Difficulty and Time Perceptions of Preparatory Activities for Quitting Smoking: Dataset

This dataset contains the data on 144 daily smokers each rating 44 preparatory activities for quitting smoking (e.g., envisioning one's desired future self after quitting smoking, tracking one's smoking behavior, learning about progressive muscle relaxation) on their perceived ease/difficulty and required completion time. Since becoming more physically active can make it easier to quit smoking, some activities were also about becoming more physically active (e.g., tracking one's physical activity behavior, learning about what physical activity is recommended, envisioning one's desired future self after becoming more physically active). Moreover, participants provided a free-text response on what makes some activities more difficult than others.<br><strong>Study</strong>The data was gathered during a study on the online crowdsourcing platform Prolific between 6 September and 16 November 2022. The Human Research Ethics Committee of Delft University of Technology granted ethical approval for the research (Letter of Approval number: 2338). In this study, daily smokers who were contemplating or preparing to quit smoking first filled in a prescreening questionnaire and were then invited to a repertory grid study if they passed the prescreening. In the repertory grid study, participants were asked to divide sets of 3 preparatory activities for quitting smoking into two subgroups. Afterward, they rated all preparatory activities on the perceived ease of doing them and the perceived required time to do them. Participants also provided a free-text response on what makes some activities more difficult than others.The study was pre-registered in the Open Science Framework (OSF): https://osf.io/cax6f. This pre-registration describes the study setup, measures, etc. Note that this dataset contains only part of the collected data: the data related to studying the perceived difficulty of preparatory activities.The file "Preparatory_Activity_Formulations.xlsx" contains the formulations of the 44 preparatory activities used in this study.<br><strong>Data</strong>This dataset contains three types of data:- <strong>Data from participants' Prolific profiles</strong>. This includes, for example, the age, gender, weekly exercise amount, and smoking frequency.- <strong>Data from a prescreening questionnaire</strong>. This includes, for example, the stage of change for quitting smoking and whether people previously tried to quit smoking.- <strong>Data from the repertory grid study</strong>. This includes the ratings of the 44 activities on ease and required time as well as the free-text responses on what makes some activities more difficult than others.There is for each data file a file that explains each data column. For example, the file "prolific_profile_data_explanation.xlsx" contains the column explanations for the data gathered from participants' Prolific profiles.Each data file contains a column called "rand_id" that can be used to link the data from the data files.<br>In the case of questions, please contact Nele Albers ([e-mail]) or Willem-Paul Brinkman ([e-mail]).

本数据集涵盖144名每日吸烟者对44项戒烟准备活动的评分数据，参与者需对每项活动的感知难易程度与所需完成时长进行评价。相关活动示例包括：设想戒烟后理想的未来自我、追踪自身吸烟行为、学习渐进式肌肉放松法。由于增加身体活动有助于戒烟，部分活动也围绕提升身体活动水平展开，例如：追踪自身身体活动行为、了解推荐的身体活动类型、设想提升身体活动后理想的未来自我。此外，参与者还针对“为何部分活动难度更高”这一问题提交了自由文本回复。
**研究概况**
该数据采集于2022年9月6日至11月16日期间的在线众包平台Prolific。代尔夫特理工大学人类研究伦理委员会批准了本研究（批准函编号：2338）。本研究中，正在思索或筹备戒烟的每日吸烟者首先需填写预筛选问卷，通过预筛选的参与者将受邀参与个人构念网格（repertory grid）研究。在该研究环节中，参与者需将每组3项戒烟准备活动划分为两个子组。随后，参与者需对全部44项活动的感知完成难度与所需时长进行评分。此外，参与者还需针对“为何部分活动难度更高”提交自由文本回复。本研究已在开放科学框架（Open Science Framework, OSF）进行预注册，注册链接为：https://osf.io/cax6f。该预注册文档详细说明了研究设计、测量方法等内容。请注意，本数据集仅包含采集数据的一部分：即与戒烟准备活动感知难度相关的子集数据。文件"Preparatory_Activity_Formulations.xlsx"收录了本研究中使用的44项戒烟准备活动的具体表述。
**数据集详情**
本数据集包含三类数据：
1. **参与者Prolific档案数据**：例如年龄、性别、每周运动量与吸烟频率等。
2. **预筛查问卷数据**：例如戒烟行为改变阶段、既往是否尝试过戒烟等。
3. **个人构念网格研究数据**：包含44项活动的难易度与所需时长评分，以及关于“部分活动难度更高的原因”的自由文本回复。
每个数据文件均配有对应的列说明文档。例如，文件"prolific_profile_data_explanation.xlsx"包含参与者Prolific档案数据的各列含义说明。所有数据文件均包含一列名为"rand_id"的字段，可用于关联不同数据文件中的对应数据。
如有疑问，请联系Nele Albers（邮箱：[e-mail]）或Willem-Paul Brinkman（邮箱：[e-mail]）。