Instrument Description
The Psychological Attachment Instrument (PAI-12) is a psychometric scale designed to assess an individual’s psychological attachment in significant relationships, such as with parents, friends, or a partner. The scale consists of 12 items that examine key dimensions of attachment, such as security, trust, and emotional availability. Participants respond to each item using a Likert scale, ranging from “Not at all” to “Very much.”
Data Analysis and Use
Data analysis of the PAI-12 involves calculating scores for each attachment dimension as well as an overall score. These scores are used to assess the quality and security of an individual’s relationships and how these influence psychological well-being and adaptability. This tool is used in both clinical and research settings to study attachment dynamics and their effects on mental health.
Objective
The objective of the PAI-12 is to provide a reliable and valid measure for assessing psychological attachment in significant relationships. This tool helps researchers and clinical psychologists better understand the importance of interpersonal relationships in the development and maintenance of psychological well-being.
Calibration
Calibration of the PAI-12 is carried out using data from representative samples to ensure the scale’s reliability and validity. Calibration involves testing the internal consistency of the scale and comparing the results with other related attachment scales.
Bibliography
Meyer, J. P., & Allen, N. J. (1991). A Three-Component Conceptualization of Organizational Commitment. Human Resource Management Review, 1(1), 61-89.
O’Reilly, C. A., & Chatman, J. (1986). Organizational Commitment and Psychological Attachment: The Effects of Compliance, Identification, and Internalization on Prosocial Behavior. Journal of Applied Psychology, 71(3), 492-499.
Jaros, S. J., Jermier, J. M., Koehler, J. W., & Sincich, T. (1993). Effects of Continuance, Affective, and Moral Commitment on the Withdrawal Process: An Evaluation of Eight Structural Equation Models. Academy of Management Journal, 36(5), 951-995.