Paper ID #31526The CAHSI INCLUDES Alliance: Realizing Collective ImpactDr. Elsa Q. Villa, University of Texas at El Paso Elsa Q. Villa, Ph.D., is a research assistant professor at The University of Texas at El Paso (UTEP) in the College of Education, and is Director of the Center for Education Research and Policy Studies (CERPS). Dr. Villa received her doctoral degree in curriculum and instruction from New Mexico State University; she received a Master of Science degree in Computer Science and a Master of Arts in Education from UTEP. She has led and co-led numerous grants from corporate foundations and state and
reduced, allowing for more detailed and interesting findings.3.2.5 Tests for AssumptionsIn order to understand the validity of our data set and the subsequent analysis, a few assumptionsmust first be tested which the factorial ANOVA takes into account. The assumption of normalitywas tested via examination of the residuals. Review of the Shapiro–Wilk (S-W) test fornormality and skewness and kurtosis statistics suggest whether or not normality was a reasonableassumption. The boxplot of the residuals is analyzed for a relatively normal distributional shape.The Q–Q plot and histogram are also examined for normality. The assumption of homogeneityof variance (homoscedasticity) is tested by conducting Levene’s test.Random assignment of individuals to
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packed with team building andprofessional development activities. Activities include Skype and in-person alumni talks, industrysite visits and Q&A with engineers, faculty research talks, and a University career center visitwhere staff discusses the college application process, various majors in STEM, alumniconnections and inspirational stories. These features of the camp align with the dimensions ofrelatedness and autonomy in SDT.The code camp was led by a female faculty/lecturer that has extensive experience with teachinglower-level Computer Science courses at the University level. The code camp instruction teamalso included undergraduate student teacher assistants (TAs); two female TAs and one male TA,all of whom were Computer Science
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