How to Measure Persuasion Knowledge
By Chang-Dae Ham, Michelle R. Nelson, S. Das. 2015
210 citations recorded by the source corpus.
Subfields: Literature and Literary Theory, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/502b59a8d3740d8958d89f4390e2494221e50838
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Literature and Literary Theory
- Bartosz W. Wojdynski
- Nathaniel J. Evans
- E. V. van Reijmersdal
- Sophie C. Boerman
- Brigitte Naderer
- Mariea Grubbs Hoy
- Esther Rozendaal
- Alexandra Dima
In Marketing
- Bartosz W. Wojdynski
- Nathaniel J. Evans
- Sophie C. Boerman
- E. V. van Reijmersdal
- Mariea Grubbs Hoy
- Brigitte Naderer
- Jörg Matthes
- Seunghyun Kim
In Sociology and Political Science
- Bartosz W. Wojdynski
- Nathaniel J. Evans
- Sophie C. Boerman
- Mariea Grubbs Hoy
- E. V. van Reijmersdal
- Seounmi Youn
- Seunghyun Kim
- C. Childers
Citations in the corpus
- “This Post is Sponsored” Effects of Sponsorship Disclosure on Persuasion Knowledge and Electronic Word of Mouth in the Context of Facebook (2017, methodology): “Similar one-item measures have been used in earlier studies to estimate consumers' ability to recognize advertising (Boerman, Van Reijmersdal, and Neijens 2012; Ham, Nelson, and Das 2015).”
- Newsfeed native advertising on Facebook: young millennials’ knowledge, pet peeves, reactance and ad avoidance (2019, background): “The PKM offers a valuable framework for explaining how consumers assess, react to and cope with persuasive attempts (Friestad and Wright 1994; Ham et al. 2015).”
- Development of the Persuasion Knowledge Scales of Sponsored Content (PKS-SC) (2018, methodology): “The extensive review of research by Ham, Nelson, and Das (2015) adds to these insights on the conceptualization of persuasion knowledge by showing that in the advertising literature, persuasion knowledge has been conceptualized, operationalized, and measured in various ways.”
- The Covert Advertising Recognition and Effects (CARE) model: Processes of persuasion in native advertising and other masked formats (2020, background): “To date, a variety of measures have been used to measure advertising recognition (Tutaj and van Reijmersdal 2012; Wojdynski and Evans 2016) or overlapping concepts such as state conceptual persuasion knowledge (Boerman, van Reijmersdal, Rozendaal and Dima 2018; Ham et al. 2015).”
- Parenting “YouTube Natives”: The Impact of Pre-Roll Advertising and Text Disclosures on Parental Responses to Sponsored Child Influencer Videos (2018, background): “…to rate their agreement with “I thought that the YouTube video was advertising” on a 1 (Strongly disagree) to 7 (Strongly agree) scale (M¼ 5.93, SD¼ 1.21) (see Boerman, van Reijmersdal, and Neijens 2012, 2015; Boerman, Willemsen, and Van Der Aa 2017; Evans et al. 2017; Ham, Nelson, and Das 2015).”
- Product placement disclosures: Exploring the moderating effect of placement frequency on brand responses via persuasion knowledge (2016, background): “The primary goal of placement disclosures is to discourage deception by activating ‘persuasion knowledge’ (Cain 2011; Ham, Nelson, and Das 2015; Tessitore and Geuens 2013), which refers to consumers’ understanding of persuasion tactics and their knowledge of how to cope with persuasive attempts…”