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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. Jamovi 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 tests and statistical errors 4.2. Correlation and regression 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 jamovi 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
Teaching methodologies
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 jamovi, using active teaching/learning methodologies. Assessment will include two tests (50% each).
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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. Jamovi (2020). Analyses. https://docs.jamovi.org/index.html Marôco, J. (2024). Fundamentos de Estatística. ReportNumber. Navarro, D., & Foxcroft, D. (2025). Learning Statistics with jamovi. A Tutorial for Beginners in Statistical Analysis. Open Book Publishers. https://doi.org/10.11647/OBP.0333
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Assessment
Assessment
Descrição
Ponderação
Teste de avaliação
50%
Teste de avaliação
50%
A frequência e assiduidade segue o descrito no artigo 11º do Despacho Reitoral nº24/2023, o número máximo de faltas corresponde a 30% do total de aulas. A presença e assiduidade a provas, segue o descrito no artigo 12º do Despacho Reitoral nº24/2023, a ausência do estudante a provas, ou a não entrega do trabalho nos termos estabelecidos, resulta da inexistência de avaliação a esse momento de avaliação ou prova.
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Mobility
Mobility
No
