Degree | Type | Year | Semester |
---|---|---|---|
2500893 Speech therapy | OT | 4 | 1 |
There are no specific prerequisites.
The general objective of this course is to offer students the necessary skills to carry out in a methodologically correct way Bachelor's degree final project aimed at the scientific production in the field of communication and language.
To achieve this general objective, the student must be able to:
- Understand the structure and methodological contents of prototypical research papers published in the field of communication and language.
- Learn to write scientific reports based on the prototypical patterns that are provided.
The course reviews the fundamental methodological aspects of the three main types of Bachelor's degree final project aimed at scientific production:
- Revision works: systematic reviews with narrative and basic metanalytic results analysis.
- Empirical works that involve data collection and statistical analysis: experimental, quasi-experimental, single-case or observational (survey, ex-post facto or systematic observation).
- Creation or adaptation of tests and questionnaires.
All the contents are presented through prototype published searches and standardized reporting structures.
Traditional didactic techniques are combined with other resources aimed at encouraging meaningful learning.
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 | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Directed: Presentations and activities in the classroom | 36 | 1.44 | 20, 9, 10, 11, 12, 21, 13, 19, 17, 4, 26, 18, 8, 5 |
Type: Supervised | |||
Supervised: Tutoring | 7.5 | 0.3 | 9, 10, 13, 19, 17, 4, 8, 5 |
Type: Autonomous | |||
Autonomous: Reading texts and articles, conceptual abstracts, preparation and completion of work and personal study. | 100.5 | 4.02 | 20, 9, 10, 11, 12, 21, 13, 19, 17, 4, 26, 18, 8, 5 |
In this course the assessment is intended to fulfill a pedagogical function and not just accreditation, and all the evidences are programmed so that they can achieve the corresponding formative return.
Below are the learning evidences that the student will have to contribute, their type and their weight in the final qualification:
- Evidence 1. (First assessment period). Written individual or couple work delivered through Moodle. Contents: Scientific documentation and systematic reviews. Up to 2,5 points.
- Evidence 2. (First assessment period). Written individual classroom test. Contents: Creation and adaptation of tests and questionnaires. Up to 3,5 points.
- Evidence 3. (Second assessment period). Written individual classroom test. Contents: Data analysis. Up to 4 points.
Assessable students: a student is considered assessable when he/she has presented evidences of learning with a weight greater than or equal to 4 points; otherwise it will appear in final grade sheets as "Not Asessable (NA)".
Course passed: students has passed the course when they have obtained a minimum score of 5 points and all the proposed learning evidences have been assessed.
Resit examination: for those students that have not achieved the established criteria to pass the course and who have previously been assessed on a set of activities whose weight equals to a minimum of two thirds of the total score of the course and have obtained a minimum total score of 3,5 points.
No unique final synthesis test for students who enrole for the second time or more is anticipated.
https://www.uab.cat/web/estudiar/graus/graus/avaluacions-1345722525858.html
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Ev1. (First assessment period). Written individual or couple work delivered through Moodle. Contents: Scientific documentation and systematic reviews | 2,5 points | 2 | 0.08 | 2, 3, 1, 20, 6, 9, 16, 15, 14, 25, 24, 22, 23, 4, 26, 18, 7, 8, 27, 5 |
Ev2. (First assessment period). Written individual classroom test. Contents: Creation and adaptation of tests and questionnaires | 3,5 points | 2 | 0.08 | 6, 11, 21, 13, 25, 24, 22, 23, 5 |
Ev3. (Second assessment period). Written individual classroom test. Contents: Data analysis | 4 points | 2 | 0.08 | 6, 10, 11, 12, 21, 13, 19, 17, 25, 24, 22, 23 |
Basic bibliography
Students will have access through moodle to the documents in pdf format that constitute the basic bibliography of the course.
Complementary bibliography
Abad, F., Olea, J., Ponsoda, V. i García, C. (2011). Medición en Ciencias Sociales y de la Salud. Madrid: Síntesis.
American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.
American Psychological Association Publications and Communications Board Working Group on Journal Article Reporting Standards (2008). Reporting standards for research in psychology. Why do we need them? What might they be? American Psychologist, 63(9), 839-851.
APA Presidential Task Force on Evidence-Based Practice. (2006). Evidence-based practice in psychology. American Psychologist, 61, 271-285.
Atkins D.C., Bedics J.D., McGlinchey J.B., & Beauchaine T.P. (2005). Assessing clinical significance: does it matter which method we use? Journal of Consulting and Clinical Psychology, 73(5)5, 982-989. doi: 10.1037/0022-006X.73.5.982
Babbie, E. (2000). Fundamentos de la investigación social. México: Thomson.
Botella, J. & Sánchez Meca, J. (2015). Meta-análisis en ciencias sociales y de la salud. Madrid: Síntesis.
Botella-Ausina J., Suero-Suñe M., & Ximénez-Gómez C. (2012). Análisis de datos en Psicología I. Madrid: Ediciones Pirámide.
Espelt, A., Viladrich, C., Doval, E., Aliaga, J., García-Rueda, R. i Tárrega, S. (2014). Uso equitativo de tests en ciencias de la salud. Gaceta Sanitaria, 28, 408-410. doi: 10.1016/j.gaceta.2014.05.001
Guardia-Olmos J., Freixa-Blanchart M., Peró-Cebollero M., & Turbany-Oset J. (2010). Análisis de Datos en Psicología (2a Ed). Madrid: Deltapublicaciones.
Higgins, J. P. T., Green, S., & Cochrane Collaboration. (2008). Cochrane handbook for systematic reviews of interventions. Chichester, England; Hoboken, NJ: Wiley-Blackwell.
Higgins, J.P. T. & Green, S. (Eds.) (2011). Cochrane handbook for systematic reviews of interventions Version 5.1.0. The Cochrane Collaboration. Disponible a: www.cochrane-handbook.org. Versió española disponible a: http://www.cochrane.es/?q=es/node/269
Jacobson N, & Truax P. (1991). Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59 (1), 12–19. doi:10.1037/0022-006x.59.1.12.
Kazdin A.E. (1999). The meanings and measurement of clinical significance. Journal of Consulting and Clinical Psychology, 67(3), 332-339.
León, O. y Montero, I. (2003). Métodos de investigación en Psicología y Educación (3ª ed.). Madrid: McGrawHill.
Martínez Arias, M.R., Hernández, M.J. i Hernández, M.V. (2006). Psicometría. Madrid: Alianza Editorial.
Martínez-Arias R, Castellanos-López MA, & Chacón-Gómez JC. (2015). Análisis de Datos en Psicología y Ciencias de la Salud. Volumen I: Exploración de Datos y fundamentos. Madrid: EOS Universitaria.
Meneses, J. (Co.). (2013). Psicometría. Barcelona: FUOC.Martínez-Arias R, Castellanos-López MA, & Chacón-Gómez JC. (2015). Análisis de Datos en Psicología y Ciencias de la Salud. Volumen II: Inferencia Estadística. Madrid: EOS Universitaria.
Moreno, R.; Martínez, R.J. y Chacón, S. (2000). Fundamentos metodológicos en psicología y ciencias afines. Madrid: Pirámide.
Muñiz, J. (2009). Teoríaclásica de los tests. Madrid: Pirámide.
Pardo A., Ruiz M.A., & San Martín R. (2009). Análisis de datos en ciencias sociales y de la salud (I). Madrid: Editorial Síntesis.
Pardo A, & San Martín R. (2010). Análisis de datos en ciencias sociales y de la salud (II). Madrid: Editorial Síntesis.
Portell, M. & Vives, J. (2013). Mètodes d'investigació.Bellaterra: Universitat Autònoma de Barcelona.
Sánchez-Meca, J., & Botella, J. (2010). Revisiones sistemáticas y meta-análisis: herramientas para la práctica profesional. Papeles del Psicólogo, 31(1), 7-17.
Silva, L.C. (2000). Diseño razonado de muestras y captación de datos para la investigación sanitaria. Madrid: Diaz de Santos.
Solanas, A., Salafranca, L., Fauquet, J. y Núñez, M.I. (2005). Estadística descriptiva en Ciencias del Comportamiento. Madrid: Thomson.
Viladrich, C. i Doval E. (Eds.). (2008). Psicometria. Barcelona: Editorial UOC.
The free access software jamovi (https://www.jamovi.org/) will be used to perform statistical and psychometric analyses presented in the course.