Degree | Type | Year |
---|---|---|
Nursing | FB | 1 |
You can view this information at the end of this document.
none
This subject contains the basic training in scientific methodology and biostatistics of the degree. Nurses, whenpracticing their profession, face a set of situations-problems that put their abilities to the test (selection ofinformation, organization of reasoning, distinction between the fundamental and the accessory, statisticalinterpretation of health problems, etc.)
The purpose is to structure a critical and thoughtful thinking that allows the critical reading of research in healthsciences and the analysis of health problems using statistics to promote a practice nurse of excellence.
The subject raises the basic knowledge and skills to apply in the accomplishment of the degree's final project.
Below is a brief description of the subject:
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
CLASSROOM PRACTICES | 10 | 0.4 | 2, 1, 3, 6, 7, 8, 10, 11, 12 |
LABORATORY PRACTICES | 17 | 0.68 | 3, 4, 7, 12 |
SEMINARS | 10 | 0.4 | 2, 1, 5, 6, 7, 8, 9, 10, 12 |
THEORY | 28 | 1.12 | 2, 1, 5, 4, 6, 7, 8, 9, 10, 11, 12 |
Type: Supervised | |||
TUTORIALS | 1 | 0.04 | 2, 6, 7, 8, 9, 10, 11, 12 |
Type: Autonomous | |||
Self study | 76 | 3.04 | 3, 5, 4, 7, 8, 9, 10, 11 |
The learning methodologies are the backbone for the achievement of both theoretical content and skills involved in reflective-critical thinking when solving nursing problems based on the scientific method. The following is a brief description of each learning methodology
In Theory, necessary theoretical contents of the scientific methodology and the biostatistics will be taught.
In the seminars (SEM) the students will work in small groups. They will be introduced to the critical and reflective reading of original articles in the field of nursing and/or health sciences. As an example look at the Impacto en la salud del programa de intervención comunitaria «Educación para la salud en la adolescencia». These seminars will help to identify and discuss about real examples (original/scientific articles) the theory previously done. The original articles reflect the results of some of the nursing interventions. The critical reading of those articles will guide the nursing decision making based on the scientific method.
The laboratory practices (Plab) belong to the two blocks: 17h where quantitative data will be analyzed with analysis software, their interpretation will be performed and it will be shown how to present the results in the scientific environment. Also, searches for information in scientific databases will be carried out prior planning. The two four-hour PLABs that belong to the biostatistics block are mandatory. Failure to attend one of these PLAB without valid justification (see valid and invalid concepts in the guide on the rescheduling of tests to the UDCMB: https://www.uab.cat/doc/doc_guia_reprogramacio will result in the loss of one third of the maximum total grade of theBiostatistics work (i.e. 0.5 points onthe total grade of the subject). Failure to attend the two PLAB will result in the loss of the entire grade for the Biostatistics paper (i.e., 1.5 points of the total grade for the subject).
The classroom practices (PAUL) will work on concepts associated with both scientific methodology and biostatistics.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Evaluation by submitting written works | 30% | 2 | 0.08 | 2, 1, 3, 5, 6, 7, 8, 10, 11, 12 |
Objective written test evaluations (Biostatistics) | 35% | 3 | 0.12 | 1, 5, 6, 7, 8, 9, 10, 11, 12 |
Objective written test evaluations (Scientific methodology) | 35% | 3 | 0.12 | 1, 3, 5, 4, 6, 7, 8, 9, 10, 11, 12 |
ONGOING EVALUATION
All the evaluation activities are compulsory, in case of not presenting it will be graded as Not Evaluable (NA) and will be quantified as zero (0). The evaluation of the subject is structured as follows:
The final mark of the course is the weighting of the 4 ongoing assessment tests. In order to pass the course a minimum of 5.0 in the final grade is required. If the ongoing assessment is failed, the student may sit the retake exam. It must be taken into account that, according to general regulations, in order to take part in the final exam, students must have been previously assessed in a set of activities whose weight is equivalent to a minimum of two thirds of the total grade of the subject. This retake exam will include the entire syllabus of the failed assessment test.
Use of IA:
The use of Artificial Intelligence technologies (IA) for this subject is allowed exclusively in support tasks such as proofreading or translations or audiovisual support. The use of IA in support tasks such as bibliographic or information search or any other knowledge generation task is prohibited. The student will have to clearly identify which parts have been generated with this technology, specify the tools used, include a critical reflection on how these have influenced the process and the final result of the activity and reference them (as specified in Bibliography). The non-transparency of the use of IA in this evaluable activity will be considered academic dishonesty and may result in a total penalty in the grade of the activity, or higher penalties in serious cases.
Retake:
Definition of NOT ASSESSABLE (NA): it will be understood as Not Assessable (NA) that situation in which the student does NOT present 50% or more of the evaluation activities.
Test Review: all students have the right to review the evaluation tests by appointment with the corresponding teacher. Thereview will consist of an individual tutoring session in which students will receive feedback regarding their evaluation.
The treatment of particular cases will be made from a teaching committee (formed by the subject coordinator,and 2 of the teachers of the same, 1 from each department involved) where the particular situation of each student will be evaluated and the mostappropriate decisions will be taken.
ONE-TIME EVALUATION:
Students who wish to add to the single evaluation must do so following the deadlines established by academic management. The same day of the single evaluation will be evaluated the whole course with its corresponding evaluation activities. One-time evaluation will be a multiple-choice test with the following content:
The final mark of the single evaluation is the mark of the multiple-choice test.. In order to pass the subject with One-time evaluation it is necessary to obtain a minimum of 5.0 in the final grade.
Definition of NOT ASSESSABLE (NA): Not Assessable shall be understood as the situation in which the student does NOT sit for the single evaluation exam.
The retake ofthe one-time evaluation takes place on the same day as the retake of the ongoing evaluation. In the retake exam, the student is assessed on the failedtest/s. The number of exams and structure will be the same asfor the one-time evaluation. The calculation of the final mark for the subject follows the same criteria.
The review of the final score (including that of the retake) follows the same procedureas for the ongoing evaluation.
Selected references:
Referral bibliography:
Citing AI use: Since some use of AI is allowed, AI must be cited. To know how to cite it see Citar y elaborar Bibliografías. Estilos bibliográficos: COMO CITAR INTELIGENCIA ARTIFICIAL (IA).
Reading Por qué ChatGPT no puede firmar artículos científicos. Javier Palanca.
Internet Sources
The Jamovi statistics program is used in the biostatistics laboratory practices.
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PAUL) Classroom practices | 101 | Catalan | second semester | morning-mixed |
(PAUL) Classroom practices | 102 | Catalan | second semester | morning-mixed |
(PAUL) Classroom practices | 103 | Catalan | second semester | morning-mixed |
(PAUL) Classroom practices | 104 | Catalan | second semester | morning-mixed |
(PAUL) Classroom practices | 105 | Catalan | second semester | afternoon |
(PAUL) Classroom practices | 106 | Catalan | second semester | afternoon |
(PLAB) Practical laboratories | 101 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 102 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 103 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 104 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 105 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 106 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 107 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 108 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 109 | Catalan | second semester | afternoon |
(PLAB) Practical laboratories | 110 | Catalan | second semester | afternoon |
(PLAB) Practical laboratories | 111 | Catalan | second semester | afternoon |
(PLAB) Practical laboratories | 112 | Catalan | second semester | afternoon |
(SEM) Seminars | 101 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 102 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 103 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 104 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 105 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 106 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 107 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 108 | Catalan | second semester | morning-mixed |
(SEM) Seminars | 109 | Catalan | second semester | afternoon |
(SEM) Seminars | 110 | Catalan | second semester | afternoon |
(SEM) Seminars | 111 | Catalan | second semester | afternoon |
(SEM) Seminars | 112 | Catalan | second semester | afternoon |
(TE) Theory | 101 | Catalan | second semester | morning-mixed |
(TE) Theory | 102 | Catalan | second semester | morning-mixed |
(TE) Theory | 103 | Catalan | second semester | afternoon |