DATA CODING / PREPARATION
Prepare the evidence before the model runs. We support survey response coding, variable setup, recoding, missing values, codebooks, and analysis-ready files for SEM, regression, survey analysis, impact evaluation, business reporting, and applied research.
01 / WHEN THE DATA IS NOT READY
Inconsistent variables create invisible rework.
Coding decisions shape what can be analyzed, checked, and explained later. We help make those decisions consistent, documented, and ready for the next method — across survey analysis, SEM, regression, impact evaluation, and business reporting.
Your survey export has unclear labels, inconsistent values, or mixed response formats.
You need reverse-coded items, categorical recoding, missing-value rules, or derived variables.
You want a codebook and a clean handoff before analysis begins.
02 / WHAT WE SUPPORT
We turn a raw file into a documented analytical asset that another person — or your future self — can understand.
Survey coding
We set variable names, labels, value labels, response codes, and rules for items that need consistent treatment.
Data cleaning
We review duplicates, invalid values, missingness, outliers, date formats, and structural inconsistencies before modeling.
Derived variables
We document scales, composites, indices, transformations, and other derived fields so they can be checked and reproduced.
Codebook + handoff
We provide clear documentation and a structured handoff for SPSS, Excel, CSV, R, Python, Stata, and related workflows.
03 / THE WORKFLOW
A useful engagement gives you more than a file. It gives you a clearer sequence from question to evidence to action.
Understand the raw fields, response logic, and research variables.
Apply consistent rules and preserve the decisions made.
Deliver a dataset ready for analysis and review.
04 / HOW WE WORK
You stay close to the thinking, understand the trade-offs, and finish with work you can stand behind.
Review the raw export and codebook.
Agree coding, missingness, and cleaning rules.
Apply, check, and document transformations.
Deliver the clean file and handoff notes.
05 / A GOOD FIT IF YOU ARE
Looking for a practical partner, not a black box.
StatisticsEco combines statistical depth with practical communication across academic, industry, and public-sector questions.
A researcher preparing survey data for a dissertation.
A team moving data from Excel or forms into analysis software.
A project using SEM, regression, impact evaluation, survey analysis, or business reporting next.
A supervisor or analyst reviewing the quality of a dataset.
LET’S MAKE THE NEXT STEP CLEARER
Tell us what you are working on. We will come back with a practical view of what is possible, what is needed, and where to start.
06 / COMMON QUESTIONS
Still deciding if we are the right fit? Ask us directly — or find a quick answer below.
We can discuss SPSS, Excel, CSV, R, Python, Stata, and similar formats. The right handoff depends on your next analysis step.
Yes. We can document reverse-coded items, scale scoring, composites, and the checks needed to confirm the transformation.
We help distinguish structural missingness, invalid values, nonresponse, and user-defined missing codes before analysis decisions are made.
A data dictionary or codebook can be included in scope, along with a cleaning log and handoff notes.
Yes. Data coding and preparation can support SEM, CFA, regression, survey analysis, and other downstream methods.
