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Newfeld, Daria – Teaching Statistics: An International Journal for Teachers, 2016
This paper presents a sample assignment to be administered after the first two weeks of an introductory business focused statistics course in order to promote student buy-in. This assignment integrates graphical displays of data, descriptive statistics and cross-tabulation analysis through the lens of a marketing analysis study. A marketing sample…
Descriptors: Introductory Courses, Statistics, Business Administration Education, Assignments
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Banjanovic, Erin S.; Osborne, Jason W. – Practical Assessment, Research & Evaluation, 2016
Confidence intervals for effect sizes (CIES) provide readers with an estimate of the strength of a reported statistic as well as the relative precision of the point estimate. These statistics offer more information and context than null hypothesis statistic testing. Although confidence intervals have been recommended by scholars for many years,…
Descriptors: Computation, Statistical Analysis, Effect Size, Sampling
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Ganotice, Fraide A., Jr.; Yeung, Susanna S.; Beguina, Leonora A.; Villarosa, Jonalyn B. – Asia-Pacific Education Researcher, 2016
Recent positive psychology literature has consistently demonstrated the link between PsyCap (composite score of hope, efficacy, resilience, and optimism--HERO) and employee productivity. However, most of these studies were conducted in industrial or organizational settings and have mostly examined the independent effect of hope, efficacy,…
Descriptors: Foreign Countries, Well Being, Job Performance, Psychological Patterns
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Gamoran, Adam – AERA Open, 2016
In fall 2013, the National Center for Education Statistics (NCES) hosted a group of researchers to provide input into its program of longitudinal surveys. Organized by the National Academy of Education with a grant from the Institute of Education Sciences, the Workshop to Examine Current and Potential Uses of NCES Longitudinal Surveys by the…
Descriptors: National Surveys, Longitudinal Studies, Educational Research, Workshops
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Chen, Yetian; González-Brenes, José P.; Tian, Jin – International Educational Data Mining Society, 2016
Skill prerequisite information is useful for tutoring systems that assess student knowledge or that provide remediation. These systems often encode prerequisites as graphs designed by subject matter experts in a costly and time-consuming process. In this paper, we introduce "Combined student Modeling and prerequisite Discovery"…
Descriptors: Bayesian Statistics, Prerequisites, Graphs, Intelligent Tutoring Systems
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Leyva, Luis A.; Mitchell, Nicollette D.; McNeill, R. Taylor; Byrne, Martha H.; Ford, Ben; Chávez, Lorely A.; Abreu-Ramos, Enrique M. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Research exploring how Hispanic-Serving Institutions (HSIs) serve Latin* STEM students has largely focused on features of organizational structures (e.g., support programs), but minimally examined instruction and classroom experiences. This is an important gap to fill, especially in gateway mathematics courses, where faculty relationships and…
Descriptors: College Faculty, Teacher Attitudes, Undergraduate Students, Student Attitudes
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Ortiz, Nickolaus A.; Jessup, Naomi – Equity & Excellence in Education, 2022
The COVID-19 pandemic brought booming economies, seemingly world-class health care systems, educational infrastructures, and the lives and well-being of nations to a complete standstill. Georgia was one of the few states that released their Shelter-in-Place order early, while reports suggest that Black communities have disproportionally higher…
Descriptors: COVID-19, Pandemics, Urban Areas, Mathematics Curriculum
Kim, Dong-In; Julian, Marc; Boughton, Keith; Phenow, Aurore – Online Submission, 2022
Pandemic-related policies are typically developed by districts and translated to all schools for implementation. Understanding the degree to which the pandemic impacted school-level performance would provide additional perspective for researchers looking to help district and school officials move forward. The main purpose of this study is to…
Descriptors: Pandemics, COVID-19, Academic Achievement, English
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Teresa M. Ober; Maxwell R. Hong; Matthew F. Carter; Alex S. Brodersen; Daniella Rebouças-Ju; Cheng Liu; Ying Cheng – Assessment in Education: Principles, Policy & Practice, 2022
We examined whether students were accurate in predicting their test performance in both low-stakes and high-stakes testing contexts. The sample comprised U.S. high school students enrolled in an advanced placement (AP) statistics course during the 2017-2018 academic year (N = 209; M[subscript age] = 16.6 years). We found that even two months…
Descriptors: High School Students, Self Evaluation (Individuals), Student Attitudes, High Stakes Tests
Karrie A. Shogren; Valerie L. Mazzotti; Tyler A. Hicks; Sheida K. Raley; Daria Gerasimova; Jesse R. Pace; Stephen M. Kwiatek; Darcy Fredrick; Jared H. Stewart-Ginsburg; Richard Chapman; Danielle C. Wysenski – Grantee Submission, 2022
Promoting self-determination is essential to effective transition services and supports. The Goal Setting Challenge App (GSC App) was developed to deliver self-determination instruction via technology, building on the evidence-based Self-Determined Learning Model of Instruction (SDLMI). This paper presents data on goal attainment outcomes for…
Descriptors: Goal Orientation, COVID-19, Pandemics, Computer Software
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Kirby, Nicola; Dempster, Edith – African Journal of Research in Mathematics, Science and Technology Education, 2015
Quantitative methods of data analysis usually involve inferential statistics, and are not well known for their ability to reflect the intricacies of a diverse student population. The South African tertiary education sector is characterised by extreme inequality and diversity. Foundation programmes address issues of inequality of access by…
Descriptors: Mathematics Instruction, Statistical Analysis, Foreign Countries, Regression (Statistics)
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Pelz, Mikael L. – Journal of School Choice, 2015
The policy diffusion framework is critical to understanding the spread of policy innovations such as charter schools in the United States. This framework, however, is less instructive in explaining the state-by-state configuration of these policies. What explains the wide variation in charter school policy among states? This study addresses this…
Descriptors: State Policy, Educational Policy, School Choice, Charter Schools
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Can, Seda; van de Schoot, Rens; Hox, Joop – Educational and Psychological Measurement, 2015
Because variables may be correlated in the social and behavioral sciences, multicollinearity might be problematic. This study investigates the effect of collinearity manipulated in within and between levels of a two-level confirmatory factor analysis by Monte Carlo simulation. Furthermore, the influence of the size of the intraclass correlation…
Descriptors: Factor Analysis, Comparative Analysis, Maximum Likelihood Statistics, Bayesian Statistics
Tang, Steven; Gogel, Hannah; McBride, Elizabeth; Pardos, Zachary A. – International Educational Data Mining Society, 2015
Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…
Descriptors: Intelligent Tutoring Systems, Difficulty Level, Bayesian Statistics, Models
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Tijms, Henk – Teaching Statistics: An International Journal for Teachers, 2015
This teaching note gives a real-life example of Bayesian thinking. It discusses how credible accusations are that the outcome of the draw for the quarter-finals in the 2013 European Champions League Football was manipulated.
Descriptors: Bayesian Statistics, Team Sports, Deception, Foreign Countries
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