Document Detail

Evaluation of the 0.3 logits screening criterion in common item equating.
MedLine Citation:
PMID:  15064536     Owner:  NLM     Status:  MEDLINE    
A number of state assessment programs that employ Rasch-based common item equating procedures estimate the equating constant with only those common items for which the two tests' Rasch item difficulty parameter estimates differ by less than 0.3 logits. The results of this study presents evidence that this practice results in an inflated probability of incorrectly dropping an item from the common item set if the number of examinees is small (e.g., 500 or less) and the reverse if the number of examinees is large (e.g., 5000 or more). An asymptotic experiment-wise error rate criterion was algebraically derived. This same criterion can also be applied to the Mantel-Haenszel statistic. Bonferroni test statistics were found to provide excellent approximations to the (asymptotically) exact test statistics.
G Edward Miller; Ourania Rotou; Jon S Twing
Related Documents :
11793896 - Psychopathy and ethnicity: structural, item, and test generalizability of the psychopat...
21511076 - Studying psychosocial adaptation to end-stage renal disease: the proximal-distal model ...
12675416 - Scalings of mixed-mode regimes in a simple polynomial three-variable model of nonlinear...
1836786 - Measuring small gains using the icidh severity of disability scale: assessment practice...
21095806 - The sacroiliac spine - computer simulation of motion and modeling of the ligaments.
23647806 - Advances in sex determination in bats and its utility in wind-wildlife studies.
Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  Journal of applied measurement     Volume:  5     ISSN:  1529-7713     ISO Abbreviation:  J Appl Meas     Publication Date:  2004  
Date Detail:
Created Date:  2004-04-05     Completed Date:  2004-05-19     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  101084377     Medline TA:  J Appl Meas     Country:  United States    
Other Details:
Languages:  eng     Pagination:  172-7     Citation Subset:  IM    
Division of Student Assessment, Texas Education Agency, 1701 North Congress Avenue, Austin, TX 78701-1494, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Educational Measurement / statistics & numerical data*
Logistic Models
Mass Screening / methods*,  standards*
Psychometrics / methods*,  statistics & numerical data*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  A Rasch analysis of three of the Wisconsin Scales of Psychosis Proneness: measurement of schizotypy.
Next Document:  The effect of dropping low scores on ability estimates.