Mixed Methods Research Flashcards

Question 1

What is the basic definition of mixed methods research?

Accepted Answer

Mixed methods research is an approach that collects, analyzes, and integrates both quantitative and qualitative data within one study or a connected set of studies. The integration is what distinguishes it from simply using two methods side by side. Researchers use it when neither data type alone fully answers the question.

Question 2

Why do researchers combine quantitative and qualitative methods in a single project?

Accepted Answer

Researchers combine the two because each approach covers gaps the other leaves open. Quantitative data can show how much, how often, or how strongly something occurs across a population. Qualitative data can explain why it occurs and how people experience it. Using both gives a fuller and more credible answer than either alone.

Question 3

What is pragmatism and why is it often linked to mixed methods research?

Accepted Answer

Pragmatism is a philosophical stance that judges ideas by their practical consequences and how well they solve a problem. Many mixed methods writers link it to the approach because it lets researchers choose whatever methods best answer a question. It is cited often, but other stances are also used.

Question 4

How should a research question guide the choice of a mixed methods design?

Accepted Answer

The research question should drive the design, not the other way around. Researchers ask whether the question has quantitative parts, qualitative parts, or both, and whether one data type must inform the other. Methods are then selected to answer those specific questions. Mixed methods questions often include both a measurable part and an explanatory part.

Question 5

What are the common purposes or rationales for conducting a mixed methods study?

Accepted Answer

Common purposes include triangulation, complementarity, development, initiation, and expansion. Triangulation seeks convergence of results from different methods. Complementarity uses one strand to elucidate another. Development uses results from one method to inform the next. Initiation reveals contradictions that prompt new questions, and expansion extends the breadth of inquiry.

Question 6

What is the difference between a convergent result and a divergent result?

Accepted Answer

A convergent result means the quantitative and qualitative findings point in the same direction. A divergent result means they point in different directions or seem to contradict each other. Divergence is not automatically a failure. It can signal a measurement problem, a sampling difference, or a richer story that deserves further explanation.

Question 7

Why is it important to state the priority of each strand in a mixed methods study?

Accepted Answer

Stating priority tells readers which strand carries the main weight in answering the research question. Priority can be equal, quantitative dominant, or qualitative dominant. Clear priority guides how results are interpreted and how the two strands are integrated, and it helps reviewers judge whether the design was applied consistently.

Question 8

What do the notations QUAN and QUAL with capital letters indicate in design diagrams?

Accepted Answer

Capital letters signal the strand that receives higher priority, while lowercase letters mark the strand with lower priority. QUAN and QUAL are used for quantitative and qualitative strands, respectively. The plus sign shows concurrent timing, and the arrow shows sequential timing.

Question 9

What is the basic structure of an explanatory sequential design?

Accepted Answer

An explanatory sequential design collects and analyzes quantitative data first, then uses qualitative data to explain or elaborate on the quantitative results. The qualitative phase is often shaped by surprising or unclear numeric findings. It is typically weighted toward the quantitative strand, which is shown as QUAN followed by qual.

Question 10

What is an exploratory sequential design and when is it chosen?

Accepted Answer

An exploratory sequential design begins with qualitative data collection and analysis, then uses those findings to build a quantitative instrument, survey, or intervention. Researchers often choose it when existing measures do not fit a new population or concept. The qualitative phase generates ideas that the quantitative phase then tests or measures across a larger sample.

Question 11

How does a convergent parallel design differ from sequential designs in timing?

Accepted Answer

A convergent parallel design collects quantitative and qualitative data at roughly the same time, analyzes them separately, and then merges the results to compare or combine them. Sequential designs complete one strand before starting the next. The parallel approach saves time but requires careful planning so both strands are well developed.

Question 12

What must researchers do when merging results in a convergent parallel design?

Accepted Answer

Researchers must compare the two sets of results directly, typically by juxtaposing them in a joint display or table. This comparison reveals whether findings converge, diverge, or partly agree. The merge should follow a clear rule for handling disagreement, decided before results are seen when possible.

Question 13

What defines an embedded mixed methods design within a larger study?

Accepted Answer

An embedded design places one data type inside a study primarily guided by the other, such as a qualitative component within an experiment or a survey built into a case study. The embedded strand addresses a specific question that the dominant design cannot answer alone. It may occur before, during, or after the main strand.

Question 14

What is a multiphase mixed methods design and how does it differ from a single-phase design?

Accepted Answer

A multiphase design links several studies or phases over time, with each phase building on earlier findings toward a broader program goal. Unlike a single-phase design, which completes one mixed study, a multiphase design may include several rounds of quantitative and qualitative work. It suits program evaluation and long-term investigations.

Question 15

What is a transformative design and what does it emphasize?

Accepted Answer

A transformative design uses a theoretical lens, such as a framework about social justice, disability, or power, to guide every stage of the study. Its central goal is to advance the interests of communities that are marginalized or underserved. The design often involves stakeholders in shaping questions and interpreting findings.

Question 16

What is the difference between a fixed and an emergent mixed methods design?

Accepted Answer

A fixed design specifies all phases, methods, and procedures before data collection begins. An emergent design allows the plan to change in response to early findings, such as adding a new strand or revising sampling. Emergent designs offer flexibility but require transparent documentation so readers can follow each change.

Question 17

What does integration mean in mixed methods research?

Accepted Answer

Integration is a central feature of what makes a study truly mixed rather than two studies reported together. It means deliberately combining quantitative and qualitative results so that they inform one another and produce insights neither strand could provide alone. It can occur during design, data collection, analysis, interpretation, or reporting.

Question 18

What is a joint display and why do mixed methods researchers use one?

Accepted Answer

A joint display is a table, figure, or matrix that places quantitative and qualitative results side by side so their relationships are visible. Researchers use it to organize comparison, reveal convergence or divergence, and support the reader in following the integration logic. A clear display makes the synthesis transparent rather than implicit.

Question 19

What is data transformation in mixed methods analysis?

Accepted Answer

Data transformation means converting one type of data into the other form so both can be analyzed together. Qualitative material can be quantified by counting codes, and quantitative results can be qualitized through narrative description. Transformation supports comparison, but researchers should state what is lost or gained in each conversion.

Question 20

Why does sampling in mixed methods research need special attention?

Accepted Answer

Sampling needs care because the two strands often serve different purposes and may require different sample sizes and selection logic. Quantitative work usually seeks representativeness, while qualitative work often seeks information-rich cases. Researchers must decide whether the strands draw from the same participants, nested subsamples, or independent samples, and report those choices.

Question 21

What is a nested sample in a mixed methods study?

Accepted Answer

A nested sample is a subset of participants from a larger quantitative sample who are selected for in-depth qualitative work. Because they come from the same population, their qualitative accounts can help explain patterns in the survey or experiment results. Researchers often pick them purposefully, such as high and low scorers.

Question 22

What is purposive sampling and how is it used in the qualitative strand?

Accepted Answer

Purposive sampling means selecting participants or cases because they can provide rich information relevant to the research question. In the qualitative strand, it might target people with particular experiences, roles, or outcomes. Purposive selection differs from random selection, which aims for statistical representativeness and is more typical of the quantitative strand.

Question 23

What is a meta-inference in mixed methods research?

Accepted Answer

A meta-inference is a conclusion that draws on the integrated results of both strands rather than on either strand alone. It answers the overarching question in a way that reflects the combined evidence. Meta-inferences should be explicitly stated and justified, showing which quantitative and qualitative findings support them and how any tensions were resolved.

Question 24

What is a point of integration and where can it occur in a mixed methods study?

Accepted Answer

A point of integration is a stage where the quantitative and qualitative strands are explicitly connected. Integration can occur at the design stage, when research questions are linked, at the data collection stage, when instruments or participants are linked, at analysis, and at interpretation. Naming each point helps readers follow the logic.

Question 25

What does legitimacy mean in mixed methods research?

Accepted Answer

Legitimacy refers to the credibility and trustworthiness of a mixed methods study, including the quality of each strand and their integration. Because mixed methods adds integration, quality criteria must address more than the standards of quantitative and qualitative work separately. It is judged by how well design, data, and inferences fit together.

Question 26

What is the difference between validity in quantitative research and trustworthiness in qualitative research?

Accepted Answer

Validity in quantitative research concerns whether an instrument measures what it claims to measure and whether conclusions follow from the numbers. Trustworthiness in qualitative research is a broader set of standards, including credibility, transferability, dependability, and confirmability, that judge whether findings are believable and well grounded. Mixed methods studies must address both sets of standards.

Question 27

What does inference quality mean in a mixed methods study?

Accepted Answer

Inference quality concerns whether the conclusions drawn from a study are justified by the evidence collected. Researchers evaluate whether each inference is supported by data from at least one strand, whether the integrated conclusions are plausible, and whether alternative explanations were considered. Strong inference quality depends on transparent reasoning that readers can follow and challenge.

Question 28

Why is it important to report limitations of each strand separately?

Accepted Answer

Each strand has its own limitations, such as survey nonresponse or limited qualitative sample size, and these can affect the integrated conclusions differently. Reporting limitations separately helps readers judge how much weight each finding can bear. It also prevents a weakness in one strand from being hidden by strength in the other.

Question 29

How can researchers improve the transparency of their mixed methods reporting?

Accepted Answer

Researchers can improve transparency by stating the design type, priority, timing, and integration points explicitly, and by describing how each decision was made. Reporting should include the rationale for the design, the sampling logic for each strand, and the procedures for merging or comparing results. Published reporting guidelines can also help.

Question 30

What is the role of reflexivity in mixed methods research?

Accepted Answer

Reflexivity means researchers examine how their own background, assumptions, and choices shape the study. In mixed methods work, reflexivity matters for both strands and for the decisions that link them, such as which results to prioritize or how to resolve discrepancies. Keeping a research memo makes those influences visible.

Question 31

What is meant by a token mixed methods component?

Accepted Answer

A token component is a minor strand added to a study to claim mixed methods status, without contributing to the research question. Token designs weaken quality because the added strand is underdeveloped, poorly sampled, or disconnected from the findings. Researchers should justify each strand by showing what it contributes that the other cannot.

Question 32

Why do mixed methods researchers consider the research team's expertise when planning a study?

Accepted Answer

A mixed methods study requires competence in both quantitative and qualitative methods, as well as skill in integration. Teams without this range may produce one strong strand and one weak strand. Planning should therefore identify skill gaps early and arrange training, collaborators, or consultants to fill them.

Question 33

What are the first steps when planning a mixed methods study?

Accepted Answer

Start by clarifying the research question and deciding whether it requires quantitative, qualitative, or both kinds of evidence. Next, select a design that fits the question, set the priority and timing of each strand, and identify the integration points. Finally, plan sampling, instruments, timeline, and resources for each phase before collecting data.

Question 34

How should a researcher write a mixed methods research question?

Accepted Answer

Write at least one question for each strand and, when relevant, a mixed question that asks how the two sets of evidence relate. Quantitative questions usually name variables and relationships, while qualitative questions use open language about experiences or processes. The mixed question specifies the integration goal, such as explaining, comparing, or extending findings.

Question 35

Why do mixed methods studies often require a longer timeline than single method studies?

Accepted Answer

Mixed methods studies usually need more time because each strand has its own procedures, approvals, recruitment, and analysis steps. Phases may depend on one another, so delays in one strand can postpone the next. Integration work, such as building joint displays and resolving discrepancies, also takes sustained effort.

Question 36

What ethical considerations are particular to mixed methods research?

Accepted Answer

Mixed methods studies often collect more personal information across multiple phases, which raises questions about consent, confidentiality, and data linkage. Participants may be asked to take a survey and then join interviews, so consent should describe both phases. Linking quantitative and qualitative data can increase re-identification risk, so storage and access need planning.

Question 37

How can a researcher decide whether a mixed methods approach is worth its extra cost?

Accepted Answer

The decision depends on whether the research question truly needs both kinds of evidence. If a single method can answer the question adequately, the added effort may not be justified. Researchers should weigh the added value of integration against the demands of time, budget, staffing, and participant burden.

Question 38

What structure do mixed methods reports often follow?

Accepted Answer

Many reports follow the standard order of introduction, methods, results, and discussion, but add sections or subsections for each strand and for integration. Results are often presented strand by strand, followed by a joint display and an integrated discussion. The discussion should state meta-inferences and explain how the evidence answers the research question.

Question 39

What is a common mistake when reporting results from the qualitative strand in a mixed methods study?

Accepted Answer

A common mistake is to report qualitative themes as a list of quotations without explaining how they relate to the quantitative findings or the research question. Another is to present numbers and themes in separate sections without linking them. Quotations should illustrate analytic claims, not replace them.

Question 40

Why is it useful to finish a mixed methods study by describing its limitations and next steps?

Accepted Answer

Describing limitations and next steps shows readers where the evidence is strongest and where it remains uncertain. It helps other researchers decide which questions to pursue, which designs to adjust, and which measures to refine. Honest limitations also strengthen credibility, because they demonstrate that the study's conclusions were kept within what the evidence supports.

Mixed Methods Research Flashcards

1Foundations of mixed methods research

2Core mixed methods designs

3Sampling and data integration

4Quality, validity, and transparency

5Applied planning and reporting

Learning Resources