Description of the Intimate Bond Measure (IBM) [AQ-24]


The Intimate Bond Measure (IBM) is a tool used to assess the quality of close relationships between individuals. It was designed to measure the sense of connection and intimacy in close relationships, such as those found in romantic partnerships, friendships, or family ties.
The AQ-24 is a brief version of the IBM, consisting of 24 questions that cover various aspects of emotional and psychological bonds connecting individuals. The AQ-24 focuses on measuring two main dimensions:

  1. Emotional Commitment: This dimension refers to the level of dedication and emotional investment that participants feel towards their relationship.
  2. Emotional Support: This dimension assesses how supportive and encouraging the relationship is for its members.
    Data Analysis and Usage
    The analysis of data obtained from the AQ-24 typically involves using statistical methods to evaluate levels of commitment and support within relationships. The AQ-24 questions are usually rated using a Likert scale, where participants rate statements on a scale, for example, from 1 (strongly disagree) to 5 (strongly agree).
    After collecting the data, researchers usually calculate overall scores for each dimension and use statistical tools such as descriptive statistics, correlations, and factor analyses to better understand trends and relationships in the data.
    Purpose
    The primary goal of using the AQ-24 is to provide a quantitative measure of the quality of close relationships, allowing for an understanding of how relationships impact mental well-being and overall life satisfaction. The results can be used to identify areas needing improvement or to gain a better understanding of the factors contributing to the creation and maintenance of healthy relationships.
    Calibration
    The calibration of the AQ-24 typically involves ensuring that the tool has the necessary validity and reliability. This includes evaluating the internal consistency of the scale, the reproducibility of results, and the comparative validity with other measures of relationship quality. Methods such as factor analysis and internal consistency assessments (e.g., Cronbach’s alpha) are often used to confirm the accuracy and stability of the tool.
    Bibliography
    For references related to the IBM and AQ-24, you can look into studies and articles that have utilized or validated this tool. Some classic references include:
    • Sullivan, H. S. (1953). “The Interpersonal Theory of Psychiatry.” Norton & Company.
    • Berscheid, E., & Reis, H. T. (1998). “Attraction and close relationships.” In Handbook of Social Psychology (Vol. 2, pp. 193-281). McGraw-Hill.
    • Clark, M. S., & Mills, J. (1993). “The difference between communal and exchange relationships: What it is and is not.” Personality and Social Psychology Bulletin, 19(6), 684-691.