Purpose of the Tool

The Oral and Written Scene Description Test (ΤΠΓΠΣ) has been designed to assess the ability of temporal sequencing, oral and written expression, as well as language skills in children aged 6–12 years. It is intended for professionals such as speech therapists, educators, and psychologists. The main evaluation objectives include temporal sequencing, lexical richness, syntactic accuracy, and descriptive ability.

Development and Structure of the Tool

Creators
The tool was developed by the research team of M. Maniou-Vakali and collaborators (P. Pita, K. Rammidis, A. Papadopoulou, G. Kioseoglou) in 2015, within the framework of the Operational Education Program.
Structure
The ΤΠΓΠΣ consists of two illustrated scenarios: one with the theme of a restaurant (4 scenes) and one with the theme of a children’s quarrel (6 scenes). Each scenario includes three assessment components: sequencing of scenes, oral description, and written description.

Scoring System

Scoring in the ΤΠΓΠΣ is based on three main dimensions. For scene sequencing, 1 point is awarded per correct order, with a maximum of 4 or 6 points depending on the scenario. Language assessment includes measuring lexical richness (number of words), quality of description (scale 0–2), and syntactic accuracy (scale 0–3). The total score per scenario can reach up to 15 points.

Psychometric Characteristics

The ΤΠΓΠΣ demonstrates high reliability, with inter-rater agreement (κ = 0.85) and test-retest reliability (r = 0.82 over a 4-week interval). Its validity is confirmed through its correlation with the TOLD-P:4 (r = 0.78) and through approval by five experts regarding its content validity.

Administration Guidelines

For the administration of the ΤΠΓΠΣ, scene cards and a recording sheet are required. The evaluation time is 15–20 minutes per scenario. Scoring should be carried out based on the standardized scale provided.

References

The references include research by the creators’ team (Maniou-Vakali and collaborators, 2015) as well as international studies such as Bishop (2017). For further information regarding data analysis, you may contact the Datanalysis team.