Cuestionario sobre Métodos Mixtos de Investigación

Which sequence best represents exploratory design?. Survey → Survey. QUAN + QUAL simultaneously. QUAN → QUAL. QUAL → QUAN.

The sequential explanatory design is characterized by which sequence of data collection?. Qualitative data followed by quantitative data. Quantitative data followed by qualitative data. Experimental data followed by observational data. Qualitative and quantitative data collected simultaneously.

Which step involves choosing participants for the study?. Sampling. Data analysis. Literature review. Conclusion writing.

Which type of data is usually given priority in a sequential explanatory design?. Historical data. Qualitative data. Experimental data. Quantitative data.

Which sampling method is commonly used in qualitative research?. Probability sampling. Random sampling. Experimental sampling. Purposive sampling.

In an exploratory design, the study usually starts with: Qualitative methods. Statistical modeling only. Experimental methods only. Quantitative methods.

In mixed methods studies, researchers usually collect. both numerical and descriptive data. laboratory data only. only descriptive data. only numerical data.

In concurrent triangulation design, qualitative and quantitative methods generally receive: Equal priority. Priority only to qualitative methods. No weighting. Priority only to quantitative methods.

Which of the following best describes a transformative perspective?. It ignores social issues. It avoids theoretical frameworks. It focuses solely on numerical data. It seeks to empower participants and address inequities.

Which timing strategy involves collecting qualitative and quantitative data at the same time?. Concurrent timing. Delayed timing. Sequential timing. Longitudinal timing.

In mixed methods research, integration means. replacing statistics with interviews. combining both forms of data. avoiding conclusions. using only one method.

Which instrument is commonly used for quantitative data collection?. Open interview. Observation notes. Narrative journal. Questionnaire with scales.

Why is timing important in mixed methods research?. It affects how different datasets inform one another. It guarantees validity. It eliminates sampling errors. It determines the color of data displays.

In mixed methods studies, equal weighting means: Both qualitative and quantitative methods receive similar emphasis. Quantitative methods are always dominant. Data are collected from equal sample sizes. Qualitative methods are always dominant.

One advantage of the sequential explanatory design is that it: Requires less time than all other designs. Allows detailed explanation of quantitative findings. Avoids the use of interviews. Uses only one type of data.

A researcher wants to first explore a phenomenon and then test findings quantitatively. Which design is most appropriate?. Experimental design. Exploratory sequential design. Concurrent triangulation design. Sequential explanatory design.

Which situation is appropriate for mixed methods research?. Conducting laboratory experiments only. Measuring temperature only. Exploring both scores and student opinions. Using mathematical formulas only.

Which stage commonly involves mixing qualitative and quantitative findings?. Data interpretation. Sampling only. Literature review only. Instrument development only.

Why is the purpose of the study important when selecting a mixed methods design?. It eliminates the need for sampling. It determines the color of research reports. It guarantees significant results. It guides the choice of design that best addresses the research objectives.

Which of the following is an example of ethical research practice?. Fabricating data to support a hypothesis. Plagiarizing previous research. Obtaining informed consent from participants. Hiding study risks from participants.

Which is an advantage of qualitative research?. In-depth understanding of participants. Large statistical samples. Precise numerical measurement. Mathematical prediction.

The final purpose of research conclusions is to. replace the methodology. avoid interpretation. introduce unrelated ideas. answer the research questions.

When results from qualitative and quantitative data agree in a concurrent triangulation design, the outcome is called: Convergence. Divergence. Generalization. Saturation.

Which instrument is commonly used for qualitative data collection?. Multiple choice test only. Numerical tables. Closed surveys. Interviews.

Which type of data is quantitative?. Numerical scores. Open responses. Personal reflections. Narratives.

Which perspective is commonly associated with advocacy and change?. Positivist perspective. Descriptive perspective. Transformative perspective. Experimental perspective.

What distinguishes embedded design from triangulation design?. Triangulation excludes integration. Triangulation uses only qualitative data. Embedded design includes a dominant method and a secondary method. Embedded design uses only quantitative data.

Which challenge is commonly associated with concurrent triangulation design?. Collecting only one dataset. Lack of quantitative data. Absence of data analysis. Integrating conflicting results from different methods.

Which action violates research ethics?. Manipulating data to achieve desired outcomes. Citing sources appropriately. Maintaining transparency in reporting. Allowing participants to withdraw voluntarily.

In mixed methods research, weighting refers to: Assigning numerical values to participants. Ranking variables by significance. Determining the importance given to qualitative and quantitative components. Calculating sample size.

When choosing a mixed methods design, timing refers to: The number of participants. The duration of the literature review. The publication date of findings. When qualitative and quantitative phases occur relative to each other.

Which approach is more flexible during data collection?. Statistical approach. Qualitative approach. Quantitative approach. Experimental approach only.

Why is confidentiality important in research?. It protects participants' private information. It increases sample size. It eliminates researcher bias. It guarantees positive results.

In embedded design, the secondary dataset is often used to: Eliminate the need for interpretation. Replace the primary dataset. Support and enrich the primary dataset. Reduce validity.

Which question investigates participants' opinions?. How often are classes offered?. How do students feel about virtual classes?. How many students attended class?. What percentage passed the exam?.

Which example best illustrates an embedded design?. A meta-analysis of quantitative studies. Two independent surveys conducted separately. A purely qualitative ethnography. A survey study that includes a few interviews to provide context.

Transformative perspectives in research often focus on: Economic forecasting exclusively. Statistical significance only. Laboratory experimentation. Social justice and marginalized groups.

Which is a strength of quantitative research?. Objective measurement of variables. Personal interpretations. Flexible interview responses. Deep narrative explanations only.

Which factor should researchers consider when selecting a mixed methods design?. Research questions. Expertise in qualitative and quantitative methods. All of the above. Available resources and time.

Which is an example of a quantitative research question?. Why do students dislike homework?. How do students feel about online learning?. What are teachers' experiences in class?. How many students prefer online classes?.

Which example best illustrates an embedded design?. A meta-analysis of quantitative studies. Two independent surveys conducted separately. A purely qualitative ethnography. A survey study that includes a few interviews to provide context.

Which mixed methods design collects one type of data after the other?. Cross-sectional design. Sequential design. Concurrent design. Ethnographic design.

Which sampling method gives all participants an equal chance of selection?. Stratified sampling. Convenience sampling. Purposive sampling. Random sampling.

What is the difference between quantitative and qualitative research?. Quantitative research is focused on participants' lived experiences while Qualitative research is focused on participants' culture. Quantitative research is subjective while Qualitative research is objective. Qualitative research works with a large sample size while Quantitative research works with a small sample size. Qualitative research focuses on words and meanings while Quantitative research deals with numbers and statistics.

What is the main purpose of mixed methods research?. To avoid data analysis. To replace qualitative research. To gain a more complete understanding of a problem. To use only numerical information.

Which is a limitation of mixed methods research?. It may require more resources. It avoids data interpretation. It requires little planning. It uses only qualitative data.

After identifying the research problem, researchers usually. skip sampling. start the literature review. formulate research questions. avoid data collection.

Which characteristic belongs to qualitative research?. Numerical measurements. Experimental design only. Statistical analysis. Exploration of meanings and experiences.

Qualitative research mainly seeks to. measure variables numerically. calculate percentages. understand human experiences. test hypotheses statistically.

Which approach usually uses smaller, detailed samples?. Experimental approach. Statistical approach. Quantitative approach. Qualitative approach.

Which tool is most commonly used in quantitative research?. Observation journals. Surveys with closed questions. Focus groups. Open interviews.

Data analysis in quantitative research often involves. calculating statistics. interpreting stories only. coding narratives only. observing participants.

Which step comes after data collection?. Sampling. Data analysis. Selecting participants. Defining variables.

Which is an advantage of quantitative research?. Flexible interview structure. Narrative explanations only. Easy statistical comparison. Detailed life stories.

Which type of sampling is non-probabilistic?. Purposive sampling. Stratified sampling. Systematic sampling. Random sampling.