Developing Verb Picture Naming Test for Persian adults and determining its psychometric properties
| Autor: | Shohreh Jalaie, Mahdi Dastjerdi Kazemi, Azar Mehri, Maryam Namdar Khatibani |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
Psychometrics Intraclass correlation media_common.quotation_subject Verb Standardized test computer.software_genre Developmental and Educational Psychology Content validity Humans Names Language Face validity media_common business.industry Reproducibility of Results Agreement Test (assessment) Cross-Sectional Studies Neuropsychology and Physiological Psychology Age of Acquisition Artificial intelligence business Psychology computer Natural language processing |
| Zdroj: | Applied Neuropsychology: Adult. 29:373-382 |
| ISSN: | 2327-9109 2327-9095 |
| DOI: | 10.1080/23279095.2020.1762085 |
| Popis: | There are a few standardized assessment tools in Persian language. The present study was carried out to develop a Verb Picture Naming Test and assessing its psychometric properties. In this cross-sectional study, a total of 230 verbs were selected based on their frequency, familiarity, age of acquisition, visual complexity, name agreement, image agreement, syllable length, transitivity, and compound or simple verbs. To determine content and face validity, 230 pictures of verbs were given to 15 experts, and then 180 final pictures were divided into original and parallel versions. Both versions of the test were performed on 50 healthy adults and 20 patients with Alzheimer's diseases. Results showed that face and content validity of these versions was more than .85 and .98. Intraclass Correlation Coefficient (ICC) for total scores was equal to .98 (p < .001, 95%CI: .97-.99) and .96 (p < .001, 95%CI: .93-.98). Standard Error of Measurement (SEM) and Smallest Detectable Change (SDC) of total scores were equal to .93 and 2.66 in version1 and 1.27 and 3.12 in version 2, respectively. The two versions of Persian Verb Picture Naming Test were found to be valid and reliable, so the clinicians can use it in clinical settings. |
| Databáze: | OpenAIRE |
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