Data & Analytics

Statistical Analysis

A complete analysis chapter, ready to paste and defend — and a scholar who understands every table in it.

Overview

What this service covers

The data is collected, the Excel sheet is full, and now the question that has been quietly postponed for months arrives: what do I actually do with this? Many scholars reach this point with a good study and no clear idea of which test answers which objective — or how to tell whether the numbers mean anything at all.

Share your files

You share your questionnaire, your objectives and hypotheses, and your data file — Excel, Google Forms export or SPSS; we take it from there.

A test plan first

We first map every objective to the test that answers it, and share that plan with you before any analysis begins.

Clean and screen

We clean and screen the data — missing values, outliers, coding errors, reverse-scored items, normality — and tell you exactly what was changed and why.

Run the analysis

We run the analysis your design calls for: descriptives, reliability, t-tests, ANOVA, correlation, regression, chi-square or their non-parametric alternatives.

Assumptions checked

Every test comes with its assumption checks, so nothing is reported that cannot be defended.

Formatted tables

You receive formatted tables in your university's or journal's style, plus a plain-language note under each one explaining what it shows.

Walk-through call

We then walk you through the output on a call, so you can explain every table yourself.

How We Work

A clear, guided process

  1. 01

    Receive

    You share your questionnaire, your objectives and hypotheses, and your data file — Excel, Google Forms export or SPSS; we take it from there.

  2. 02

    Plan the tests

    We first map every objective to the test that answers it, and share that plan with you before any analysis begins.

  3. 03

    Clean

    We clean and screen the data — missing values, outliers, coding errors, reverse-scored items, normality — and tell you exactly what was changed and why.

  4. 04

    Analyse

    We run the analysis your design calls for: descriptives, reliability, t-tests, ANOVA, correlation, regression, chi-square or their non-parametric alternatives, each with its assumption checks.

  5. 05

    Format

    You receive formatted tables in your university's or journal's style, plus a plain-language note under each one explaining what it shows.

  6. 06

    Walk through

    We walk you through the output on a call, so you can explain every table yourself.