Discussion Question: Must be at 250 words.
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 study titled "The Effect of Exercise on Anxiety Symptoms: A Meta-analysis of Randomized Controlled Trials" by Stubbs et al. published in Journal of Affective Disorders (2017).
This study aimed to investigate the effect of exercise on anxiety symptoms by conducting a meta-analysis of randomized controlled trials (RCTs). The researchers systematically searched multiple databases and selected relevant studies that assessed the effect of exercise interventions on anxiety symptoms in adults. They included RCTs that compared exercise interventions with control conditions and reported pre- and post-intervention anxiety symptom scores.
To determine the statistical significance of the data, the researchers used a t-test. They calculated the effect size (Hedges' g) for each study, which quantifies the magnitude of the difference between the two groups (exercise intervention vs. control condition) in terms of the standard deviation. Then, they used a t-test to determine if the mean effect size across studies significantly differed from zero.
There are several reasons why the researchers used a t-test for analysis in this study. Firstly, a t-test is suitable when comparing means of two groups, which was the case in this study as they compared anxiety symptom scores between the exercise intervention and control condition groups. Secondly, the researchers had access to the individual study data (mean scores and standard deviations), which is a requirement for conducting a t-test. By calculating the effect sizes and their variances, they were able to pool the data and perform the t-test to determine the overall significance of the effect. Lastly, a t-test is a widely used statistical method for hypothesis testing when the data are normally distributed, which is often assumed in many behavioral and health-related studies.
In conclusion, Stubbs et al. used a t-test in their study to determine the statistical significance of the effect of exercise on anxiety symptoms. The t-test was appropriate for comparing means between two groups, and the researchers had the necessary data to conduct this analysis.
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