Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Statkey.no is an online resource for learning statistics and choosing models, centered on “univariate statistics.” The site emphasizes that univariate statistics applies when there is only one response/dependent variable, and it distinguishes between the concepts of multivariate statistics and multiple models. It is not a complete statistics course, but rather a commonly used model-selection “key” that guides users through flowcharts to identify an appropriate family of models, then links to pages with examples and R syntax.
In terms of subject area, it focuses on statistical modeling and practical R usage, covering guidance for linear models, generalized linear models, tests related to frequency tables, simple tests, and survival analysis. The text also notes that simple tests such as the t-test, Wilcoxon test, and chi-square test are not easy to fit into a model-based framework, but can still be found under the relevant model categories. The format is mainly web-based written tutorials and examples; it is not a live course, recorded course, or 1-on-1 tutoring service. As for certification, the text does not show any certificate or completion credential. The teaching language is English. The only instructor/author information clearly shown is that the page is credited to Knut Helge Jensen, with copyright starting in 2006 and the last update dated February 20, 2021; no more detailed institutional endorsement is provided.
The captured content does not mention pricing, subscriptions, or paid access, so its business model cannot be confirmed. A key usability advantage is that the R syntax can import data directly from the web pages, allowing learners to follow the examples without preparing their own datasets first. If users are not familiar with R, the site also provides a Mini-Intro entry point. That said, it feels more like a reference tool for research design and model selection than a step-by-step learning product.
Its strengths are its clear positioning and usefulness for planning research methods before data collection. The flowchart-style navigation also helps reduce guesswork when choosing a model. Its limitations are that the content explicitly states it is “not complete” and only covers commonly used models; it also lacks a course syllabus, exercise feedback, instructor Q&A, a learning community, and certificate information. For complete beginners, the statistical terminology and English explanations may present a learning barrier.
It is suitable for students, researchers, and data-analysis learners working on experimental design, thesis analysis, or introductory R-based statistics practice, especially those who already have some basic statistical concepts. The text does not provide information on access from China, so this would need to be tested directly; payment information is also not shown. If access or language is inconvenient, alternatives include the official R documentation, CRAN resources, university open statistics courses, Coursera/edX statistics courses, or Chinese-language MOOCs on statistical modeling.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on statkey.no official site.
statkey.no is an Norway Education provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach statkey.no directly.