| dc.contributor.author | Singh, Surendra N. | |
| dc.contributor.author | Churchill, Gilbert A. | |
| dc.date.accessioned | 2015-05-15T20:48:27Z | |
| dc.date.available | 2015-05-15T20:48:27Z | |
| dc.date.issued | 1986 | |
| dc.identifier.citation | Singh, Surendra N., and Gilbert A. Churchill. "Using the Theory of Signal Detection to Improve Ad Recognition Testing." Journal of Marketing Research 23.4 (1986): 327. Web. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1808/17779 | |
| dc.description | This is the published version. Copyright 1986 American Marketing Association. | en_US |
| dc.description.abstract | Recognition tests are a very popular means of assessing the memory effectiveness of advertisements. Unfortunately the recognition scores obtained by current methods reflect both the memory for an advertisement and the response biases of the respondents. The authors introduce the theory of signal detection (TSD) which can be used to secure independent estimates of memory and response bias in recognition tests. They discuss how TSD can be used to improve ad recognition testing. | en_US |
| dc.publisher | American Marketing Association | en_US |
| dc.subject | Readership | en_US |
| dc.subject | Advertising research | en_US |
| dc.title | Using the Theory of Signal Detection to Improve Ad Recognition Testing. | en_US |
| dc.type | Article | |
| kusw.kuauthor | Singh, Surendra N. | |
| kusw.kudepartment | School of Business | en_US |
| kusw.oaversion | Scholarly/refereed, publisher version | |
| kusw.oapolicy | This item does not meet KU Open Access policy criteria. | |
| dc.rights.accessrights | openAccess | |
