Survey Analysis Service
If you need your survey data analyzed, the process is simple: you send your questionnaire data from Google Forms, SurveyMonkey or Excel together with the survey form; we check the data entry, reverse-code items where needed, compute scale and subscale scores, run the tests that fit your research questions, and deliver APA-formatted tables, figures and academic interpretation. The analysis itself usually takes 15 minutes; your report is delivered the same day, often within hours or even minutes.
You don't need to know statistics, own an SPSS license, or prepare the data yourself. Messy datasets, missing responses, paper-survey entries — we don't point at problems and say 'go fix this'; we fix what we can ourselves and get the data ready together with you.
Who is this service for?
Master's and PhD students who collected survey data and are stuck at the analysis stage
Undergraduates running a survey study for a capstone or research project
Researchers who need reliability and validity analysis for a Likert-scale questionnaire
Organizations reporting customer, employee or student satisfaction surveys
Anyone whose survey is done but is now asking 'what do I do with this data?'
The survey analysis process
- 01
Send your data and survey form
Google Forms/SurveyMonkey export, Excel or CSV — share your data in whatever format you have, along with your questionnaire and research questions.
- 02
Initial review and data preparation
Missing and inconsistent responses are screened, reverse-worded items are recoded, scale and subscale scores are computed, and outliers are examined. Even messy datasets get analysis-ready.
- 03
Analysis and tables
Demographic breakdowns, reliability analysis, normality checks, then the comparison and association tests that fit your research questions — all turned into APA-formatted tables.
- 04
Delivery and ongoing support
You receive an interpreted report, all tables and figures, and your cleaned dataset. Revisions are free, and you can write to us at every step before your defense or presentation.
The analyses we run most often on survey data
| Analysis | What it does for your survey |
|---|---|
| Frequencies and descriptive statistics | Participant profile and response distributions per item |
| Reliability analysis (Cronbach's alpha) | To report your Likert scale's internal consistency |
| Exploratory factor analysis (EFA) | To examine your scale's construct validity and subscales |
| Independent-samples t-test | To compare scale scores between two groups (e.g. by gender) |
| One-way ANOVA + post-hoc | To compare three or more groups (e.g. age groups) |
| Chi-square test | For associations between categorical survey questions |
| Correlation and regression | For relationships between scales and finding predictors |
| Mann-Whitney U / Kruskal-Wallis | Group comparisons when normality fails |
How is Likert-scale data analyzed?
Likert-type surveys are analyzed at two levels. At the item level, each statement's frequencies, mean and standard deviation are reported — this produces the descriptive tables showing agree/disagree distributions. At the scale level, items are summed or averaged into scale and subscale scores, and the actual hypothesis tests (t-tests, ANOVA, correlation, regression) run on those scores. Recoding reverse-worded items before scoring and reporting the scale's reliability (Cronbach's alpha) are standard steps in this process — we handle all of them for your survey and show clearly in the report which items were reverse-coded and why.
What data formats do we accept?
No need to import or reformat anything — send the data as you have it:
Google Forms, SurveyMonkey and Microsoft Forms exports (Excel/CSV)
Data entered by hand in Excel — including transfers from paper surveys
SPSS .sav files
CSV, JSON and other common data formats
Frequently asked questions
How much does survey analysis cost?
Pricing depends on scope: the number of scales and variables, research questions, and method complexity. Send your data and we'll reply within 24 hours with a free assessment and a written fixed quote. The price is independent of delivery speed and revisions — revisions are free, and urgency never costs extra.
How many participants are enough — is my sample too small?
It depends on the analyses: simple group comparisons can work with relatively small samples, while factor analysis needs more participants. When you send your data, the initial review tells you which analyses your sample supports, and we suggest alternatives where needed. If you haven't collected data yet, our sample size calculation service helps you set the right number from the start.
My data is in Google Forms — can I send it directly?
Yes. Send the Excel or CSV export from Google Forms as is; we handle the column layout, variable definitions and coding.
Can t-tests and ANOVA be used on Likert data?
On scale and subscale scores, yes — that is the common academic practice. We test the normality assumption and, where it fails, use nonparametric counterparts like Mann-Whitney U or Kruskal-Wallis; the report states which test was chosen and why.
Is my survey data and participant information safe?
Yes. Your data is used only for your analysis, never shared with third parties, and permanently deleted on request. If columns identifying participants aren't needed for the analysis, we may suggest not sending them at all.
How fast is delivery?
The analysis itself usually takes 15 minutes; your report is delivered the same day, often within hours or even minutes. Total time is mostly set by the iterative nature of the process — gaps, corrections and additions are completed together with you, and you can write to us at every step.
Start your survey analysis
Send your survey data and research questions — we'll reply within 24 hours with a free assessment.
Last updated: July 9, 2026