I can help you conduct factor analysis using R programming
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Project Details
Why Hire Me?
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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






