Learning objectives
The course aims to consolidate the methodological preparation of the students in view of the practical application of quantitative and qualitative research techniques. They will then be resumed and deepened, with a strong application cut, themes and methods introduced in the first year as well as teaching the main methods used in health research.
In particular, it will expand the ability to implement the critical analysis of national and international nursing and midwifery literature, and to develop and / or use research tools to study phenomena in the various areas of vocational training: this is facilitated by specific lessons Of English science.
It is also proposed to make students able to illustrate the main alternatives of setting up an empirical survey (drawing of research) based on the initial hypotheses and alternative theoretical approaches available.
Finally, the course aims to provide students with knowledge about theoretical concepts and tools for statistical analysis and the definition of indicators aimed at understanding and evaluating phenomena and social and health services. Thanks to a didactic based on exemplification, the student will develop the ability to apply the concepts learned, using methods for building indicators for citizen demand analysis at local level and for evaluating services and projects. At the end of the course, therefore, the student will be able to use integrated systems of indicators for the assessment of the social and health context.
The systematic approach to healthcare and socio-sanitary databases will help achieve these goals. Some points regarding qualitative research will be expanded with particular emphasis on the methodology of conducting the focus group, on its planning, management and data processing.
Finally, the student will be directed to the use of modern depth of information processing systems, in order to make it able to autonomously produce models and elaborations of data of increasing complexity.
Prerequisites
The examination of "Methods of Nursing and Obstetrician Research 2" can only be supported after passing the exams of "Statistics and Methodology of Nursing and Obstetrics Research" and "Epidemiological Methods of Study, Programming and Evaluation of Health Services".
Course unit content
Acquisition of tools that enable analysis and evaluation of phenomena and social health services.
Data collection techniques: from writing the questionnaire to different types of interview.
Quantitative scales: Likert, semantic differential.
Construction and validation of stairs.
Official statistics sources. Writing a scientific article. Critical analysis of nursing-midwifery research articles in both Italian and English
Clinical Evidence, Clinical Practice.
Writing an original thesis: from problem to presentation of results.
Biomedical resources, online databases, Medline, Cinahl.
Full programme
See: content, goals, and methods for verifying individual disciplinary modules
Bibliography
Balsamo M. (2017), Elementi di psicometria, McGraw Hill, Milano
- Chiorri C. (2020), Fondamenti di psicometria, McGraw Hill, Milano
Area Valutazione delle performance
- Baraldi S. (2005), Il Balanced scorecard nelle Aziende sanitarie, McGraw-Hill, Milano, Capp. 5,6,7,8
- Cifalinò A. (2012), Misurazione delle performance aziendali e valutazione della formazione, Angeli, Milano,
Area indicatori, test e scale
- Boncori L. (2006), I test in psicologia. Fondamenti teorici e applicazioni, Il Mulino, Bologna
Area delle analisi statistiche multivariate
- Bohrnsteid G.W., Knoke D. (1994), Statistica per le scienze sociali, Il Mulino, Bologna
- Corbetta P. (1992), Metodi di analisi multivariata per le scienze sociali, Il Mulino, Bologna
- Gallucci M., Leone L, Berlingeri M (2017), Modelli statistici per le scienze sociali, Pearson, Milano
Monographic texts, indicated at the beginning of the lessons.
Teaching methods
Part of the lessons will be conducted through interactive front-end teaching, even with the use of audiovisual media. The discussion in the classroom with the students on the proposed topics will be encouraged and encouraged. The didactic methodology of the course also includes the development, on an individual basis and through a work group, of contextual data tutorials for the construction of evaluation systems. Particular attention will be given to the teaching of critical analysis of research articles. Further emphasis will be placed on the practice of using the main statistical data processing software, in particular the direct use of the IBM-SPSS statistics software (data production and their interpretation).
Assessment methods and criteria
The degree of preparation achieved is verified by means of an oral exam including the solution of a statistical question to be developed with the help of your PC through the SPSS application; presentation and relative evaluation of the thesis project and critical analysis of a
research article.
Some parts of the exam will be held in written form (multiple choice quiz), with correction at the same time as the exam itself. Finally, there is an assessment of the skills acquired in the field of bibliographic research and scientific English.
Other information
Students are required to attend at least 60% of the total hours of the integrated course and at least 50% of the hours for each individual disciplinary module.
For any other information not included in this summary, please refer to the individual sheets of the disciplinary modules.
The degree of preparation achieved is verified by means of an oral exam including the solution of a statistical question to be developed with the help of your PC through the SPSS application; presentation and relative evaluation of the thesis project and critical analysis of a
research article.
Some parts of the exam will be held in written form (multiple choice quiz), with correction at the same time as the exam itself. Finally, there is an assessment of the skills acquired in the field of bibliographic research and scientific English.
2030 agenda goals for sustainable development
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