STAGE 8 · DATA & ANALYSIS

Analyse real research data, verify the results and develop evidence-grounded findings

ProjectReady calculates statistics from your uploaded dataset. AI must not invent coefficients, p-values, confidence intervals, sample sizes, diagnostics or findings.

Calculation firstRaw data → deterministic computation → diagnostics → consistency checks → interpretation → Chapter Four.

Project

Open your Research Journey project

Back to Research Journey

Project ID

1. Data Setup

Upload raw CSV or Excel data

Accepted: CSV, TSV, XLSX and XLSM. ProjectReady profiles variable types, missing values, duplicates and data structure before analysis.

Available datasets

Optional conceptual framework

Use the framework to assist model mapping

Paste the approved framework/path logic if available. Leave blank if the study has no conceptual framework.

Framework summary Paths, one per line

2. Data Quality & Descriptives

Inspect the dataset before modelling

3–5. Analysis Selection, Diagnostics & Estimation

Select the model that matches the approved objective and data structure

Time-series: ARIMA / SARIMAX / VAR, plus AR, MA, ARMA, DOLS, ARDL/NARDL, cointegration, VECM, SVAR, TVP-VAR, decomposition and volatility models.

Panel-data regression · Structural equation modelling (SEM) · professional SEM path analysis diagram.

Objective Hypothesis

Analysis type

Choose an analysis to see its variants, assumptions and required diagnostics.

Dependent / outcome variable Predictors / covariates

Use HC3 robust standard errors where supported I confirm that this analysis matches the approved research objective, design and variable roles. ProjectReady may recommend methods, but the researcher remains responsible for the analytical decision.

6. Results Validation & Chapter Four

Verified calculation output

Run an analysis to populate verified results, diagnostics and consistency checks.

Qualitative analysis

Traceable coding support

Upload a transcript and provide a researcher-defined codebook. ProjectReady finds candidate excerpts while keeping every suggestion linked to the actual transcript. It does not invent quotations or themes.

Codebook, one code per line

Mixed methods

Integration matrix

Organise confirmed quantitative findings and researcher-confirmed qualitative themes as convergence, complementarity, divergence or expansion. ProjectReady does not invent either strand.

Quantitative findings Qualitative themes