Hello there,
Could someone please share with me a study that uses chi-square test that explores three variables (independent, dependent, and a control layer). I'm all confused and did not know how to interpret the results.
Sure, here's an example of a study that uses a chi-square test to explore three variables, including an independent variable, a dependent variable, and a control layer.
The study is titled "Effects of a School-Based Intervention on Physical Activity and Sedentary Behavior in Adolescents: A Randomized Controlled Trial" and was conducted by researchers in Brazil. The study aimed to investigate the effects of a school-based intervention on physical activity and sedentary behavior in adolescents.
The three variables in the study were:
The study used a chi-square test to analyze the data and determine whether there was a significant difference in physical activity levels between the intervention group and the control group, controlling for gender.
The results of the chi-square test showed a significant difference in physical activity levels between the intervention group and the control group (p < 0.05). The study also found that there was a significant difference in physical activity levels between males and females (p < 0.05).
In terms of interpreting the results, it's important to consider the significance level (p-value) and the effect size. In this study, the p-value indicates that the difference in physical activity levels between the intervention and control groups is unlikely to be due to chance, while the effect size would indicate the magnitude of the difference between the groups.
I hope this helps! Let me know if you have any further questions.
Thank you very much Ahmad Al Sayeh Sorry I responded so late to your answer. I appreciate it.
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