{"title":"竞选信息预测试中感知信息有效性的诊断:信息间相关性和信息对站立性比较的多层次分析","authors":"Sungeun Chung, Byeong-Hyeon Lee, Youllee Kim","doi":"10.1093/joc/jqaf006","DOIUrl":null,"url":null,"abstract":"Whether perceived message effectiveness (PME) can be diagnostic for the differences of actual message effect (AME) in campaign message pretesting and how the diagnosticity of PME should be tested have been controversial. To address these issues, we conducted a survey involving 19 campaign messages (N = 760) and statistically analyzed the multilevel relationships among the between-message, within-message, and disaggregated across-message PME–AME correlations. From our analysis, we advocate for a multilevel analysis of between-message PME–AME correlation as the optimal method for testing PME’s diagnosticity. We also evaluated O’Keefe’s (2018) message-pair standing comparison method and suggested using statistical significance tests to examine PME differences between messages. The between-message PME–AME correlations were strongly positive (greater than 0.824), and PME standing corresponded with AME standing in 94.5% of the message-pairs. Our findings confirm that PME is diagnostic for AME.","PeriodicalId":48410,"journal":{"name":"Journal of Communication","volume":"210 1","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnosticity of perceived message effectiveness in campaign message pretesting: multilevel analysis of the between-message correlation and message-pair standing comparisons\",\"authors\":\"Sungeun Chung, Byeong-Hyeon Lee, Youllee Kim\",\"doi\":\"10.1093/joc/jqaf006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Whether perceived message effectiveness (PME) can be diagnostic for the differences of actual message effect (AME) in campaign message pretesting and how the diagnosticity of PME should be tested have been controversial. To address these issues, we conducted a survey involving 19 campaign messages (N = 760) and statistically analyzed the multilevel relationships among the between-message, within-message, and disaggregated across-message PME–AME correlations. From our analysis, we advocate for a multilevel analysis of between-message PME–AME correlation as the optimal method for testing PME’s diagnosticity. We also evaluated O’Keefe’s (2018) message-pair standing comparison method and suggested using statistical significance tests to examine PME differences between messages. The between-message PME–AME correlations were strongly positive (greater than 0.824), and PME standing corresponded with AME standing in 94.5% of the message-pairs. Our findings confirm that PME is diagnostic for AME.\",\"PeriodicalId\":48410,\"journal\":{\"name\":\"Journal of Communication\",\"volume\":\"210 1\",\"pages\":\"\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Communication\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1093/joc/jqaf006\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1093/joc/jqaf006","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
Diagnosticity of perceived message effectiveness in campaign message pretesting: multilevel analysis of the between-message correlation and message-pair standing comparisons
Whether perceived message effectiveness (PME) can be diagnostic for the differences of actual message effect (AME) in campaign message pretesting and how the diagnosticity of PME should be tested have been controversial. To address these issues, we conducted a survey involving 19 campaign messages (N = 760) and statistically analyzed the multilevel relationships among the between-message, within-message, and disaggregated across-message PME–AME correlations. From our analysis, we advocate for a multilevel analysis of between-message PME–AME correlation as the optimal method for testing PME’s diagnosticity. We also evaluated O’Keefe’s (2018) message-pair standing comparison method and suggested using statistical significance tests to examine PME differences between messages. The between-message PME–AME correlations were strongly positive (greater than 0.824), and PME standing corresponded with AME standing in 94.5% of the message-pairs. Our findings confirm that PME is diagnostic for AME.
期刊介绍:
The Journal of Communication, the flagship journal of the International Communication Association, is a vital publication for communication specialists and policymakers alike. Focusing on communication research, practice, policy, and theory, it delivers the latest and most significant findings in communication studies. The journal also includes an extensive book review section and symposia of selected studies on current issues. JoC publishes top-quality scholarship on all aspects of communication, with a particular interest in research that transcends disciplinary and sub-field boundaries.