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For readers seeking an introduction to measurement that meets the standards of representational measurement, Maimon Research has released a new distance education program: Health Technology Assessment Rebuilt – Evidence and Value This 12-module program (approximately 85,000 words) is structured around three core objectives:(i) defining value claims that meet the requirements of representational measurement,(ii) deconstructing the assumptions embedded in current HTA frameworks, and(iii) establishing standards for value claims for both manifest and latent attributes that satisfy mandatory measurement axioms. The program is designed

MODULE 1: WHY STEVENS? THE CONTEXT OF 1946 Before 1946, measurement outside physics lacked a clear warrant. Campbell addressed additivityfor manifest quantities; psychophysics mapped sensations; operationalism equated meaning withprocedure. None guaranteed that numerals preserved empirical structure or justified arithmetic,particularly for latent traits. Stevens resolved this by linking scale types—nominal, ordinal,interval, ratio—to permissible arithmetic and statistics. He did not provide a method forconstructing invariant rulers for latent attributes. That gap was later filled by the axiomatic workin Foundations of Measurement and by Rasch

A NEW START IN MEASUREMENT  FOR HEALTH TECHNOLOGY ASSESSMENT For fifty years, HTA has confused numbers with measures. Scientific practice requires adherenceto representational measurement theory, from Stevens’ linkage of arithmetic to scale type to therepresentation and uniqueness theorems of Krantz, Luce, Suppes, and Tversky. Rasch providedthe operational bridge for latent traits, transforming ordered responses into an invariant logitruler. HTA instead fixated on QALYs and multiattribute valuations, guaranteeing persistentfailure. The remedy is non-negotiable: only linear ratio scales for manifest claims and Raschlogit ratio