What is Cognitive Dissonance Theory? Banyan Massachusetts

Becoming aware of how conflicting beliefs impact the decision-making process is a great way to improve your ability to make faster and more accurate choices. Internal consistency reliability is a statistical method used to measure the consistency and reliability of tests or actual measurements in the research. It determines the degree of measurement error, which ensures that the test results are stable, consistent, trustworthy, and reliable. Two commonly used methods for testing internal consistency reliability are Cronbach’s Alpha coefficient (CA) and Construct reliability (CR).

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Therefore, many of the techniques discussed under relapse prevention that aim at modification of dysfunctional beliefs related to outcomes of substance use, coping or self-efficacy are relevant and overlapping. Other models of relapse prevention also draw upon the construct of self-efficacy34. Working with a variety of targets helps in generalization of gains, patients are helped in anticipating high risk situations33.

• These approaches have shown promise, and more recently the neurobiological underpinnings of mindfulness strategies have been studied.
• Relapse prevention (RP) is a cognitive behavioural treatment program, based on the relapse prevention model27,28.
• This emerging topic in addiction recovery underscores the profound influence of cognitive dissonance on mental health and emphasizes the need for tailored interventions.
• The size and significance of path coefficients are used to evaluate the relationship between research hypotheses.
• If there is a behavior you’re having trouble changing, the things you’re doing to reduce cognitive dissonance may be getting in your way.
• The relationship between self-efficacy and information overload has been extensively studied in prior research.

What Influences Cognitive Dissonance?

Each personality type may differ in regard to information processing and cognitive orientation [69], and such differences in cognition may influence an individual’s behavior [70], which includes addictive behaviors [71]. Furthermore, according to the I-PACE model, personality traits may influence addictive behaviors not only through emotions https://ecosoberhouse.com/ but also through cognition [30, 31]. Therefore, the present study suggests that metacognition of smartphone use may also be a mediating variable between Type D personality and smartphone addiction. This study investigated the mechanism behind the discontinuous usage intention of users of pan-entertainment mobile live broadcasts.

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One approach that has gained popularity for enhancing privacy protection is Federated Learning [102]. This technology employs a distributed machine learning approach, which assumes that users’ data is not stored on a centralized server but is instead kept confidential on the users’ edge devices, such as smartphones. By training the AI model on the user’s mobile device and transferring only information about the parameters obtained from the training back to a global cognitive dissonance addiction model, Federated Learning can significantly improve user privacy compared to traditional machine learning approaches. While data collection is a necessary aspect of AI-driven systems, it is equally important to implement technical measures to prevent unauthorized disclosure of personal information, thereby preserving the privacy of users. User addiction to the pan-entertainment mobile live broadcast platform has a positive influence on users’ cognitive dissonance.

• In utero exposure to tobacco byproducts has been linked to cognitive deficits in laboratory animals and human adolescents (Dwyer, Broide, and Leslie, 2008).
• This technology employs a distributed machine learning approach, which assumes that users’ data is not stored on a centralized server but is instead kept confidential on the users’ edge devices, such as smartphones.
• Sometimes, new information leads to cognitive dissonance, but that also allows you to take new actions you may not have thought about taking before.
• The α coefficient ranges from 0 to 1, with a value greater than 0.7 indicating that it is trustworthy and a value greater than 0.9 representing very high trustworthiness.
• Psychologist Kia-Rai Prewitt, PhD, explains how to manage this feeling of discomfort, what’s known as cognitive dissonance, and how it can affect your mental health and other relationships when left unchecked.
• Additionally, I maintain strong interaction and good relationships with my employees, which has proven successful toward accomplishing company goals.

Marikyan, Papagiannidis, and Alamanos [83] discovered a positive correlation between user addiction and cognitive dissonance, leading to discontinuous usage intention. Furthermore, we found that metacognitions about smartphone use mediated the relationship between Type D personality and smartphone addiction, confirming Hypothesis 3 and substantiating the argument of I-PACE model. This model suggests that cognitive factors influence addictive behavior, and metacognition plays a role in addictive behavior [58], providing further support for metacognitive models of psychopathology [57]. As previously mentioned, metacognition of smartphone use includes positive and negative metacognition. Our study revealed that negative metacognition played a more significant role in mediating the relationship between Type D personality and smartphone addiction, while positive metacognition did not have a significant mediating effect. Additionally, we found that individuals with Type D personality had significantly higher levels of negative metacognition of smartphone use compared with individuals with non-Type D personality.

• Dan is passionate about disrupting the current addiction treatment model in the USA and wants to see people overcome their addiction issues and not just remain sober, but thrive in life while living their passion.
• These platforms have become increasingly popular in recent years, providing users with a convenient and engaging way to access a wide range of entertainment content and interact with other users in real time [24].
• If a voluntary experience that has cost a lot of effort turns out badly, the dissonance is reduced by redefining the experience as interesting.

Drawing upon the above hypotheses, this study proposes a research model that encompasses the concepts of cognitive dissonance and self-efficacy to examine the discontinuous usage intention of users of pan-entertainment mobile live broadcast platforms. This model is constructed within the framework of the “cognition-emotion-behavior intention” and is depicted in Figure 1. Few studies have integrated the “cognition-emotion-behavior intention” framework and introduced self-efficacy in the theory of planned behavior to further enrich the cognitive and emotional dimensions from the level of the logic of internal factors. Lastly, platform supervisors should enhance regulation and management, establishing user hierarchy management, implementing and standardizing content review systems, and constructing an advanced content classification and identification system. Whether it is through platform or government regulation, users ultimately play an important role, and if users can consciously improve their own qualities, user management will be more effective with less effort.

Why Do People Experience Cognitive Dissonance in the Context of Addiction?