Analysis and presentation of research results for your thesis

Organise data from a survey, interview or other original research. We help prepare tables, charts, analysis and a description of the results, as well as conclusions linked to the research questions and hypotheses of your thesis.

From collected data to clear conclusions

You have research results.
Show what they tell you.

Support with survey results for a bachelor's or master's thesis includes organising responses, preparing tables and charts, and presenting the data and conclusions in academic writing. We also help present findings from interviews and other original research in your research chapter, linking them to the aims and research questions of your thesis.

Do you need tests, correlations, or group comparisons? Check the separate service: “Statistical analysis for bachelor’s and master’s theses”. It covers method selection, calculations and interpretation. With this results-reporting service, you can also request the presentation of qualitative findings and editing of your chapter.

See an example of a results description

What you get

Results that are easier to understand and present

Organised research material

Instead of separate files and random compilations, you receive results arranged according to the issues your thesis investigates.

Readable tables and charts

You see counts, proportions, and differences in a format suited to the data, with descriptions explaining the key observations.

Conclusions based on results

You link the analysis with the thesis aim and research questions, taking into account what the collected material allows.

Scope of support

Analysis and presentation tailored to your research data

You may need just tables and charts, a description of respondents' answers, or help preparing the whole research chapter. We tailor the scope to the type of material, research design and university requirements.

Material preparation

Organising and checking data

When you have a survey export, a spreadsheet with answers, or scattered research materials.

  • Organising the database and variable names
  • Coding responses according to established rules
  • Checking for missing values, inconsistent entries, and possible duplicates
  • Determining how many responses to include in the summaries
  • Mapping data to research questions

Result: organised material for analysis and clear information on what requires explanation.

Presentation of results

Tables, charts, and percentage analysis

When you need to present survey results in a readable format for your thesis.

  • Preparing tables with results as well as charts and diagrams
  • Analysis of numerical and percentage data
  • Description of respondents' answers and characteristics of the study sample
  • Comments under tables and charts
  • Standardising captions, numbering, legends, and labels

Result: clear summaries showing what the values refer to and how to interpret them.

Analysis of collected material

Numerical data and open-ended responses

When describing individual responses is not enough to answer the thesis questions.

  • Descriptive statistics, such as the mean, median, and measures of dispersion, where appropriate for the data
  • Summaries of responses grouped by selected categories
  • Reporting test results and relating them to hypotheses, based on supplied calculations or calculations separately commissioned through the service “Statistical analysis for bachelor’s and master’s theses”
  • Categorising open-ended responses and analysing interview material
  • Organisation of observation results or document analysis

Outcome: analysis suited to the type of research, rather than one approach applied to every dataset.

Description and interpretation

Research chapter and conclusions from the study

When you want to combine summaries with a logical description of the findings.

  • Structuring the research chapter
  • Reporting your own research findings in an academic style
  • Interpreting the key differences and relationships
  • Summaries of research sections and reference to the research problems
  • Formulation of conclusions and indication of limitations on generalisation

Outcome: a coherent research section in which tables, commentary and conclusions complement each other.

Analysis and presentation of research results for your thesis

Clear reporting of results and grounded conclusions

I help organise your data, describe the results and draw conclusions in a clear, logical way that follows the aim of your thesis.

TABLES, CHARTS AND RESULTS REPORTING BASED ON YOUR DATA

What you gain
  • an organised description of tables and charts
  • language suited to academic writing
  • conclusions grounded in the data presented
  • a clearer chapter overall
clearspecificsubstantive

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Clear presentation of results and research conclusions. Click the graphic to enlarge it.

Scope of support in brief

Show what can be derived from the collected material

Send your survey results or research material and the research questions for your thesis. I will determine how to analyse and present the data.

  • Organised tables and charts.
  • Description corresponding to the research questions.
  • Conclusions derived from the material.

What we check when preparing your results

A good description explains the data instead of repeating the table

In the commentary, we highlight the main observations and explain how they relate to the research question. We also check the details that affect how the results are read. For an example of a written description and an explanation of how percentages are calculated, see the guide analysing and presenting research results step by step.

  • Sample size and the basis for calculating percentages
  • Missing responses and questions that allow multiple answers
  • Consistency of values in tables, charts, and the description
  • Selection of analysis based on the type of variables and research assumptions
  • Distinction between describing a result, its interpretation, and the conclusion
  • Reference to hypotheses and limitations of the studied sample

If the project requires statistical tests, we agree the scope after reviewing the data. The interpretation takes account of the assumptions of the analysis and, where appropriate, effect size and uncertainty in the estimates. A result that is not statistically significant still needs to be reported carefully.

Tailored scope

From summarising responses to the entire results chapter

We tailor the scope to the material you have: actual participant responses, transcripts or other research data, and the questions your thesis needs to answer.

Tables, charts and a description of survey results

You will receive the agreed tables and charts and a written account of the survey results: sample characteristics, response summaries, captions and commentary below the tables. I will state the counts and the denominator used for percentages. I will account for missing data and questions allowing multiple answers. The description will explain the main observations rather than repeat every value in a table.

Research chapter with conclusions

You can request a complete research section bringing your results together: subsection structure, a written account, summaries and answers to the research questions. For interviews, you will receive the agreed thematic categories and a discussion of what participants said, based on the supplied transcripts. I can also analyse open-ended survey responses. I will relate the conclusions to your study material and research questions. We agree any discussion in relation to the literature separately, taking account of the sources and the structure required by your university.

If you need statistical tests and hypothesis testing, combine the chapter preparation with selecting and carrying out analyses. I will determine the selection of methods and the execution of calculations separately. I can also prepare a description based on calculations you already have. Before starting, we will determine whether you need only summaries, a description with tables and charts, or the entire chapter. We will also agree on the format of tables and charts, file formats, and how the material will be delivered.

Original example using fictional data

From survey responses to a clear description

The figures below only illustrate how results can be presented; they are not findings from a client's study. The question asks about the preferred form of consultation. Each of the 40 people selected one answer, and there are no missing responses in this example.

Input material

40 responses to one question

  • Online: 24 people, 60%
  • In person: 16 people, 40%

Basis for percentages: 40 valid responses. Total: 100%.

Example description

In the studied group, 24 people (60%) preferred online consultations, and 16 people (40%) preferred in-person consultations. The online form was chosen more frequently; the difference was 20 percentage points.

The description refers to this group of 40 people. The summary alone does not show the reasons for the choice or the preferences of all students.

What will you receive when we analyse and present your data?

The agreed summaries, a written account addressing your research questions, and conclusions limited to what the material supports. We will check the denominator used for percentages, missing responses and the consistency of the figures in tables, charts and text.

This example does not include hypothesis testing. If you need correlations or group comparisons with significance assessment, we will determine the scope of the service “Statistical analysis for bachelor’s and master’s theses”.

First step

What should I send so you can assess the support I need?

The more complete the initial material, the easier it is to determine which analyses can be performed and what should be included in the chapter.

Source data

Send an Excel sheet, a CSV file, or an export of responses from the form. For interviews, attach transcripts. Remove data identifying participants if it is not needed for the analysis.

Research tool

Include the questionnaire, interview guide or observation sheet, together with a description of any codes and scales used.

Research aims and design

Provide the topic, objectives, research problems, and hypotheses. The methodological chapter and a description of the studied group will also be helpful.

Requirements and expected scope

Tell us whether you need tables, charts, analysis, a written description or all of these. Send your supervisor's comments, university guidelines and deadline.

Before you get in touch

Questions about analysing and presenting research results

Are charts from Google Forms sufficient?

They can be helpful for describing simple summaries. For checking calculations, comparing groups, or analysing relationships, you usually need to export individual responses, for example to Excel or CSV, along with the survey content. The charts alone do not show all the information needed for such an analysis.

Does every survey or thesis require statistical tests?

No. The scope of the analysis depends on the aim of the work and the research questions. Sometimes counts, percentages, and descriptive statistics are enough. If the study concerns differences or relationships, we check which methods are appropriate for the data and whether the conditions for their application are met.

A thesis based on interpreting regulations, a literature review, qualitative analysis of interviews, or an individual case study may not require testing statistical hypotheses. In qualitative research, the analysis may focus on the meaning of the statements. In that case, the appropriate support may be methodology, material analysis, or text editing. I do not add calculations just to make the thesis look more scientific or advanced.

Does the service cover interviews and open-ended questions?

Yes, the scope can include organising participant accounts, coding, identifying categories or themes, and describing them with examples from the material. We adapt our approach to the chosen qualitative method and the thesis research questions.

What if the results do not support the hypothesis?

We describe this in line with the analysis. A lack of support for the hypothesis is a research finding, not a reason to change the respondents' answers.

It also does not automatically mean the aim was not achieved: the aim may have been to check a specific relationship. We explain what follows from the data and what limitations must be considered. A lack of support for the hypothesis does not by itself prove that the relationship definitely does not exist.

Can an already prepared research chapter be improved?

Yes. We can check the consistency of tables, charts, calculations, comments, and conclusions, and adjust the layout to the supervisor's comments. To verify the accuracy of the results, we will also need the source data and the research instrument.

Want to discuss the support you need?

Visit the contact page and describe your topic, stage of work and the support you need.

Let’s discuss your project