-
Presentation
Presentation
This CU aims to frame the statistical analysis procedures for conducting the dissertation.
-
Class from course
Class from course
-
Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 5
-
Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
-
Code
Code
ULHT6232-22787
-
Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
-
Professional Internship
Professional Internship
Não
-
Syllabus
Syllabus
1. Quantitative Data Analysis:
1.1. Descriptive statistics and inferential statistics
1.2. Parametric hypothesis tests: One sample t-test, Independent Sample t-Test; Paired Sample t-Test. 1.3. Analysis of variance with one or more factors
1.4. Analysis of variance with repeated measures
1.5. Simple and multiple linear regression
2. Qualitative Data Analysis:
2.1. The nature of qualitative research: specificities and usefulness in the social sciences
2.2. Qualitative data collection methods
2.3. Analysis Methods: Content Analysis
-
Objectives
Objectives
This curricular unit aims to provide an understanding of inferential statistics, addressing the general linear models. For a better adaptation of the program to the heterogeneity of the target population of this Cycle of Studies, the simplest linear statistical models will be approached, progressively deepening to more complex models. In a TP approach, theoretical concepts will be introduced using practical examples. Students should be able to understand the logic behind the various statistical analyzes and apply them, recognizing and testing alternative hypotheses.
-
Teaching methodologies and assessment
Teaching methodologies and assessment
The course, with TP classes, has an eminently applied component, where students apply the theoretical skills acquired through practical activities (conduction, analysis and discussion of the applied analytical procedures). Whenever possible, studies published in scientific journal in the field using the specific statistical models and data analysis techniques will be presented.
-
References
References
Denzin, N.K., & Lincoln, Y.S. (2017). Handbook of Qualitative Research. London: Sage.Field, A. (2009). Discovering statistics using SPSS. London: Sage.
Jaccard, J. & Robert T. (2003). Interaction effects in multiple regression. London: Sage Publications.Maroco, J. (2018). Análise estatística com o SPSS statistics (7a Ed.) Lisboa: ReportNumber.
-
Office Hours
Office Hours
-
Mobility
Mobility
No
