DATA ANALYTICS
Turning Data Into Meaningful Evidence
Statistical and qualitative data analysis designed to help researchers and organizations understand their data, communicate findings, and make evidence-informed decisions.
ANALYTICAL EXPERTISE
From Raw Data to Clear, Defensible Findings
Data analysis is more than producing tables and statistical output. The right analytical approach must be aligned with the research questions, study design, measurement framework, and nature of the data.
At Nexus Research Consulting, we support quantitative and qualitative data analysis across different stages of the research process. We help clients select appropriate analytical techniques, conduct analyses, interpret results, and present findings clearly.
Our goal is to transform complex datasets into meaningful evidence that can be understood and used with confidence.
Analysis With Purpose
Every analysis should answer a question. We begin by understanding your research objectives and then identify analytical approaches that are appropriate for your data and study design.
Where appropriate, we also assess assumptions, limitations, and the robustness of analytical results rather than relying solely on statistical output.
QUANTITATIVE ANALYSIS
Statistical Analysis
Analytical techniques selected according to your research questions, variables, study design, and data characteristics.
Descriptive Statistics
Frequencies, percentages, measures of central tendency, measures of dispersion, cross-tabulations, and descriptive summaries.
Hypothesis Testing
Appropriate statistical tests for examining differences, associations, relationships, and research hypotheses.
Correlation & Association
Analysis of relationships and associations between variables using appropriate correlation and association measures.
Regression Analysis
Regression approaches for examining relationships, estimating effects, and exploring predictors of outcomes.
Multivariate Analysis
Advanced techniques for examining multiple variables and outcomes within a unified analytical framework where appropriate.
Scale & Measurement Analysis
Reliability assessment, measurement evaluation, scale development support, and interpretation of relevant measurement properties.
QUALITATIVE ANALYSIS
Making Sense of Qualitative Evidence
Systematic approaches for organizing, analyzing, and interpreting non-numerical research data.
Data Organization
Structuring qualitative data from interviews, focus groups, observations, documents, and other sources for systematic analysis.
Thematic Analysis
Identification, organization, and interpretation of meaningful themes and patterns within qualitative data.
Interpretation & Reporting
Clear interpretation and presentation of qualitative findings while maintaining a strong connection to research questions and evidence.
TOOLS & SOFTWARE
Working With the Tools Your Research Requires
We work with widely used statistical and analytical platforms depending on the requirements of the project.
SPSS
Statistical analysis, data management, hypothesis testing, regression, reliability analysis, and multivariate procedures.
R
Statistical computing, advanced analysis, data visualization, reproducible workflows, and specialized analytical procedures.
Stata
Statistical analysis, econometric procedures, regression, panel data, and research data management.
Python
Data preparation, statistical analysis, visualization, automation, and advanced analytical workflows.
Excel
Data cleaning, organization, descriptive analysis, visualization, and practical reporting workflows.
Qualitative Analysis Tools
Structured approaches to qualitative coding, categorization, thematic analysis, and interpretation of qualitative evidence managed using NVivo and MAXQDA.
OUR ANALYTICAL WORKFLOW
A Structured Approach to Data Analysis
Understand
Review the research questions, objectives, study design, variables, and available data.
Prepare
Review, organize, clean, and prepare the data for appropriate analysis.
Analyze
Apply appropriate statistical or qualitative analytical techniques based on the research requirements.
Interpret
Translate analytical output into clear findings that address the research questions and objectives.
BEYOND THE OUTPUT
Clear Analysis. Clear Communication.
Statistical output is only useful when it can be understood and communicated appropriately.
Results Tables
Professionally organized tables and statistical summaries appropriate for research reports and manuscripts.
Data Visualization
Clear charts and visual summaries that make important patterns and findings easier to understand.
Results Interpretation
Plain-language interpretation of statistical and analytical findings in relation to the research questions and objectives.
HAVE DATA TO ANALYZE?
Let's Turn Your Data Into Evidence
Tell us about your dataset, research objectives, and the questions you need answered. We will review the requirements and recommend an appropriate analytical approach.
Discuss Your Data