University of Groningen
Native Advertising: Effective, Deceptive, or Both?
Harms, Bianca
DOI:
10.33612/diss.162005726
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Publication date: 2021
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Harms, B. (2021). Native Advertising: Effective, Deceptive, or Both?. University of Groningen, SOM research school. https://doi.org/10.33612/diss.162005726
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⎪Appendices 112
Appendices to chapter 3 A: Stimuli of study Banner advertisements:
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⎪Appendices 114
B: Items and scales
C-1: Significance of direct relation between advertising type and brand effects
Endogenous construct R2 Q2 Brand effect 0.003 0.002 Relation Path coefficient p-value Bias-corrected 95% confidence interval
Ad Type: native vs. banner 0.054 0.008 [ 0.019; 0.095]
Notes: Although the R2 of 0.003 shows a weak coefficient of determination (Hair et al. 2014), the effect is significant. The predictive relevance is assessed with Stone-Geisser’s predictive relevance (Q2), derived from the blindfolding procedure in SmartPLS. Since the value of Q2 is greater than zero, the model has predictive relevance.
Construct Measurements
Indicate how you rate the following statements with regard to this advertisement (5-point Likert scale, 1 = strongly disagree to 5 = strongly agree):
Ad attitude Ad attitude 1 Amusing Ad attitude 2 Nice Ad attitude 3 Attractive Ad credibility Ad credibility 1 Believable
Ad credibility 2 Convincing
Indicate to what extent you agree with the following statements (5-point Likert scale, 1 = strongly disagree to 5 = strongly agree):
Understanding of message intent
INT 1 Selling intent: the aim of this banner/text is to sell products/services
INT 2 Persuasive intent: the aim of this banner/text is to influence your opinion
INT 3 Informational intent: the aim of this banner/text is to give information about the products/services
Indicate to what extent you agree with the following statements (5-point Likert scale, 1 = strongly disagree to 5 = strongly agree): Through this advertisement, I… Brand effect: brand
interest & purchase intention
E1 Am more interested in the brand E2 Plan to buy.. (brand)
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C-2: Significance of direct relation between understanding of message intent and brand effects
Endogenous construct R2 Q2 Brand effect 0.171 0.146 Relation Path Coefficient p-value Bias-Corrected 95% Confidence Interval
Ad Type: native vs. banner 0.414 0.000 [ 0.374;0.453]
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⎪Appendices 116
Appendices to chapter 4
D: Sample distribution per experimental condition
Age Control Spoken Written
Written and Spoken Total 8 18 21 19 10 68 9 21 24 13 21 79 10 14 16 11 18 59 11 19 17 18 18 72 12 22 14 25 17 78 13 14 18 13 20 65 14 9 11 24 19 63 15 8 20 15 13 56 16 18 20 18 13 69 Total 161 143 156 149 609 E: Links to conditions 1) Written disclosure: https://www.youtube.com/watch?v=HsgRQOrLq-k&feature=youtu.be 2) Spoken disclosure: https://www.youtube.com/watch?v=tNCuV_wSoEI&feature=youtu.be
3) Written + Spoken disclosure:
https://youtu.be/wXyOgexgt_4
4) No disclosure:
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F: Contingency table manipulation check
Control Spoken Written Written and
Spoken This is always the case in these types of
vlogs
59 (44.7%) 32 (27.6%) 46 (36.2%) 36 (29%)
This information was mentioned verbally in the video
13 (9.8%) 39 (33.6%) 12 (9.4%) 25 (20.2%)
This information was in text on screen 8 (6.1%) 10 (8.6%) 20 (15.7%) 11 (8.9%)
This information was both in text and mentioned verbally
23 (17.4%) 23 (19.8%) 26 (20.5%) 40 (32.3%)
None of these reasons 12 (9.1%) 2 (1.7%) 5 (3.9%) 5 (4.0%)
I don’t know 17 (12.9%) 10 (8.6%) 18 (14.2%) 7 (5.6%)
G: Fornell-Larcker Criterion
Act. Mediation Brand
Effect Res. Mediation Attitude Vlogger
Attitude Video Act. Mediation. 0.874 Brand Effect 0.091 0.876 Res. Mediation. 0.426 0.065 0.876 Attitude Vlogger 0.033 −0.573 0.017 0.818 Attitude Video 0.046 0.649 0.014 −0.687 0.910
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