Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Resolving The Issue Of How Reliability Is Related To Statistical Power: Adhering To Mathematical Definitions, Donald W. Zimmerman, Bruno D. Zumbo
Resolving The Issue Of How Reliability Is Related To Statistical Power: Adhering To Mathematical Definitions, Donald W. Zimmerman, Bruno D. Zumbo
Journal of Modern Applied Statistical Methods
Reliability in classical test theory is a population-dependent concept, defined as a ratio of true-score variance and observed-score variance, where observed-score variance is a sum of true and error components. On the other hand, the power of a statistical significance test is a function of the total variance, irrespective of its decomposition into true and error components. For that reason, the reliability of a dependent variable is a function of the ratio of true-score variance and observed-score variance, whereas statistical power is a function of the sum of the same two variances. Controversies about how reliability is related to statistical …
Spss Programs For Addressing Two Forms Of Power For Multiple Regression Coefficients, Christopher Aberson
Spss Programs For Addressing Two Forms Of Power For Multiple Regression Coefficients, Christopher Aberson
Journal of Modern Applied Statistical Methods
This paper presents power analysis tools for multiple regression. The first takes input of correlations between variables and sample size and outputs power for multiple predictors. The second addresses power to detect significant effects for all of the predictors in the model. Both employ user-friendly SPSS Custom Dialogs.
Informational Power On Twitter: A Mixed-Methods Exploration Of User Knowledge And Technological Discourse About Information Flows, Nicholas John Proferes
Informational Power On Twitter: A Mixed-Methods Exploration Of User Knowledge And Technological Discourse About Information Flows, Nicholas John Proferes
Theses and Dissertations
Following a number of recent examples where social media users have been confronted by information flows that did not match their understandings of the platforms, there is a pressing need to examine public knowledge of information flows on these systems, to map how this knowledge lines up against the extant flows of these systems, and to explore the factors that contribute to the construction of knowledge about these systems. There is an immediacy to this issue because as social media sites become further entrenched as dominant vehicles for communication, knowledge about these technologies will play an ever increasing role in …