实验和观测数据的贝叶斯分析:BANOVA R 软件包的回顾与说明

IF 4 Q2 BUSINESS
Michel Wedel, Chen Dong, Anna Kopyakova
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引用次数: 0

摘要

本文回顾了 BANOVA R 软件包,并说明了它在营销分析中的应用。该软件包允许用户对主体间、主体内和混合设计进行回归分析和方差分析,其中因变量遵循各种连续或离散分布函数之一,数据可能具有层次结构。该软件包使用 stan 作为底层计算引擎,可以计算简单效应、泛光灯分析和中介分析。R 软件包通过重新分析 Blake 等人(Psychol Sci 32:315-325, 2021)关于厌恶女性的推文与家庭暴力之间关系的观察数据,以及 Srna 等人(Psychol Sci 29:1942-1955, 2018)关于多任务感知的实验数据进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian analysis of experimental and observational data: a review and illustration of the BANOVA R package

This article provides a review of the BANOVA R package and an illustration of its uses in Marketing Analytics. The package allows users to conduct regression analyses and analysis of variance for between-subjects, within-subjects, and mixed designs, where the dependent variable follows one of a variety of continuous or discrete distribution functions and the data may have a hierarchical structure. The package uses stan as the underlying computing engine, and enables the calculation of simple effects, floodlight analysis, and mediation analysis. The R package is illustrated through a reanalysis of the observational data by Blake et al. (Psychol Sci 32:315–325, 2021) on the relationship between misogynistic tweets and domestic violence, and of the experimental data by Srna et al. (Psychol Sci 29:1942–1955, 2018) on the perception of multitasking.

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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
期刊介绍: Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors. Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter. The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline. The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy. The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.
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