I used mixed methods for assessing modular distance learning to propose a program for the coming school year. I have three respondents (10 learners, 10 parents, 10 teachers) and used a questionnaire and an open-ended question for my respondents. What is statistical treatment should I used?
The idea is in the number of groups, not the variables
Determine the number of groups and independent variables
Determine the measurement tools to be used
The mixed curriculum depends on the type of tools
Quantitative Method Observation Tests Survey
Qualitative Curriculum Portfolio the interview,rubric
El hecho que utilices una pregunta abierta al final del cuestionario, no significa que sea método mixto.... primero debes determinar el diseño "mixto" para luego determinar en que apartado harás la triangulación.... Respecto del análisis, depende de tu objetivo y de tus hipótesis, con una primera mirada, haría índices por colectivo de respuesta y luego confirmaría con una regresión o análisis factorial... pero depende de los objetivos.
One option would be to use ANOVA to compare your three categories, but can you say more about what your independent and dependent variables are?
While 30 participants isn’t strong sample size for parametric analysis- n might not give robust analysis- I suggest you give further explanations to your IDV and DV? This will assist with the correct statistic n choice.
It depends on the treatment you want to use to the data. You should refer to Creswell's book. In mixed designs, the first thing to do is assess whether the CUAN part has more weight than the CUAL, the other way around or both the same weight and complement each other. For my doctoral thesis and several articles we have used a mixed concurrent triangulation design. In my profile you can highlight several studies that use this type of methodology and bibliographic references.
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