Information Function Analysis

Information Function Analysis is a psychometric method that specifies how precisely an item or test measures latent traits across different levels of the trait continuum by quantifying the amount of statistical information as a function of the trait level.

66

Publications

2.7K

Citations

133

Authors

81

Institutions

Publications per year

2017–2026

15

Variants

Item Information Function Analysis

Authors

133

  1. WA
    W. Alan Nicewander

    University of Oklahoma, United States

    2 publications · 53 citations

    2

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  2. FS
    Fumiko Samejima

    University of Tennessee at Knoxville, United States

    2 publications · 90 citations

    2

    h-index

  3. MU
    Muhammad Usman Ghani

    Khwaja Fareed University of Engineering and Information Technology, Pakistan

    2 publications · 79 citations

    2

    h-index

  4. JJ
    Jos J. Adema

    University of Twente, Netherlands

    2 publications · 59 citations

    2

    h-index

  5. AR
    Abdul Rauf Khan

    Ghazi University, Pakistan

    2 publications · 79 citations

    2

    h-index

1–5 of 133

Venues

  1. Applied Psychological Measurement

    4 publications · 181 citations

    4

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  2. Psychometrika

    2 publications · 31 citations

    2

    h-index

  3. IEEE Transactions on Information Theory

    2 publications · 57 citations

    2

    h-index

  4. Psychological Methods

    2 publications · 54 citations

    2

    h-index

  5. 2

    h-index

1–5