Classical Item Statistics
Classical Item Statistics is a type of psychometric analysis within Classical Test Theory that quantifies the characteristics of individual test items, such as item difficulty, item discrimination, and item-total correlation, to evaluate their effectiveness in differentiating between examinees' abilities.
32
Publications
1.4K
Citations
63
Authors
38
Institutions
Publications per year
2017–2026
3
Parents
32
1–5 of 32
63
2
h-index
1
h-index
1
h-index
1
h-index
University of Massachusetts Amherst, United States
1 publications · 82 citations
1
h-index
1–5 of 63
38
Bowling Green State University
Bowling Green, United States
2 h-index
3 publications
123 citations

Southern Illinois University Carbondale
Carbondale, United States
2 h-index
2 publications
56 citations

Pennsylvania State University
State College, United States
2 h-index
4 publications
126 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
6 publications
467 citations

Stockholm University
Stockholm, Sweden
1 h-index
1 publications
53 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
54 citations
Florida State University
Tallahassee, United States
1 h-index
1 publications
12 citations

Oakland University
Rochester, United States
1 h-index
1 publications
26 citations
1–8 of 38
3 publications · 159 citations
3
h-index
3 publications · 451 citations
3
h-index
2 publications · 45 citations
2
h-index
1 publications · 10 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5