Aphasia and Related Disorders
SPLP 5360
Article Critique 1
a. Was the treatment rationale clearly stated and was it relevant? Please quote the theoretical rationale from the article.
The treatment rationale was specified in the beginning of the article I chose to critique. The rationale stated that the study was concerned with “whether Semantic Feature Analysis (SFA) can be modified and still produce naming improvements in aphasia.” The study looked at whether SFA could be modified and only focus on three categories (rather than the commonly used six), and continue to see success in the area of naming in individuals with aphasia. Semantic Feature Analysis has frequently been used to treat the naming deficits commonly …show more content…
What were the independent and dependent variables? Please quote the variables from the article.
The independent variable in this study was the “modified version of the Semantic Feature Analysis in an individual with nonfluent aphasia and apraxia.” (Hashimoto, N. and Frome, A. 2011.) The treatment consisted off the categories: clothing, animals and musical instruments. The dependent variable was “the improved naming of trained items.” (Hashimoto, N. and Frome, A. 2011.) The dependent variable is what the researchers are hoping is the result upon implementing the treatment.
c. What was the specific research design used? State the control mechanisms the chosen design provides. Cite source for your …show more content…
Effect sizes in this study were calculated using d statistics. This was necessary in observing the strength of the treatment results. Generalization was not found through this same measure, as there were too few data points for the calculation. The results were compared to a previous study which set the criteria as follows: an effect size of 4.0= small, 7.0= medium and 10.1=large (Beeson & Robey, 2006). The type of statistics the researchers chose in the current study involved non-parametric measures. This is due to the fact that d-statistics are a form of the Kolmogorov Smirnov test, which is appropriate when observing small sample