Everything about Score test
Statistical test based on the gradient of the likelihood function
In statistics, the score test assesses constraints on statistical parameters based on the gradient of the likelihood function—known as the score—evaluated at the hypothesized parameter value under the null hypothesis. Intuitively, if the restricted estimator is near the maximum of the likelihood function, the score should not differ from zero by more than sampling error. While the finite sample distributions of score tests are generally unknown, they have an asymptotic χ2-distribution under the null hypothesis as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical significance. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Score testA 5-minute orientation
- Skim a recent paper: Using the ELF test, FIB-4 and NAFLD fibrosis score to screen the population for liver diseaseInfluential work since 2022
- Pick up a classic book: Manon LescautThe most-reprinted book on the subject
- Read the landmark paper: Beyond a Test ScoreCited 337 times
- Go sideways: Wald testA closely related topic
- Go sideways: M-estimatorA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Beyond a Test Score
Descriptive Statistics for Modern Test Score Distributions
Global Sex Differences in Test Score Variability
Rao's score test in spatial econometrics
Score test of homogeneity for survival data
A Score Test against One-Sided Alternatives
Kindergarten Black–White Test Score Gaps
PRINCIPLES AND PRACTICES OF TEST SCORE EQUATING
🆕 Influential since 2022
Using the ELF test, FIB-4 and NAFLD fibrosis score to screen the population for liver disease
Test Score Patterns Across Three COVID-19-Impacted School Years
A rank subdivision of equivalent score for enhancing neuropsychological test norms
Making Sense of Test Score Validity in Counseling Assessment
Does Cumulative Exposure to High-Poverty Schools Widen Test-Score Inequality?
📚 Books worth reading
Manon LescautAbbé Prévost · 1734
School profilesBoston Public Schools.
Making the gradesTodd Farley · 2009
Test scoringDavid Thissen, Howard Wainer · 2001
Test equating, scaling, and linkingMichael J. Kolen · 2004
Standard settingGregory J Cizek, Gregory J. Cizek · 2006
Classroom testingCharles D. Hopkins, Richard L. Antes · 1979
Automated Scoring of Complex Tasks in Computer-Based TestingDavid M. Williamson, Robert J. Mislevy · 2006
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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