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Organizado por Escuela de Doctorado de la Universidad Complutense

Actividades Formativas - Economía del comportamiento: aproximación a la Metodología Experimental en Ciencias Sociales. Methodology in Behavioral Science. (2ª Edición) (ONLINE)

  • Fechas:

    Del 12/04/21 al 20/04/21

  • Lugar:

    Campus Virtual, Universidad Complutense de Madrid, Madrid, España (mapa)

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This course is a course about Methodology in Behavioral Sciences (BS). You will understand social sciences research basic concepts, the scientific method, and the types of designs typically used in BS. We will work in the different types of designs from experimental to non experimental methods using the statistics for understanding BS research. We will see descriptive and inferential statistics in order to interpret significant and non significant results, understanding the basis of BS research in simple and complex designs. You will learn how to report results of a research using the standards in BS research as well as how to show them to other scientists.

You will do your own design, analysis and scientific report both individually and in groups. Your will learn how to critically interpret others researches. Everything will be done through a combination of readings, class discussions and hands-on laboratory experience.


At the end of the course you will:

  1. Know the different steps for doing a research in BS as well as the ethical issues in the conduct of BS research.
  1. Know how to use data bases to do a scientific search as well as to identify indexes for high quality research.
  1. Identify different types of designs: experimental, quasi-experimental, ex-post-facto, and observational and their characteristics and potential flaws.
  1. Decide what type of design would be better for certain objectives in terms of reliability and validity.
  1. Interpret your own and others results in terms of significant and non significant results for simple and complex designs and determine potential research problems.
  1. Report your own results in a high quality way to other researchers and critically interpret others results in terms of methodology and statistical understanding.

DESTINATARIOS: Alumnos de programas de doctorado de Ciencias Sociales de la UCM que quieran formarse en Metodología Experimental para poder usar experimentos en su investigaciones de manera rigurosa, que no hayan realizado la actividad en la anterior edición.

IMPARTIDO POR: Dr. David Pascual Ezama.

DURACIÓN: 20 horas.

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Abr 2021
  • 16:00 - 20:00
    Session 1: INTRODUCTION

    Scientific Knowledge. The Scientific Method. Objectives and Hypotheses. Participants and Ethical Issues in the Conduct of Psychological Research. Inform Consent. Questions and the use of Data Bases. High quality research indexes. Quantitative and Qualitative methods.

Abr 2021
  • 16:00 - 20:00

    Measurement concepts, types of variables. Reliability and Validity as an essential part of the research process. Types of reliability and validity. Types of designs: experimental, quasi-experimental, ex-post-facto designs, descriptive designs (observational and survey research) and qualitative designs.

Abr 2021
  • 16:00 - 20:00

    Manipulating and controlling variables. Causality. Validity and Reliability in experimental designs. Independent Groups Designs. Repeated Measures Designs. Complex Designs. Interpreting Interaction. Adding statistics: significant and non significant results and interaction. Problems in experimental designs. Special experimental designs.

Abr 2021
  • 16:00 - 19:00

    From experimental to non-experimental: internal and external validity. Basic and Applied BS. Intervention in BS. Causality in non-experimental designs. Types of quasi-experimental designs: pre-post designs and interrupted series design with and without comparison group. Minimizing threats of validity in quasi-experimental designs. Advances in quasi-experimental designs.

    Retrospective and Prospective designs. Complex prospective designs. Cohort or panel studies. Minimizing threats of validity in ex-post-facto designs. Adding statistics: analyzing data in non-experimental designs.

    APA style and how to do a high-quality scientific report. Scientific writing. Title, abstract, methods, results and discussion. Tables and Figures. References in an out the main text. Paper example APA style. Deciding the journal to send the paper. Conferences and presentations: poster and power point presentations. A High-quality talk in science.

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