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Presentation
Presentation
Statistics for the Social Sciences is an integrated curricular unit in the Social Work 2nd year degree and aims to provide students with basic notions of descriptive statistics and skills for building instruments for collecting and analyzing information, as well as the interpretation of results. This curricular unit aims to provide skills in the operationalization of quantitative data, to prepare professionals to analyse the complexity of variables and their internal relations with the exterior, allowing the development of knowledge in Social Work.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
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Code
Code
ULP733-10288
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
1. Basic concepts in statistics and data analysis 1.1. Quantitative methods in Social Work 1.2. Basic statistics and data analysis concepts: the scientific method, variables, and hypotheses. 1.3. The importance of data analysis in Social Work 1.4. Different data analysis techniques and supporting software 1.5. Variables and classification systems for variables and samples 1.6. IBM SPSS interfaces: computerization, management, and recoding of data 2. Descriptive Statistics 2.1. Measures of central tendency 2.2. Dispersion measures 2.3. Preparation and analysis of tables and graphs 3. Exploratory data analysis 3.1. Parametric and non-parametric tests 4. Introduction to Inferential Statistics 4.1. Statistical probabilities and statistical errors 4.2. Association Tests 5. Report data analysis and results in Social Work
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Objectives
Objectives
At the end of this curricular unit, the student should be able to operationalize concepts and interpret data that allow them to compare and analyse situations of social reality, using tools and software for analysis, namely: O1: Be able to operationalize concepts and interpret data, within the scope of descriptive statistics; O2: Recognize and use the interfaces of the IBM SPSS software (Statistical Package for Social Sciences) for computerization data and analysis of descriptive statistics, distribution normality, and association tests; O3: Identify, use, and interpret results of statistical association tests; O4: Select and apply, in a critical and reasoned way, the most appropriate statistical procedure to answer research questions; O5: Present the results of data analysis using tables and graphs and interpret the results correctly, answering research questions in Social Work.
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Teaching methodologies and assessment
Teaching methodologies and assessment
The classes assume a theoretical-practical nature, and the contents will be taught in a constant interconnection between its theoretical exposition, application, and practical interpretation using SPSS, using active teaching/learning methodologies. Assessment will include two stages: an assessment test (50%) and preparing and presenting a report/scientific production using SPSS (50%).
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References
References
Coutinho, C. (2021). Metodologia de Investigação em Ciências Sociais e Humanas: teoria e prática. Almedina. Fortin, M. F. (2009). Fundamentos e etapas do processo de investigação. Lusodidacta. Haaker, M (2019). Choose Your Statistical Test: little quick fix. Sage Publications. Martinez, L., & Ferreira, A. (2010). Análise de dados com SPSS: Primeiros passos. Escolar Editora. Martins, C. (2011). Manual de análise de dados quantitativos com recurso ao IBM SPSS: Saber decidir, fazer, interpretar e redigir. Braga: Psiquilíbrios.
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Office Hours
Office Hours
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Mobility
Mobility
No
