Best-Worst Scaling: A New Method for Advertisement Evaluation

QR Code

Best-Worst Scaling: A New Method for Advertisement Evaluation

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 approache...

Full description

Bibliographic Details
Main Authors:	Massey, G., Wang, P., Waller, D., Lanasier, Evi
Format:	Journal Article
Published:	Routledge 2015
Online Access:	http://hdl.handle.net/20.500.11937/29155

Similar Items

The best and worst of times
by: Omar, Noritah
Published: (2020)

Attitudes of Indonesian Mothers towards Children’s Advertising for Food
by: Lanasier, Evi
Published: (2014)

Attitudes of Indonesian Mothers towards Children’s Advertising for Food”, Journal of Food Product Marketing
by: Lanasier, Evi
Published: (2014)

Exploring personality and fit for garden festivals and parks: a Best-Worst Scaling approach
by: Quintal, Vanessa, et al.
Published: (2021)

Preparing for the worst while hoping for the best: the relevance of hope in the heart failure illness trajectory
by: Davidson, Patricia, et al.
Published: (2007)

Best and worst practices in management performance audits: Constructing and testing an algorithmic model
by: Woodside, Arch, et al.
Published: (2016)

Hoping for the Best, Preparing for the Worst: Prepping, sculptural practice and the everyday crisis of insecurity
by: Day, Jessica Aileen
Published: (2022)

Testing advertising via new media: an exploratory study of advertising practitioner attitudes
by: Kerr, G., et al.
Published: (2009)

A new face recognition approach to boosting the worst-case performance
by: Chen, Fang, et al.
Published: (2008)

Advertising agency engagement and regulatory empowerment in the world of new media
by: Dickinson, Sonia, et al.
Published: (2008)

Evaluation of an instructional unit utilizing the worst case method in improving students' understanding of uncertainty analysis and propagation of error
by: Haugen, Paul Alan
Published: (2010)

The Worst-Case DFT Filter Bank Design with Sub-channel Variations
by: Jiang, L., et al.
Published: (2015)

A worst-case robust MMSE transceiver design for nonregenerative MIMO relaying
by: Shen, H., et al.
Published: (2014)

Worst-month rain fade statistics at 38 GHz
by: Ismail, Ahmad Fadzil, et al.
Published: (2011)

Worst-month statistics modeling based on measured data
by: Islam, Md. Rafiqul, et al.
Published: (2011)

Their Own Worst Enemies: Behavioural Finance and the Investments of Australian Households
by: Bebbington, Christopher Anthony
Published: (2024)

Efficiency in the Worst Production Situation Using Data Envelopment Analysis
by: Hossain, Md. Kamrul, et al.
Published: (2013)

Worst-month rain statistics for radiowave propagation study in Malaysia
by: Chebil , J., et al.
Published: (1999)

Worst-input mutation approach to web services vulnerability testing based on SOAP messages
by: Chen, Jinfu, et al.
Published: (2014)

Disparity between theory & practice beyond the worst-case competitive analysis
by: Iqbal, Javeria, et al.
Published: (2019)

Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks
by: Muftah, Shalghum Khaled
Published: (2022)

Analyses of worst month rain fade for ku band(26Ghz) in the tropics
by: Ismail, Ahmad Fadzil, et al.
Published: (2012)

Robust tracking error portfolio selection with worst-case downside risk measures
by: Ling, A., et al.
Published: (2014)

Gain-Scheduled Worst-Case Control on Nonlinear Stochastic Systems Subject to Actuator Saturation and Unknown Information
by: Shi, P., et al.
Published: (2013)

Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics
by: Ismail, Ahmad Fadzil, et al.
Published: (2012)

Coordinated charging of PEVs in unbalanced residential network based on worst node voltage profile
by: Moghbel, Moayed, et al.
Published: (2013)

A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study
by: Ho, K.M., et al.
Published: (2005)

Buy, boycott or blog: exploring online consumer power to share, discuss and distribute controversial advertising messages
by: Kerr, G., et al.
Published: (2012)

Preparing for the worst: Utilizing stress-tolerant soil microbial communities to aid ecological restoration in the Anthropocene
by: Valliere, Justin, et al.
Published: (2020)

On the relationship between the worst-case optimization-based and probability-constrained approaches to robust adaptive beamforming
by: Vorobyov, S., et al.
Published: (2007)

Using the Edinburgh Postnatal Depression Scale to achieve best practice standards
by: Downie, Jill, et al.
Published: (2003)

Native Apps versus Web Apps: which is best for healthcare applications?
by: Selvarajah, Kirusnapillai, et al.
Published: (2013)

Predicting advertising execution effectiveness: scale development and validation
by: Woodside, Arch
Published: (2016)

Advertising dislikeability in Asia: Is there a relationship with purchase intention and frequency?
by: Kim-Shyan, Fam, et al.
Published: (2013)

‘Like the worst toothache you’ve had’ – How people with rheumatoid arthritis describe and manage pain
by: Bergström, M., et al.
Published: (2017)

'Spread of toxic plant under control': agriculture dept: 'worst weed of the century' being held at bay by herbicides
by: Sukumaran, Tashny
Published: (2015)

Exploiting the Structure of OSTBC's to Improve the Robustness of Worst-Case Optimization Based Linear Multi-User MIMO Receivers
by: Rong, Yue, et al.
Published: (2005)

Robust Minimum Variance Adaptive Beamformers and Multiuser MIMO Receivers: From the Worst-Case to Probabilistically Constrained Designs
by: Vorobyov, S., et al.
Published: (2006)

How wrong can you be? Can a simple spreading formula be used to predict worst-case underwater sound levels?
by: Duncan, Alec, et al.
Published: (2011)

How wrong can you be? Can a simple spreading formula be used to predict worst-case underwater sound levels?
by: Duncan, Alexander, et al.
Published: (2011)