Using a selected database, find a research study that used a t test to determine the statistically significance of the reported data. After briefly providing an overview of the study, explain why the researcher used the t test for analysis.
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One research study that used a t-test to determine the statistical significance of the reported data is "The Effect of Cognitive-Behavioral Therapy (CBT) on Anxiety and Depression Among Elementary School Students" by Soltaninejad et al., published in the Iranian Journal of Psychiatry and Behavioral Sciences.
The study aimed to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing anxiety and depression symptoms among elementary school students. It involved 60 students aged 7 to 11 years, who were randomly assigned to either the experimental group (received CBT) or the control group (received no intervention). The participants' anxiety and depression symptoms were measured using the Children's Depression Inventory (CDI) and the Screen for Child Anxiety Related Emotional Disorders (SCARED).
To determine the statistical significance of the reported data, the researchers used a t-test. They compared the mean scores of anxiety and depression in the pre- and post-test assessments between the experimental and control groups. The t-test allowed them to analyze the differences and determine if the changes in anxiety and depression symptoms were significant or due to chance.
The researchers chose the t-test because it is suitable for comparing the means of two groups when the sample size is relatively small, which was the case in this study with 30 participants in each group. The t-test is commonly used when the data follow a normal distribution and the samples are independent, as the experimental and control groups were in this study. By utilizing the t-test, the researchers were able to assess whether the reported reduction in anxiety and depression symptoms was statistically significant and not a result of random variability or chance.
In summary, the study used a t-test to determine the statistical significance of the data collected from two groups of elementary school students who received either cognitive-behavioral therapy or no intervention. This test allowed the researchers to analyze the changes in anxiety and depression symptoms between the groups and determine if the intervention had a significant effect on these variables.
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