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ERIC Number: ED193241
Record Type: RIE
Publication Date: 1979-Apr
Pages: 263
Abstractor: N/A
Reference Count: 0
Principles of Work Sample Testing. Volume I: A Non-Empirical Taxonomy of Test Uses; Volume II: Evaluation of Personnel Testing Programs; Volume III: Construction and Evaluation of Work Sample Tests; Volume IV: Generalizability.
Guion, Robert M.; Ironson, Gail H.
Challenges to classical psychometric theory are examined in the context of a broader range of fundamental, derived, and intuitive measurements in psychology; the challenges include content-referenced testing, latent trait theory, and generalizability theory. A taxonomy of psychological measurement is developed, based on: (1) purposes of measurement including evaluation, organizational trouble shooting, individual diagnosis, certification, prediction, and evaluation of other measurement; (2) settings in which measurements are obtained including the laboratory, institutional control, and field settings; (3) variables or attributes to be measured, including attributes of people (physiological processes, motor skills, performance variables, job knowledge, cognitive variables, aspects of personality, and attitudes), and attributes of tasks (duration or intensity of attention, hazards, degree of task structure, organizational involvement, task complexity, intrinsic feedback, skill demands, significance, and autonomy); and (4) the methods of measurement in psychology including instrumentation, direct observation and recording, records and biographical data, testing, and ratings. The challenges and the classifications are examined for special implications for work sample testing. The point is stressed that the evaluation of work sample measurement depends primarily on its acceptability as a direct description of the performance of interest. (RL)
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Army Research Inst. for the Behavioral and Social Sciences, Alexandria, VA.
Authoring Institution: Bowling Green State Univ., OH.
Identifiers: Content Referenced Tests; Generalizability Theory