1) Intentional sampling, 2) Observations and in-depth interviews, 3) Atlas.ti.
In 150 words, discuss how these tools and techniques support data collection and analysis in qualitative research.
How do they help ensure the richness and depth of the data?
Reply to at least one peer with a thoughtful comment or question.
Discussions started by HEREDIA ARBOLEDA EDGAR EDUARDO
Reflect on the following aspects of qualitative research:
1) Formulating the qualitative research problem, 2) Literature review and theory in qualitative research,
3) Immersion in the field environment.
In 150 words, discuss how these elements define the approach and depth of qualitative studies.
How do they guide the researcher’s connection to the data and participants?
Reply to at least one peer with a thoughtful comment or question.
1) Formulating the qualitative research problem, 2) Literature review and theory in qualitative research,
3) Immersion in the field environment.
In 150 words, discuss how these elements define the approach and depth of qualitative studies.
How do they guide the researcher’s connection to the data and participants?
Reply to at least one peer with a thoughtful comment or question.
Reflect on the following foundational concepts:
1) Ontology, 2) Epistemology, 3) Methodology.
In 150 words, explain how each concept influences the design and approach of qualitative research.
What role do these philosophical foundations play in shaping research questions and data collection methods?
Reply to at least one peer with a thoughtful comment or question.
1) Ontology, 2) Epistemology, 3) Methodology.
In 150 words, explain how each concept influences the design and approach of qualitative research.
What role do these philosophical foundations play in shaping research questions and data collection methods?
Reply to at least one peer with a thoughtful comment or question.
Reflect on the following types of regression:
1) Linear regression, 2) Multiple regression, 3) B-spline regression.
In 150 words, explain the key differences between these models and their specific applications in analyzing data.
How do they help in predicting outcomes and understanding relationships between variables?
Reply to at least one peer with a thoughtful comment or question.
1) Linear regression, 2) Multiple regression, 3) B-spline regression.
In 150 words, explain the key differences between these models and their specific applications in analyzing data.
How do they help in predicting outcomes and understanding relationships between variables?
Reply to at least one peer with a thoughtful comment or question.
1) ANOVA, 2) Blocking factors, 3) Multifactorial designs.
How do these designs enhance the validity and depth of quantitative research?
Write a 150-word reflection discussing their role in analyzing complex variables and improving research accuracy.
Respond to at least one classmate with a thoughtful insight or question.
How do these designs enhance the validity and depth of quantitative research?
Write a 150-word reflection discussing their role in analyzing complex variables and improving research accuracy.
Respond to at least one classmate with a thoughtful insight or question.