Standard errors of measurement, confidence intervals, and the distribution of error for the observed score curve

Persistent Link:
http://hdl.handle.net/10150/277223
Title:
Standard errors of measurement, confidence intervals, and the distribution of error for the observed score curve
Author:
Tataryn, Douglas Joseph, 1960-
Issue Date:
1989
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This paper reviews the basic literature on the suggested applications of the standard error of measurement (SEM), and points out that there are discrepancies in its suggested application. In the process of determining the efficacy and appropriateness of each of the proposals, a formula to determine the distribution of error for the observed score curve is derived. The final recommendation, which is congruent with Cronbach, Gleser, Nanda & Rajaratnam's (1972) recommendations, is to not use the SEM to create confidence intervals around the observed score: The predicted true score and the standard error of the prediction are better suited (non-biased and more efficient) for the task of estimating a confidence interval which will contain an individual's true score. Finally, the distribution of future observed scores around the expected true score is derived.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Psychological tests.
Degree Name:
M.A.
Degree Level:
masters
Degree Program:
Graduate College; Psychology
Degree Grantor:
University of Arizona
Advisor:
Sechrest, Lee

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleStandard errors of measurement, confidence intervals, and the distribution of error for the observed score curveen_US
dc.creatorTataryn, Douglas Joseph, 1960-en_US
dc.contributor.authorTataryn, Douglas Joseph, 1960-en_US
dc.date.issued1989en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis paper reviews the basic literature on the suggested applications of the standard error of measurement (SEM), and points out that there are discrepancies in its suggested application. In the process of determining the efficacy and appropriateness of each of the proposals, a formula to determine the distribution of error for the observed score curve is derived. The final recommendation, which is congruent with Cronbach, Gleser, Nanda & Rajaratnam's (1972) recommendations, is to not use the SEM to create confidence intervals around the observed score: The predicted true score and the standard error of the prediction are better suited (non-biased and more efficient) for the task of estimating a confidence interval which will contain an individual's true score. Finally, the distribution of future observed scores around the expected true score is derived.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectPsychological tests.en_US
thesis.degree.nameM.A.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplinePsychologyen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorSechrest, Leeen_US
dc.identifier.proquest1339233en_US
dc.identifier.oclc24335441en_US
dc.identifier.bibrecord.b17853503en_US
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