On estimating the frequency of a target behavior from time-constrained yes/no survey questions: A parametric approach based on the Poisson process.

IF 7.6 1区心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

Psychological methods Pub Date : 2023-07-20 DOI:10.1037/met0000588

Benedikt Iberl, Rolf Ulrich

引用次数: 0

Abstract

We propose a novel method to analyze time-constrained yes/no questions about a target behavior (e.g., "Did you take sleeping pills during the last 12 months?"). A drawback of these questions is that the relative frequency of answering these questions with "yes" does not allow one to draw definite conclusions about the frequency of the target behavior (i.e., how often sleeping pills were taken) nor about the prevalence of trait carriers (i.e., percentage of people that take sleeping pills). Here we show how this information can be extracted from the results of such questions employing a prevalence curve and a Poisson model. The applicability of the method was evaluated with a survey on everyday behavior, which revealed plausible results and reasonable model fit. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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从时间约束的是/否调查问题中估计目标行为的频率:基于泊松过程的参数化方法。

我们提出了一种新的方法来分析关于目标行为的有时间限制的是/否问题(例如，“你在过去的12个月里吃过安眠药吗?”)。这些问题的一个缺点是，回答“是”的相对频率不能让一个人对目标行为的频率(即，服用安眠药的频率)或特质携带者的流行程度(即，服用安眠药的人的百分比)得出明确的结论。在这里，我们展示了如何利用流行曲线和泊松模型从这些问题的结果中提取这些信息。通过对日常行为的调查评估了该方法的适用性，结果表明该方法的结果合理，模型拟合合理。(PsycInfo数据库记录(c) 2023 APA，版权所有)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Psychological methods PSYCHOLOGY, MULTIDISCIPLINARY-

CiteScore

13.10

自引率

7.10%

发文量

159

期刊介绍： Psychological Methods is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research.