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A suggested reading order for new visitors.

This blog is about qualitative comparative analysis (QCA), the ThSQCA R package, and practical tools for marketing research and data analysis. If you are new, here is a suggested order.

The core articles, in reading order

The home page shows the same list with pictures.

1. Get to know QCA and the threshold idea

  1. Welcome
  2. Why QCA suits decision-making: looking for “recipes” instead of single effects
  3. Is “good enough” the same goal as “loved”? A marketer’s guide to threshold-sweep QCA
  4. Introducing ThSQCA: threshold-sweep QCA in R

2. Learn ThSQCA in R

  1. ThSQCA for beginners, part 1: your first threshold sweep
  2. Part 2: the four sweeps and how to choose a range
  3. Part 3: solution types and multiple solutions
  4. Part 4: reporting and checking your results

3. Reading lists

  1. Papers and books for getting to know QCA: six to read first (basics)
  2. QCA in marketing and management: ten papers to read first (applications)

4. Research methods, step by step

  1. From survey items to a scale, then on to regression and QCA: a step-by-step guide
  2. Before adding latent variables: what scale building and path analysis can do

5. Paper guides

  1. About Paper Guides: Introducing Papers on This Blog
  2. Paper Guide: Quantitative and Qualitative Research Are Two Cultures, Not Rivals (Mahoney & Goertz, 2006)
  3. Paper Guide: How Should We Evaluate the “Conditions for Success”? (Ragin, 2006)

6. ThS-QCA in practice

A three-part series with survey data on UNIQLO and MUJI. Begin with this article.

If you prefer to start from a tool

  • Analysis tools: browser-based tools for QCA, marketing research, and multivariate analysis
  • ThSQCA: the R package, with links to CRAN, GitHub, and the documentation

Japanese version

日本語の記事とツールは、日本語版にあります。