New non-randomised model to assess the prevalence of discriminating behaviour: a pilot study on mephedrone
暂无分享,去创建一个
Tamás Nepusz | Andrea Petróczi | Jay Schaffer | Paul Cross | Declan P Naughton | James Barker | Helen Taft | Syeda Shah | Nawed Deshmukh | Maryann Shane | Christiana Adesanwo
[1] Ulf Böckenholt,et al. Do randomized-response designs eliminate response biases? An empirical study of non-compliance behavior , 2009 .
[2] Zhi Geng,et al. A new non‐randomized model for analysing sensitive questions with binary outcomes , 2007, Statistics in medicine.
[3] Tamás Nepusz,et al. Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient? , 2011, Substance abuse treatment, prevention, and policy.
[4] Simon D Brandt,et al. Analyses of second-generation 'legal highs' in the UK: initial findings. , 2010, Drug testing and analysis.
[5] Min Sok Lee,et al. A penny for your thoughts: Inducing truth-telling in stated preference elicitation , 2010 .
[6] Hennie Boeije,et al. Honest by Chance: a Qualitative Interview Study to Clarify Respondents' (Non-)Compliance With Computer-Assisted Randomized Response , 2002 .
[7] R. Tourangeau,et al. Sensitive questions in surveys. , 2007, Psychological bulletin.
[8] Man-Lai Tang,et al. Sample size determination for the non-randomised triangular model for sensitive questions in a survey , 2011, Statistical methods in medical research.
[9] Samuel Himmelfarb,et al. The Multi-Item Randomized Response Technique , 2008 .
[10] Ulf Böckenholt,et al. Item Randomized-Response Models for Measuring Noncompliance: Risk-Return Perceptions, Social Influences, and Self-Protective Responses , 2007 .
[11] J. Sonnemans,et al. A Truth Serum for Non-Bayesians: Correcting Proper Scoring Rules for Risk Attitudes* , 2009 .
[12] Ming Tan,et al. Sample Surveys With Sensitive Questions: A Nonrandomized Response Approach , 2009 .
[13] Jean-Paul Fox,et al. A Mixed Effects Randomized Item Response Model , 2008 .
[14] T. Nepusz,et al. Virtue or Pretense? Looking behind Self-Declared Innocence in Doping , 2010, PloS one.
[15] Harold Sigall,et al. The bogus pipeline: A new paradigm for measuring affect and attitude. , 1971 .
[16] L. Snyder. Health communication campaigns and their impact on behavior. , 2007, Journal of nutrition education and behavior.
[17] Peter G. M. van der Heijden,et al. Meta-Analysis of Randomized Response Research , 2005 .
[18] Anthony Y. C. Kuk,et al. Asking sensitive questions indirectly , 1990 .
[19] Wei Pan,et al. A Multivariate Approach to a Meta-Analytic Review of the Effectiveness of the D.A.R.E. Program , 2009, International journal of environmental research and public health.
[20] A. Petróczi,et al. Impact of multidisciplinary research on advancing anti-doping efforts , 2011 .
[21] Wendy Visscher,et al. The Item Count Technique as a Method of Indirect Questioning: A Review of Its Development and a Case Study Application , 2011 .
[22] D. Lehmann,et al. Designing Effective Health Communications: A Meta-Analysis , 2008 .
[23] P.G.M. Van der Heijden,et al. Repeated Cross-Sectional Randomized Response Data Taking Design Change and Self-Protective Responses into Account , 2009 .
[24] Gerty J. L. M. Lensvelt-Mulders,et al. Evaluating compliance with a computer assisted randomized response technique: a qualitative study into the origins of lying and cheating , 2007, Comput. Hum. Behav..
[25] Michael D. Buhrmester,et al. Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.
[26] Ben Jann,et al. Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT) , 2011 .
[27] Paul T. Costa,et al. Social desirability scales: More substance than style. , 1983 .
[28] T. Nepusz,et al. Incongruence in Doping Related Attitudes, Beliefs and Opinions in the Context of Discordant Behavioural Data: In Which Measure Do We Trust? , 2011, PloS one.
[29] Takahiro Tsuchiya,et al. A Study of the Properties of the Item Count Technique , 2007 .
[30] A. Winstock,et al. Mephedrone: still available and twice the price , 2010, The Lancet.
[31] G. Tian,et al. Two new models for survey sampling with sensitive characteristic: design and analysis , 2008 .
[32] Joel R. Grossbard,et al. Normative Misperceptions and Marijuana Use Among Male and Female College Athletes , 2009, Journal of applied sport psychology.
[33] I. Vardakou,et al. Drugs for youth via Internet and the example of mephedrone. , 2011, Toxicology letters.
[34] Kelly Morris,et al. UK places generic ban on mephedrone drug family , 2010, The Lancet.
[35] Ardo van den Hout,et al. ACCOUNTING FOR NON‐COMPLIANCE IN THE ANALYSIS OF RANDOMIZED RESPONSE DATA , 2009 .
[36] Dan R. Dalton,et al. USING THE UNMATCHED COUNT TECHNIQUE (UCT) TO ESTIMATE BASE RATES FOR SENSITIVE BEHAVIOR , 1994 .
[37] K. Richter,et al. Substance Abuse Treatment, Prevention, and Policy , 2006 .
[38] W. R. Simmons,et al. The Unrelated Question Randomized Response Model: Theoretical Framework , 1969 .
[39] A. Gregg. When vying reveals lying: the timed antagonistic response alethiometer , 2007 .
[40] Ulf Böckenholt,et al. Estimating the prevalence of sensitive behaviour and cheating with a dual design for direct questioning and randomized response , 2010, Journal of the Royal Statistical Society. Series C, Applied statistics.
[41] S L Warner,et al. Randomized response: a survey technique for eliminating evasive answer bias. , 1965, Journal of the American Statistical Association.
[42] Peter G. M. van der Heijden,et al. How to Improve the Efficiency of Randomised Response Designs , 2005 .
[43] Man-Lai Tang,et al. Bayesian non-randomized response models for surveys with sensitive questions , 2009 .
[44] Umberto Castiello,et al. How to Accurately Detect Autobiographical Events , 2008, Psychological science.
[45] S. Warner. The Linear Randomized Response Model , 1971 .
[46] Neal J. Roese,et al. Twenty years of bogus pipeline research : a critical review and meta-analysis , 1993 .
[47] C. Shaw,et al. Applying an extended theoretical framework for data collection mode to health services research , 2010, BMC health services research.
[48] Alison Walker,et al. Home Office Statistical Bulletin , 2009 .
[49] D. Prelec. A Bayesian Truth Serum for Subjective Data , 2004, Science.
[50] L. Ross,et al. The “false consensus effect”: An egocentric bias in social perception and attribution processes , 1977 .
[51] Ulf Böckenholt,et al. Log-Linear Randomized-Response Models Taking Self-Protective Response Behavior Into Account , 2007 .
[52] Robert A. Desharnais,et al. Honest Answers to Embarrassing Questions: Detecting Cheating in the Randomized Response Model , 1998 .
[53] Jochen Musch,et al. Improving self-report measures of medication non-adherence using a cheating detection extension of the randomised-response-technique , 2011, Statistical methods in medical research.
[54] Brian Borsari,et al. Descriptive and injunctive norms in college drinking: a meta-analytic integration. , 2003, Journal of studies on alcohol.
[55] L. Uziel. Rethinking Social Desirability Scales , 2010, Perspectives on psychological science : a journal of the Association for Psychological Science.
[56] C. Merzel,et al. Reconsidering community-based health promotion: promise, performance, and potential. , 2003, American journal of public health.
[57] Peter G. M. van der Heijden,et al. Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model , 2008, 0803.3891.
[58] Seymour Sudman,et al. Measurement errors in surveys , 1993 .