation criteria not defined
  • Non-continuous evaluation:
    Evaluation criteria not defined

Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 20
Workshops or seminars [PRESENCIAL][Project/Problem Based Learning (PBL)] 20
Problem solving and/or case studies [PRESENCIAL][Case Studies] 17.5
Individual tutoring sessions [PRESENCIAL][Guided or supervised work] 2.5
Study and Exam Preparation [AUTÓNOMA][Self-study] 90

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
 
 
ANDY FIELD Discovering Statistics Using IBM SPSS Statistics SAGE PUBLICATIONS 9781526445780 2018 Libro muy muy completo, pero que requiere tiempo de lectura. Tiene toda la estadística con ejemplos divertidos, pero extensos  
George D & Mallery Paul IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference Routledge 9781032070940 2021 Libro guía de SPSS versión 27, muy completo en cuanto a análisis frecuentistas tradicionales  
H. C. W. de Vet, C. B. Terwee, L. B. Mokkink and D. L. Knol Measurement in medicine: A practical guide Cambridge University Press 2011 Clásico de la clinmetría, en el que se pueden estudir conceptos de validez y fiabilidad de pruebas diagnósticas y cuestionario  
Martínez González, M. A.; Sánchez Villegas, A.; Toledo Atucha, E.; Faulin Fajardo, J Bioestadística amigable 4ª ed Libro Elsevier 2020 https://tienda.elsevier.es/bioestadistica-amigable-9788491134077.html?gclid=Cj0KCQjwl4v4BRDaARIsAFjATPntgqo-OD3IYPhKJx3Cxnp7zXOdvikBIddK_M_-7pNko_5MrkR_NHcaAp3EEALw_wcB&gclsrc=aw.ds  



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