OFFICIAL PROGRAM
2016 / 17

SUBJECT

Research Methods: Observational and case study methodology

ECTS CREDITS6,00
SUBJECT CODEAS3GWMO
LANGUAGE IN WHICH IT IS GIVENCatalan  Spanish  
MODULE CODEMS3GMDI
MODULEResearch Methods
STUDIES
CODE
DEGREE
TYPE
YEAR
SEMESTER
GSIC
Grau en Psicologia
Compuls.
Third
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WSIC
Grau en Psicologia
Compuls.
Third
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COMPETENCIES THAT STUDENTS ACQUIRE IN THE MODULE

1. Know the epistemological grounds for the different research methods in psychology, their functions, characteristics and limitations.

2. Know the different research designs, procedures for the formulation and comparison of hypotheses and how to interpret results.

3. Be able to critically read the scientific bibliography, assess its suitability, situate it within an epistemological framework and identify and compare its contributions to available knowledge in the discipline.

4. Work in a team and be committed to the work group.

5. Collect, organise and classify research data and materials (documents, medical history, records, etc.).

6. Analyse and interpret data in the framework of the established disciplinary knowledge.

7. Take critical decisions on the selection, application and interpretation of the results stemming from different psychological research methods.

8. Use the channels of distributing and disseminating psychological knowledge and the rules and standards for scientific communication in psychology.

    Results of Learning:
    • Knowing techniques and methods for the research in psychology
    • Knowing how to perform a systematic scientific observación
    • Knowing how to design experiments acording to given objectives
    • Knowing basis of scientific writing

    PREREQUISITES

    To take this class, students must have taken the module ‘Learning Skills and Strategies for University I’.

    CONTENT LEARNING MODULE

    Experimental and quasi-experimental designs

    Contents:

    1. The scientific method.

    View of science, characteristics and stages of the scientific method.

    2. Classifications.

    Experimental method, quasi-experimental method, selective method and observational method.

    3. Experimental method.

    Characteristics, hypotheses, variables, designs, variable control. Validity of experiments: internal, external, for construction and for statistical conclusions. Experimental control techniques.

    4. Data analysis.

    Parametric tests and non-parametric tests.

    5. Univariate experimental designs.

    Random one-factor designs, random factors, for random blocks, with covariates, single factor with repeated measures, and repeated-measure factors.

    6. Non-experimental techniques: Questionnaires and survey techniques, estimation scales, interviews and other data collection techniques.

    7. Correlation and simple linear regression.

    8. Multiple linear regression.

    9. Introduction to multivariate analysis.

    Observation methodology and case studies

    Contents:

    1. Introduction to the observation method.

    Observer theory, classification of observable behaviour, organisation of observational research.

    2. Units of behaviour and categorisation.

    Behaviour segmentation, behaviour units, category systems, behavioural measures.

    3. Record-taking techniques.

    Observation sessions, sampling rules, recording rules, estimating behavioural measures, data acquisition technologies.

    4. Quality of data.

    Reliability, concordance, validity, observation errors.

    5. Psychometry and test design.

    Phases in constructing a test, Sampling and population, Items on a test, Analysis of items: Dispersion and discrimination difficulty, Test reliability and validity, Scoring a test: Scales and conversions.

    6. Sequence analysis for behaviour.

    Concept of sequence analysis, Transition frequencies and probabilities, Comparison of sequential association, Sequential pattern analysis.

    7. Qualitative methods.

    Ethnography, Case studies, In-depth interviews, Participant observation, Research-action.

    Seminar

    Contents:

    1. The scientific method (length: 3 classes):

    The aim of this block is to do practical work on the importance of the scientific method in all research areas. Introduction classes to the module will teach this method and will provide future psychologists with the bases for their work.

    2. Recording techniques (length: 4 classes):

    This block consists of applying everything learned in class on recording in a 20-30 minute video.

    3. Psychometry:

    This block is divided into two parts. The first so that students can work with a test that has been validated, defining and reviewing its sections, and the second so that they can work as researchers, facing the problems and points that must be taken into consideration to perform a test.

    LEARNING METHODOLOGY

    For both subjects:

    Experimental and quasi-experimental designs

    Observational method and case studies

    Large Group:

    - Presentation of topics involved in the subjects and qualifying assessment of an initial block of topics.

    Small Group:

    - Lecture classes to present the subject, with the support of the SPSS statistics package, which will require students’ active participation and for students to ask questions and make comments on the readings and assignments. Students shall have a contents guide available that they can use with blink.

    - Exercises to apply statistical techniques using the SPSS package.

    Interpret and assess results.

    - Combined activity for the module.

    - Reading of scientific articles prior to the class and classroom discussion.

    - Outside class and in small groups: group critical analysis of a scientific research article.

    - Presentation of a critical analysis on a scientific research article.

    - Qualifying controls on the subject through topics handled in the Large Group class.

    ASSESSMENT SYSTEM FOR THE ACQUISITION OF SKILLS AND CREDIT RECOVERY STRATEGIES

    Subject

    Evaluation will be formative (ongoing), with the aim of collecting continual information on the development of the learning process, and summative (at the end), in order to have an overall view of students’ actual learning compared to the goals for the subject syllabus.

    The critical skills for the subject are:

    2. Know the different research designs, procedures for the formulation and comparison of hypotheses and how to interpret results.

    3. Be able to critically read the scientific bibliography, assess its suitability, situate it within an epistemological framework and identify and compare its contributions to available knowledge in the discipline.

    5. Collect, organise and classify research data and materials (documents, medical history, records, etc.).

    6. Analyse and interpret data in the framework of the established disciplinary knowledge. (6)

    These skills are assessed according to these percentages:

    Large Group:

    - An exam for the first section (topics 1, 2, 3 and 4) 30%; students can make up this first part in the exam in January.

    - An exam on the second part in January (remaining topics): 30%

    - Total Large Group: 60%

    Small Group:

    - Qualifying controls on the subject through topics handled in the Large Group class: 30%

    - Combined assignments and projects on the module’s two subjects: 10%

    - Total Small Group: 40%

    If the weighted average of all areas evaluated is at least 5 (with at least 5 points in each area), students will pass the subject.

    If the examination in January is not passed, there will be a resit exam for the subject in June-July.


    Subject and seminar

    The grade for the subject will consist on evaluation tests (exams, activities, etc.) related to the competencies and skills worked at the seminar.

    The final grade of the subject will consist of:

    a) 75% of the grade obtained by examination/s and/or activities of the Big Group and Small Group.

    b) 25% of the grade obtained by the activities related to the seminar.

    Since the seminar activities are linked to the skills of the subjects, the results obtained in the space seminar will contribute 25% of the final grade of the subject. The weighted average grade will be computed only when the grade of the subject is equal to or greater than 5.

    If the student fails the seminar, this will affect the final grade for the subject, making lower weighted average (due to the application of the 25% of the seminar), but not lower than 5.

    The seminar applies a continuous assessment which requires mandatory attendance and active participation. These skills require a progressive learning and many of them are linked to the participation in the classroom, then attendance to 80% of seminar sessions is required in order to ensure their proper evaluation.


    Recovery Strategies:

    In the case of not passing the subject, students can retake the subject. If the Student fails to pass the subject in the second round, he/she will need to enroll in and attend the course again.

    The skills assessed in the seminar will not be recoverable in the second round (July).

    The percentage provided by the note of the seminar on the subject is only applicable in the first round. For the following exams, the student must pass the seminar, but its grade will not weight the grade of the subject. 

    Given that the big group and small group teaching areas are two of the same subject, note the small group is not saved for next year.

    • According to the systems prepared for this purpose and the period set by the faculty, the student will have to evaluate the module. This evaluation is part of the teaching and learning process and is very important for the development of the subject as it will help teachers to improve the quality of their teaching plan.

    BASIC BIBLIOGRAPHY

    Anguera M T (1991). Metodología observacional en la investigación psicológica, Vol. 1. Barcelona: PPU.

    Balluerka, N. (1999). Planificación de la investigación: la validez del diseño. Salamanca: Amarú.

    Daniel, W.W. (2002). Bioestadística. México: Limusa.

    García, M.V. (2002). Métodos y diseños de investigación científica. Barcelona: EUB.

    García, M.V. i Alvarado, J.M. (2000). Métodos de investigación científica en psicologiaexperimental,

    selectivo, observacional. Barcelona: EUB.

    Hernández, R., Fernández, C. i Baptista, P. (2007). Fundamentos de metodología de la investigaciónMadrid: McGraw-Hill.

    León, O. i Montero, I. (2006). Metodologías científicas en psicología.  Barcelona: UOC.

    León,O. i Montero, I. (1997). Diseño de investigaciones: introdución a la lógica de la investigación en psicología y educación. Madrid : McGraw-Hill.

    Martin P y Bateson P (1991). La medición del comportamiento. Madrid: Alianza. (Ed. orig. 1986).

    McGuigan, F.J. (1996). Psicología experimental: métodos de investigación (6ª ed.). México: Prentice Hall.

    Muñiz, J. (1998). Teoría Clasica de los Tests. Madrid: Pirámide.

    Pardo, A. i Ruiz,M.A. (2002). SPSS 11: guía para el análisis de datos. Madrid: McGraw-Hill.
    Pardo, A. i San Martín, R. (2010). Análisis de datos en ciencias sociales y de la salud II. Madrid: Síntesis.
    Pardo, A. i San Martín, R. (1999). Análisis de datos en psicología II. Madrid: Pirámide
    Pardo,A. i Ruiz,M.A. (2005). Análisis de datos con SPSS 13 Base. Madrid: McGraw-Hill.

    Pascual, J., Frías, D. i García, F. (1996). Manual de psicología experimental. Barcelona: Ariel.

    Riart, J., Baqués, M. i Virgili, C. (2010). Tests numéricos (TN): manual técnico y de aplicación con programa de desarrollo numérico. Madrid: CEPE

    Salvador, F. i Gallifa, J. (1997). Introducció al disseny experimental en psicologia. Barcelona: Edicions Proa / Universitat Ramon Llull.

    Salvador, F. i Pelegrina, M. (1993). El mètode científic en psicologia. Barcelona : Enciclopèdia Catalana.

    Wonnacott, T. H., y Wonnacott, R. J. (1997). Introducción a la Estadística. México:   Limusa.

     

    DATE OF THE LAST REVIEW08/09/2016