Statistics help and data analysis support
Experienced statisticians and methodologists who help you choose the right analysis, run it correctly and understand every line of output, whether you use SPSS, Stata, R or qualitative software.
Most statistics problems are not really about software. They are about choosing a test that matches your research question and data, checking its assumptions, and explaining the results in plain language. Our statistics help works on all three, and every analysis comes with clear documentation so you can explain what was done and why.
For general questions about tests, models and output, start with statistics help. If the analysis is for a thesis or dissertation, dissertation statistics help covers analysis plans, data cleaning and results chapters, with you remaining the analyst as your institution requires. Researchers, teams and institutions can work with us through statistical consulting. If you prefer to learn by doing, a statistics tutor works through methods with you one to one.
We also offer software-specific support, including SPSS help, Stata, R and SEM, and support for qualitative analysis and systematic reviews. You can read our worked guides, such as choosing a statistical test, before you get in touch.
Statistics & data analysis services
- Statistics helpChoose the right test, run it correctly and understand every line of output.
- Dissertation statistics helpAnalysis plans, data cleaning, results chapters and committee-ready reporting.
- Statistical consultingConsulting for researchers, teams and institutions: design, power, models and review.
- Statistics tutorOne-to-one statistics tutoring online, from intro stats to multilevel models.
- SPSS helpSPSS analysis, output interpretation and APA tables, explained step by step.
- Stata helpStata for regression, panel data and econometrics, with reproducible do-files.
- R & RStudio helpR scripts, tidyverse, models and plots that you can rerun and explain.
- SEM analysis help (AMOS & SmartPLS)CB-SEM and PLS-SEM: measurement models, structural paths and reporting.
- Qualitative & thematic analysisThematic analysis, coding and NVivo support while you remain the analyst.
- Systematic & scoping review helpProtocols, search strings, screening and PRISMA reporting.
- Survey & questionnaire designValid, reliable questionnaires and survey instruments, piloted before launch.
- SAS, EViews, Python & other softwareHelp with SAS, EViews, Python, MATLAB, jamovi, JASP and Minitab.
Which service do I need?
- If you are not sure which test or model fits your question, start with statistics help.
- If the analysis is for your thesis or dissertation, start with dissertation statistics help.
- If you are a researcher, team or institution needing design, power or model review, start with statistical consulting.
- If you want to understand statistics for a course, start with a statistics tutor.
- If you work in SPSS, start with SPSS help.
- If you work in Stata, especially with panel data or econometrics, start with Stata help.
- If you work in R or RStudio, start with R and RStudio help.
- If you are testing a structural or measurement model, start with SEM analysis help with AMOS and SmartPLS.
- If you have interviews or open-ended data, start with qualitative and thematic analysis.
- If you are planning a systematic or scoping review, start with systematic review help.
- If you still need to build your questionnaire, start with survey and questionnaire design.
- If you use SAS, EViews, Python, jamovi or other tools, start with help with other statistical software.
Free guides
- Choosing a statistical test: a decision guide with examples
- What is standard deviation? Formula, examples and interpretation
- The correlation coefficient explained: Pearson, Spearman and how to report them
- t-tests explained: independent, paired and one-sample, and how to report them
- Regression analysis for your dissertation: how to run, read and write up results
- Hypothesis testing, p-values and confidence intervals in statistics