A Measure of Scale Clarity [electronic resource] / Ayres G. D'Costa and Others.

The Feasibility of developing an index to represent the degree of consistency with which a student responds to a set of items in a homogeneous scale is investigated. The dispersion of responses to a set of items by a group of subjects has typically been measured by the standard deviation. Here, the...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: D'Costa, Ayres G.
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1971.
Subjects:

MARC

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100 1 |a D'Costa, Ayres G. 
245 1 2 |a A Measure of Scale Clarity  |h [electronic resource] /  |c Ayres G. D'Costa and Others. 
260 |a [S.l.] :  |b Distributed by ERIC Clearinghouse,  |c 1971. 
300 |a 7 p. 
500 |a ERIC Document Number: ED052233. 
500 |a ERIC Note: Paper presented at the Annual Meeting of the National Council for Measurement in Education, New York, New York, February 1971.  |5 ericd. 
520 |a The Feasibility of developing an index to represent the degree of consistency with which a student responds to a set of items in a homogeneous scale is investigated. The dispersion of responses to a set of items by a group of subjects has typically been measured by the standard deviation. Here, the interest is in the dispersion of responses from the same subject to a set of items. The Ohio Vocational Interest Survey was used to gather students' responses to 11 items (job-activity statements) in terms of a 5-option scale. The investigation consisted of 3 phases: (1) a scale clarity index (SCI) was devised; (2) all possible response patterns were defined and the clarity of each was rated in terms of degree of consistency; and (3) the extent to which the deviation raw score, the standard deviation, mean deviation, and a centrality index would predict the scale clarity rating developed in the second phase was investigated. A critical aspect of this study is the judges' ratings of the clarity inherent in each pattern. The SCI provides additional information as to the nature of a subject's responses, is useful in the interpretation of raw scores, especially those based on individual item responses, and has great promise in testing and measurement practice. (TA) 
650 0 7 |a High School Students.  |2 ericd. 
650 1 7 |a Individual Differences.  |2 ericd. 
650 1 7 |a Measurement.  |2 ericd. 
650 1 7 |a Occupational Surveys.  |2 ericd. 
650 0 7 |a Predictor Variables.  |2 ericd. 
650 1 7 |a Rating Scales.  |2 ericd. 
650 0 7 |a Research.  |2 ericd. 
650 1 7 |a Responses.  |2 ericd. 
650 0 7 |a Statistics.  |2 ericd. 
650 0 7 |a Vocational Interests.  |2 ericd. 
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