Quantitative
Qualitative
MM Designs
100
List two tools to collect quantitative information

Surveys

Structured interviews


100
What are other terms to define validity in qualitative studies? How do they differ from the quantitative ones?

Trustworthiness or authenticity. Qualitative validity comes from standards based on researchers, participants, and reviewers.

100

List the three basic mixed-methods designs and give a short description for each one. 

Convergent

Exploratory sequential

Explanatory sequential

200

What is the effect of your sample size on quantitative results? Provide an example.

The size of a sample influences the precision of our estimates and the power of the study to draw conclusions.

200

Mention the sampling approaches discussed in Qualitative research.

• Probability sampling: Not possible for many inquiries/studies
• Purposive sampling: Sampling to maximize range in order to capture “infrequent types”
• Convenience or snowball sampling

200

When is useful to transform qualitative data into quantitative or vice-versa in mixed-methods research?

More common in mixed methods research is to transform qualitative data into numeric counts (quantitative data) than vice versa. 

300

Describe three characteristics of a "good survey question"

Consistent Meaning

Avoid inadequate wording

The "Don't Know" option

Avoid multiple questions (double-barred)

Standardized expectations for response type

300

Mention the types of qualitative research that you remember. Explain one.

Narrative

Ethnographic

Phenomenological

Grounded theory

Symbolic interaction

Case study

Participatory action research

300

When can occur the integration of data in Mixed Methods research? Explain.

This can occur at a single point or multiple points: design, methods, interpretation, and reporting.

500

What are the differences when representing qualitative and quantitative data? 

In quantitative data analysis, researchers represent the results of the analysis in statements, tables, and figures. Statements of quantitative results generally identify the results and summarize the statistical evidence for those results.

In qualitative data analysis, representing the results may involve a discussion of the evidence for the themes or categories, the presentation of figures that depict the physical setting of the study, or diagrams presenting frameworks, models, or theories.

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