repeated-measure
UK[rɪˈpiːtɪd ˈmɛʒə]US[rɪˈpiːtɪd ˈmɛʒər]
adj
of or relating to a research design in which the same subjects are observed or tested under multiple conditions or at multiple time points.
n
a variable or factor in an experiment for which data are collected from the same participants more than once.
Morpheme Breakdown
repeat
ed
measure
repeat
do again
ed
adjective suffix
measure
assess
Etymology
the term is a modern compound formed within the specialized lexicon of statistics and experimental psychology. its first element, 'repeated', originates from the latin verb 'repetere', which combines 're-' (again) and 'petere' (to seek, aim at), literally meaning 'to seek again'. the '-ed' suffix, of germanic origin, transforms it into an adjective describing an action that has been performed multiple times. the second element, 'measure', descends from latin 'mensura' (a measuring), itself from 'metiri' (to measure). the compound 'repeated-measure' thus logically builds its meaning from its components: it describes an experimental design or variable characterized by the action of taking assessments ('measure') multiple times ('repeated') from the same source. this transparent construction efficiently conveys a core methodological concept in quantitative research.
Analysis
Structure: repeat (do again) + ed (adjective suffix) + measure (assess)
repeat: from latin 'repetere', meaning 'to go back to, seek again'. functional role: verb root conveying the core action of doing something again.
ed: from old english '-ed', '-od', '-ad', a suffix forming past participles and adjectives. functional role: adjective-forming suffix, turning the verb 'repeat' into the adjective 'repeated'.
measure: from latin 'mensura', via old french 'mesure', meaning 'a measuring, measurement'. functional role: noun root denoting the act or result of assessment.
Examples
the study used a repeated-measure anova to analyze changes in performance over three testing sessions.
reaction time was the key repeated-measure in the cognitive experiment.
researchers must account for potential practice effects in any repeated-measure design.