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Mixed Methods Data Analysis Made Simple

Seamlessly combine qualitative and quantitative research approaches with AI-powered tools that understand the complexity of mixed methods research.


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Mixed methods research combines the depth of qualitative insights with the breadth of quantitative data, but analyzing these complex datasets often feels like juggling fire while riding a unicycle. You're switching between statistical software for your surveys, coding platforms for your interviews, and spreadsheets for integration—all while trying to maintain the methodological rigor that makes mixed methods so powerful.

Sourcetable transforms this chaotic process into a streamlined workflow where qualitative codes and quantitative variables coexist harmoniously. With AI assistance that understands research methodology, you can focus on uncovering insights rather than wrestling with data format incompatibilities.

Why Choose Sourcetable for Mixed Methods Analysis?

Unified Data Environment

Keep qualitative codes, quantitative variables, and merged datasets in one intelligent workspace that understands research methodology.

AI-Powered Pattern Recognition

Discover convergent and divergent patterns across data types with AI that recognizes both statistical significance and thematic relationships.

Seamless Data Integration

Merge survey responses with interview themes, connect demographic variables with narrative insights, all without complex data transformation.

Research-Ready Visualizations

Generate publication-quality charts that effectively communicate mixed methods findings to academic and professional audiences.

Real-World Mixed Methods Applications

See how researchers across disciplines use Sourcetable to conduct rigorous mixed methods analysis

Educational Program Evaluation

A university research team evaluated a new teaching methodology by combining student performance data (quantitative) with focus group transcripts (qualitative). They used Sourcetable to identify which statistical improvements correlated with specific themes from student interviews, revealing that improved test scores aligned with students reporting increased confidence and engagement.

Healthcare Experience Research

Medical researchers studied patient satisfaction by merging survey ratings with interview narratives. The analysis revealed that while satisfaction scores were generally high, qualitative themes exposed specific pain points in the discharge process that weren't captured in quantitative measures alone.

Market Research Integration

A consumer research firm combined purchase behavior analytics with customer journey interviews. They discovered that while purchase frequency data showed seasonal patterns, qualitative insights revealed emotional triggers that occurred months before actual purchases, transforming their marketing strategy.

Social Policy Impact Study

Policy researchers evaluated a community intervention by analyzing demographic outcome data alongside resident interviews. The mixed methods approach revealed that while overall metrics improved, the intervention had differential impacts across age groups that only became clear when quantitative trends were explored through qualitative explanations.

Your Mixed Methods Analysis Workflow

From data collection to final insights, Sourcetable supports every stage of your mixed methods research

Import and Organize Data

Upload survey data, interview transcripts, observational notes, and any other data sources. Sourcetable automatically recognizes different data types and suggests optimal organization structures for mixed methods analysis.

Code and Categorize

Apply qualitative codes to text data while maintaining quantitative variable relationships. The AI assistant helps identify emerging themes and suggests connections between qualitative patterns and quantitative trends.

Integrate and Analyze

Merge qualitative and quantitative datasets using participant IDs, time periods, or other linking variables. Run statistical analyses alongside thematic analysis to identify convergent and divergent findings.

Visualize and Report

Create mixed methods visualizations that effectively communicate both numerical trends and qualitative insights. Generate reports that meet academic standards for methodological rigor and transparency.

Supporting All Mixed Methods Approaches

Whether you're conducting convergent, explanatory, or exploratory research, Sourcetable adapts to your methodological framework

Convergent Parallel Design

Analyze qualitative and quantitative data simultaneously, then merge results to compare and contrast findings across data types.

Explanatory Sequential Design

Start with quantitative analysis, then use qualitative data to explain unexpected results or explore significant findings in greater depth.

Exploratory Sequential Design

Begin with qualitative exploration to identify themes and patterns, then use quantitative data to test and validate these emerging concepts.

Embedded Design

Integrate qualitative components within primarily quantitative studies, or vice versa, maintaining methodological coherence throughout your analysis.

Advanced Integration Capabilities

Cross-Data Pattern Recognition

AI identifies patterns that span qualitative and quantitative datasets, highlighting relationships you might miss in separate analyses.

Methodological Validation

Built-in checks ensure your mixed methods approach maintains rigor, with suggestions for strengthening convergent validity.

Participant Journey Mapping

Track individual participants across multiple data collection points, maintaining person-level insights throughout your analysis.

Triangulation Support

Systematically compare findings across different data sources to strengthen the credibility and trustworthiness of your results.

Automated Literature Integration

Connect your findings with existing research, identifying where your mixed methods results confirm, extend, or challenge current knowledge.

Collaborative Research Tools

Multiple researchers can work simultaneously on different aspects of the analysis while maintaining data integrity and methodological consistency.

Ready to Transform Your Mixed Methods Research?


Frequently Asked Questions

How does Sourcetable handle different qualitative data formats?

Sourcetable accepts interview transcripts, focus group notes, observational data, and open-ended survey responses in various formats including Word documents, PDFs, and plain text. The AI automatically suggests coding structures and helps identify themes across different data sources.

Can I import data from other research software?

Yes, Sourcetable integrates with popular research tools including SPSS, R, NVivo, and Atlas.ti. You can import quantitative datasets, qualitative coding schemes, and analysis results while maintaining data integrity and methodological documentation.

How does the AI assist with mixed methods analysis?

The AI recognizes patterns across data types, suggests potential connections between qualitative themes and quantitative variables, helps identify convergent and divergent findings, and provides guidance on methodological best practices for mixed methods research.

What visualization options are available for mixed methods findings?

Sourcetable offers specialized mixed methods visualizations including joint displays, integration matrices, side-by-side comparisons, and participant journey maps. All visualizations are publication-ready and can be customized to meet academic or professional standards.

How do I ensure methodological rigor in my mixed methods analysis?

Sourcetable includes built-in methodological checks, convergent validity assessments, and triangulation support. The platform helps maintain an audit trail of your analytical decisions and provides templates for documenting your mixed methods approach.

Can multiple researchers collaborate on the same mixed methods project?

Absolutely. Sourcetable supports collaborative research with role-based access controls, version tracking, and real-time collaboration features. Team members can work on different aspects of the analysis while maintaining data security and methodological consistency.



Frequently Asked Questions

If you question is not covered here, you can contact our team.

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How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.




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Ready to Revolutionize Your Mixed Methods Research?

Join researchers worldwide who have transformed their analysis workflow with Sourcetable's intelligent mixed methods capabilities.

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