I can help you conduct factor analysis using R programming
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Project Details
Why Hire Me?
📱Click to Connect on Whatsapp to Discuss Your Project
With over 7 years of experience in statistical modeling, I specialize in using R to perform both exploratory and confirmatory factor analysis tailored to business and research needs. I ensure every step— from data preprocessing to factor extraction, rotation, and reporting— is conducted with methodological rigor and transparency.
Highlights of My Expertise
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Deep command of R packages:
psych,factoextra,lavaan,nFactors, and more -
Proven experience across psychology, marketing, HR analytics, and education domains
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Ability to interpret and simplify technical results for decision-makers and researchers
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Reports include diagnostic tests (KMO, Bartlett’s), visualizations, and interpretation of factor loadings
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Reliable, deadline-oriented, and responsive communication
What I Need to Start Your Project
To conduct accurate and insightful factor analysis in R, I need the following information from you:
1) Project Overview and Objectives
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What research question or business goal are you addressing through factor analysis?
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Are you interested in exploratory (EFA), confirmatory (CFA), or PCA?
2) Dataset Details
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File format (CSV, Excel, RData) and size
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Variable descriptions and expected structure (numeric/ordinal)
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Data cleaning status or missing value handling expectations
3) Assumptions and Pre-analysis Checks
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Any preliminary tests you want me to run (e.g., KMO, Bartlett's test)
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Whether normality, sampling adequacy, and multicollinearity should be reported
4) Reporting Format and Preferences
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Final output format: PDF, Word, Markdown, or HTML
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Level of detail: technical (academic) vs. simplified (managerial)
5) Visual Output Requirements
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Scree plots, loading plots, biplots, factor maps, etc.
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Graphs color-coded by loading strength or component grouping (if applicable)
6) Timeline and Deadlines
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Preferred delivery date and any intermediate checkpoints
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Any presentation, review, or submission deadlines
7) Communication Setup
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Preferred mode of contact: Email, WhatsApp, Zoom
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Expected update frequency and review feedback process
8) Access to R or Reproducibility Needs
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Will you run the code on your end or just need results?
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Do you want commented R scripts and explanations for reproducibility?
9) Support Post Delivery
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Do you need a review session or presentation walkthrough?
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Any requirement for future enhancements or model extensions?
Portfolio
Simplifying U.S. Clinic Patient Feedback with R-Based Factor Analysis
Performed factor analysis on a patient satisfaction survey from multiple U.S. clinics. Reduced 27 items into 4 key dimensions, enabling focused service improvements and better resource allocation.
Uncovering Retention Drivers Through Factor Analysis in R for a U.S. Tech Company
Used R-based factor analysis to identify the latent dimensions of employee satisfaction in a U.S. tech firm. The study highlighted recognition, autonomy, and leadership quality as key predictors of employee retention intent.
R-Based Factor Analysis to Decode Product Preferences from U.S. Consumer Survey Data
Used factor analysis in R to simplify 30 consumer perception variables into 5 actionable preference categories. Helped a U.S.-based consumer brand realign its marketing to appeal to clearly defined psychographic segments.
Process
Customer Reviews
10 reviews for this Gig ★★★★☆ 4.2
Outstanding factor analysis using R. Everything was well-structured—from assumptions testing to rotation and interpretation. Helped me uncover clear latent structures in my survey data.
The support I received went beyond basic analysis. He helped me prepare my data, choose the right number of factors, and understand what the patterns meant. Very knowledgeable in statistical modeling using R.
He conducted both EFA and CFA in R using psych and lavaan. The process was transparent, and the interpretation made it easier for me to use the results in my academic paper.
Very professional and detail-oriented. The report included KMO and Bartlett tests, proper factor rotation, and clear explanations. Great service for anyone working with psychometric data.
Excellent work using R for exploratory factor analysis on my consumer behavior dataset. The insights were easy to understand, and the visualizations were very helpful in explaining the factor loadings.
He simplified a complex dataset and helped me uncover patterns I didn’t know existed. Highly recommend for anyone needing factor analysis in R.
I got exactly what I asked for—data cleaning, EFA, and a neat markdown report in R. Great service, delivered on time.
Very responsive and skilled with R. The factor structure was explained well and all assumptions were tested. Helped me feel confident about my results.
He handled both EFA and CFA in R smoothly, using psych and lavaan. Very professional and helped me understand every part of the process.
I needed to run factor analysis using R for my thesis and this service exceeded expectations—got clear scree plots, loadings, and interpretation in a clean report.
EFA Starter Report
Starts at $55
Simple exploratory factor analysis
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3
Days Delivery
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1
Revision
Complete EFA Package
Starts at $95
Full EFA + interpretation
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5
Days Delivery
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3
Revisions
CFA + Strategy Insights
Starts at $250
Confirmatory model + practical guide
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8
Days Delivery
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Unlimited
Revisions
