STATISTICAL SOFTWARE
Excel Statistical Analysis Service
Clean Data, Traceable Calculations
Our Excel statistical analysis service cleans, checks and analyzes research data in Excel, working from your workbooks, with a cleaned workbook, a data dictionary and the raw data kept apart from the calculations as agreed, so that every figure can be traced to its source.
No Commitment Required
Strictly Confidential
In-House PhD-Level Statisticians
Fixed Project Fee
Same-Day Response
What Is Excel Used For in Research?
Microsoft Excel is a spreadsheet application in which many research datasets are entered, cleaned and first analyzed. Researchers use it for data entry, descriptive summaries and standard analyses such as t-tests, one-way ANOVA, correlation and linear regression. Its limits concern auditability and scope: calculations sit in cells rather than in a script, and models that need influence diagnostics, clustered errors or mixed effects are better run in dedicated statistical software. OnlineSPSS, a specialist statistical consultancy for academic, clinical and professional research, provides an Excel statistical analysis service in which an in-house PhD-level statistician carries out the agreed analysis, working from your workbooks and keeping the raw data separate from every calculation.
WHEN TO ENGAGE
Four Points at Which Researchers Bring Us an Excel Project
Excel projects reach us as data that need cleaning, an analysis started in a workbook, a calculation that has to be verified or a question that has outgrown the spreadsheet.
Data to Clean Before Analysis Several people entered the data over time, and the research data cleaning Excel workbooks like these need, from dates to stray text, is carried out and documented before any statistic is computed.
Standard Analysis to Carry Out Your question calls for a t-test, ANOVA, correlation or simple regression, and the confidence intervals and effect sizes that Excel's t-test and ANOVA output leaves out are added before the results are reported.
Calculations to Verify An analysis was begun in a workbook, and its formulas, filters and hidden sheets need checking; Excel data analysis consulting of this kind ends with a list of which reported figures hold and which must change.
Question Beyond a Spreadsheet The question needs diagnostics, clustering or repeated measures that a worksheet handles poorly, so the analysis moves into statistical software with the cleaned workbook data as its starting point.
ANALYSES IN EXCEL
Analyses Carried Out in Excel for Your Research Data
Excel statistical analysis stays within what a worksheet supports well, and each card links to the method page where the choice of test is explained.
Independent Samples t-Test
Two independent groups are compared with the unequal-variance version as the default, the group sizes are checked against the sheet layout, and the mean difference is reported with its confidence interval.
Paired Samples t-Test
Before-and-after or matched measurements are kept in paired rows, the distribution of the differences is inspected, and the mean paired difference is reported with its confidence interval.
One-Way ANOVA
Three or more groups are compared from one column per group, and the pairwise follow-ups that a worksheet ANOVA does not supply are added with an adjustment for multiplicity.
Simple Linear Regression
A single predictor is modeled with the fitted line, residual plots and confidence intervals checked, and the point at which a question outgrows a worksheet model is stated plainly.
Correlation Analysis (Pearson & Spearman)
Pearson coefficients come from the correlation functions, and Spearman coefficients are computed on ranks for ordinal data or monotonic relations, each with a confidence interval.
Chi-Square Test
Contingency tables are built from observed counts, expected counts are checked for sparse cells, and the test is reported with an effect size rather than with the p-value alone.
COMMON EXCEL ISSUES
Where Excel Analyses Go Wrong Before the Statistic
Spreadsheet problems seldom produce an error message, since a total or an average is still calculated, so each check below is made before any result is reported.
Dates in Mixed Formats Excel stores a true date as a serial number, so text that only looks like a date, or a day and month swapped by regional settings, sorts and calculates wrongly. Each date column is converted and checked.
Numbers Stored as Text Values with stray spaces, apostrophes or imported formatting are text, so sums and averages leave them out without returning an error. Column types are verified before any statistic is computed.
Decimal Separators and Locale A decimal written with a comma, or with a period in a locale that expects a comma, can be read as text or as a date. The convention in each source file is identified and every column checked.
Hidden Formulas, Rows and Sheets Formulas behind values that look typed, hidden rows, filtered ranges and hidden sheets change totals and counts without being visible. They are listed and resolved before the data are used.
Manual Copy-and-Paste Edits Values pasted over formulas, or transformed by hand, leave no record of how a number was made. Transformations move into structured formulas or Power Query steps that can be reread and reapplied.
Layouts Not Ready for Analysis Merged cells, several header rows, subtotals inside the data and one column per measurement occasion block most analyses. The data are reshaped as the analysis requires, with the raw sheet left untouched.
DELIVERABLES
What You Receive From an Excel Analysis
The files follow a traceable Excel analysis workbook, agreed in the scope and provided where applicable, so that you can follow every reported figure back to the data entered.
Clean Analysis Workbook A workbook with the cleaned data on one sheet and the calculations on separate sheets, every formula visible, so each figure can be traced to its cells.
Raw Data Preserved The original data left unaltered on their own sheet or file, so that every derived value can be checked against what was first received.
Data Dictionary A data dictionary defining each variable, its unit and coding and every missing-value rule, with the date and decimal conventions that were found and resolved.
Query Steps and Scripts Power Query steps for the transformations, or a script where part of the analysis moves to statistical software, provided as agreed so the work can be reapplied.
Tables and Figures Publication-ready tables and charts in Word or Excel as agreed, with effect estimates, confidence intervals and the sample size behind each.
Statistical Interpretation Each result is explained within what the design supports, with the limits of a worksheet analysis stated plainly for your own methods and discussion.
OTHER PLATFORMS
When Another Platform May Be More Appropriate
Excel suits data entry, cleaning and standard analyses, and an analysis moves to another platform when the model or the audit trail asks for more.
ILLUSTRATIVE EXAMPLE
How an Excel Analysis May Look in Practice
An illustration of how three center workbooks are made consistent before a simple comparison is reported.
ILLUSTRATIVE EXAMPLE · SENIOR CENTER PROGRAM RESEARCH · UNITED STATES
A university and county partnership wanted to know whether members' loneliness scores changed after a new activity schedule was introduced at three senior centers, with each center keeping its own Excel workbook.
The comparison, a paired difference in each member’s score before and after the change, was fixed before the data were opened. The workbooks showed three problems: two centers recorded dates with the day first and one with the month first, many scores were stored as text with trailing spaces so the averages had silently skipped them, and a hidden sheet recoded reverse-scored items with formulas nobody had documented. The raw sheets were preserved, each problem was corrected through documented query steps, and the recoding was rewritten as visible formulas and described in a data dictionary before the paired analysis was run.
Outcome: The partnership received the mean paired difference with its confidence interval, a cleaned analysis workbook with the raw data kept separate, and a data dictionary and query steps from which each figure can be traced.
This example does not describe a real client or project. We never share details of actual client work, in line with the confidentiality we promise every researcher. This illustrative example is included to show the type, scope, and standard of work involved in this kind of analysis.
RESEARCH DISCIPLINES
Research Fields Where Excel Is Common
Excel is common wherever data are entered by hand or gathered in the field, as in business, education, health services and sports science, and the same cleaning and traceability questions arise in every field.
HOW WE ASSESS YOUR PROJECT
We Review Your Actual Research
Your assessment is based on a review of your actual research materials and analytical requirements, not a generic project category.
You Submit Your Project Details
Share whatever is available at the current stage, such as the research aim, protocol or proposal, dataset, variable list, manuscript or statistical requirements.
We Review Your Research and Define the Scope
Your statistically trained Research Coordinator reviews the materials to understand the study design, research questions, data structure, analytical requirements and expected deliverables. If clarification is needed, additional documents or information can be requested before the assessment is finalized.
Your Analysis Is Completed and Delivered
Once the scope and fixed project fee are agreed, the in-house statistician completes the work and the Research Coordinator remains the communication point through delivery, with the analysis, deliverables and timeline as agreed.
RESEARCHER VOICE
What Researchers Say
Feedback from a research analyst on mixed date formats, text-formatted numbers and hidden formulas checked in a source workbook.
“We had already done part of the analysis in Excel, but I was not confident about mixed date formats, text-formatted numbers, and hidden formulas in the source workbook. The team checked the underlying setup and delivered the results with the relevant scripts or project files, so we could trace what had been done.”
Statistical Support Within Your Research OnlineSPSS provides the agreed methodological, analytical and statistical reporting support, including the Excel files described in the scope. The researcher or research team retains the scientific question, substantive interpretation, conclusions and overall responsibility for the research.
FREQUENTLY ASKED QUESTIONS
Questions About Excel Analysis for Research
Short answers to what researchers ask before sharing a workbook, from what can be analyzed in Excel and existing workbooks to the Analysis ToolPak, moving to other software and confidentiality.
Can research data be analyzed properly in Excel?
Yes, for many standard analyses, provided the data are laid out one row per case and every calculation can be traced. Within those analyses, the limits are less about the statistics Excel can compute than about what a worksheet cannot record, and the assessment confirms whether your question stays within them.
Can you check an analysis I have already started in my workbook?
Yes. The workbook is opened as it is, and every formula, filter, hidden sheet and column type is traced before a value is changed, so you see which reported figures hold. Where the analysis is complete and only needs checking before submission, Independent Statistical Review gives a written verdict on each figure. Formulas typed by hand, copied from a colleague’s file or suggested by an AI tool are traced the same way.
Do Analysis ToolPak results update when the data change?
Not for the statistical tests. The ToolPak’s t-test, ANOVA, correlation, descriptive statistics and regression tools write their results as fixed values, not formulas, so a table produced before a correction still shows the old numbers. Where the ToolPak is used, it is rerun after every change to the data, or the statistic is computed with worksheet functions that recalculate, and the two are compared for the final table.
When should the analysis move out of Excel?
When the model, not the data, becomes the hard part. Repeated measurements on the same people, clustered sites, or models whose influence diagnostics a worksheet cannot produce are carried out in statistical software, with the cleaned workbook as the input. For standard comparisons on a clean dataset, staying in Excel is usually reasonable.
How do you protect my research data and confidentiality?
Your workbooks and the data in them are handled confidentially, and project information is not published. An NDA is available where required and can be arranged before sensitive materials are shared. Read more about confidentiality and data security.
What happens when I request an assessment, and how long does it take?
You share your research question, design and relevant materials, such as the workbook and any data notes, and a statistically trained Research Coordinator reviews the request and responds the same day. The analysis, deliverables, timeline and one fixed project fee are confirmed before any work begins, so the timeline follows from the agreed scope.
Still have a question? Find more answers in our full FAQ.
NEXT STEP
Discuss Your
Excel Analysis With Us
Share your research question, your workbook and any notes on how the data were collected. We check the data and confirm the Excel setup before any work begins.
No Commitment Required
Strictly Confidential
Fixed Project Fee
In-House PhD-Level Statisticians
Same-Day Response
Serving Researchers Since 2014