{"title":"消费者研究教程:在实验研究中保持真实-了解何时,何地以及如何增强现实主义和衡量消费者行为","authors":"Andrea C. Morales, On Amir, Leonard Lee","doi":"10.2139/ssrn.3537131","DOIUrl":null,"url":null,"abstract":"In this article, we consider the reasons why employing realistic experimental designs and measuring actual behavior is important and beneficial for consumer research. More specifically, we discuss when, where, and how researchers might go about doing this in order to increase the veracity and believability of their work. We analyze the choice of independent variables (IVs) along the experimental-realism dimension, ranging from artificial to realistic, and the choice of dependent variables (DVs) along the behavioral-measures dimension ranging from hypothetical intention to actual behavior. Importantly, we also map various goals of consumer research along these two dimensions to highlight when it is most appropriate to enhance the realism and behavioral measures of an experiment. Using a number of illustrative examples from research in the extant literature, we specifically highlight how consumer researchers can increase experimental realism and utilize actual-behavior measures in their experiments in order to improve both the fidelity of the research and the likelihood that the research provides insight into “real�? consumer behavior.","PeriodicalId":443127,"journal":{"name":"Behavioral Marketing eJournal","volume":" 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Tutorial in Consumer Research: Keeping it Real in Experimental Research – Understanding When, Where, and How to Enhance Realism and Measure Consumer Behavior\",\"authors\":\"Andrea C. Morales, On Amir, Leonard Lee\",\"doi\":\"10.2139/ssrn.3537131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we consider the reasons why employing realistic experimental designs and measuring actual behavior is important and beneficial for consumer research. More specifically, we discuss when, where, and how researchers might go about doing this in order to increase the veracity and believability of their work. We analyze the choice of independent variables (IVs) along the experimental-realism dimension, ranging from artificial to realistic, and the choice of dependent variables (DVs) along the behavioral-measures dimension ranging from hypothetical intention to actual behavior. Importantly, we also map various goals of consumer research along these two dimensions to highlight when it is most appropriate to enhance the realism and behavioral measures of an experiment. Using a number of illustrative examples from research in the extant literature, we specifically highlight how consumer researchers can increase experimental realism and utilize actual-behavior measures in their experiments in order to improve both the fidelity of the research and the likelihood that the research provides insight into “real�? consumer behavior.\",\"PeriodicalId\":443127,\"journal\":{\"name\":\"Behavioral Marketing eJournal\",\"volume\":\" 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral Marketing eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3537131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral Marketing eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3537131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Tutorial in Consumer Research: Keeping it Real in Experimental Research – Understanding When, Where, and How to Enhance Realism and Measure Consumer Behavior
In this article, we consider the reasons why employing realistic experimental designs and measuring actual behavior is important and beneficial for consumer research. More specifically, we discuss when, where, and how researchers might go about doing this in order to increase the veracity and believability of their work. We analyze the choice of independent variables (IVs) along the experimental-realism dimension, ranging from artificial to realistic, and the choice of dependent variables (DVs) along the behavioral-measures dimension ranging from hypothetical intention to actual behavior. Importantly, we also map various goals of consumer research along these two dimensions to highlight when it is most appropriate to enhance the realism and behavioral measures of an experiment. Using a number of illustrative examples from research in the extant literature, we specifically highlight how consumer researchers can increase experimental realism and utilize actual-behavior measures in their experiments in order to improve both the fidelity of the research and the likelihood that the research provides insight into “real�? consumer behavior.