Title: Understanding Repeated-Measures Design in Research---**Repeated-Measures Design: An Overview**One of the advantages of a repeated-measures design is its ability to remove individual differences from the error variance. This capability increases the likelihood of rejecting the null hypothesis in research studies. The following data were obtained from a research study comparing three treatment conditions. The use of repeated-measures design makes it possible to clearly identify the variations attributable to treatment effects rather than individual participant differences.*Copyright 2016 Cengage Learning. All Rights Reserved.*---**Data Analysis and Interpretation**The results show significant differences among the treatment conditions, F(2, 26) = 4.87, p < .05. This statistical notation indicates:- **F-value (F-test):** A ratio used to determine if there are significant differences between group means.- **Degrees of freedom (2, 26):** Corresponds to the number of treatment conditions and the number of participants.- **p-value (< .05):** Signifies the result is statistically significant, meaning the differences are unlikely to have occurred by chance.---**Research Study Tasks**a. **Number of Treatment Conditions:** - How many treatment conditions were compared in the study?b. **Number of Participants:** - How many individuals participated in the study?--- This structure guides researchers and students in understanding the effectiveness of repeated-measures design in experimental studies, emphasizing its role in enhancing the reliability of findings by minimizing error variance.

Given information: F(2,26) where 2 is treatment degrees of freedom and 26 is error degrees o freedom. a) DF of treatment= k-1=3-1=2 hence 3 treatment conditions were compared in the study. b)we know that total degrees of freedom is n-1 where n is total individual present in the study . DF(total) = DF (treatment)+DF(error) =2+26 (n-1) =28 hence total individual present in the study is 29.

Answered: differences among the treatment…

Math

Statistics

differences among the treatment conditions, F(2, 26) = 4.87, p< .05." a. How many treatment conditions were compared in the study? b. How many individuals participated in the study?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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