On the public citation graph

Detecting Answer Copying Using the Kappa Statistic

0 signed · 53 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/j.2333-8504.1996.tb01685.xopenalex-snapshot
ASSESSING UNUSUAL AGREEMENT BETWEEN THE INCORRECT ANSWERS OF TWO EXAMINEES USING THE K‐INDEX: STATISTICAL THEORY AND EMPIRICAL SUPPORT
inferredcites →https://doi.org/10.1002/j.2333-8504.1998.tb01798.xopenalex-snapshot
THE POWER OF THE K‐INDEX (OR PMIR) TO DETECT COPYING
inferredcites →https://doi.org/10.1007/978-1-4614-1412-4_97openalex-snapshot
Elements of Large-Sample Theory
inferredcites →https://doi.org/10.1007/978-1-4757-2691-6openalex-snapshot
Handbook of Modern Item Response Theory
inferredcites →https://doi.org/10.1007/978-1-4757-2691-6_2openalex-snapshot
The Nominal Categories Model
inferredcites →https://doi.org/10.1007/978-1-4757-2691-6_3openalex-snapshot
A Response Model for Multiple-Choice Items
inferredcites →https://doi.org/10.1007/b98855openalex-snapshot
Elements of Large-Sample Theory
inferredcites →https://doi.org/10.1007/bf02291411openalex-snapshot
Estimating Item Parameters and Latent Ability when Responses are Scored in Two or More Nominal Categories
inferredcites →https://doi.org/10.1007/bf02293801openalex-snapshot
Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm
inferredcites →https://doi.org/10.1007/bf02294042openalex-snapshot
Polytomous IRT Models and Monotone Likelihood Ratio of the Total Score
inferredcites →https://doi.org/10.1007/bf02294555openalex-snapshot
Stochastic Ordering Using the Latent Trait and the Sum Score in Polytomous IRT Models
inferredcites →https://doi.org/10.1007/bf02302588openalex-snapshot
A Response Model for Multiple Choice Items
inferredcites →https://doi.org/10.1017/cbo9780511813597.005openalex-snapshot
Statistical inference
inferredcites →https://doi.org/10.1037/h0028106openalex-snapshot
Large sample standard errors of kappa and weighted kappa.
inferredcites →https://doi.org/10.1080/00401706.1991.10484817openalex-snapshot
Categorical Data Analysis
inferredcites →https://doi.org/10.1111/j.1745-3984.2002.tb01138.xopenalex-snapshot
Statistical Properties of the K‐Index for Detecting Answer Copying
inferredcites →https://doi.org/10.1111/j.1745-3984.2003.tb01096.xopenalex-snapshot
Two New Statistics to Detect Answer Copying
inferredcites →https://doi.org/10.1111/j.1745-3984.2004.tb01171.xopenalex-snapshot
A Statistical Test for Detecting Answer Copying on Multiple‐Choice Tests
inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
A Coefficient of Agreement for Nominal Scales
inferredcites →https://doi.org/10.1177/01466216970214002openalex-snapshot
A Nominal Response Model Approach for Detecting Answer Copying
inferredcites →https://doi.org/10.1177/01466216980222004openalex-snapshot
Detection of Answer Copying with Unknown Item and Trait Parameters
inferredcites →https://doi.org/10.1201/9781003456285openalex-snapshot
Statistical Inference
inferredcites →https://doi.org/10.1201/b19547-8openalex-snapshot
Categorical Data Analysis
inferredcites →https://doi.org/10.2307/2532524openalex-snapshot
Categorical Data Analysis.
inferredcites →https://doi.org/10.3102/10769986002004235openalex-snapshot
Indices of Cheating on Multiple-Choice Tests
inferredcites →https://doi.org/10.3102/10769986031003283openalex-snapshot
Detecting Answer Copying When the Regular Response Process Follows a Known Response Model
inferredcites →https://doi.org/10.4324/9781410601520openalex-snapshot
Cheating on Tests

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.1625509openalex-extracted
Detecting Answer Copying in Standardized Tests (In Spanish)
inferred← citeshttps://doi.org/10.2139/ssrn.2414058openalex-extracted
A Derivation of the Optimal Answer-Copying Index and Some Applications
inferred← citeshttps://doi.org/10.2139/ssrn.2489178openalex-extracted
A Derivation of the Optimal Answer-Copying Index and Some Applications
inferred← citeshttps://doi.org/10.1002/9781118311141.ch7openalex-snapshot
Deception and Applicant Faking: Putting the Pieces Together
inferred← citeshttps://doi.org/10.1002/9781118411360.wbcla130openalex-snapshot
Detecting Plagiarism and Cheating
inferred← citeshttps://doi.org/10.1002/9781119992592.ch7openalex-snapshot
Deception and Applicant Faking: Putting the Pieces Together
inferred← citeshttps://doi.org/10.1007/978-3-030-12272-0_8openalex-snapshot
Systematic Measurement Error
inferred← citeshttps://doi.org/10.1016/j.patter.2026.101642openalex-snapshot
Q-SID: Detecting collusion groups from exam question scores with error quantification
inferred← citeshttps://doi.org/10.1111/emip.12538openalex-snapshot
Cheating Detection of Test Collusion: A Study on Machine Learning Techniques and Feature Representation
inferred← citeshttps://doi.org/10.1111/jedm.12008openalex-snapshot
Detection of Test Collusion via Kullback–Leibler Divergence
inferred← citeshttps://doi.org/10.11591/ijere.v1i1.11488openalex-snapshot
Effects of Test Level Discrimination and Difficulty on Answer-Copying Indices
inferred← citeshttps://doi.org/10.1177/0013164419882980openalex-snapshot
On a New Algorithm for Removing Repeating Patterns in Similarity Analysis
inferred← citeshttps://doi.org/10.1177/0146621610370453openalex-snapshot
Automatic Detection of Answer Copying via Kullback-Leibler Divergence and K-Index
inferred← citeshttps://doi.org/10.1177/0146621611420705openalex-snapshot
Detection of Answer Copying Based on the Structure of a High-Stakes Test
inferred← citeshttps://doi.org/10.1177/2158244011421803openalex-snapshot
Modeling Student Motivation and Students’ Ability Estimates From a Large-Scale Assessment of Mathematics
inferred← citeshttps://doi.org/10.15388/infedu.2012.09openalex-snapshot
Detection and Evaluation of Cheating on College Exams using Supervised Classification
inferred← citeshttps://doi.org/10.21831/pep.v13i2.1412openalex-snapshot
HUBUNGAN MODEL PENSKORANTERHADAP ESTIMASI SKOR SESUNGGUHNYA BERDASARKAN TEORI RESPONS BUTIR
inferred← citeshttps://doi.org/10.24908/pceea.v0i0.4809openalex-snapshot
An Exploratory Case Study of the Use of Video Digitizing Technology to Detect Answer-Copying on a Paper-and-Pencil Multiple-Choice Test
inferred← citeshttps://doi.org/10.3102/10769986031003283openalex-snapshot
Detecting Answer Copying When the Regular Response Process Follows a Known Response Model
inferred← citeshttps://doi.org/10.3102/1076998609332107openalex-snapshot
A Bivariate Lognormal Response-Time Model for the Detection of Collusion Between Test Takers
inferred← citeshttps://doi.org/10.3102/1076998610396899openalex-snapshot
Modeling Answer Changes on Test Items
inferred← citeshttps://doi.org/10.3102/1076998615595628openalex-snapshot
On the Optimality of Answer-Copying Indices
inferred← citeshttps://doi.org/10.4135/9781412963954.n282openalex-snapshot
University of California, San Diego
inferred← citeshttps://doi.org/10.4135/9781483347660.n459openalex-snapshot
University of California, San Diego
inferred← citeshttps://doi.org/10.4135/9781483349985.n418openalex-snapshot
University of California, San Diego
inferred← citeshttps://doi.org/10.5753/rbie.2011.19.02.56openalex-snapshot
Detecção e Avaliação de Cola em Provas Escolares Utilizando Mineração de Texto: um Estudo de Caso
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.