Subject

Methodological Assessment

  • code 12192
  • course 1
  • term Semester 1
  • type op
  • credits 3

Main language of instruction: Catalan

Other languages of instruction: English, Spanish

Teaching staff

Head instructor

Dra. Cristina MONFORTE - cmonforte@uic.es

Other instructors

Dr. Adrián GONZÁLEZ - agonzalezm@uic.es

Office hours

Previous date by e-mail with the teacher:

Introduction

In the Master's Final Work (MFW) students have to implement independently for all skills and learning about research results acquired during the Master with tutoring from a teacher. Sometimes making MFW poses some difficulties for students at different levels, particularly in the methodological or statistical.

This course aims to strengthen methodological advice of skills and competences acquired on research methodology in the different subjects of the Master to carry out the MFW. In addition, it is intended that students learn to use the existing methodological advice service in many health care centers as a research support system. Students will have discussions on methodological design with the teachers of the subject.

Pre-course requirements

You need to be enrolled in the subjects: Final Master’s Degree, Biostatistics II and Qualitative Health Research Methodology.

The student must have passed the subjects: Biostatistics I and Quantitative Clinical Research Designs.

   

Objectives

  1. Submit appropriate statistical methods to achieve the goals outlined in the Master Final Work (MFW) with quantitative designs. 
  2. Provide appropriate statistical software for analysis for quantitative studies.
  3. To train students to analyze their own research studies, both qualitative and quantitative.
  4. To provide adequate methodological support for the design of qualitative studies, as well as for their justification.

Competences / Learning outcomes of the degree programme

  • CE1 - To know how to apply scientific methods, experimental design and biostatistics to answer a question or corroborate a hypothesis in a clinical setting.
  • CE6 - To know how to describe and apply the most common techniques for exploring and analysing data, the relationship between variables or categories and/or corroborating hypotheses in both quantitative and qualitative research.
  • CE9 - To know how to apply specific theoretical and practical knowledge to health science research.
  • CG2 - The ability to critically analyse and discuss research results and transmit the relevant outcomes.
  • CB10 - To have the learning competences that allow them to continue to study in a way that will have to be mainly independent.
  • CE10 - The ability to critically analyse and discuss research results and transmit the relevant outcomes
  • CE2 - To know how to design a research project within a specific context in a clinical setting
  • CE3 - To know how to describe both the quantitative and qualitative methodological designs used in health research in the healthcare environment.
  • CE5 - To know how to apply the language of scientific writing when communicating health outcomes
  • CG1 - The ability to incorporate new knowledge acquired through research and study and cope with complexity.
  • CG3 - The ability to draw up research questions and put them into operation as research projects and formulate evidence-based research hypotheses.
  • CG4 - The ability to articulate and defend one's own scientific ideas in an ethical way with regard to the research process
  • CT1 - The ability to integrate within an established, multidisciplinary and multicultural work team.

Learning outcomes of the subject

  • Students will be able to summarize in tabular form, graphically or numerically, categorical data, counts and continuous variables.
  • Be able to use conditional probabilities and how to interpret as a sign of the goodness of a diagnostic test applied in usual terms such as specificity, sensitivity, and predictive values of the test.
  • Will recognize what statistical technique applied in some common experimental situations and problems of one and two samples.
  • Know to make an estimation problem in terms of a confidence interval (from a median, a difference of medium, a proportion) and know how to use the information to make decisions.
  • Know to apply the calculation of sample size needed to guarantee a precision fixed a priori in any of the above ranges.
  • Know how to use a computational tool that machined the different calculations, interpret their lists and draw conclusions.
  • Be able to determine the statistical methods needed to answer the scientific question that arises when you take to complete a research study.
  • Be able to answer a research question from the statistical point of view.
  • Be able to perform and justify the analysis of data generated by their research.
  • Be able to justify and write the qualitative design method appropriate to its objective.

Syllabus

The contents of the course will depend on the objectives in different TFM and will reinforce the content of the subjects:

  • Bioestatistics I and II.
  • Quantitative Clinical Research Designs
  • Qualitative Research Methodology in Health.
 

Teaching and learning activities

In person

Classes will consist in methodological and statistical advice for the group and individual of the WFM that the students are doing. Two group sessions will be performed: at the beginning of the course and in the end; and two individual sessions in-between.

The student will have their defined work, research objectives, data collection techniques... and statistical data analysis approach. This approach to the subject teacher will be presented and both (student-teacher) will set the pace of work in order to improve this aspect of the work.

Evaluation systems and criteria

In person

Joint Evaluation of 2 components:

  1. Continuous assessment (30%): the work presented in each of the tutorials in relation to the objectives will be assessed.
  2. Evaluation of the final result presented in the last group tutoring (70%): the student must submit the section on MFWs and defend it in front of other students in group mentoring.

Bibliography and resources

Argimón, J.M.; Jiménez, J. (2004). Métodos de investigación clínica y epidemiológica. 3a ed. Madrid: Elsevier.

Armitage, P.; Berry, G. (1997). Estadística para la investigación biomédica. 3a ed. Barcelona: Harcourt Brace.

Bisquerra, R.; Echeverría, B.; Rodríguez, M. (1987). Estadística Psicopedagógica. Barcelona: Promociones y Publicaciones Universitarias.

Burgos, R. (1998). Metodología de investigación y escritura científica en clínica. 3ª ed. Granada: Escuela Andaluza de Salud Pública.

Burns, N.; Grove, S.K. (2004). Investigación en Enfermería. 3ª ed.  Madrid: Elsevier.

Cobo, E.; Muñoz, P.; González, J.A.; Bogorra, J. (2007). Bioestadística para no estadísticos: Principios para interpretar un estudio científico. Barcelona: Elsevier Masson.

Daniel, W. (2002). Bioestadística: base para el análisis de las ciencias de la salud. 4a ed. México D.F.: Limusa.

Dawson-Saunders, E. (2005). Bioestadística médica. 4a ed. México D.F.: El Manual Moderno.

Dunn, V.; Crichton, N.; Roe, B.; Seers, K.Y.; Williams, K. (1997). Using research for nursing practice: a UK experience of the barriers scale. Journal of Advanced Nursing. 26 ( 6 ): 1203-1210.

Icart, T. (1998). Enseñanza-aprendizaje de la atención sanitaria basada en la evidencia. Educación Médica. 1 ( 2 ): 57-62.

Manzano, V.; Varela, J.; García, A.; Pérez, F.J. (1999). SPSS para Windows. Madrid: Ra-Ma.

Martínez, M.A.; Faulín, F.J.; Sánchez, A. (2006). Bioestadística amigable. 2ª Ed. Madrid: Díaz de Santos.

Mayan, M. (2001). Una introducción a los métodos cualitativos. Módulo de entrenamiento para estudiantes y profesionales. México: Qualitative Institute Press. International Institute for Qualitative Methodology.

Milton, J.S. (1994). Estadística para biología y ciencias de la salud. 2a ed. Madrid: McGraw-Hill Interamericana.

Norman, G.R.; Streiner, D.L. (1996). Bioestadística. Madrid: Mosby/Doyma.

Pardo. G.; Cedeño, M. (1997). Investigación en salud. Factores sociales. Madrid: McGraw-Hill Interamericana.

Peña, D.; Romo, J. (1997). Introducción a la Estadística para las Ciencias Sociales. Madrid: McGraw-Hill Interamericana.

Polit.D.; Hungler, B. (2000). Investigación científica en ciencias de la salud. 6ª Ed. Madrid: McGraw-Hill Interamericana.

Quero, A.; Rosas, D.; Acosta., P.; Ramírez, D.; Rueda, B.; Robles, M. (1998). Requisitos de la publicación científica. Metas de Enfermería, 9: 27-32.

Sánchez Carrión, J.J. (1999). Manual de análisis estadístico de los datos. Madrid: Alianza Editorial.

Sentís, J.; Pardell, H.; Alentà, H.; Cobo Valeri, E.; Canela Soler, J. (2003). Manual de bioestadística. 3a ed. Barcelona: Masson.

Tomás-Sábado, J. (2009). Fundamentos de Bioestadística y análisis de datos para enfermería. Bellaterra: Servei de publicacions de la Universitat Autònoma de Barcelona.

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