Dissertation Findings & Results Chapter Writing UK — SPSS, NVivo, Thematic Analysis & Mixed-Methods
Trusted Since 2001 | 100% Human-Written | PhD Writers | Zero AI
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Projectsdeal is the UK's trusted dissertation findings & results chapter writing service since 2001. We write findings (qualitative) and results (quantitative) chapters for undergraduate, Masters and PhD dissertations across every UK university — using SPSS, R, Stata, JASP, AMOS and Smart-PLS for statistics; NVivo, Atlas.ti, MAXQDA and Dedoose for qualitative coding; and Braun & Clarke reflexive thematic analysis. Every chapter is written by a PhD-qualified UK academic, includes APA 7 tables and figures, reports effect sizes and confidence intervals (not just p-values), and is delivered with Turnitin AI & plagiarism reports plus a money-back guarantee. Check your price in 30 seconds — no signup, fully online.
Stuck on your dissertation findings or results chapter? You are not alone. After months of data collection, this chapter is where most UK students get blocked — the data is messy, the SPSS output is overwhelming, the interview transcripts are stacked up unread, and the deadline is closing in. Worse, UK examiners mark this chapter on a long checklist of things most students were never properly taught: assumption testing, effect size reporting, APA 7 table layout, reflexive thematic analysis, audit trail, anonymisation, traceability of every theme to verbatim quotation. At Projectsdeal.co.uk, a trusted UK writing company, we have been writing dissertation findings and results chapters for UK students since 2001 — for undergraduates, Masters candidates and PhD researchers across Russell Group, post-92 and specialist universities.
Whether you need a quantitative results chapter (descriptives, t-tests, ANOVA, regression, structural equation modelling, factor analysis, SPSS / R / Stata output written up to APA 7 standards), a qualitative findings chapter (Braun & Clarke reflexive thematic analysis, IPA, grounded theory, framework analysis, NVivo coding with verbatim quotations) or a mixed-methods chapter that integrates both narratives — we deliver fully customised chapters with proper assumption checking, effect size reporting, anonymisation, audit trail and APA / Harvard / Vancouver / OSCOLA tables and figures. Everything is online, no in-person meetings required, and your supervisor and university will never know.
At a glance — UK dissertation findings & results chapter
25+
Years trusted since 2001
SPSS·R·NVivo
Full software coverage
APA 7
Tables & figures standard
0%
AI content (Turnitin verified)
UG·MA·PhD
All academic levels
100%
Money-back guarantee
PD
Reviewed by the Projectsdeal editorial team
Projectsdeal Academic Editorial Board
UK-qualified PhD-level academics with hands-on experience writing and supervising findings and results chapters across Business, Health Sciences, Education, Psychology, Law and STEM — for UK undergraduate, Masters and PhD students since 2001.
Last reviewed: April 2026 · Updated for 2025/26 UK reporting standards (APA 7, Braun & Clarke 2022)
What Is a Dissertation Findings & Results Chapter?
Definition
A dissertation findings or results chapter is the section of a UK dissertation that presents what your data actually showed. In quantitative dissertations it is normally called the results chapter and reports descriptive statistics, inferential test outputs and APA-formatted tables and figures. In qualitative or mixed-methods dissertations it is normally called the findings chapter and presents themes, sub-themes, codes and verbatim participant quotations.
UK markers grade this chapter on three things: accuracy (do the numbers, themes and quotes truly reflect the data?), structure (is the reporting logical, signposted and linked back to research questions?) and transparency (could the analysis be audited or replicated?). Critically, this chapter reports the data — interpretation belongs in the discussion chapter. At Projectsdeal we write findings and results chapters that hit all three at undergraduate, Masters and PhD level.
Findings vs Results vs Discussion — Why It Matters
One of the easiest ways UK students lose marks is by mixing the findings chapter with the discussion chapter. Examiners hate it. Here is the rule UK supervisors apply:
Quantitative
Results Chapter
Reports the numerical output of statistical tests. Neutral, evidence-led, non-interpretive.
- Sample characteristics & descriptives (M, SD, N)
- Reliability output (Cronbach's α, McDonald's ω)
- Assumption tests (Shapiro-Wilk, Levene's, VIF)
- Inferential tests (t, F, χ², r, R², β)
- Effect sizes & 95% confidence intervals
- APA 7 tables, charts & histograms
Qualitative
Findings Chapter
Presents themes, codes and participant voices. Narrative, evidence-led, descriptive not interpretive.
- Participant profile table (anonymised)
- Themes & sub-themes structure
- Verbatim quotations with line references
- Code frequencies / NVivo coding tree
- Thematic map / visual diagram
- Audit trail & reflexivity statement
The discussion chapter is where you interpret all of this — link back to literature, explain implications, acknowledge limitations and answer the research question. We also write that. See Dissertation Discussion & Conclusion Chapter Writing UK.
Quantitative, Qualitative & Mixed-Methods — We Write All Three
UK examiners want a findings or results chapter that uses the right reporting conventions for the chosen paradigm. We write all three with discipline-specific rigour:
Quantitative
Quantitative Results
Statistical reporting in APA 7 with assumption testing, effect sizes and 95% CIs:
- Descriptive statistics & sample profile
- Independent / paired t-tests, ANOVA, MANOVA
- Correlation, regression, multiple & logistic
- Chi-square, non-parametric (Mann-Whitney, Kruskal-Wallis, Wilcoxon, Friedman)
- Factor analysis (EFA, CFA), SEM (AMOS, Smart-PLS)
- Time-series, panel data, econometric output
Qualitative
Qualitative Findings
Themes, codes and participant voices, structured for UK examiners:
- Braun & Clarke reflexive thematic analysis (2006, 2022)
- IPA — Interpretative Phenomenological Analysis
- Grounded theory (Glaser, Strauss & Corbin, Charmaz)
- Framework analysis (Ritchie & Spencer / NHS)
- Discourse, narrative & content analysis
- NVivo / Atlas.ti / MAXQDA coding trees
Mixed-Methods
Mixed-Methods Integration
Quantitative + qualitative findings woven into one coherent chapter:
- Sequential explanatory (QUAN → QUAL) joint display
- Sequential exploratory (QUAL → QUAN) integration
- Concurrent / convergent triangulation matrix
- Embedded design integration narrative
- Meta-inference and integration tables (Creswell)
- Pillar integration process (PIP) where appropriate
Statistical Tests & Qualitative Methods We Report
From basic descriptives to advanced multivariate modelling, we report every analysis your dissertation requires — with assumption checks, effect sizes and confidence intervals to UK Masters and PhD standard.
Quantitative tests we report (SPSS, R, Stata, JASP)
DescriptivesM, SD, range, skew, kurtosis
ReliabilityCronbach's α, McDonald's ω
t-testsIndependent & paired
ANOVAOne-way, two-way, repeated
MANOVAMultivariate ANOVA
ANCOVACovariate-adjusted
CorrelationPearson, Spearman, Kendall
RegressionLinear, multiple, hierarchical
LogisticBinary, ordinal, multinomial
Chi-squareIndependence, goodness-of-fit
Non-parametricMann-Whitney, Kruskal-Wallis, Wilcoxon
Factor analysisEFA & CFA
SEMAMOS, Smart-PLS, lavaan
Mediation / ModerationPROCESS macro (Hayes)
Time seriesARIMA, panel, VAR
Survival analysisKaplan-Meier, Cox
Qualitative methods we report (NVivo, Atlas.ti, MAXQDA)
Reflexive TABraun & Clarke 6 phases
IPASmith, Flowers & Larkin
Grounded TheoryOpen, axial, selective coding
FrameworkRitchie & Spencer / NHS
Discourse AnalysisFoucauldian, CDA
Narrative AnalysisRiessman, Labov
Content AnalysisKrippendorff inter-coder reliability
PhenomenologyHusserl, Heidegger, van Manen
EthnographyThick description (Geertz)
Case StudyYin / Stake within-case
Thematic mappingVisual theme diagrams
Coding treeHierarchical NVivo nodes
Software We Use to Analyse Your Data
Send your dataset and we run the analysis in the software your university expects. Output files, syntax and codebooks are delivered with the chapter on request — great for transparency and your viva.
SPSS
Industry standard, UG & Masters
R / RStudio
Advanced stats, PhD-level
Stata
Econometrics & panel data
JASP / Jamovi
Bayesian & modern reporting
Smart-PLS
PLS-SEM, Business & Marketing
Python
Data science & ML dissertations
EViews
Time series & macro
NVivo
UK qualitative gold-standard
Atlas.ti
Network coding & visual
MAXQDA
Mixed-methods integration
Dedoose
Cloud-based mixed-methods
UK Reporting Standards — APA 7, Effect Sizes & Trustworthiness
UK Masters and PhD examiners expect modern reporting standards. Reporting just p < .05 no longer passes — you need effect sizes, confidence intervals and proper trustworthiness criteria for qualitative work. Every chapter we deliver follows these standards by default:
What every Projectsdeal results chapter includes
APA 7 tables
Sample characteristics, descriptives, correlation matrices, regression, ANOVA, model fit indices — properly formatted to APA 7th edition (or Harvard, Vancouver, OSCOLA).
Effect sizes
Cohen's d, eta-squared (η²), partial eta-squared, Cramer's V, R², Adjusted R², odds ratios — never just bare p-values.
95% CIs
Confidence intervals reported alongside means, regression coefficients and odds ratios — standard at UK Masters and PhD level.
Assumption tests
Normality (Shapiro-Wilk), homogeneity (Levene), multicollinearity (VIF), independence (Durbin-Watson), outliers (Mahalanobis, Cook's).
Trustworthiness
For qualitative work: Lincoln & Guba criteria — credibility, transferability, dependability, confirmability — integrated into the chapter narrative.
Audit trail
Anonymised participant table, NVivo coding tree, thematic map and reflexivity statement — everything an external examiner needs.
Charts & figures
Histograms, scatter plots, Q-Q plots, bar charts, box plots, forest plots, thematic maps — embedded in APA 7 figure format.
Verbatim quotes
Anonymised participant quotations with line references and pseudonyms — fully traceable back to themes and codes.
Why UK Students Choose Projectsdeal for Findings & Results Chapters
The findings or results chapter is where most dissertations either get a Distinction or a borderline pass. Our PhD-qualified UK academics have written and supervised hundreds of these chapters across UK Russell Group, post-92 and specialist universities. Here is what you get:
Real PhD writers, not AIYour chapter is written by a UK academic who has run the analysis and written real dissertations — not a free AI tool.
SPSS / R / Stata / NVivo done rightOutput read directly from the software, written up to APA 7 standards, with syntax and codebooks delivered on request.
Effect sizes and CIs by defaultCohen's d, eta-squared, R-squared, 95% confidence intervals reported alongside p-values — the modern UK standard.
Reflexive thematic analysisBraun & Clarke (2006, 2022) done properly, with full coding tree, thematic map and verbatim quotations.
Anonymisation & ethics-safeParticipants properly pseudonymised, identifying data redacted, GDPR / UK Data Protection Act 2018 compliant.
Assumption testing built inShapiro-Wilk, Levene's, VIF, Durbin-Watson, Mahalanobis — we test before we report.
Plagiarism-free guaranteeEvery chapter written from scratch. Turnitin similarity plus AI Detection report with every order.
Money-back guaranteeIf we materially miss your brief, you are refunded. Order with zero risk.
Subjects We Cover for Findings & Results Chapter Writing
Findings and results chapter help across every major UK dissertation discipline.
Business & Management (PLS-SEM)
Marketing & Consumer Behaviour
Finance & Accounting
Economics (econometrics)
HRM & Organisational Behaviour
Law (doctrinal & socio-legal)
Medicine & Clinical (RCT, meta-analysis)
Nursing (NVivo, framework)
Public Health (Cochrane, meta)
Psychology (IPA, RCT, SEM)
Education (action research, BERA)
Sociology (ethnography, mixed)
Criminology (regression, themes)
Politics & IR (case study)
Engineering (experimental)
Computer Science (ML, evaluation)
Data Science (Python, R)
Architecture & Built Environment
How to Order Your Findings/Results Chapter — 3 Simple Steps
Everything is done online. No need to visit anywhere — submit from your halls, the library or supervisor meeting in 30 seconds.
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Share Your Requirements
Topic, research question, dataset (if any), deadline, word count, paradigm, university and referencing style. Takes 30 seconds.
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See Your Price & Pay Securely
Get your exact price instantly. Pay by card (Visa/Mastercard/Amex) through encrypted UK providers.
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Chapter to Your Inbox
A PhD writer in your discipline starts immediately. Delivered before deadline with Turnitin reports, syntax & codebook included.
Urgent Findings & Results Chapter Help
Supervisor wants raw analysis tomorrow? Viva on Friday? We handle urgent findings and results chapter orders from 24-hour turnaround for Masters chapters and 72-hour for PhD-level work. Pricing stays transparent with no hidden surcharges. See our dedicated Last-Minute Dissertation Help and PhD Viva Preparation pages for exact deadlines.
Us vs Essay Mills vs Free AI — For Findings/Results Chapters
Findings and results chapters expose any weakness in statistical or qualitative literacy fast. Here is how Projectsdeal compares with essay mills and free AI tools for analysis-heavy chapters.
| Feature |
Projectsdeal (since 2001) |
Essay mills |
Free AI generators |
| Real SPSS / R / Stata output (not fabricated) |
Yes, syntax + codebook |
Often invented |
Hallucinated |
| NVivo / Atlas.ti / MAXQDA coding tree |
Yes, full project file |
Rarely |
No |
| Effect sizes & 95% confidence intervals |
Always reported |
Often missing |
Wrong / fabricated |
| Assumption testing (Shapiro, Levene, VIF) |
Always |
Sometimes |
Skipped |
| APA 7 tables & figures |
Properly formatted |
Variable |
Generic / off-format |
| Verbatim quotations linked to themes |
Traceable to transcripts |
Often invented |
Fabricated |
| GDPR-safe anonymisation |
Pseudonyms + redaction |
Variable |
Ignored |
| Zero AI policy |
Strictly enforced |
Often uses AI silently |
AI-only |
| Turnitin AI + similarity report included |
Yes |
No |
Fails AI check |
| Free unlimited revisions |
Yes |
Charge extra |
None |
| Operating since |
2001 |
Varies |
N/A |
Core Dissertation Services
PhD & Masters Level Services
Subject-Specific Dissertation Help
Research, Editing & Related Services
✔
Zero AI. 100% Human-Written. Verified.
Every findings or results chapter is written from scratch by a PhD-qualified UK academic and verified with the official Turnitin AI Detection report. You get the exact same Turnitin report your supervisor and external examiner will see — 0% AI and 0% plagiarism, in writing.
Turnitin AI Report
Turnitin Similarity Report
0% AI Guaranteed
0% Plagiarism
UK PhD Writers Only
Money-Back Guarantee
What UK Students Say About Our Findings & Results Chapters
★★★★★
Lauren M. — MSc Marketing, Russell Group
PLS-SEM in Smart-PLS done properly with all model fit indices, full bootstrap output and APA 7 tables. Got 76% — my supervisor was impressed.
★★★★★
Daniyal R. — PhD Public Health
Mixed-methods integration matrix combined RCT results with NVivo themes brilliantly. Passed upgrade panel with no major corrections.
★★★★★
Charlotte W. — MSc Psychology
Reflexive thematic analysis with proper coding tree, themes, sub-themes and verbatim quotes. Reflexivity statement was the cherry on top.
★★★★★
Ahmed K. — DBA Strategy
Multiple regression with VIF, Durbin-Watson and Cook's distance all reported. Effect sizes and 95% CIs alongside p-values — exactly what my external wanted.
★★★★★
Megan H. — MA Education
Framework analysis on 18 teacher interviews with full audit trail. NVivo project file delivered with codebook — saved my viva.
★★★★★
Joel S. — MSc Data Science
Random forest, XGBoost and SHAP feature importance all in Python with proper evaluation metrics (precision, recall, F1, AUC). Cleanest results chapter I have read.
Frequently Asked Questions — Findings & Results Chapter
What is a dissertation findings or results chapter?
It is the section of your dissertation that presents what your data showed — descriptive statistics, inferential test outputs, themes, codes or qualitative narratives. UK examiners assess it on accuracy, structure and transparency. Critically, the chapter reports the data — interpretation belongs in the discussion chapter.
What is the difference between findings, results and discussion?
The results chapter (quantitative) reports numerical outputs — means, p-values, effect sizes, regression coefficients. The findings chapter (qualitative or mixed-methods) presents themes, codes and verbatim quotations. The discussion chapter is separate — it interprets findings, links them to literature and answers the research question.
Do you write SPSS, R, Stata, NVivo and Atlas.ti results?
Yes. We deliver chapters with raw analysis using SPSS, R, Stata, Python, JASP, AMOS and Smart-PLS for quantitative work, and NVivo, Atlas.ti, MAXQDA and Dedoose for qualitative coding. APA-formatted tables and figures, syntax / output files and codebooks are included on request.
Can you do thematic analysis with quotations?
Yes. We deliver Braun & Clarke (2006, 2022) reflexive thematic analysis with full themes, sub-themes, codes and verbatim participant quotations — properly anonymised and embedded into the findings narrative. Also IPA, grounded theory, discourse analysis and framework analysis.
Will you include APA-formatted tables and figures?
Yes. Every results chapter includes APA 7th edition (or Harvard, Vancouver, OSCOLA on request) tables, figures and statistical reporting — descriptives, correlation matrices, regression tables, ANOVA tables, model fit indices, charts, histograms, scatter plots and Q-Q plots.
Do you report effect sizes and confidence intervals?
Yes. UK examiners expect effect sizes (Cohen's d, eta-squared, Cramer's V, R-squared) and 95% confidence intervals alongside p-values. We follow modern UK reporting standards — magnitudes, not just statistical significance.
Can you analyse my own dataset?
Yes. Send your dataset (SPSS .sav, Excel .xlsx, CSV, NVivo .nvp, Atlas.ti .atlproj, transcripts) and we run the analysis and write the chapter around it. We can also help you collect, clean and code data from scratch.
Do you check assumptions before running tests?
Yes. We check normality (Shapiro-Wilk, Kolmogorov-Smirnov), homogeneity (Levene's), multicollinearity (VIF), independence (Durbin-Watson), linearity and outliers (Mahalanobis, Cook's distance) before reporting parametric tests — and switch to non-parametric alternatives where assumptions fail.
Can I get urgent findings chapter help?
Yes. We accept urgent findings or results chapter orders from 24-hour turnaround for Masters and 72-hour for PhD-level chapters. Pricing stays transparent with no hidden surcharges.
Will my data be safe and confidential?
Yes. Datasets, transcripts and identifying information are handled under strict GDPR / UK Data Protection Act 2018 procedures. Files are encrypted, never shared, and deleted on request after delivery.
Do you offer free revisions?
Yes. Free unlimited revisions are included on every findings or results chapter until it aligns with your supervisor feedback and university guidelines. Money-back guarantee applies if we materially miss your brief.
Is using a results chapter writing service legal in the UK?
Yes. Using an academic writing service for reference, guidance and study support is legal in the UK. Projectsdeal delivers findings and results chapters as model learning material to help students understand structure, reporting standards and analytical rigour for their own work.
Trusted Since 2001 · Zero AI · PhD Writers
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Turn Your Data Into A Distinction-Grade Chapter
Send us your dataset, transcripts or research question. A PhD-qualified UK academic will run the analysis and deliver a fully-written findings or results chapter — APA 7 tables, effect sizes, NVivo themes, verbatim quotations — before your deadline. Turnitin AI & similarity reports included.
✓SPSS · R · Stata · NVivo
✓APA 7 Tables & Figures
✓Effect Sizes + 95% CIs
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