手法を比較

	Rapid Assessment Instrument	Self-Anchored Rating Scale
分野	Social Work	Social Work
系統	Process / pipeline	Process / pipeline
提唱年	2002	2009
提唱者	Walter W. Hudson and the clinical-measurement tradition; codified by Springer, Abell & Hudson	Codified in social-work practice evaluation by Bloom, Fischer & Orme
種類	Brief, standardized, self-report measure for repeated use in practice	Individualized self-report rating scale with client-defined anchors
原典	Springer, D. W., Abell, N., & Hudson, W. W. (2002). Creating and validating rapid assessment instruments for practice and research: Part 1. Research on Social Work Practice, 12(3), 408–439.	Bloom, M., Fischer, J., & Orme, J. G. (2009). Evaluating Practice: Guidelines for the Accountable Professional (6th ed.). Pearson/Allyn & Bacon. ISBN: 9780205458066
別名	RAI, Rapid Assessment Instruments, Brief Standardized Self-Report Scale, Clinical Measurement Package Scales	SARS, Self-Anchored Scale, Individualized Rating Scale, Client-Anchored Scale
関連	4	4
概要	A rapid assessment instrument (RAI) is a short, standardized, self-report measure designed to be completed quickly and repeatedly so that a social worker can assess the magnitude of a client's problem, compare it against a validated clinical cutoff, and monitor change over the course of an intervention. The format was championed by Walter Hudson, whose Clinical Measurement Package scales set the template, and was systematized for practitioners by Springer, Abell, and Hudson, who laid out how to create and validate such instruments for practice and research.	A self-anchored rating scale (SARS) is an individualized measurement tool in which a client rates a personally relevant target — a feeling, thought, or behavior that may not be captured by any standardized instrument — on a fixed numeric scale whose points the client and worker have anchored in advance with concrete, individually meaningful descriptions. Widely taught in social-work practice evaluation through Bloom, Fischer, and Orme's work, it lets a worker measure highly idiosyncratic internal states repeatedly and reliably, supplying the data for single-system designs when no off-the-shelf scale fits.