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Full-Text Articles in Education
The Effect Of Interactive Technology On Informal Learning And Performance In A Social Setting, Timothy Clay Boileau
The Effect Of Interactive Technology On Informal Learning And Performance In A Social Setting, Timothy Clay Boileau
Wayne State University Dissertations
This study is based on a qualitative multiple case study research design using a mixed methods approach to provide insight into the effect of interactive technology on informal learning and performance in a social business setting inhabited by knowledge workers. The central phenomenon examined is the variance in behavioral intention towards interactive Web 2.0 technologies in learning and performance-related activities, depending on social and cultural setting, observable in individual and group usage patterns.
The theoretical foundation for this study is drawn primarily from the activity theory model developed by Engeström (1987) and related research enabled by an ongoing review of …
A Comparison Of The Effects Of Non-Normal Distributions On Tests Of Equivalence, Linda Ellington
A Comparison Of The Effects Of Non-Normal Distributions On Tests Of Equivalence, Linda Ellington
Wayne State University Dissertations
Statistical theory and its application provide the foundation to modern systematic inquiry in the behavioral, physical and social sciences disciplines (Fisher, 1958; Wilcox, 1996). It provides the tools for scholars and researchers to operationalize constructs, describe populations, and measure and interpret the relations between populations and variables (Weinbach & Grinnell, 1997; Wilcox, 1996). Given that the majority of real data analysis in the behavioral and social sciences is comprised of non-normally distributed data, it is important that researchers be aware of the effects of non-normal distributions on the probability of detecting equivalence between populations.
The present study examined the effects …
Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test, Michael Lance
Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test, Michael Lance
Wayne State University Dissertations
Historically, it has been accepted practice for critical values for the Winsorized t test for independent samples to be based on adjusted degrees of freedom depending on the number of total non-Winsorized (approximate) values. Recently, a new such table of Winsorized critical values has been developed via approximate randomization by Monte Carlo simulation.
Based on eight common data distributions estimated from Psychology and Education along with the normal and five Mathematical distributions, these two tables of values were compared with respect to robustness to types I and II errors through Monte Carlo simulations for one and 10% Winsorized values per …