The Relationship of Likeability, Believability, and Deceptiveness: A Study on the Cognitive Foundation of Voters' Choice

Authors

  • Lester Ian Mendenilla
  • John Lester Cruz

Keywords:

voters, election, Filipino, politics, political communication

Abstract

Every Citizen has the right and privilege to vote regardless of their economic status. Elections are crucial in developing countries because the selection of leaders entails a lot of consequences. A leader who is Likeable, Believable and who holds a great deal of integrity is elusive. This study was done by the researchers to examine the relationship of Likeability, Believability and Deceptiveness as the voters' cognitive foundation in voting. This study used the Generalized Belief Measure (GBM; McCroskey and Richmond,1989) to collect the necessary data. The GBM was used to measure perceptions of both Likeability and Believability. GBM was also used to assess the participant's perception of the political figure's Deceptiveness. The Instrument used was Bipolar Scales, one of the oldest methods of measurements, to establish the concept that is opposite of one another, with degrees or steps between extreme poles. Base on our Gathered Data, The Most Likeable among the 5Political Figure is Pia Cayetano while Grace Poe is the most Believable and the most Deceiving. Also, after computing for the Correlation of the Three Variables, we discovered that the Three has no significant relationship with each other.1. There is no significant relationship between likeability, believability and deceptiveness in the voters’ perception about voting. 2. The pairing result of Likeability, Believability and Deceptiveness do not show any significant changes. 3. Each variable does not relate anything at all. 4. The result shows that the selection of political figure does not pend on his/her Likeability, Believability and Deceptiveness. 5. Believability does not predict Likeability and Deceptiveness. Likeability does not predict Believability and Deceptiveness. Deceptiveness does not predict Likeability and Believability.

Published

2019-12-18