Validation Studies

The Matching Person and Technology Model and accompanying assessments have been found to have very good psychometric properties and have been validated by a number of studies. They have been translated into eight languages. Several derivative measures have been developed.

Examples of Validation Studies of the Assessments Published Since 2007: Articles in English (excludes dissertations and theses)

Limosani, R., Esposito, R., Manzi, A., Teti, G., Cavallo, F., & Dario, P. (2018). Robotic delivery service in combined outdoor–indoor environments: technical analysis and user evaluation. Robotics and Autonomous Systems, 103, 56-67.

Pousada, T., Groba, B., Nieto-Riveiro, L., Pazos, A., Díez, E., & Pereira, J. (2018). Determining the burden of the family caregivers of people with neuromuscular diseases who use a wheelchair. Medicine, 97(24), e11039.

Hughes‐Roberts, T., Brown, D., Standen, P., Desideri, L., Negrini, M., Rouame, A., ... & Hasson, C. (2018). Examining engagement and achievement in learners with individual needs through robotic‐based teaching sessions. British Journal of Educational Technology.

Koumpouros, Y., Papageorgiou, E., Karavasili, A., & Alexopoulou, D. (2017). Translation and validation of the assistive technology device predisposition assessment in Greek in order to assess satisfaction with use of the selected assistive device. Disability and Rehabilitation: Assistive Technology, 12(5), 535-542.

Koumpouros, Y., Karavasili, A., Efthimiou, E., Fotinea, S. E., Goulas, T., & Vacalopoulou, A. (2017). User Evaluation of the MOBOT rollator type robotic mobility assistive device. Technologies, 5(4), 73.

Chan, C. W., Miller, W. C., Querée, M., Noonan, V. K., Wolfe, D. L., & SCIRE Research Team. (2017). The development of an outcome measures toolkit for spinal cord injury rehabilitation: Création d’une trousse de mesures des résultats pour la réadaptation des personnes ayant subi une lésion de la moelle épinière. Canadian Journal of Occupational Therapy, 84(2), 119-129. The final toolkit consisting of 33 measures can be accessed at:

Wynne, R., McAnaney, D., MacKeogh, T., Stapleton, P., Delaney, S., Dowling, N. and Jeffares, I. (2016). Assistive Technology/Equipment in Supporting the Education of Children with Special Educational Needs – What Works Best? National Council for Special Education (Ireland) Research Report No, 22.

Powell, L. E., Wallace, T., & Wild, M. R. (2013). Training-the-Trainer on assistive technology for cognition (ATC): Current practices. Perspectives on Neurophysiology and Neurogenic Speech and Language Disorders, 23(2), 90-94. Toolkit available at:

Vrkljan, B. H. (2009). Constructing a Mixed Methods Design to Explore the Older Driver—Copilot Relationship. Journal of Mixed Methods Research, 3(4), 371-385.

Johnson, J. M., Inglebret, E., Jones, C., & Ray, J. (2006). Perspectives of speech language pathologists regarding success versus abandonment of AAC. Augmentative and Alternative Communication, 22(2), 85-99.

Examples of Validation Studies of the MPT Model (English only)

van Niekerk K, Dada S & Tönsing K. (2019). Influences on selection of assistive technology for young children in South Africa: perspectives from rehabilitation professionals, Disability and Rehabilitation, 41:8, 912-925, DOI: 10.1080/09638288.2017.1416500.

van Niekerk K, Dada S, Tönsing K & Boshoff K. (2018) Factors Perceived by Rehabilitation Professionals to Influence the Provision of Assistive Technology to Children: A Systematic Review, Physical & Occupational Therapy In Pediatrics, 38:2, 168-189, DOI: 10.1080/01942638.2017.1337661.

Minton D, Elias E, Rumrill P, Hendricks DJ, Jacobs K, Leopold A, Nardone A, Sampson E, Scherer M. (2017). Project career: an individualized postsecondary approach to promoting independence, functioning, and employment success among students with traumatic brain injuries. Work, 58/1, 35-43. doi: 10.3233/WOR-172598.

Hendricks, D.J., Sampson, E., Rumrill, P., Leopold, A., Elias, E., Jacobs, K., Nardone, A., Scherer, M., and Stauffer, C. (2015). Activities and interim outcomes of a multi-site development project to promote cognitive support technology use and employment success among postsecondary students with traumatic brain injuries. NeuroRehabilitation. 37(3), 449-458. PMID: 26484525.

Fleeman JA, Stavisky C, Carson S, Dukelow N, Maier S, Coles H, Wager J, Rice J, Essaff D, Scherer M. (2015). Integrating cognitive rehabilitation: A preliminary program description and theoretical review of an interdisciplinary cognitive rehabilitation program. NeuroRehabilitation. 37(3), 471-486. PMID: 26518536.

Federici S, Corradi F, Meloni F, Borsci S, Mele ML, Dandini de Sylva S & Scherer MJ. (2015). Successful Assistive Technology Service Delivery Outcomes from Applying a Person-Centered Systematic Assessment Process: A Case Study. Life Span Disab, 18(1), 41-74.

Chen, K., & Chan, A. H. S. (2013). Use or non-use of gerontechnology—A qualitative study. International journal of environmental research and public health, 10(10), 4645.

Steel E, Gelderblom GJ & de Witte LP. (2011). Development of an AT selection tool using the ICF model. Technology and Disabilit, 23, 1–6.

Bernd, T., Van Der Pijl, D. and De Witte, L. P.(2009)'Existing models and instruments for the selection of assistive technology in rehabilitation practice', Scandinavian Journal of Occupational Therapy,16:3,146-158.

More examples can be found in the text:

Federici, S. & Scherer, M.J. (Eds.). (2018). Assistive Technology Assessment Handbook, Second Edition. Boca Raton, FL: CRC Press.


Zapf, SA, Scherer, MJ, Baxter, MF & Rintala, DH. (2016) Validating a measure to assess factors that affect assistive technology use by students with disabilities in elementary and secondary education, Disability and Rehabilitation: Assistive Technology, 11(1), 38-49. PMID: 26696460.

Craddock, G. (2006). The AT continuum in education: Novice to power user. Disability and rehabilitation: Assistive technology, 1(1-2), 17-27.

Zapf, S.A.& Rough, R.B. (2002). The development of an instrument to match individuals with disabilities and service animals. Disability and Rehabilitation, 24(1-3), 47-58.


Brazilian Portuguese:

Ana Carla Braccialli, Rita de Cássia Tibério Araújo & Marcia Scherer (2019) Translation and cross-cultural adaptation of the Educational Technology Device Predisposition Assessment into Brazilian–Portuguese language, Disability and Rehabilitation. DOI: 10.1080/09638288.2019.1624839 Available online at:

LMP Braccialli, GB Rabadan, MG Malheiros, M Scherer. (2019). Adaptação transcultural para uso no Brasil do Instrumento Survey of Technology Use (SOTU Br). Revista Educação Especial, 32, 2019. Available at:

Alves AC, Matsukura TS, Scherer MJ. (2017). Cross-cultural adaptation of the assistive technology device - Predisposition assessment (ATD PA) for use in Brazil (ATD PA Br). Disability and Rehabilitation: Assistive Technology, 12(2), 160-164. PMID: 27882819.

Cândido MCS, Alves ACJ. Indicação e implementação de dispositivos de tecnologia assistiva a partir do uso do modelo teórico “Matching Person Technology (MPT)” [Indication and implementation of technology devices assistive from the use of the theoretical model “Matching Person Technology (MPT)”].. Rev Ter Ocup Univ São Paulo. 2018 maio-ago.;29(2):155-63.

Alves ACJ, Fachin-Martins E. Reliability of assistive technology device – predisposition assessment (ATD PA Br) in Brazilian portuguese. Rev Ter Ocup Univ São Paulo. 2018 May-Aug.; 29(2): 144-54.


Bruckmann, N., Cordes, A., Cam, L. L., Paland, S., Schlegel, J., & Signoroni, J. (2014). MPT & ATD PA: Matching Person and Technology Model (MPT-Modell) und Assistive Technology Device Predisposition Assessment (ATD PA)-Ein klientenzentrierter Wegweiser für die Hilfsmittelberatung und-Versorgung in Deutschland. Schulz-Kirchner Verlag GmbH. German.

Keller, S. (2019). Damit Alltagshilfen passen – Modell für die Hilfsmittelversorgung (So that everyday aids fit - model for the aid supply. Ergopraxis, 12(03): 18-23 DOI: 10.1055/a-0800-2231.


Koumpouros, Y., Papageorgiou, E., Karavasili, A., & Alexopoulou, D. (2017). Translation and validation of the assistive technology device predisposition assessment in Greek in order to assess satisfaction with use of the selected assistive device. Disability and Rehabilitation: Assistive Technology, 12(5), 535-542.


Matching Person & Technology, SIVA Portal:

Federicl, S., Corradi, f., Lo Presti A., & Scherer, M J (2009). Technology and CHild (MATCH) Measure (pp.562-566).. In PL Emiliani et al. (Eds.) Assistive Technology from Adapted Equipment to Inclusive Environments, lOS Press.


Lee, Young - Hwan, Lee, Hye - kyung, & Lee, Jin - Hyun. (2014). Development of Assistive Technology Device Predisposition Assessment . Basic Task Report, 1-152].

Spanish (Spain):

Pousada, T. (2011). Impacto psicosocial de la silla de ruedas en la vida de las personas afectadas por una enfermedad neuromuscular.

The Matching Person and Technology portfolio of assessments has also been translated into French and Hungarian.

You can read about earlier validation studies and the reliability and validity of the measures in this document. (Click here to download)


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