SPSS, Excel & data analysis

Statistical Analysis Support for UK Students

Get statistical analysis support with SPSS, Excel, data interpretation and results explanation for dissertations and research projects.

UK academic standards
Human-led support
Harvard / APA / OSCOLA
Confidential enquiries

How this support works

Statistical analysis support helps UK college and university students understand, organise, analyse and explain research data. This is especially useful for dissertations, thesis chapters, surveys, quantitative reports, research projects and business or health-related assignments.

Many students do not just need a calculation. They need help understanding what the data means, which statistical test is suitable, how to present tables and charts, and how to explain results in academic language.

Academic Teacher can support SPSS, Excel, descriptive statistics, survey results, basic inferential test discussion, charts, tables, interpretation and results write-up guidance where the brief and data are clear.

What can be included

SPSS output explanation
Excel data support
Descriptive statistics guidance
Test selection discussion where suitable
Charts, tables and results presentation
Results interpretation and academic write-up guidance
Survey data organisation and cleaning advice
Dissertation findings and analysis chapter support

Who this is for

  • • Dissertation students with survey or numerical data
  • • Students who need help understanding SPSS outputs
  • • Students working with Excel datasets
  • • Students unsure how to present tables, charts or test results
  • • Students preparing findings or results chapters
  • • Students needing support explaining data in academic language

What to send us

  • • Research questions or hypotheses
  • • Dataset or anonymised sample data
  • • Survey questions, coding sheet or variable list
  • • Methodology requirements
  • • Software preference such as SPSS or Excel
  • • Supervisor, tutor or marker guidance
  • • Required output format, deadline and academic level

Typical process

  1. 1. Review the research question, hypotheses, variable types, dataset and methodology expectations.
  2. 2. Identify the suitable support route: data cleaning, descriptive statistics, charting, SPSS output explanation, Excel analysis or results write-up guidance.
  3. 3. Help organise the data and explain what the outputs mean in relation to the research question.
  4. 4. Support the presentation of tables, charts, descriptive statistics or test results where suitable.
  5. 5. Provide guidance on how to discuss results clearly in academic language while staying aligned with the methodology.

SPSS help for dissertations and research projects

SPSS can be confusing because the software produces several tables, values and labels that students may not know how to interpret. The challenge is not only running an analysis; it is understanding what the output says and how it links to the research question.

Academic Teacher can help students understand SPSS outputs, descriptive statistics, frequencies, cross-tabulations, correlation, regression or other suitable tests where the methodology and data support it.

SPSS output explanation
Descriptive statistics
Frequencies and charts
Correlation support
Regression output discussion
Results interpretation

Excel data analysis support

Many students collect survey or project data in Excel before preparing tables, charts or summaries. Excel support can help organise the dataset, check basic structure, create clearer summaries and prepare results for academic presentation.

Where suitable, support can include descriptive statistics, charts, frequency tables, percentages, basic comparisons and results explanation.

Excel data organisation
Charts and tables
Descriptive summaries
Percentages and frequencies
Survey data support
Clear results presentation

Choosing and explaining statistical tests

Students often ask which statistical test they need. The answer depends on the research question, variables, measurement level, sample size, assumptions and course requirements.

Academic Teacher can support test-selection discussion where the student provides the research questions, hypotheses, variable information and methodology guidance. The aim is to help students understand why a test is suitable, not just name a test without context.

Research question alignment
Variable-type review
Hypothesis support
Descriptive vs inferential analysis
Test-selection discussion
Methodology alignment

Dissertation findings and results write-up

A strong findings or results chapter should not simply paste software output. Students need to select relevant results, present them clearly, label tables and charts properly, and explain what the findings show.

Support can help students convert outputs into a clearer academic results section, with attention to structure, table presentation, chart labels and links back to the research questions.

Findings chapter support
Results chapter structure
Table explanation
Chart description
Linking results to research questions
Academic write-up guidance

Quantitative, qualitative and mixed-methods support

Statistical analysis is usually linked to quantitative research, but many dissertations combine numbers with interview themes, survey comments or mixed-methods interpretation.

Academic Teacher can help students organise results according to their methodology, whether the project uses survey data, basic numerical analysis, thematic discussion or a mixed-methods structure.

Quantitative results
Survey data
Interview theme organisation
Mixed-methods structure
Research design alignment
Methodology consistency

Frequently asked questions

Can you help with SPSS outputs?

Yes. Support can include reading SPSS output, explaining tables, identifying relevant results and helping present the findings clearly.

Can you work with Excel data?

Yes. Excel-based descriptive statistics, charts, tables, frequencies, percentages and summaries can be supported where suitable.

Can you explain which statistical test I need?

Support can include test-selection discussion based on your research question, hypotheses, variable types, dataset and course requirements.

Can you help with dissertation data analysis?

Yes. Statistical analysis support is especially useful for dissertation findings, results chapters, survey analysis and research projects.

Can you help write the results chapter?

Support can help explain and structure the results section, including tables, charts, output interpretation and links back to the research questions.

Do I need to anonymise my data?

Where personal or sensitive data is involved, students should follow their university ethics and data protection requirements. Anonymised or sample data is usually safer to share.