Research Services Overview
📍 Full-Cycle Research Support
I offer comprehensive research consulting across the entire research lifecycle, from conceptualizing research questions to delivering final reports and presentations. I work with academic researchers, NGOs, educational institutions, and project teams. Services are available in English and Russian, online or in person.
You can request support at any stage or throughout the entire process.
📈 Core Areas of Support
📍 Research Design and Problem Framing
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Translating real-world or conceptual problems into researchable questions
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Designing the research pathway: approach, method, indicators
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Selecting study designs: experimental, quasi-experimental, observational, cross-sectional, longitudinal
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Sampling design: representative and targeted samples, power calculations
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Instrument development: questionnaires, cognitive tasks, behavioral protocols
📊 Data Strategy and Supervision
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Planning and supervising data collection (including interviewer training and protocol compliance)
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Advising on recruitment and logistics
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Monitoring data quality and consistency
🔍 Data Preparation and Statistical Analysis
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Cleaning data, managing missing values, coding and merging datasets
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Handling hierarchical or longitudinal structures
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Statistical modeling: generalized linear models, multilevel regression, SEM, CFA, EFA
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Reporting and visualization: reports, dashboards, publication-ready figures
📚 Evidence Synthesis and Meta-analysis
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Systematic reviews, meta-analyses, and evidence briefs
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Search strategy, inclusion criteria, and quality evaluation
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Structured literature reviews for grant proposals, publications, or internal use
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Rapid evidence synthesis tailored to client needs
Training and Capacity Building
I offer individual and group training sessions, both online and on-site, including:
• Software Training: R, Stata, Mplus
• Methods-Focused Workshops:
o Generalized linear models
o Multilevel regression
o Structural equation modeling
o Factor analysis (EFA, CFA)
o Psychometrics and test construction
o Analysis of longitudinal data
Each training can be adapted to the experience level of participants—from beginners to advanced researchers.