Transform Your Numerical Data into Valid, Actionable, and Defensible Results

Quantitative research is more than numbers—it’s about uncovering patterns, testing relationships, and generating evidence-based conclusions. But collecting data is only half the challenge. The real test lies in selecting the right statistical methods, applying them correctly, and interpreting the results in ways that are relevant, rigorous, and review-ready. At Qwerty Script, we provide expert-level quantitative analysis services to help students, scholars, researchers, and organizations make sense of survey data, experimental results, or numeric datasets. From statistical tests to data visualization, we ensure your analysis is methodologically sound and academically defensible. Whether you're writing a dissertation, preparing a journal submission, or analyzing a large-scale survey, our team brings deep statistical expertise with clear, customized support—designed for both technical accuracy and non-statistical audiences.

Quantitative analysis allows you to:

• Test hypotheses using empirical data
   
• Prove or disprove correlations, causations, or group differences
   
• Translate abstract concepts into measurable indicators
   
• Draw generalizable conclusions from sample data
   
• Provide evidence for decisions in education, health, business, policy, and science
   

However, poorly conducted analysis can lead to:

• Invalid or misleading conclusions
   
• IRB or committee rejection
   
• Journal or supervisor criticism
   
• Wasted time and resources
   

That’s why methodological alignment, accurate interpretation, and transparent reporting are essential—and why our consultants prioritize all three.

Our quantitative analysis consulting is ideal for:

• PhD and Master’s students conducting experimental, correlational, or survey-based research
   
• Academic researchers analyzing data for publication or funding applications
   
• Corporate teams and consultants using quantitative insights for reporting or decision-making
   
• NGO researchers and MEL teams interpreting survey or evaluation results
   
• Medical, education, or policy researchers with structured datasets and measurable variables
   

Whether you're new to statistics or a seasoned researcher needing advanced modeling support, we’re here to help.

We offer comprehensive support across the entire analysis process—from planning and dataset structuring to test selection, software execution, and write-up. You can request full service or support at any individual stage.

We begin by reviewing your dataset to:

• Check for errors, duplicates, or missing values
   
• Conduct variable labeling and formatting
   
• Handle outliers or anomalies
   
• Convert raw data into analysis-ready formats
   
• Recode variables (e.g., Likert scale collapsing)
   

Clean, structured data is the foundation for valid results.

We help you choose the right statistical test based on your:

• Research questions or hypotheses
   
• Level of measurement (nominal, ordinal, interval, ratio)
   
• Number and type of variables
   
• Sample size and distribution
   
• Methodology (experimental, descriptive, inferential)
   

Common tests we run include:

• Descriptive statistics (mean, SD, frequency, mode)
   
• Correlation (Pearson, Spearman)
   
• T-tests (independent, paired)
   
• ANOVA (one-way, repeated measures)
   
• Chi-square tests
   
• Linear and multiple regression
   
• Logistic regression
   
• Factor analysis
   
• MANOVA and MANCOVA
   
• Reliability testing (Cronbach’s alpha)
   
• Mediation/moderation analysis
   
• Structural Equation Modeling (SEM)
   

We run your analysis using the software of your choice, including:

• SPSS
   
• R and RStudio
   
• STATA
   
• JASP
   
• Excel or Google Sheets
   
• Python (for custom scripting)
   

We deliver both raw output and simplified summaries with interpretation.

We translate complex statistics into clear academic narratives by:

• Explaining what the results mean in context
   
• Linking results to research questions or hypotheses
   
• Avoiding jargon while preserving accuracy
   
• Highlighting statistically significant findings
   
• Reporting p-values, confidence intervals, effect sizes, and assumptions
   
• Clarifying limitations and practical implications
   

All results are formatted to meet your institution’s requirements (APA 7, Harvard, MLA, or custom styles).

We assist in drafting or editing your:

• Dissertation Chapter 4
   
• Thesis Results and Discussion
   
• Journal submission results
   
• Technical data reports
   

Sections include:

• Descriptive overview
   
• Inferential results
   
• Tables, charts, and figures
   
• Interpretation with citations
   
• Visualizations (bar graphs, scatter plots, histograms, boxplots)
   

We align the narrative with your original research questions, hypothesis structure, and methodology.

Need to address feedback from your supervisor, committee, or journal reviewer? We provide:

• Reanalysis based on new questions
   
• Clear explanations for each test used
   
• Supporting documentation and appendices
   
• Coaching on how to defend your statistical choices in presentations or defenses
   

We tailor our quantitative analysis to your design, ensuring internal consistency from problem statement to data interpretation.

• Frequency, distribution, central tendency, and variability
   
• Often used for needs assessments, demographic analysis, and baseline studies
   

• Examining the relationship between variables (positive, negative, or none)
   
• Used to explore trends and associations
   

• Pre-test/post-test, control groups, and interventions
   
• Used for causal inference and program evaluation
   

• Large-scale data collection via questionnaires or online platforms
   
• Used in education, marketing, public health, and policy
   

• Investigating differences between groups when random assignment is not possible
   

• Using regression and SEM to test relationships, mediation, or path models
   

With Qwerty Script’s quantitative analysis services, you’ll receive:

• A cleaned and labeled dataset (in .sav, .xlsx, .csv, or .rds format)
   
• All statistical outputs from your chosen software
   
• APA- or institution-ready tables, charts, and graphs
   
• Narrative interpretation of each analysis
   
• Chapter 4 or results section drafts (if requested)
   
• Clarification of assumptions and limitations
   
• Revision support for 7 days
   
• 100% human-run analysis—no automated summaries or black-box outputs
   

We ensure transparency in every step so you can confidently explain your results to supervisors, committees, or stakeholders.

You provide:

• Your dataset (or raw data to be entered)
   
• Research questions/hypotheses
   
• Methodology or proposal (if available)
   
• Institutional or formatting requirements
   

We develop a detailed plan covering:

• Type of analysis
   
• Software to be used
   
• Output and report structure
   
• Timeline
   

We run the analysis, prepare outputs, and translate findings into meaningful academic text.

You review our outputs, and we make any refinements you need—no extra charge for revisions within 7 days.

• Academic + Statistical Expertise
  Our consultants hold advanced degrees in statistics, data science, public health, economics, and education.
   
• Custom, Human-Run Analysis
  We do not rely on AI automation. Every analysis is performed, interpreted, and written by a real expert.
   
• Discipline-Specific Alignment
  Whether your project is in psychology, education, business, or environmental science—we speak your field’s language.
   
• Full Transparency and Coaching
  We don’t just hand over results—we walk you through them.
   
• Ethical and Confidential
  Your data stays secure. We comply with IRB, FERPA, HIPAA, and GDPR data standards.
   

• We don’t invent or fabricate data.
   
• We don’t run analyses without ensuring methodological alignment.
   
• We don’t cut corners on statistical assumptions.
   
• We don’t outsource your project to freelancers or third-party vendors.
   

Your research deserves more than just statistical output—it deserves interpretation that contributes to knowledge and change.

When the numbers are in, but the meaning isn’t clear—Qwerty Script is here to help. Our quantitative analysis services give you the tools and confidence to understand, present, and defend your data-driven findings with ease.

📧 info@qwertyscript.com
📧 qwertyscript@consultant.com

Let’s turn your dataset into insights that matter—because behind every number is a story waiting to be told.