Methoden vergelijken

	Van der Waerden Normal Scores Test	Jonckheere-Terpstra Test voor Geordende Alternatieven
Vakgebied	Statistiek	Statistiek
Familie	Hypothesis test	Hypothesis test
Jaar van ontstaan	1952	1952
Grondlegger	Bartel Leendert van der Waerden	A. R. Jonckheere and T. J. Terpstra
Type	Nonparametric k-sample comparison via normal scores	Nonparametric trend test
Oorspronkelijke bron	van der Waerden, B.L. (1952). Order Tests for the Two-Sample Problem and Their Power. Indagationes Mathematicae, 14, 453–458.	Jonckheere, A. R. (1954). A distribution-free k-sample test against ordered alternatives. Biometrika, 41(1-2), 133–145.
Aliassen	normal scores test, Van der Waerden k-sample test, Van der Waerden Testi — Normal Skor	Jonckheere-Terpstra Testi, JT test, ordered k-sample test, trend test for ordered groups
Verwant	6	5
Samenvatting	The Van der Waerden test is a nonparametric k-sample hypothesis test that converts observations into normal scores — the quantiles of a standard normal distribution — before comparing groups. Introduced by Bartel Leendert van der Waerden in 1952, it can achieve higher statistical power than the Kruskal-Wallis test when the underlying distributions are symmetric, making it a compelling bridge between rank-based and parametric methods.	The Jonckheere-Terpstra test is a nonparametric hypothesis test that detects a monotone trend across k ordered groups — testing whether the outcome rises (or falls) systematically as the group order increases. Developed independently by T. J. Terpstra (1952) and A. R. Jonckheere (1954), it is the directional, ordered-alternative counterpart to the Kruskal-Wallis test.