Q Bibliography: Pfeiffer, Held, and Lee on industrial implementation

Pfeiffer, Sabine, Maximilian Held, & Horan Lee (2018, May). Digitalisierung „machen“ – Ansichten im Engineering zur partizipativen Gestaltung von Industrie 4.0 [“Doing” digitalisation – Views of industrial engineers on participation in “Industry 4.0”]. In Josephine Hofmann (Ed.), Arbeit 4.0 – Digitalisierung, IT und Arbeit: IT als Treiber der digitalen Transformation [Work 4.0 – Digitization, IT and… Read More

Qmethod(.org) Should Be a Big Tent – Our Editorial Policy

Qmethod(.org), as any platform for an academic association has a fine line to walk: on the one hand, it must be open and inclusive, but on the other hand, especially new users may expect high quality, uncontroversial resources from I4S as a sort of canonical source for things Q. Qmethod.org is designed to fulfil both these goals.

Migration From Legacy Qmethod.org

For future reference, here are some notes on what I migrated from the old qmethod.org. All content that was still hyperlinked from the websites of qmethod.org was migrated, including all (available) old conference programs, news items and resources. The Qrefs is currently being transferred to a new, permanent home and will in the meantime be… Read More

Why We Built This Website (the Way we Did)

When we set out to rebuild qmethod.org from scratch, we knew it had to be more than just a website: qmethod.org should serve as a repository of resources on all things Q (now all migrated from the old website). qmethod.org should serve as a social network for the Q community, offering facilities for debate and interaction. qmethod.org should serve… Read More

Loadings-based Factor-Retention Criteria and Some (New) Alternatives

It seems to me that while q-specific, Humphrey’s rule and the >2 sig. factor rule are problematic to decide on the number of retained factors, because they depend on loadings, which are available only later in the procedure and dependent on the rotation method. Instead, I suggest an additional q-specific approach, based on changes in communalities and residual correlation matrices between factor models in question. Read More