RLATE
Relational Language Training
Thank you for your interest in the Relational Language Assessment and Training Elements (RLATE)! The RLATE includes the Relational Language Assessment (RLA) and the Relational Language Training curriculum (RLT).
The following is a proposed training sequence for the RLATE. Hours may vary depending on the amount of practice and feedback you would like during training. The course is yours to curate according to the needs of your practice!
Please don’t hesitate to contact us if you have any questions or if you would like to discuss further.
Duration
20–30 hours (2 hours/session)
BACB CEUS available
Description
Train providers to implement relational language training programs. Sessions will cover the RFT research supporting relational language training as well as an overview of the RLATE curriculum. Practice and feedback opportunities will be available in each training session.
Training includes:
RLATE Training:
Introduction to the Relational Language Training (RLT) curriculum
Relational evaluation procedure (REP) and multiple exemplar instruction across learning modalities
Explicit instruction and frequency building
Differentially reinforcing derivation, complexity, flexibility, and coherence
Tracking emergent, generative language
Systematically training nonarbitrary relations:
Training nonarbitrary relations using multiple exemplars
Providing relational networks and questions that facilitate transitioning to arbitrary relational responding
Transitioning to arbitrarily derived relational responding
Identifying physical properties
Comparing relational networks across physical properties
Training arbitrary relations:
Directly trained and bidirectional responding
Directly trained and mutually entailed relations
Directly trained and mutually entailed relations + transformation of stimulus function (ToF)
Combinatorially entailed relations in linear relational networks
Combinatorially entailed relations in linear relational networks + ToF
Combinatorially entailed relations in nonlinear-same relational networks + ToF
Combinatorially entailed relations in nonlinear-mixed relational networks + ToF
Review and practice training nonarbitrary-to-arbitrary relational frames:
Coordination
Distinction
Non-Deictic Spatiality
Comparison
Hierarchy
Containment
Classification
Part-whole relations
Opposition
Temporality
Deictics
Spatial
Interpersonal
Temporal
Analogical
Training Listening and Reading Comprehension:
Temporality and functional sequencing
Conditional/causal relations
Derived ‘Wh’ questions
Part-whole relations
Identify key components of stories
Training Functions:
Fluent functions
Functions across context
Functions + sequencing
Different ways to…
Relate relational networks
Identifying relations
Compare function, feature, class
Flexible relations with two items
ToF + pictures
ToF w/o pictures
The RLT course will train providers to:
Implement RLT programs
Write goals for RLT programs
Set up standard celeration charts for relational programs
Measure progress
Troubleshoot potential training issues and barriers

