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Statistical Tests & Choice Measurement

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Abstractions that provide statistical or measurement methods for comparing groups and choices, including nonparametric hypothesis tests (Mann-Whitney U test, location test), latent-structure and ranking measurement methods (confirmatory factor analysis, PAPRIKA), and psychological phenomena around choice and recall (overchoice, free recall).

7 abstractions in this family — domain-specific abstractions that sit near one another in structural-signature space (k-means over structural-signature embeddings). Each is shown with its short description.

  • Confirmatory factor analysis — In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social science research.
  • Free recall — Free recall is a common task in the psychological study of memory.
  • Location test — A location test is a statistical hypothesis test that compares the location parameter of a statistical population to a given constant, or that compares the location parameters of two statistical populations to each other.
  • Mann–Whitney U test — The Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric statistical test of the null hypothesis that randomly selected values X and Y from two populations have the same distribution.
  • Overchoice — Overchoice or choice overload is the paradoxical phenomenon in which choosing between a large variety of options can be detrimental to decision making processes.
  • Potentially all pairwise rankings of all possible alternatives — Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) is a method for multi-criteria decision making (MCDM) or conjoint analysis, as implemented by decision-making software and conjoint analysis products 1000minds and MeenyMo.
  • Trigram tagger — In computational linguistics, a trigram tagger is a statistical method for automatically identifying words as being nouns, verbs, adjectives, adverbs, etc. based on second order Markov models that consider triples of consecutive words.