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The Item Count Method for Sensitive Survey Questions: Modelling Criminal Behaviour

https://doi.org/10.2139/ssrn.2119238
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1 of 23 checkable references need attention · checked 2026-10-12

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

9 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.2307/2289219
The 22 checked references that resolve
resolves10.1093/pan/mpr048
Statistical Analysis of List Experiments
resolves10.1016/j.jspi.2006.01.004
Item Count Technique in estimating the proportion of people with a sensitive feature
resolves10.1002/sim.4780080908
A review of methods for misclassified categorical data in epidemiology
resolves10.1093/pan/mpn013
Sensitive Questions, Truthful Answers? Modeling the List Experiment with LISTIT
resolves10.1177/0049124110390768
Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT)
resolves10.1111/j.2517-6161.1977.tb01600.x
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
resolves10.1093/poq/nfp065
Social desirability bias in voter turnout reports: Tests using the item count technique
resolves10.1198/jasa.2011.ap10415
Multivariate Regression Analysis for the Item Count Technique
resolves10.2139/ssrn.1994490
Why Do People Comply with the Law? Legitimacy and the Influence of Legal Institutions
resolves10.1002/0471715816
Univariate Discrete Distributions
resolves10.1111/j.1745-9125.2010.00187.x
THE INTERPLAY OF MORAL NORMS AND INSTRUMENTAL INCENTIVES IN CRIME CAUSATION*
resolves10.1007/s11135-004-0432-3
How to Improve the Efficiency of Randomised Response Designs
resolves10.1017/cbo9780511810176
Limited-dependent and qualitative variables in econometrics
resolves10.1111/1467-9868.00188
Direct Calculation of the Information Matrix via the EM Algorithm
resolves10.1111/j.2517-6161.1979.tb01055.x
Block Total Response as an Alternative to the Randomized Response Method in Surveys
resolves10.1080/01621459.1988.10478686
Covariate Randomized Response Models
resolves10.1017/cbo9780511819322
The Psychology of Survey Response
resolves10.1037/0033-2909.133.5.859
Sensitive questions in surveys.
resolves10.1093/poq/nfm012
A Study of the Properties of the Item Count Technique
resolves10.1146/annurev.psych.57.102904.190038
Psychological Perspectives on Legitimacy and Legitimation
resolves10.1177/0049124103257440
The Analysis of Multivariate Misclassified Data With Special Attention to Randomized Response Data
resolves10.1080/01621459.1965.10480775
Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
The 9 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref4
no DOI — not checkedTrust in justice: Topline findings from the European Social Survey
no DOI — not checkedref10
no DOI — not checkedref11
no DOI — not checkedref13
no DOI — not checkedref20
no DOI — not checkedR: A Language and Environment for Statistical Computing
no DOI — not checkedref32
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. If Crossref’s record marks the work itself retracted, withdrawn, or removed, the badge says so instead of showing clean. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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