Compara mètodes

	Diferència mínima important basada en àncora	Efecte terra i sostre
Camp	Psicometria	Psicometria
Família	Process / pipeline	Process / pipeline
Any d'origen	1989	2000
Autor original	Guyatt, Jaeschke, and Singer	Classical psychometrics
Tipus	Minimal clinically important difference estimation	Measurement validity assessment
Font seminal	Jaeschke, R., Singer, J., & Guyatt, G. H. (1989). Measurement of health status: Ascertaining the minimal clinically important difference. Controlled Clinical Trials, 10(4), 407-415.	McHorney, C. A. (2000). Ten recommendations for measuring health status. Health-Related Quality of Life Outcomes, 2(1), 1-5.
Àlies	MCID, Minimal clinically important difference, Anchor-based MCID, Minimal important change	Floor effect, Ceiling effect, Psychometric floor effect, Measurement floor
Relacionats	4	4
Resum	The anchor-based method for establishing Minimal Clinically Important Difference (MCID) is a technique for determining the smallest change in a patient-reported outcome (PRO) that patients or clinicians perceive as meaningful or important. Pioneered by Guyatt, Jaeschke, and Singer in 1989, this approach anchors changes in outcome scores to external clinically meaningful events or judgments, enabling researchers and clinicians to interpret whether treatment effects represent real, patient-relevant improvements.	Floor and ceiling effects are psychometric phenomena in which a disproportionately large proportion of respondents achieve the lowest (floor) or highest (ceiling) possible score on a measurement scale. These effects compromise scale reliability and responsiveness, limiting the instrument's ability to distinguish among respondents and detect meaningful change over time. Systematic assessment of floor and ceiling effects is essential for evaluating the psychometric adequacy of health-related quality-of-life scales, functional status measures, and other patient-reported outcomes.