Understanding the Gateway: Unpacking the Mechanisms, Boundaries, and Outcomes of Climate Consensus Messaging

Study Goal and Dataset description

The dataset contains data from a national representative sample of the German population regarding gender and age (N = 1515, 941 after applying all exclusion criteria).

The data is from an online survey conducted via the data collection company Bilendi.

The goal of our study for which the data was collected, was to investigate the influence of consensus messaging on the Perceived scientific Consensus.

The folder raw includes the raw survey data.

The folder auxillary includes information on all participants that did not pass the quality control.

The folder processed includes the cleaned data for the analyses

The folder analysis includes the code for data preparation data_prepCCstudy and for calculating the descriptive statistic and testing the hypotheses data_analyses_CCstudy.

For more information regarding the study design and hypotheses one can have a look at our preregistration: OSF Registries | “The Role of Perceived Scientific Consensus on Learning about Climate Change from a Educational Video - A Gateway Belief Model Approach”

This is an updated version of the initial data analysis script. The following was updated/changed:

Inclusion of covariate (education) (v1.2)

Reorganization of hypotheses to fit paper structure (v1.2)

Consistent use of Bayesian mixed-effects models (v1.2)

Added Bayesian mediation analysis (Group -> PSC -> Climate Beliefs -> Learning) (v1.2)

Removed Reactance analysis (v1.2)

Added CFA for climate belief scale (v1.2)

Changed some variable names that caused issues when running only the analysis script (v1.3)

研究目标与数据集说明

本数据集涵盖德国人口的全国代表性样本中关于性别与年龄的相关数据（初始样本量N=1515，经全部排除标准筛选后剩余941份有效样本）。

该数据由数据采集公司Bilendi通过线上调研采集所得。

本研究采集该数据的核心目标，是探究共识信息传播（consensus messaging）对感知科学共识（Perceived Scientific Consensus）的影响效应。

raw文件夹存放原始调研数据。

auxillary文件夹存放所有未通过质量控制的参与者的相关信息。

processed文件夹存放用于后续分析的清洗后数据。

analysis文件夹包含两类分析代码：一是数据预处理脚本data_prepCCstudy，二是用于计算描述性统计量与验证研究假设的脚本data_analyses_CCstudy。

若需了解更多研究设计与研究假设的细节，可查阅本研究的预注册文件：OSF Registries | "The Role of Perceived Scientific Consensus on Learning about Climate Change from a Educational Video - A Gateway Belief Model Approach"

本文件为初始数据分析脚本的更新版本，以下为本次更新/修改内容：
1. 新增协变量（受教育程度）（版本v1.2）
2. 调整研究假设的结构以适配论文排版框架（版本v1.2）
3. 统一采用贝叶斯混合效应模型开展分析（版本v1.2）
4. 新增贝叶斯中介分析（路径：分组→感知科学共识→气候变化信念→学习效果）（版本v1.2）
5. 移除了心理抗拒分析（Reactance analysis）（版本v1.2）
6. 新增针对气候变化信念量表的验证性因子分析（Confirmatory Factor Analysis，CFA）（版本v1.2）
7. 修改了部分仅运行分析脚本时会引发报错的变量名（版本v1.3）