Look‐ahead content balancing method in variable‐length computerized classification testing

2019 ◽  
Vol 73 (1) ◽  
pp. 88-108
Author(s):  
Xiao Li ◽  
Jinming Zhang ◽  
Hua‐hua Chang
2018 ◽  
Vol 42 (7) ◽  
pp. 538-552
Author(s):  
Qi Diao ◽  
Hao Ren

Imposing content constraints is very important in most operational computerized adaptive testing (CAT) programs in educational measurement. Shadow test approach to CAT (Shadow CAT) offers an elegant solution to imposing statistical and nonstatistical constraints by projecting future consequences of item selection. The original form of Shadow CAT presumes fixed test lengths. The goal of the current study was to extend Shadow CAT to tests under variable-length termination conditions and evaluate its performance relative to other content balancing approaches. The study demonstrated the feasibility of constructing Shadow CAT with variable test lengths and in operational CAT programs. The results indicated the superiority of the approach compared with other content balancing methods.


2016 ◽  
Vol 15 (1) ◽  
pp. 1-3
Author(s):  
Bernd Marcus
Keyword(s):  

1943 ◽  
Vol 12 (23) ◽  
pp. 230-231
Author(s):  
Guenther Stein
Keyword(s):  

2016 ◽  
Vol 136 (10) ◽  
pp. 692-697
Author(s):  
Shuto Higa ◽  
Chikatoshi Yamada ◽  
Kei Miyagi ◽  
Shuichi Ichikawa

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 170-OR
Author(s):  
JINGYI QIAN ◽  
MICHAEL P. WALKUP ◽  
SHYH-HUEI CHEN ◽  
PETER H. BRUBAKER ◽  
DALE BOND ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2007-P
Author(s):  
RENA R. WING ◽  
JEANNE CLARK ◽  
MARK ESPELAND ◽  
JAMES O. HILL ◽  
ROBERT W. JEFFERY ◽  
...  

Author(s):  
Beny Septian Panjaitan And Rahmad Husein

This study aimed at analyzing the cognitive dimension based on Revised BloomTaxonomy in reading questions in Look Ahead an English Course for Senior HighSchool Level 1, 2, & 3. This study used quantitative research design. The sampleswere 141 reading questions which taken by using random sampling technique byusing Statistical Program for Social Science (SPSS) version 20.0. in Look Aheadan English Course for Senior High School Level 1, 2, & 3. The data were analyzedby using Table analysis of cognitive dimension of Revised Bloom Taxonomy. Theanalysis showed that the most dominant cognitive dimension of Revised BloomTaxonomy in remembering dimension (57.45%). The second dominant cognitivedimension is understanding dimension (26.24%). The third dominant cognitivedimension is evaluating dimension (10.64%). The fourth dominant cognitivedimension is creating dimension (3.55%). The fifth dominant cognitive dimension isanalyzing dimension (2.13%). There was no cognitive dimension of applyingdimension that applied in reading question of the textbooks.


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