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No.1 Statistics & SPSS Help Worldwide. PhD Statisticians, Since 2001

Get statistical analysis done right by PhD statisticians. SPSS, STATA, R, SAS, Python, EViews, AMOS, SmartPLS, NVivo. Hypothesis testing, regression, ANOVA, factor analysis, SEM, qualitative coding. We run the analysis on your data file, output the results, and write the interpretation chapter. Trusted by researchers and students in 60+ countries.

100% Human Analysis • PhD Statisticians • All Major Software
20,000+Analyses since 2001
150+PhD statisticians
3 hFastest turnaround
15+Software platforms

Why Researchers Worldwide Choose Projectsdeal for Statistics

1. PhD Statisticians, Not Generalists

Writers hold PhDs in Statistics, Econometrics, Data Science, Quantitative Psychology. They know which test fits which research design.

2. We Run Your Data

Upload your SPSS / Excel / CSV file. We run the analysis, output tables, generate charts, write interpretation.

3. All Major Software Supported

SPSS, STATA, R, SAS, Python, EViews, AMOS, SmartPLS, Mplus, NVivo, ATLAS.ti, MAXQDA, JASP, RevMan, Tableau.

4. Output + Written Interpretation

You get the software output PLUS a written results chapter in APA / Vancouver / Harvard format. Ready to drop into your thesis.

5. PRISMA / Meta-Analysis Support

Systematic reviews and meta-analyses with RevMan or CMA. PROSPERO-ready protocols. Effect size pooling.

6. Methods Chapter Writing

We also write the methodology chapter explaining design, sampling, data collection, analysis approach, ethics.


Worldwide Grading Systems. Which Mark Band Do You Need?

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2:1 / B+ / Credit
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Top
First / A / HD
On Request

How It Works in 3 Steps

1

Send Your Brief

Upload your data file, research questions, hypotheses, software preference, deadline. Takes 30 seconds.

2

Get a Quote in 30 Seconds

Transparent quote by email. PhD statistician matched to your research design and software.

3

Receive Your Essay

Delivered with Turnitin similarity + 0% AI reports. Free unlimited revisions.


12 Statistical Analyses We Run

Descriptive Statistics

Mean, median, SD

Frequencies, central tendency, dispersion, distribution checks, normality tests. Tables and charts.

T-tests & ANOVA

Group comparison

Independent / paired t-tests. One-way / factorial / repeated-measures ANOVA. Post-hoc tests (Tukey, Bonferroni).

Regression Analysis

Linear / logistic

Simple, multiple, hierarchical, logistic, multinomial regression. Assumptions checked, diagnostics reported.

Correlation Analysis

Pearson / Spearman

Bivariate correlation, partial correlation, Kendall's tau. Correlation matrices for multivariate data.

Factor Analysis

EFA / CFA / PCA

Exploratory and Confirmatory Factor Analysis. PCA. Factor loadings, KMO, Bartlett's test, scree plots.

Structural Equation Modelling

AMOS, Mplus, SmartPLS

SEM, path analysis, mediation, moderation. Model fit indices, bootstrapping.

Non-Parametric Tests

Mann-Whitney, Kruskal-Wallis

For non-normal or ordinal data. Wilcoxon, Friedman, chi-square tests.

Survival / Time-to-Event

Kaplan-Meier, Cox

Kaplan-Meier curves, log-rank tests, Cox proportional hazards regression.

Time Series Analysis

ARIMA, GARCH

ARIMA, GARCH, VAR, cointegration. EViews / STATA-based econometric work.

Meta-Analysis

RevMan, CMA, R metafor

Effect size pooling, heterogeneity (I², Q-test), forest plots, funnel plots, publication bias.

Qualitative Coding

NVivo, ATLAS.ti, MAXQDA

Thematic analysis, content analysis, grounded theory, framework analysis. Codebook development.

Machine Learning

Python scikit-learn, R

Classification, regression trees, random forests, SVM, neural networks, clustering, dimensionality reduction.


Software & Tools We Use

SPSS STATA R / RStudio SAS Python (pandas, scikit-learn) EViews AMOS (SEM) SmartPLS Mplus JASP JAMOVI NVivo ATLAS.ti MAXQDA RevMan CMA (Meta-Analysis) Tableau Power BI Excel / VBA MATLAB G*Power (sample size) PROCESS macro Lavaan (R SEM)
Common research designs we support: Cross-sectional • Longitudinal • Cohort • Case-control • RCT • Quasi-experimental • Mixed methods • Systematic review • Meta-analysis • Phenomenological • Grounded theory • Ethnography • Action research.

Testimonials

“SPSS regression analysis on consumer behaviour data, n=412. Hypothesis testing, mediation. APA tables. Distinction.”

— MSc Marketing • Imperial, UK • ★★★★★

“CFA + SEM in AMOS for PhD thesis. Model fit indices, bootstrapping, path coefficients. Supervisor approved on first review.”

— PhD OB • LSE, UK • ★★★★★

“Meta-analysis on CBT for depression. 30 studies, RevMan, forest plots, heterogeneity assessment. Top mark.”

— MSc Psychology • UCL, UK • ★★★★★

“Time series analysis in STATA. ARIMA, GARCH, cointegration. Econometric thesis chapter. Distinction.”

— MSc Finance • LBS, UK • ★★★★★

“NVivo thematic analysis of 25 interview transcripts. Codebook + theme development + report. High distinction.”

— PhD Sociology • Sydney, Australia • ★★★★★

“Python ML analysis for retail forecasting. Scikit-learn, random forest, XGBoost. Code + report. A+.”

— MSc Data Science • NUS, Singapore • ★★★★★

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FAQs

Can you do SPSS analysis?

Yes. Descriptive stats, t-tests, ANOVA, regression, factor analysis, reliability (Cronbach's alpha), mediation/moderation via PROCESS macro.

Can you do STATA / R / SAS?

Yes. STATA for econometrics and panel data. R for advanced statistics. SAS for clinical/biostatistics. Each has a PhD specialist.

Can you run my own data file?

Yes. Upload your SPSS .sav, Excel .xlsx, CSV, or STATA .dta. We clean, analyse, output results, and write interpretation.

Can you write the methods chapter?

Yes. Research design, philosophy, sampling, data collection, analysis approach, ethics, limitations. APA / Harvard / Vancouver.

Do you do meta-analyses?

Yes. PRISMA-aligned systematic reviews + meta-analyses. RevMan, CMA, R metafor. PROSPERO protocol support.

Can you do SEM (Structural Equation Modelling)?

Yes. AMOS, Mplus, SmartPLS, lavaan in R. Confirmatory factor analysis, path analysis, mediation/moderation, multi-group analysis.

Can you do qualitative coding (NVivo / ATLAS.ti)?

Yes. Thematic analysis, content analysis, grounded theory, framework analysis. Codebook development and theme identification.

Can you do machine learning in Python / R?

Yes. Classification, regression, clustering, dimensionality reduction. Scikit-learn, TensorFlow, PyTorch, caret, tidymodels.

How fast can you deliver?

From 3 hours for simple analyses to 7 days for complex SEM or meta-analyses. Most under 48 hours.

Is my data confidential?

Yes. NDA on file. Data deleted from our servers after delivery. We do not use your data for any other purpose.

How do I get a quote?

Use the calculator at the top. Quote in 30 seconds.


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