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The Effect of Information Quality Evaluation on Selective Exposure in Informational Cognitive Dissonance: The Role of Information Novelty Cover

The Effect of Information Quality Evaluation on Selective Exposure in Informational Cognitive Dissonance: The Role of Information Novelty

Open Access
|Jul 2018

Figures & Tables

irsp-31-173-g1.png
Figure 1

Mediation moderated model for the tobacco and alcohol (Pros and cons).

Table 1

Information evaluation depending behavior, means and standard deviations.

Themes
Tobacco M(SD)Alcohol M(SD)Electromagnetic waves M(SD)
ProConProConProCon
C3.53 (0.86)3.23 (1.08)3.32 (0.99)3.60 (0.94)
N.C.2.94 (0.80)3.47 (0.87)2.96 (0.78)3.62 (0.80)
Total3.13 (0.86)3.39 (0.94)3.16 (0.91)3.61 (0.87)3.06 (0.89)3.56 (0.88)

[i] C = alcohol consumers/smokers, N.C. = non consumers/non-smokers.

Table 2

Information novelty, means and standard deviations, all participants taken together.

Themes
Tobacco M(SD)Alcohol M(SD)Electromagnetic waves M(SD)
ProConProConProCon
3.37 (1.10)2.97 (1.20)3.18 (1.24)3.11 (1.15)3.05 (1.06)3.50 (1.09)
Table 3a

Descriptive statistics and correlations for the pro-tobacco texts.

Pro-tobacco texts
MinMaxMSD1.2.3.
1. Behavior
2. Evaluation14.863.130.86–.33**
3. Novelty153.441.18–.20.65**
4. Exposure153.231.43–.28*.23.08

[i] Note: The correlation is statistically significant for a threshold of *.05 and **.01.

Table 3b

Descriptive statistics and correlations for the con-tobacco text.

Con-tobacco text
MinMaxMSD1.2.3.
1. Behavior
2. Evaluation1.4353.390.940.12
3. Novelty152.881.24–0.070.46**
4. Exposure153.001.44–0.040.25*0.41*

[i] Note: The correlation is statistically significant for a threshold of *.05 and **.01.

Table 3c

Descriptive statistics and correlations for the pro-alcohol texts.

Pro-alcohol texts
MinMaxMSD1.2.3.
1. Behavior
2. Evaluation1.1453.160.91.20
3. Novelty153.181.24.06.55**
4. Exposure152.861.47.16.39**.58**

[i] Note: The correlation is statistically significant for a threshold of **.01.

Table 3d

Descriptive statistics and correlations for the con-alcohol texts.

Con-alcohol texts
MinMaxMSD1.2.3.
1. Behavior
2. Evaluation1.1453.610.87–.01
3. Novelty153.111.15.06.44**
4. Exposure152.871.38.03.40**.43**

[i] Note: The correlation is statistically significant for a threshold of **.01.

Table 3e

Descriptive statistics and correlations for the pro-waves texts.

Pro-electromagnetic waves texts
MinMaxMSD1.2.
1. Evaluation1.1453.060.89
2. Novelty153.051.06.59**
3. Exposure152.971.45.33**.25*

[i] Note: The correlation is statistically significant for a threshold of *.05. and of **.01.

Table 3f

Descriptive statistics and correlations for the con-electromagnetic waves texts.

Con-electromagnetic waves texts
MinMaxMSD1.2.
1. Evaluation1.2953.560.88
2. Novelty153.501.09.67**
3. Exposure153.101.43.39**.41**

[i] Note: The correlation is statistically significant for a threshold of **.01.

Table 4

Regression coefficients, standards errors and model summary information for moderated mediation pro-tobacco texts.

Pro-tobaccoEvaluationExposure to information
AntecedentCoeff.SEpCoeff.SEp
Smoking behavior (C)–0.600.21.007–0.570.37ns
Novelty (N)–0.040.19ns
Evaluation (E)0.470.26ns
Interaction (E*N)0.320.15.04
Constant1.000.37.0093.970.67<.001
R2 = .11
F(1, 66) = 7.88, p = .007
R2 = .17
F(4, 63) = 3.11, p = .02
irsp-31-173-g2.png
Figure 2

Conditional indirect effect of smoking behavior on selective exposure to pro-tobacco information.

Légende: * < 0.01, † ns, () simple effects.

irsp-31-173-g3.png
Figure 3

Interaction effect between information novelty and evaluation on selective exposure.

irsp-31-173-g4.png
Figure 4

Mediation moderated mode, indirect effect of attitude on exposure to information.

Table 5

Descriptive statistics and correlations all participants taken together.

MinMaxMSD1.2.3.4.
1. Age188140.2119.23
2. Attitude174.751.770.07
3. Evaluation174.401.53–.14.19
4. Novelty175.491.58–.24.26.21
5. Exposure175.751.66–.36**.37*.26.55**

[i] Note: the correlation is statistically significant for a threshold of **.01 and *.05.

Table 6

Regression coefficients, standard error, and model summary information (depicted in figure 5).

AntecedentsConséquents
EvaluationExposure to information
Coeff.SEpCoeff.SEp
Attitude (A)0.220.10.0270.250.10.013
Condition (C)1.300.32<.001
Interaction 1 (A*C)0.800.19<.001
Evaluation (E)0.140.11ns
Novelty (N)0.310.11.008
Interaction 2 (E*N)–0.190.06.003
Age–0.020.01.037
Constant–0.110.16ns6.610.38<.001
R2 = .42
F(3, 53) = 12.62, p < .001
R2 = .53
F(5, 51) = 11.31, p < .001
irsp-31-173-g5.png
Figure 5

Conditional indirect effect of attitude toward GMOs on selective exposure to information.

Legend: *** < .001, ** < .01, * < .05, () simple effects.

irsp-31-173-g6.png
Figure 6

Interaction effect between attitude toward GMOs and experimental condition on information evaluation.

irsp-31-173-g7.png
Figure 7

Interaction effect between information evaluation and information novelty on selective exposure.

DOI: https://doi.org/10.5334/irsp.173 | Journal eISSN: 2397-8570
Language: English
Published on: Jul 9, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Brigitte Bardin, Pauline Vidal, Léo Facca, Rafaele Dumas, Stéphane Perrissol, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.