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Acuerdo Intercodificadores con ATLAS.ti (Windows y Mac)

Sobre esta formación

¿Está trabajando en un equipo, pero no sabe cómo aprovechar las herramientas de acuerdo entre codificadores de ATLAS.ti? En este curso aprenderá los fundamentos metodológicos para realizar un análisis de acuerdo entre codificadores. Como parte del curso, pasará por todos los pasos desde la creación de un proyecto, la codificación, la fusión, el cálculo y la interpretación de los coeficientes ICA.

Aprenderás

  • Qué es la acuerdo entre codificadores
  • Cómo se calcula el acuerdo entre codificadores
  • Cómo establecer un proyecto y prácticas de codificación para la concordancia entre codificadores
  • Cómo interpretar y comunicar los resultados de la concordancia entre codificadores

What participants say

Philip (post grad student): "For me, reliability of data and its analysis is a very important part of a student’s thesis. Whether the student is coding the data him/herself, or as part of a team, it is really important s/he pays attention to reliability. Individual students in particular can fall foul of the question of reliability by wrongly assuming what they have done themselves is adequate and not making use of proven mechanisms to check and underpin such assumptions.

Attending the course was a great way for me to learn about data reliability mechanisms, but what I found really helpful was the way Susanne incorporated not only the rationale and logic (and some maths!) behind the theory, but you also gave detailed process steps for implementing the methods in ATLAS.ti, which we then used in class exercises. Thus, as a small group, each of us was able to share the data files, code data, and act as ‘principle investigator’ importing and merging the files back to a single project to trigger the results – at a simple press of a button, thanks to ATLAs.ti - which we then interpreted with Susanne's guidance."

PhD student: “Through this course I gained both a conceptual understanding of what inter-coder agreement is and how to measure it using ATLAS.ti. After taking this course I have the ability to successfully conduct my own inter-coder agreement analysis and interpret the results. This course is great for researchers both new and experienced with qualitative data analyses.”

Inglés
Múltiples versiones de ATLAS.ti
Windows, Mac
Este curso tuvo lugar el 20.06.2022. Si desea recibir notificaciones sobre futuros cursos, suscríbase al boletín de ATLAS.ti
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