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

• 6–10 hours (2 hours/session)

• BACB CEUS available

Description

The Relational Language Assessment (RLA) is a research-based instrument designed to evaluate relational framing across a range of relational frames, including coordination, distinction, comparison, opposition, spatiality, temporality, containment, hierarchy (including classification), deictics, and analogy. The RLA also assesses relational derivation, flexibility, coherence, and complexity within and across larger relational networks, as reflected in the Relate Relational Networks and Comprehension subtests.

The RLA measures progressively increasing levels of relational responding, ranging from nonarbitrary to arbitrary relations, including mutual entailment, combinatorial entailment, and the transformation of stimulus functions within and across frames. This functionally specified approach to relational language supports the development of generative language, as well as greater flexibility, complexity, and coherence in relational responding.

The Relational Language Assessment (RLA) includes 15 testing domains:

Rapid Automatic Naming

• Color Names

• Shape Names

• Picture Names

Bidirectional Responding

• Bidirectional Responding (stimulus equivalence)

 Nonarbitrary Features

• Physical Features: Shapes

• Physical Features: Common Items

• Non-Deictic Spatial Relations

Coordination & Distinction

• Nonarbitrary Same vs. Different

• Arbitrary DT & ME + ToF

• Arbitrary CE + ToF; Linear & Nonlinear

• Arbitrary CE + ToF; Linear & Nonlinear + Unknown Relations

Compare Relational Networks

• Compare Shapes

• Compare Common Items

Comparison

• Nonarbitrary Bigger/Smaller

• Nonarbitrary More/Less

• Arbitrary DT & ME + ToF

• Arbitrary CE + ToF; Linear

• Arbitrary CE + ToF; Nonlinear + Unknown Relations

Containment

• Nonarbitrary Containment

• Arbitrary DT & ME

• Arbitrary CE; Linear

Classification & Part-Whole Relations

• RAN Categories

• Free-Say Members Within Class

• Classification: Three Boxes + Pictures

• Part-Whole Relations

Opposition

• Nonarbitrary Opposition

• Arbitrary DT & ME + ToF

• ArbitraryCE + ToF; Linear

Temporality

• Nonarbitrary Temporality

• Arb DT & ME +ToF

• Arb CE + ToF; Linear

• Do X Before/After Y

• Socio-Verbal Temporal Relations

Comprehension

• Sequencing: Do it Backwards

• Conditional/Causal: What Caused it? + Pictures

• Conditional/Causal Relations

• Derived InformationQuestions

• Listening Comprehension: Short Story Retell

Functions

• Fluent Functions

• Functions Across Contexts

• Different ways to…

Relate Relational Networks

• Compare Function, Feature, Class

• Flexible Relations with Two Items

• ToF + Pictures

• ToF w/o Pictures

Deictic Relations

• Spatial: Here/There + One Reversal

• Interpersonal: I/You + One Reversal

• Temporal: Now/Then + One Reversal

• Mixed Deictics + Double Reversal

• Mixed + Preferences + Double Reversal

Analogy (Relating Relations)

• Nonarbitrary Analogy

• Arbitrary DT & ME

• Arbitrary CE

• Verbal Analogies A : B :: C : D

The RLA course will train providers to:

1. Administer the RLA: RLA practice and feedback opportunities during training sessions

2. Input RLA data and create assessment tables and graphs

3. Select target training programs based on assessment data

4. Create a final assessment report with data tables, graphs, and recommendations