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The Response Vector for Mastery Method of Standard Setting.

Dimiter M Dimitrov1,2

  • 1George Mason University, Fairfax, VA, USA.

Educational and Psychological Measurement
|June 27, 2022
PubMed
Summary
This summary is machine-generated.

A new standard-setting method, response vector for mastery (RVM), is proposed. This method avoids borderline examinee conceptualization and uses response vectors for cut-score computation, differing from traditional Angoff and bookmark methods.

Keywords:
assessmentcut-scorestandard setting

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Area of Science:

  • Educational measurement
  • Psychometrics
  • Standard-setting methodology

Background:

  • Traditional standard-setting methods like Angoff and bookmark rely on borderline examinee conceptualization and probability judgments.
  • These methods can be subjective and may not fully capture examinee mastery.
  • A need exists for more objective and robust standard-setting approaches.

Purpose of the Study:

  • To introduce and describe a novel standard-setting method called the response vector for mastery (RVM) method.
  • To differentiate the RVM method from existing techniques like the Angoff and bookmark methods.
  • To illustrate the application and discuss the methodological aspects of the RVM method.

Main Methods:

  • The response vector for mastery (RVM) method is proposed as a new standard-setting approach.
  • Panelists do not conceptualize borderline examinees or make probability judgments.
  • Cut-scores are computed using response vectors (1/0 scores) and item parameters calibrated via item response theory or the D-scoring method.

Main Results:

  • The RVM method offers an alternative to traditional standard-setting procedures.
  • It utilizes response vectors and calibrated item parameters for cut-score determination.
  • Illustrations with hypothetical and real data are provided to demonstrate the method's application.

Conclusions:

  • The response vector for mastery (RVM) method presents a new paradigm in educational standard setting.
  • It offers a potentially more objective approach by focusing on response vectors rather than subjective judgments.
  • Further research and application of the RVM method are warranted to validate its effectiveness.