The module promotes the learning and application of appropriate statistical analysis methods for research in the educational field. In this context, the use of tools suitable for summarizing and evaluating information is developed, with an introduction to the use of computational software. The basic concepts of descriptive statistics are presented, with a focus on analyzing the relationship between two statistical variables, distinguishing approaches based on whether the measurement level is qualitative or quantitative.
Expected learning outcomes
By studying the topics of this module, the student will be able to achieve the following expected learning outcomes:
In terms of knowledge and understanding
- to define and identify the epistemological and methodological field of the discipline;
- to distinguish the various theoretical areas with reference to bivariate descriptive approaches.
In terms of applying knowledge and understanding
- to analyze and synthesize the relationship between two qualitative statistical variables, or between one qualitative and one quantitative variable;
- to analyze and synthesize the relationship between two quantitative statistical variables.
In terms of making judgments
- linking statistical theory to school situations;
- to formulate opinions on the phenomenon under investigation, also considering potential causes.
In terms of communication skills
- to present the obtained results, adapting them to the type of audience;
- to communicate the obtained results, stimulating a shared discussion.
In terms of learning skills
- to develop a willingness to engage in scientific research in school settings;
- to access statistical literature in the educational field, identifying reliable sources.
Expected learning outcomes
By studying the topics of this module, the student will be able to achieve the following expected learning outcomes:
In terms of knowledge and understanding
- to define and identify the epistemological and methodological field of the discipline;
- to distinguish the various theoretical areas with reference to bivariate descriptive approaches.
In terms of applying knowledge and understanding
- to analyze and synthesize the relationship between two qualitative statistical variables, or between one qualitative and one quantitative variable;
- to analyze and synthesize the relationship between two quantitative statistical variables.
In terms of making judgments
- linking statistical theory to school situations;
- to formulate opinions on the phenomenon under investigation, also considering potential causes.
In terms of communication skills
- to present the obtained results, adapting them to the type of audience;
- to communicate the obtained results, stimulating a shared discussion.
In terms of learning skills
- to develop a willingness to engage in scientific research in school settings;
- to access statistical literature in the educational field, identifying reliable sources.
teacher profile teaching materials
Capitoli e paragrafi da studiare sul testo di Corbetta, Gasperoni e Pisati
Capitolo 4: tutto Capitolo 5: tutto (esclusi: paragrafo 2; paragrafo 3; Chi-quadrato e V di Cramér; sottoparagrafo 4.2; sottoparagrafo 4.3 sottoparagrafo 4.4; paragrafo 5)
Programme
Bivariate contingency tables, correlation analysis (covariance, correlation coefficient).Core Documentation
CORBETTA P., GASPERONI G., PISATI M., Statistica per la ricerca sociale, Il Mulino, Bologna, 2001.Capitoli e paragrafi da studiare sul testo di Corbetta, Gasperoni e Pisati
Capitolo 4: tutto Capitolo 5: tutto (esclusi: paragrafo 2; paragrafo 3; Chi-quadrato e V di Cramér; sottoparagrafo 4.2; sottoparagrafo 4.3 sottoparagrafo 4.4; paragrafo 5)
Attendance
Mainly online teaching + 1 e-tivity + 6 in--person hoursType of evaluation
The final assessment will take into account the student’s ability to apply the fundamental elements of statistics to partially known situations, as well as their ability to develop and use more complex analytical methodologies. A computer-based written exam is scheduled, consisting of a maximum of 20 multiple-choice questions to be completed within 20 minutes.