Sentence examples for relational assessment from inspiring English sources

Tutors trained in applied behaviour analysis (n = 16) and mainstream school teachers (n = 16) were exposed to an Implicit Relational Assessment Procedure (IRAP) designed to assess implicit attitudes towards individuals with autism versus normally developing individuals.

The Implicit Relational Assessment Procedure (IRAP) has been used to assess the probability of arbitrarily applicable relational responding or as an indirect measure of implicit attitudes.

Two implicit measures, the Implicit Relational Assessment Procedure (IRAP) and the Implicit Association Test (IAT), were compared to assess attitudes towards women and science-based versus liberal arts college subjects.

Over the past 10 years, the theory has served to generate the development of a measure, known as the Implicit Relational Assessment Procedure, which was designed initially to provide a metric of the strength or persistence of relational responding.

The Implicit Relational Assessment Procedure (IRAP), a non-relative measure, was compared with the IAT which allowed us to probe this difference further among STEM and non-STEM students.

The Implicit Relational Assessment Procedure (IRAP) was utilized as a means of interpreting disgust in terms of the six domains of Obsessive-Compulsive Disorder as defined by the Obsessive Compulsive Cognitions Working Group; excessive responsibility, overestimation of threat, perfectionism, intolerance for uncertainty, over importance of thoughts and need to control thoughts.

These studies reveal key ways in which personal and relational assessments can differ.

In addition, students' scores on the relational thinking assessment improved immediately following the mental mathematics intervention.

Nurses in this study chose to adopt a more relational approach to assessment where they monitor for social cues and recognise the importance of building a relationship with families and that it is on the basis of this relationship that they are able to effectively assess the needs of women.

Grey evaluation applies grey relational analysis (GRA) to assessment modeling with incomplete data (Zheng and Hu 2009).

Such fidelity measures may include an assessment of relational behaviors or characteristics that are essential for facilitating training success (e.g., warmth, engagement, sensitivity; Gearing et al. 2011).