Start with the essentials
Understanding data analysis support
Data analysis is the process of using an appropriate method to answer the research question while accounting for the design, data quality and limits of interpretation.
Analysis begins with the research question and the structure of the data, not a preferred software package. The right method depends on variable types, sampling, design, missingness and what the study can legitimately infer.
Recognising the challenge
When the chosen test does not fit the data
Choosing familiar software before establishing variable types, assumptions and analytical goals can produce results that do not answer the study question.
A statistically significant result is not automatically clinically important. Likewise, a sophisticated test cannot repair an unsuitable study design or poor quality data.
A practical approach
Inspect the data through Interpret findings
Analysis begins with the research question and the structure of the data, not a preferred software package. The right method depends on variable types, sampling, design, missingness and what the study can legitimately infer.
Choose an appropriate approach
We help you think through the relationship between your data, research questions and analytical method so your choices are academically defensible.
Interpret the findings
Results become useful when you can explain what they show and what they do not show. We help you work through the meaning of the output in clear academic language.
Connect findings to the study
We help you relate the analysis back to your objectives, literature and broader argument so the discussion remains focused on the research problem.
A nursing research example
Choosing an analysis for a practice evaluation
For a quality improvement evaluation, the choice between descriptive summaries, a comparison test or a time series approach depends on the data and evaluation design.
This example is illustrative rather than a finding from a completed study. The appropriate decisions depend on the research question, available evidence and institutional requirements.
Working with us
Support for this research decision
Our statistical mentorship can explain candidate analyses, assumption checks, output interpretation and transparent reporting. We support your understanding rather than inventing results or making unsupported claims.
Tell us which part of the process feels difficult. We can discuss your questions, look at the guidance you have received and help you choose a sensible next step.
Before you contact us
What to prepare
Bring your research questions, variable list, study design and a description of the data available, without sharing identifiable patient information.