Survey Data Analysis and Reporting Service: From Raw Responses to Clear Findings
Turn raw survey responses into findings you can present. We clean the data, run the right tests for your question, and write results in the form your report, thesis or client needs.
What this service covers
- Data checking, cleaning and coding of survey responses
- Frequencies, percentages and summary tables for every question
- Cross-tabulations and group comparisons with appropriate tests
- Correlation and regression for relationships between variables
- Handling of missing data, weighting and skip logic
- Open-ended answers coded and summarised alongside the numbers
- Charts, tables and written interpretation ready for a report
What survey analysis involves
Survey analysis is more than counting answers. We begin by checking the data for duplicates, impossible values, straight-lining and missing responses, then recode variables and build any scales. Only then do we run descriptive summaries and tests. Doing the checks first prevents errors in the tables that readers rely on.
Choosing the right test
The test depends on the type of variable and the question. Comparing two group means may need a t-test or a non-parametric alternative; associations between categories use chi-square; relationships between several variables use correlation or regression. We explain why we chose each method and check assumptions, drawing on our hypothesis testing and descriptive and inferential statistics services where needed.
Reporting results
We write results in plain language with properly formatted tables: sample description, main findings by objective, and subgroup differences. Charts show the findings without exaggerating small differences. For rating scales, see Likert-scale analysis; for health and behaviour surveys, see KAP survey analysis.
Surveys with open-ended answers
Free-text answers often hold the most useful detail. We code them using thematic analysis or text methods and report them next to the closed-ended results, so you do not have to choose between numbers and explanation. You can also explore the text yourself with our free word frequency counter.
How the work runs
- You send the dataset, questionnaire and your objectives.
- We clean and check the data and agree the analysis plan.
- We run the analysis and prepare tables and charts.
- You receive the results, interpretation and a report-ready write-up.
What you receive
- A cleaned dataset with a data dictionary
- Summary tables for every question
- Test results for your hypotheses, with assumptions checked
- Charts and a written interpretation
- Syntax or scripts so the analysis can be repeated
Frequently asked questions
What file formats can you work with?
Excel, CSV, SPSS, Stata and exports from common survey platforms are all fine.
Do you handle weighting?
Yes, where design or population weights are available or can be justified. We explain how weighting affects results.
How do you treat missing responses?
We report how much is missing and choose between available-case analysis and appropriate imputation depending on the amount and pattern.
Can you analyse a survey I collected years ago?
Yes. We check data quality first and tell you what the data can support.
Will you tell me if results are not significant?
Always. We report what the data show, including null results, and explain what they mean.
Do you provide the code or syntax?
Yes. We can supply SPSS, Stata, R or Python scripts so the analysis can be reproduced.
Related survey & mixed-methods analysis services
Likert Scale Analysis
Item and scale scores, reliability and appropriate tests for rating-scale data.
Questionnaire Design & Sampling
Clear questions, valid scales and sound sampling before you collect data.
KAP Survey Analysis
Knowledge, attitude and practice scoring, associations and reporting.
Survey & Mixed-Methods Analysis Services
See every survey and mixed-methods service we offer.