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Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research