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Original Research

How Everyday Counterfeit Behavior That Disrupts Self Authenticity Might Lead to Corruption Tendencies

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Pages 637-663 | Published online: 14 Mar 2022

Figures & data

Figure 1 Hypothetical model: Study 1 and Study 2.

Abbreviations: CB, counterfeit behavior measured by its tendency; H, hypothesis.
Figure 1 Hypothetical model: Study 1 and Study 2.

Table 1 Reliability and Validity Indices of Study 1ʹs Instrument

Table 2 Reliability and Validity Indices of Study 2ʹs Instrument

Table 3 Descriptive Statistics

Table 4 Pearson Correlation Between Inauthenticity/Counterfeit Self, Moral Disengagement, and Proneness to Various Moral Emotions (N = 978)

Table 5 Mediation Analysis Showing Indirect Prediction of Inauthenticity/Counterfeit Self Towards Proneness to Various Moral Emotions Through Moral Disengagement (N = 978)

Figure 2 Visualization of mediation analysis results predicting moral emotions (N = 978).

Notes: Shame-Withdrawal is eliminated from this model because the Shame-WIT scale is unreliable (Cronbach’s α < 0.600). This is the data analysis output from the free and open-source JASP software.
Abbreviations: INA, inauthenticity/counterfeit self; MOR, moral disengagement (MD); Guilt-N, guilt-negative behavior evaluation (Guilt-NBE); Guilt-R, guilt-repair (Guilt-REP); SHA, shame-negative self evaluation (Shame-NSE)
Figure 2 Visualization of mediation analysis results predicting moral emotions (N = 978).

Table 6 Simple Linear Regressions Predicting Inauthenticity/Counterfeit Self