Likert Survey Analysis Starter Kit: Excel + R Template for Academic Reports
Likert Survey Analysis Starter Kit is a ready-to-use Excel and R template package for analysing academic and institutional survey data.This product is designed for users who collect questionnaire data and need a structured way to prepare descriptive statistics, Likert-scale summaries, reliability checks, group comparisons, plots, and report-ready tables. It is especially useful for thesis studies, academic projects, student surveys, programme evaluation, quality reports, and accreditation-related survey analysis.The kit includes an Excel data-entry template, a sample survey dataset, R scripts for automatic analysis, and a Quarto report template. The workflow is simple: enter or paste your survey data into the template, run the R analysis script, and obtain organized summary tables and outputs that can be used in an academic or institutional report.The package focuses on common survey analysis tasks, including frequency tables, mean and standard deviation summaries, Likert item summaries, Cronbach’s alpha, group comparisons, correlation analysis, and basic regression-style outputs. It also includes short methodological notes to help users understand what the analysis is doing.This is not a black-box statistical tool. It is a transparent and editable analysis template. Users can inspect the Excel file, modify the R code, adjust the variable names, and adapt the report structure according to their own study.What is included: Excel survey template Sample survey dataset R analysis scripts Quarto report template Example output tables Quick-start guide Method notes Basic support and refund policy text Best for: Master’s and Ph.D. students Academic researchers Survey-based project teams University departments Quality and accreditation committees Users who need a structured survey analysis workflow This product is intended to support statistical reporting and learning. It does not replace expert statistical consultation for complex research designs, clinical studies, or high-stakes decision-making.
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