Veri seti Açık Erişim

Deenz Avoidant Personality Scale Dataset

2025    Deen Mohd Dar

Deenz Avoidant Personality Scale (DAPS-24) dataset comprises responses from 43 participants who completed the scale as part of a study on avoidant personality traits. The DAPS-24 is a psychometrically validated instrument designed to assess six key dimensions of avoidant personality: social inhibition, feelings of inadequacy, hypersensitivity to criticism, preoccupation with criticism, limited social circle, and longing for social connection. The scale captures varying levels of avoidant tendencies in both clinical and non-clinical populations, allowing for a nuanced understanding of how these traits manifest and impact interpersonal relationships and psychological well-being.

Dataset Details

The dataset includes self-reported responses collected through a 24-item Likert scale, where participants rated statements from 1 (Strongly Disagree) to 5 (Strongly Agree). The dataset consists of 43 unique participants aged between 19 and 48, representing a diverse range of individuals with varying degrees of avoidant personality traits. Each participant's responses are recorded across six core dimensions, with corresponding scores that reflect their level of social withdrawal, sensitivity to negative evaluation, and interpersonal difficulties.

In addition to responses on the avoidant personality dimensions, the dataset includes demographic variables such as age and gender, allowing researchers to explore potential correlations between demographic factors and avoidant personality traits. The dataset is available in CSV format, structured to facilitate statistical analysis and validation of the scale’s psychometric properties. Given the scale's multidimensional nature, the dataset can be used to analyze individual differences in avoidant tendencies, identify patterns of social withdrawal, and examine how different facets of avoidance interact with one another.

Usage and Purpose

This dataset serves as a valuable resource for researchers, clinicians, and mental health professionals studying avoidant personality traits and their broader implications. It provides a foundation for exploratory analysis, validation studies, and further refinement of the DAPS-24 as a diagnostic and assessment tool. By analyzing this dataset, researchers can gain deeper insights into the underlying structure of avoidant personality traits, assess the scale's reliability and validity across different populations, and explore potential interventions for individuals exhibiting high levels of avoidance. The dataset may also be used in clinical settings to refine treatment approaches, particularly in cognitive-behavioral therapy (CBT) and other interventions aimed at improving social functioning and reducing avoidance-related distress.

 Additionally, the DAPS-24 is available in a computerized format with automatic scoring and visual feedback for enhanced assessment: https://drdeenz.com/avoidant-personality-disorder-test/.