Best-Worst Scaling: A New Method for Advertisement Evaluation
Access Status
Authors
Date
2015Type
Metadata
Show full item recordCitation
Source Title
ISSN
School
Collection
Abstract
The evaluation and selection of advertisements with desired levels of attributes such as ethicality, likeability, humour, or information content, can be undertaken using a variety of methods. These include researchers' personal judgments, focus groups, expert panels, and ratings scale approaches. However, there is still no generally accepted systematic evaluation or selection procedure. This paper details a simple but powerful method known as ‘best–worst scaling’ (BWS) to evaluate and select advertisements on criteria of interest. BWS represents an important new tool for advertising researchers, advertising agencies and their clients, communications scholars, and policy makers to evaluate and select advertisements. This paper achieves three ends. First, it critiques existing methods of advertisement evaluation. Second, it demonstrates that BWS has greater validity than existing methods. Third, this is the first paper to present a worked example of how to use BWS, and demonstrate its use in an advertisement evaluation context. Importantly, BWS is not restricted to evaluating advertisements – it can be used to evaluate any items on criteria of interest.
Related items
Showing items related by title, author, creator and subject.
-
Alzahrani, Mojib Othman (2012)This research investigates reasons for differences in quality between advertisements created by local and international advertising agencies operating in Saudi Arabia. It focuses on the investment in, and use of, computer ...
-
Woodside, Arch (2016)Purpose – This paper aims to present a commentary on the Armstrong et al. (2015) proposals to use checklists of Armstrong’s “advertising principles” to predict the effectiveness of alternative advertising executions and ...
-
Dong, Hai (2010)With the emergence of the Web and its pervasive intrusion on individuals, organizations, businesses etc., people now realize that they are living in a digital environment analogous to the ecological ecosystem. Consequently, ...