Question
Tynne is doing a literature review to understand what may affect obsessive personality. Tynne finds multiple research studies that have used linear regression analyses, looking at different factors that predict obsessive personality. The best statistic that Tynne can extract from these papersβ results sections in order to compare results across the papers and find the strongest predictor of obsessive personality is: Question 7Answer a. F statistic b. T-statistic c. Unstandardized beta coefficient d. Standardized beta coefficient e. P-value
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Answer to a math question Tynne is doing a literature review to understand what may affect obsessive personality. Tynne finds multiple research studies that have used linear regression analyses, looking at different factors that predict obsessive personality. The best statistic that Tynne can extract from these papersβ results sections in order to compare results across the papers and find the strongest predictor of obsessive personality is: Question 7Answer a. F statistic b. T-statistic c. Unstandardized beta coefficient d. Standardized beta coefficient e. P-value
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The best statistic that Tynne can extract from the results sections of the research papers to compare the results across the papers and find the strongest predictor of obsessive personality is the \textbf{Standardized beta coefficient}.
The standardized beta coefficient (also known as beta weights or beta coefficients) allows for direct comparison of the strength of the relationship between each predictor and the outcome variable (obsessive personality) across different studies, regardless of the scale of the predictors.
\textbf{Answer: d. Standardized beta coefficient}
The standardized beta coefficient (also known as beta weights or beta coefficients) allows for direct comparison of the strength of the relationship between each predictor and the outcome variable (obsessive personality) across different studies, regardless of the scale of the predictors.
\textbf{Answer: d. Standardized beta coefficient}
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