Description

This study focuses on the analysis and application of data related to sexist incidents recorded in a system or framework known as the Schedule of Sexist Events (SOSE). The aim is to understand the patterns and impacts of sexist behaviors and events, as well as to identify potential preventive measures or interventions.

Data Analysis and Use

The analysis of SOSE data includes the following steps:
Data Collection: Gathering information on sexist incidents from various sources.
Categorization: Grouping the data based on the types and characteristics of the incidents.
Pattern Analysis: Examining the trends and patterns that emerge from the data.
Impact Assessment: Evaluating the effects of sexist incidents on social or professional conditions.
Intervention Strategies: Developing proposals for preventing and addressing such incidents.

References

Related Studies and Research: Articles and studies analyzing sexist events and their consequences.
Data Analysis Tools: Sources describing the methods and tools used for analysis.
Policies and Guidelines: Manuals and directives concerning the prevention and handling of sexism.
Statistical Studies: Works including statistical analysis regarding the frequency and characteristics of sexist incidents.