STATISTICAL METHOD
Mixed Methods Research Analysis
Consulting for Integrated Study Designs
We apply mixed methods research analysis to designs in which qualitative and quantitative strands are meant to be integrated, fixing the design type, the sampling for each strand and the points of integration, and reporting through joint displays.
No Commitment Required
Strictly Confidential
In-House PhD-Level Statisticians
Fixed Project Fee
Same-Day Response
METHOD OVERVIEW
What Is Mixed Methods Research?
Mixed methods research analysis combines qualitative and quantitative data in one study, with the two strands deliberately integrated to answer a question that neither could answer alone. The core designs are convergent, where both strands are collected and compared, explanatory sequential, where qualitative work explains quantitative results, and exploratory sequential, where qualitative findings shape a later quantitative strand. Mixed methods integration can occur at the design, methods and interpretation levels, and joint displays make it visible. It is more than two studies placed side by side. OnlineSPSS, a specialist statistical consultancy for academic, clinical and professional research, supports mixed methods studies with the design, the strand-level analysis and the integration, while the conclusions stay yours.
WHEN TO ENGAGE
When Is Mixed Methods Appropriate?
A mixed design fits questions that need both measurement and meaning, and these are the situations in which researchers most often ask us to plan or confirm one.
Quantitative Results Need Explaining A survey or model shows an unexpected pattern, and interviews are planned to explain it, which calls for an explanatory sequential design and a plan for linking the strands.
Exploratory Work Before Measurement Interviews or focus groups come first to shape a survey, scale or hypothesis, so the qualitative findings must be carried into the instrument and then tested.
Two Strands Collected Together Interviews and survey data are gathered in parallel, and the team needs a convergent design with a stated way to compare them and to treat results that diverge.
Reviewing a Completed Analysis A mixed methods report gives two sets of results, and a reviewer asked where they were integrated. Independent Statistical Review examines how the strands were joined.
ANALYTICAL APPROACH
How We Apply Mixed Methods
Within the family of Qualitative & Mixed Methods, a mixed design is chosen only once the question shows why both kinds of data are needed.
Design Type and Priority We confirm from the research question whether the design is convergent, explanatory sequential or exploratory sequential, and set the priority and timing of each strand before data collection begins.
Sampling for Each Strand Qualitative sampling is purposive and judged by information power, quantitative sampling by the precision its estimates need, and the link between them, such as nested cases, is stated.
Planned Integration Points Integration is planned at the design, methods and interpretation levels, not left to the discussion, for example by sampling interviewees from survey score groups and building the guide around them.
Joint Displays and Divergence Joint displays set the strands side by side, case by case or theme by theme, to show convergence, divergence and gaps, and results that diverge are examined as findings, not treated as errors.
DELIVERABLES
What You Receive
As part of our Qualitative & Mixed Methods Analysis service, both strands and their integration are delivered in one reportable package.
Data & Variable Review Both datasets are reviewed: measures for missing data and coding, qualitative material for completeness, and the case identifiers that allow the strands to be linked.
Method-Specific Checks Each strand is checked against its own tradition: the audit trail for the qualitative strand, and assumptions and diagnostics for the quantitative strand.
Statistical Results Quantitative estimates with confidence intervals, the qualitative themes or categories with extracts, and the integrated findings that join them, written as meta-inferences.
Publication-Ready Tables & Figures A joint display, a design diagram and a table of each strand's findings, formatted to GRAMMS, the journal's requirements and the standards of each strand.
Interpretation Findings are read strand by strand and then together, stating where they agree, diverge or leave gaps, and what the design can and cannot support.
Reproducible Analysis Files Analysis files for each strand, such as SPSS syntax or R scripts and the coded qualitative project, with the joint display data, so each integrated claim traces to its source.
ALTERNATIVE METHODS
When Another Method May Be More Appropriate
We choose the design by the question, not by the wish to use both kinds of data. A mixed design needs a reason, and these alternatives fit when one strand is enough.
01
Thematic Analysis
When the question concerns patterns of meaning only and no quantitative strand is needed, thematic analysis is simpler and keeps the claims within one paradigm.
02
Content Analysis
When coded text is counted and the counts are the only quantitative element, content analysis fits better than a full mixed methods design with two sampling plans.
03
Framework Analysis
When qualitative data are charted by case and theme, with a few case attributes alongside, framework analysis can answer the question without a second, separate strand.
04
Regression & Predictive Modeling
When the question concerns associations among measured variables and nothing needs explaining through meaning, a regression model alone gives estimates with intervals.
CASE EXAMPLE
How We Work in Practice
An illustration of how a mixed design moves from a protocol to integrated findings that can be defended.
ILLUSTRATIVE EXAMPLE · SOFTWARE PRODUCT RESEARCH · UNITED STATES
A software company's research team saw satisfaction scores fall for one product module and wanted to know why, and whether the reasons matched what users reported in a survey.
The protocol, written before data collection, specified an explanatory sequential design: a survey analyzed with a regression of satisfaction on module use, then interviews with users sampled across score bands. The survey results shaped the interview guide, and a joint display was planned to bring the strands together. One complication emerged: several high-scoring users described the same frustrations as low-scoring ones, so the survey pattern did not map neatly onto the accounts. We kept those cases in the joint display as divergence and did not reconcile them, and each strand was reported against its own quality standards.
Outcome: The team received the survey estimates with confidence intervals, the interview themes with extracts, a joint display linking them and a methods paragraph naming the design.
This example does not describe a real client or project. We never share details of actual client work, in line with the confidentiality we promise every researcher. This illustrative example is included to show the type, scope, and standard of work involved in this kind of analysis.
SOFTWARE
Software for Both Strands
Qualitative software holds the coded strand, MAXQDA adds built-in mixed methods tools such as joint displays, and IBM SPSS runs the survey strand.
RESEARCH DISCIPLINES
Mixed Methods Across Research Fields
Mixed methods research is used wherever a question needs both measurement and meaning, each field with its own designs, ethics and reporting norms.
A Defined Process for Your Analysis
We review your data, research question and planned design before any work begins, so the scope, deliverables, timeline and fixed project fee are clear from the outset.
01
Share Your Research Materials
Send your dataset, research question, study design and any existing analysis plan or output. We will let you know if anything else is needed to assess the project.
02
Receive Your Assessment
Your statistically trained Research Coordinator reviews the project and confirms the required analysis, deliverables, timeline and fixed project price before work begins.
03
Analysis & Delivery
Once you confirm the scope, an in-house statistician completes the agreed analysis and delivers the outputs, interpretation and reporting files.
RESEARCHER VOICE
What Researchers Say
Feedback from a researcher who needed to integrate two strands instead of reporting them as two separate studies.
“We knew Mixed Methods Research was probably the right direction, but how to integrate the qualitative and quantitative strands rather than reporting them as two separate studies was where we were stuck. OnlineSPSS reviewed the data and model rather than just rerunning the software output. The joint display made the connection between the two strands much clearer.”
RESEARCH RESPONSIBILITY
Statistical Support Without Taking Over Your Research
We provide the methodological support for your mixed methods study, while the design choices, the conclusions and the authorship stay entirely with you.
Agreed Statistical Support We provide the agreed methodological, analytical and reporting support for your mixed methods study, within the scope confirmed before work begins.
No Intellectual Contribution OnlineSPSS claims no intellectual contribution to your research. Our work is methodological support, and authorship remains yours.
Your Research Decisions The research question, the inferences drawn from both strands and the conclusions remain with you, and our statistical interpretation stays within what the data and the design support.
Confidential Handling Survey data, interview material and project details are handled confidentially and are not published. An NDA is available where required and can be arranged before sensitive materials are shared.
FREQUENTLY ASKED QUESTIONS
Questions About Mixed Methods Research
Short answers to what researchers ask before a mixed methods study, from design and integration to confidentiality and the assessment process.
Mixed methods or a single method for my question?
Use mixed methods only when one kind of data cannot answer the question alone. If the aim is patterns of meaning, a qualitative method may be enough, and if it is an association among measured variables, a quantitative model may be enough. A mixed design is justified when each strand supplies what the other lacks, for example measuring a pattern and then explaining it, and the design type follows from that order.
Is a mixed methods study two studies side by side?
No, collecting both kinds of data is not enough. The strands must be intentionally integrated, through the design, the sampling, the analysis or the interpretation, and a joint display is one way to show where they meet. Without a stated integration, reviewers read two separate studies placed next to each other, and divergent results are left unexplained.
How are sample sizes set for each strand of a study?
Each strand follows its own logic. The qualitative strand is judged by information power and the analytic aim, not a power calculation, while the quantitative strand needs enough precision for its own estimates, whether scale scores through Likert Scale Analysis or a regression model. In sequential designs the second sample is shaped by the first.
Can you review an analysis that has already been completed?
Yes, we can review a completed mixed methods study before submission or in response to reviewers. We read the design type, the sampling of each strand, where integration took place and whether the joint display and the inferences follow from both strands, then set out what stands and what needs further work.
How do you protect my dataset and research confidentiality?
Survey datasets, interview recordings, transcripts and coded project files are handled confidentially, and project information is not published. An NDA is available where required and can be arranged before sensitive materials are shared. Read more about confidentiality and data security.
What happens when I request an assessment, and how long does it take?
You share your research question, design and relevant materials, and a statistically trained Research Coordinator reviews the request and responds the same day. The analysis, deliverables, timeline and one fixed project fee are then confirmed before any work begins, so the timeline follows from the agreed scope.
Still have a question? Find more answers in our full FAQ.
NEXT STEP
Need Support With a
Mixed Methods Study?
Share your research question, the data you hold or plan to collect and the design you have in mind. We assess whether it fits and confirm the scope before any work begins.
No Commitment Required
Strictly Confidential
Fixed Project Fee
In-House PhD-Level Statisticians
Same-Day Response
Serving Researchers Since 2014