Pub Date : 2022-06-02DOI: 10.1177/14707853221106317
J. Paul, Dr.Jaspreet Kaur, Dr. Shivani Arora, Mr. Sujay Vikram Singh
This paper presents a meta-analytical evaluation of the literature on the Urge to Buy (UTB). It seeks to establish the common antecedents of UTB as a construct by a thorough examination of the prior literature. Accordingly, the most significant antecedents of UTB are perceived enjoyment, perceived usefulness, hedonic and utilitarian values, positive and negative affects, scarcity, and impulsive buying tendency. The location of the studies has a moderating influence on the antecedents of UTB. Almost all the factors were more decisive in Eastern countries than Western. The limitations of the current study and the future research agenda have also been mentioned. The study results have both theoretical and practical implications contributing to the marketing research field. The implications of all the studies in the past on the UTB construct have been discussed, and the effect of these studies has been summarized with the meta-analysis technique.
{"title":"Deciphering ‘Urge to Buy’: A Meta-Analysis of Antecedents","authors":"J. Paul, Dr.Jaspreet Kaur, Dr. Shivani Arora, Mr. Sujay Vikram Singh","doi":"10.1177/14707853221106317","DOIUrl":"https://doi.org/10.1177/14707853221106317","url":null,"abstract":"This paper presents a meta-analytical evaluation of the literature on the Urge to Buy (UTB). It seeks to establish the common antecedents of UTB as a construct by a thorough examination of the prior literature. Accordingly, the most significant antecedents of UTB are perceived enjoyment, perceived usefulness, hedonic and utilitarian values, positive and negative affects, scarcity, and impulsive buying tendency. The location of the studies has a moderating influence on the antecedents of UTB. Almost all the factors were more decisive in Eastern countries than Western. The limitations of the current study and the future research agenda have also been mentioned. The study results have both theoretical and practical implications contributing to the marketing research field. The implications of all the studies in the past on the UTB construct have been discussed, and the effect of these studies has been summarized with the meta-analysis technique.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"773 - 798"},"PeriodicalIF":3.0,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65477070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-30DOI: 10.1177/14707853221095002
Richard Huaman-Ramirez, Jean-François Toti
The purpose of this article is to examine how e-retailer brands are related to the manufacturer brands they offer. This study is grounded in the experiential branding perspective focusing on multiple dimensions (i.e., sensorial, affective, and intellectual). We also examine the moderating role of the consumer’s chronological age on the effects of both manufacturer brand experience and e-retailer brand experience on brand satisfaction. A sample of 252 beauty box French subscribers took part in our study, and we used partial least squares structural equation modelling to test our hypotheses. Our findings show that manufacturer brand experience positively and directly affects e-retailer brand experience, which in turn positively affects e-retailer brand satisfaction. We also show that chronological age has a positive moderating role on the relationship between e-retailer brand experience and e-retailer brand satisfaction.
{"title":"How are e-retailer brands related to the manufacturer brands they offer?","authors":"Richard Huaman-Ramirez, Jean-François Toti","doi":"10.1177/14707853221095002","DOIUrl":"https://doi.org/10.1177/14707853221095002","url":null,"abstract":"The purpose of this article is to examine how e-retailer brands are related to the manufacturer brands they offer. This study is grounded in the experiential branding perspective focusing on multiple dimensions (i.e., sensorial, affective, and intellectual). We also examine the moderating role of the consumer’s chronological age on the effects of both manufacturer brand experience and e-retailer brand experience on brand satisfaction. A sample of 252 beauty box French subscribers took part in our study, and we used partial least squares structural equation modelling to test our hypotheses. Our findings show that manufacturer brand experience positively and directly affects e-retailer brand experience, which in turn positively affects e-retailer brand satisfaction. We also show that chronological age has a positive moderating role on the relationship between e-retailer brand experience and e-retailer brand satisfaction.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"65 1","pages":"100 - 125"},"PeriodicalIF":3.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45773746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-30DOI: 10.1177/14707853221093515
Steven D Elliott
A grid-based approach to exploratory data analysis is described wherein the size of a grid’s cells may be altered. The primary tool of exploratory data analysis described here is cluster analysis. Background information is provided regarding the different types of clustering algorithms and their effectiveness. A grid-based approach for exploratory and cluster analysis is then described. Both exploratory and cluster analyses are performed for a series of different sizes of grid cells. Two marketing data sets are utilized to illustrate research questions often faced by market researchers. The first is a cluster analysis of cities used to create strata for selecting a representative probability sample. The second example is a segmentation of customers into groups for the purpose of targeting advertising and product insight. These examples illustrate related issues such as the elimination of “background noise” observations, significance tests for departures from uniform density, and metrics for the shape of a cluster.
{"title":"A grid-based approach to exploratory data analysis","authors":"Steven D Elliott","doi":"10.1177/14707853221093515","DOIUrl":"https://doi.org/10.1177/14707853221093515","url":null,"abstract":"A grid-based approach to exploratory data analysis is described wherein the size of a grid’s cells may be altered. The primary tool of exploratory data analysis described here is cluster analysis. Background information is provided regarding the different types of clustering algorithms and their effectiveness. A grid-based approach for exploratory and cluster analysis is then described. Both exploratory and cluster analyses are performed for a series of different sizes of grid cells. Two marketing data sets are utilized to illustrate research questions often faced by market researchers. The first is a cluster analysis of cities used to create strata for selecting a representative probability sample. The second example is a segmentation of customers into groups for the purpose of targeting advertising and product insight. These examples illustrate related issues such as the elimination of “background noise” observations, significance tests for departures from uniform density, and metrics for the shape of a cluster.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"727 - 737"},"PeriodicalIF":3.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46773503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-24DOI: 10.1177/14707853221104730
J. Dawes
An apparent anomaly in brand metrics data is that the aggregated buyer base of each brand appears to buy the category at above the average rate. This seems arithmetically impossible. The effect is real, but it has a simple explanation. It is caused by the fact that heavy category buyers buy more brands than light buyers do. They therefore appear in the buyer base of multiple brands, and so inflate the category buying rate for each brand to above the overall average rate. This study shows what it calls the ‘category purchase rate anomaly’ in empirical data, as well as demonstrating how it occurs via a simulated dataset.
{"title":"How can each brand’s buyer base buy the category at above the average rate?","authors":"J. Dawes","doi":"10.1177/14707853221104730","DOIUrl":"https://doi.org/10.1177/14707853221104730","url":null,"abstract":"An apparent anomaly in brand metrics data is that the aggregated buyer base of each brand appears to buy the category at above the average rate. This seems arithmetically impossible. The effect is real, but it has a simple explanation. It is caused by the fact that heavy category buyers buy more brands than light buyers do. They therefore appear in the buyer base of multiple brands, and so inflate the category buying rate for each brand to above the overall average rate. This study shows what it calls the ‘category purchase rate anomaly’ in empirical data, as well as demonstrating how it occurs via a simulated dataset.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"703 - 709"},"PeriodicalIF":3.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46679807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-17DOI: 10.1177/14707853221084213
Timo Lenzner, Jan Karem Höhne
The ever-growing number of respondents completing web surveys via smartphones is paving the way for leveraging technological advances to improve respondents’ survey experience and, in turn, the quality of their answers. Smartphone surveys enable researchers to incorporate audio and voice features into web surveys, that is, having questions read aloud to respondents using pre-recorded audio files and collecting voice answers via the smartphone’s microphone. Moving from written to audio and voice communication channels might be associated with several benefits, such as humanizing the communication process between researchers and respondents. However, little is known about respondents’ willingness to undergo this change in communication channels. Replicating and extending earlier research, we examine the extent to which respondents are willing to use audio and voice channels in web surveys, the reasons for their (non)willingness, and respondent characteristics associated with (non)willingness. The results of a web survey conducted in a nonprobability online panel in Germany (N = 2146) reveal that more than 50% of respondents would be willing to have the questions read aloud (audio channel) and about 40% would also be willing to give answers via voice input (voice channel). While respondents mostly name a general openness to new technologies for their willingness, they mostly name preference for written communication for their nonwillingness. Finally, audio and voice channels in smartphone surveys appeal primarily to frequent and competent smartphone users as well as younger and tech-savvy respondents.
{"title":"Who Is Willing to Use Audio and Voice Inputs in Smartphone Surveys, and Why?","authors":"Timo Lenzner, Jan Karem Höhne","doi":"10.1177/14707853221084213","DOIUrl":"https://doi.org/10.1177/14707853221084213","url":null,"abstract":"The ever-growing number of respondents completing web surveys via smartphones is paving the way for leveraging technological advances to improve respondents’ survey experience and, in turn, the quality of their answers. Smartphone surveys enable researchers to incorporate audio and voice features into web surveys, that is, having questions read aloud to respondents using pre-recorded audio files and collecting voice answers via the smartphone’s microphone. Moving from written to audio and voice communication channels might be associated with several benefits, such as humanizing the communication process between researchers and respondents. However, little is known about respondents’ willingness to undergo this change in communication channels. Replicating and extending earlier research, we examine the extent to which respondents are willing to use audio and voice channels in web surveys, the reasons for their (non)willingness, and respondent characteristics associated with (non)willingness. The results of a web survey conducted in a nonprobability online panel in Germany (N = 2146) reveal that more than 50% of respondents would be willing to have the questions read aloud (audio channel) and about 40% would also be willing to give answers via voice input (voice channel). While respondents mostly name a general openness to new technologies for their willingness, they mostly name preference for written communication for their nonwillingness. Finally, audio and voice channels in smartphone surveys appeal primarily to frequent and competent smartphone users as well as younger and tech-savvy respondents.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"594 - 610"},"PeriodicalIF":3.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45054975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-17DOI: 10.1177/14707853221101763
Erika Hlédik, C. Horváth
Preference stability can be a useful and supportive indicator for making strategic and tactical marketing decisions as it can assist short- and longer-term choices regarding product/brand characteristics and attributes. We provide a measurement approach combined with a model for strategic product/brand development decisions and subsequent marketing actions. Managers could use such insights when contrasting different attributes (e.g., design vs. camera of mobile phones) and also when making decisions about characteristics (e.g., different degrees of camera resolution of mobile phones). Such insights shall guide managers on where to invest and on how to leverage consumer preferences more effectively to generate sales for the company. We illustrate the use of our model of preferences and preference stability of product characteristics in three complementary studies (assessing yoghurt, energy drinks, and mobile phones).
{"title":"Strategic Use of Preference Stability Information for Product Evaluation","authors":"Erika Hlédik, C. Horváth","doi":"10.1177/14707853221101763","DOIUrl":"https://doi.org/10.1177/14707853221101763","url":null,"abstract":"Preference stability can be a useful and supportive indicator for making strategic and tactical marketing decisions as it can assist short- and longer-term choices regarding product/brand characteristics and attributes. We provide a measurement approach combined with a model for strategic product/brand development decisions and subsequent marketing actions. Managers could use such insights when contrasting different attributes (e.g., design vs. camera of mobile phones) and also when making decisions about characteristics (e.g., different degrees of camera resolution of mobile phones). Such insights shall guide managers on where to invest and on how to leverage consumer preferences more effectively to generate sales for the company. We illustrate the use of our model of preferences and preference stability of product characteristics in three complementary studies (assessing yoghurt, energy drinks, and mobile phones).","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"738 - 755"},"PeriodicalIF":3.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43210906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-11DOI: 10.1177/14707853221101565
Xing Fang, Tian-jia Wang
Identifying the right influencers for brands is often the starting point for a successful influencer campaign. However, influencer identification is understudied, and most previous studies have only discussed visible characteristics of influencers and their social networks, overlooking content-based metrics. Combining interdisciplinary theories and techniques from marketing, linguistics, and computer science, we propose a data-driven automated text analysis framework to identify characteristics of effective influencers using influencer posts. Specifically, we propose a model that incorporates influencer personality traits captured by natural language processing, accounting for traditional covariates, such as network structure and follower engagement. In addition, we use a dataset that attributes influencer social media activities to customer purchases to address fake engagement and showcase our automated textual analysis. The proposed framework can help marketers develop influencer profiles and predict optimal influencers for their campaigns.
{"title":"Using Natural Language Processing to Identify Effective Influencers","authors":"Xing Fang, Tian-jia Wang","doi":"10.1177/14707853221101565","DOIUrl":"https://doi.org/10.1177/14707853221101565","url":null,"abstract":"Identifying the right influencers for brands is often the starting point for a successful influencer campaign. However, influencer identification is understudied, and most previous studies have only discussed visible characteristics of influencers and their social networks, overlooking content-based metrics. Combining interdisciplinary theories and techniques from marketing, linguistics, and computer science, we propose a data-driven automated text analysis framework to identify characteristics of effective influencers using influencer posts. Specifically, we propose a model that incorporates influencer personality traits captured by natural language processing, accounting for traditional covariates, such as network structure and follower engagement. In addition, we use a dataset that attributes influencer social media activities to customer purchases to address fake engagement and showcase our automated textual analysis. The proposed framework can help marketers develop influencer profiles and predict optimal influencers for their campaigns.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"611 - 629"},"PeriodicalIF":3.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45956603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-25DOI: 10.1177/14707853221088732
P. Coombes, Pankaj Singh
The visibility of non-heterosexual identities is more prevalent today than ever before, yet there is little research about the consumption behaviors and preferences of lesbian, gay, bisexual, transgender, transsexual, queer, 2/two-spirit, questioning, intersex, asexual, ally, and other non-heterosexual (LGBTQ+) consumers—often referred to as the “pink pound”. A rare systematic review of LGBTQ+ literature is presented in this paper with the purpose of offering an argument for a wider adoption by marketing scholars and practitioners for research into LGBTQ+ consumer segments. The results of a longitudinal bibliometric analysis are presented to objectively demonstrate the hitherto limited engagement that consumer researchers have had with the discipline, and the limited degree that the discipline has influenced that literature. The key findings reveal a growing, but formative body of inter- and intra-disciplinary literature that, hitherto, has only just begun to be addressed by present day marketing researchers. A conclusion of the paper is that although the bibliometric analysis identifies the limited engagement with LGBTQ+ consumer research, this limited engagement appears to present a very significant lacuna and just as significant an opportunity for both marketing scholars and practitioners to engage much further with this literature in the future. Building on the analysis, the value of the paper also discusses potential directions for further research in marketing scholarship and practice.
{"title":"In Pursuit of the “Pink Pound”: A Systematic Literature Review","authors":"P. Coombes, Pankaj Singh","doi":"10.1177/14707853221088732","DOIUrl":"https://doi.org/10.1177/14707853221088732","url":null,"abstract":"The visibility of non-heterosexual identities is more prevalent today than ever before, yet there is little research about the consumption behaviors and preferences of lesbian, gay, bisexual, transgender, transsexual, queer, 2/two-spirit, questioning, intersex, asexual, ally, and other non-heterosexual (LGBTQ+) consumers—often referred to as the “pink pound”. A rare systematic review of LGBTQ+ literature is presented in this paper with the purpose of offering an argument for a wider adoption by marketing scholars and practitioners for research into LGBTQ+ consumer segments. The results of a longitudinal bibliometric analysis are presented to objectively demonstrate the hitherto limited engagement that consumer researchers have had with the discipline, and the limited degree that the discipline has influenced that literature. The key findings reveal a growing, but formative body of inter- and intra-disciplinary literature that, hitherto, has only just begun to be addressed by present day marketing researchers. A conclusion of the paper is that although the bibliometric analysis identifies the limited engagement with LGBTQ+ consumer research, this limited engagement appears to present a very significant lacuna and just as significant an opportunity for both marketing scholars and practitioners to engage much further with this literature in the future. Building on the analysis, the value of the paper also discusses potential directions for further research in marketing scholarship and practice.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"451 - 469"},"PeriodicalIF":3.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42540992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-18DOI: 10.1177/14707853221085206
H. Einarsson, J. Sakshaug, A. Cernat, Carina Cornesse, A. Blom
Nonprobability online panels are commonly used in the social sciences as a fast and inexpensive way of collecting data in contrast to more expensive probability-based panels. Given their ubiquitous use in social science research, a great deal of research is being undertaken to assess the properties of nonprobability panels relative to probability ones. Much of this research focuses on selection bias, however, there is considerably less research assessing the comparability (or equivalence) of measurements collected from respondents in nonprobability and probability panels. This article contributes to addressing this research gap by testing whether measurement equivalence holds between multiple probability and nonprobability online panels in Australia and Germany. Using equivalence testing in the Confirmatory Factor Analysis framework, we assessed measurement equivalence in six multi-item scales (three in each country). We found significant measurement differences between probability and nonprobability panels and within them, even after weighting by demographic variables. These results suggest that combining or comparing multi-item scale data from different sources should be done with caution. We conclude with a discussion of the possible causes of these findings, their implications for survey research, and some guidance for data users.
{"title":"Measurement equivalence in probability and nonprobability online panels","authors":"H. Einarsson, J. Sakshaug, A. Cernat, Carina Cornesse, A. Blom","doi":"10.1177/14707853221085206","DOIUrl":"https://doi.org/10.1177/14707853221085206","url":null,"abstract":"Nonprobability online panels are commonly used in the social sciences as a fast and inexpensive way of collecting data in contrast to more expensive probability-based panels. Given their ubiquitous use in social science research, a great deal of research is being undertaken to assess the properties of nonprobability panels relative to probability ones. Much of this research focuses on selection bias, however, there is considerably less research assessing the comparability (or equivalence) of measurements collected from respondents in nonprobability and probability panels. This article contributes to addressing this research gap by testing whether measurement equivalence holds between multiple probability and nonprobability online panels in Australia and Germany. Using equivalence testing in the Confirmatory Factor Analysis framework, we assessed measurement equivalence in six multi-item scales (three in each country). We found significant measurement differences between probability and nonprobability panels and within them, even after weighting by demographic variables. These results suggest that combining or comparing multi-item scale data from different sources should be done with caution. We conclude with a discussion of the possible causes of these findings, their implications for survey research, and some guidance for data users.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"484 - 505"},"PeriodicalIF":3.0,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44156983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-18DOI: 10.1177/14707853221085509
D. Trafimow, M. Hyman, Alena Kostyk, Ziyuan Wang, Tingting Tong, Tonghui Wang, Cong Wang
Marketing scholars often compare groups that occur naturally (e.g., socioeconomic status) or due to random assignment of participants to study conditions. These scholars often report group means, standard deviations, and effect sizes. Although such summary information can be helpful, it can misinform marketing practitioners’ decisions. To avoid this problem, scholars should also report the probability that one group’s member will score higher than another group’s member, and by various amounts. In this vein, newly conceived gain-probability diagrams can depict relevant, concise, and easy-to-comprehend probabilistic information. These diagrams’ nuanced perspective can contradict traditional significance test and effect size implications.
{"title":"Gain-probability diagrams in consumer research","authors":"D. Trafimow, M. Hyman, Alena Kostyk, Ziyuan Wang, Tingting Tong, Tonghui Wang, Cong Wang","doi":"10.1177/14707853221085509","DOIUrl":"https://doi.org/10.1177/14707853221085509","url":null,"abstract":"Marketing scholars often compare groups that occur naturally (e.g., socioeconomic status) or due to random assignment of participants to study conditions. These scholars often report group means, standard deviations, and effect sizes. Although such summary information can be helpful, it can misinform marketing practitioners’ decisions. To avoid this problem, scholars should also report the probability that one group’s member will score higher than another group’s member, and by various amounts. In this vein, newly conceived gain-probability diagrams can depict relevant, concise, and easy-to-comprehend probabilistic information. These diagrams’ nuanced perspective can contradict traditional significance test and effect size implications.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":"64 1","pages":"470 - 483"},"PeriodicalIF":3.0,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49630846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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