Attention Deficit Hyperactivity Disorder affects many children and even some adults. In time and with a great amount of research the field of psychology has been able to create a way around this disorder for families and individuals suffering from it. However, ADHD can come with other symptoms such as trouble concentrating or reading difficulties. It is important that future clinicians use all of this research to help future and existing clients with these difficulties. To help with future practice and the possibility of treatment for client this paper will examine an outcomes study for children with ADHD and reading difficulties as well as the effects of disorder specific treatment. The following article studied the effects of …show more content…
The first was the SNAP-IV which is an ADHD rating scale created by Swanson, Nolan, and Pelham in 1992. This scale was formatted as a Likert scale in which each student was rated by how much their symptoms were described. This scale was completed as a pretest, a posttest and for follow up for each randomized group. The second measure was the 3rd edition of the Wechsler Individual Achievement test (WIAT). This test focused on each child’s word reading and decoding score. This scale was also used pretest, posttest, and follow up.
These variables were measured on interval and ordinal scales rather than nominal or ratio scales. The measure had not used a nominal scale because the study was not simply comparing the gender of each child to their symptoms nor was it focused on any particular category. The study was not ratio because there was no true zero in the outcome. More specifically the SNAP-IV was measured on an ordinal scale as it was in Likert format and children were rated from 0-4 by their symptoms. The questionnaire had children rated from not at all to very much. The study did not clarify for sure that there was much difference between no symptoms at all to very much so. The format of the WIAT was not reported but more than likely this measure was on an interval …show more content…
(2017) used a single factor and chi square test. Their main focus was the effectiveness of randomization and equality among the groups. A two factor ANOVA would not have been the correct type of test because Tamm et al. (2017) were trying to compare three independent means. Those independent means were the types of treatments assigned to the groups. Single factor ANOVAs are commonly used when larger populations are gathered and then split into smaller populations to be compared. In this case, students were recruited then placed into smaller groups and assigned to three different treatments. There are three main assumptions related to a single factor ANOVA: (1) The dependent variable in normally distributed (2) the variances have some sort of likeness (3) and observations are independent. These assumptions were met and more specifically treatment condition and baseline scores were investigated to make sure that they were met. However, there were a few children in the study who did not meet criteria and were excluded from the