Class Quantitative Methods for Social Work

  • Presentation


    The UC of Quantitative Methods for Social Work is a unit integrated in the 2nd year of the degree in Social Work and aims to provide students with skills to build information collection tools, as well as to analyze and interpret their results.

  • Code


  • Syllabus


    I - Introduction

    1. The importance of data analysis in Social Work
    2. The different data analysis techniques and supporting software
    3. Quantitative methods in scientific research
    4. Universe and sample: sampling techniques

    II - The inquiry by questionnaire

    1. Advantages and disadvantages, modalities and phases
    2. The construction of a questionnaire (Question Types, Formulation and Sequence; Pre-Test and preparation of field work)

    III - The analysis of quantitative data (SPSS)

    1. Building databases and preparing for data analysis
    2. The different statistical techniques
    3. Univariate and bivariate analysis (measurements and graphic illustration, data reading and interpretation)

    IV - Complementarity between quantitative and qualitative data (Use of Lvivo)

    1. The use of computer programs in content analysis
    2. Basic conceptual instruments
    3. The stages of analysis organization (coding, categorization, revision of the categories, creation of a final analysis grid; output and analysis of results).
  • Objectives


    This UC aims to confer skills and knowledge in the application and operationalization of Quantitative Methods of Scientific Research, in order to prepare professionals able to analyze the complexity of institutions, their strategies and models of operation and also the dynamics of the variables present in its internal and external relations, allowing the constitution of a base of original developments in this area of knowledge. To this objective, at the end of the unit students should:

    • Be able to operationalize concepts and interpret data that allow them to compare and analyze situations of social reality, using analysis tools and software;
    • Be able to produce a database;
    • Be able to handle, extract and interpret information from data analysis programs.
  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    The pedagogical methodology to be privileged is of an interactive nature, with the predominant concern of the students to participate in the search and elaboration of KNOWLEDGE, in order to lead them to reach the KNOW-DO dimension. The classes are of expository nature interspersed with the practical application of the taught subject, allowing to stimulate the internalization of concepts and their application to analogous situations of social reality.
    The evaluation is continuous, being that: 50% of the final grade is awarded to the individual written test; 40% to written work (group) and 10% to class participation / attendance.

  • References


    • Bardin, L. (2014). Ana¿lise de conteu¿do. Lisboa: Edic¿o¿es 70.
    • Fortin, M. (2009). O processo de investigação ¿ da conceção à realização. Loures: Lusociência.
    • Hill, M., & Hill, A. (2016). Investigação por questionário. Lisboa: Edições Sílabo.
    • Laureano, R, & Botelho, M. (2017). SPSS ¿ Statistics O meu manual de consulta rápida. Lisboa: Edições Sílabo.
    • Pestana, M. & Gageiro, J. (2014). Análise de dados para Ciências Sociais: a complementaridade do SPSS. Lisboa: Edições Sílabo.


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