A two-wave longitudinal panel dataset on United States public acceptance of Precision Livestock Farming technology in swine production

This dataset describes a two-wave longitudinal panel data assembled to support research on United States public acceptance of Precision Livestock Farming (PLF) technology in swine production. The dataset comprises two structured comma-separated-value files — panel_long_analysis.csv (n = 2,565 person-wave observations; 37 variables) and panel_wide_analysis.csv (n = 345 balanced-panel respondents; 64 variables) — alongside three fully documented R analysis scripts. Data were collected via a two-wave online and mail survey administered by the Michigan State University Office for Survey Research (MSU-OSR) to adult residents of Iowa, Michigan, and North Carolina: Wave 1 in Fall 2022 (n = 1,287) and Wave 2 in Fall 2023 through Spring 2024 (n = 1,278). Sampling used a 50/50 urban–rural address stratification within each state. The survey instrument measured PLF acceptance via an eight-item belief index (plf_index) and general attitudes toward agriculture and technology via a ten-item index (att_index), together with binary livestock familiarity indicators, social proximity to farmers, and standard sociodemographic covariates. A balanced sub-panel of 345 respondents who completed both waves enables within-person analysis of attitude dynamics. The deposited data support pooled ordinary least squares, individual fixed-effects, two-way fixed-effects, random-effects, and first-difference panel model estimation, as well as principal components analysis, reliability assessment, cross-sectional sub-group comparisons, and geographic analyses. All files are structured in UTF-8 CSV format with a detailed variable codebook documented herein. To the best of our knowledge, this is the first publicly available longitudinal panel dataset on U.S. general-public acceptance of PLF technology in swine production.本数据集为支撑美国公众对生猪养殖领域精准畜牧业（Precision Livestock Farming，PLF）技术接受度的相关研究而构建，属于两波次纵向追踪面板数据。数据集包含两份结构化逗号分隔值文件：panel_long_analysis.csv（含2565条人员-波次观测值，共37个变量）与panel_wide_analysis.csv（含345名平衡面板受访者，共64个变量），同时附带三份完成完整文档化的R语言分析脚本。数据由密歇根州立大学调查研究办公室（Michigan State University Office for Survey Research，MSU-OSR）通过线上与邮寄结合的两波次调查采集完成，调查对象为爱荷华州、密歇根州与北卡罗来纳州的成年居民：第一波次调查于2022年秋季开展（样本量n=1287），第二波次调查于2023年秋季至2024年春季开展（样本量n=1278）。抽样方案采用各州内城乡地址50/50分层抽样。本次调查工具通过8条目信念指数（plf_index）衡量受访者对PLF技术的接受度，通过10条目态度指数（att_index）衡量公众对农业与技术的总体态度，同时涵盖二元化牲畜熟悉度指标、与农户的社会亲近度指标，以及标准社会人口学协变量。由完成两波次调查的345名受访者构成的平衡子面板，可支持针对个体态度动态变化的分析。本数据集可支撑混合普通最小二乘法、个体固定效应、双向固定效应、随机效应与一阶差分等面板模型的估计，同时支持主成分分析、信度评估、横截面亚组比较与地理分析。所有文件均采用UTF-8编码的CSV格式，配套详细的变量编码手册附于本说明文档中。据我们所知，本数据集是首个公开可用的、针对美国普通公众对生猪养殖领域PLF技术接受度的纵向面板数据集。