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Dinov, Ivo D.; Palanimalai, Selvam; Khare, Ashwini; Christou, Nicolas – Teaching Statistics: An International Journal for Teachers, 2018
Statistical inference involves drawing scientifically-based conclusions describing natural processes or observable phenomena from datasets with intrinsic random variation. We designed, implemented, and validated a new portable randomization-based statistical inference infrastructure (http://socr.umich.edu/HTML5/Resampling_Webapp) that blends…
Descriptors: Statistical Inference, Sampling, Simulation, Computer Oriented Programs
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Martinez, Luis R.; Boucaud, Dwayne W.; Casadevall, Arturo; August, Avery – CBE - Life Sciences Education, 2018
We report the outcomes of a survey of underrepresented minorities (URMs) in life science academic (e.g., faculty) and nonacademic (e.g., research-related) positions seeking to ascertain variables that contribute to their success (e.g., favorable or desired outcome). Given that they had positions in research careers, all respondents were presumed…
Descriptors: Minority Groups, Disproportionate Representation, Biological Sciences, Success
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Fitzpatrick, Stephanie L.; Appel, Lawrence J.; Bray, Bethany; Brooks, Neon; Stevens, Victor J. – Health Education & Behavior, 2018
Background: We have demonstrated previously that patterns of behavioral adherence in the first 6 months of behavioral lifestyle interventions were associated with significant weight loss at 18 months. In this article, we extend this work to examine patterns of behavioral adherence over 18 months and to explore baseline demographic and psychosocial…
Descriptors: Predictor Variables, Compliance (Psychology), Health Behavior, Health Promotion
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Iadarola, Suzannah; Levato, Lynne; Harrison, Bryan; Smith, Tristram; Lecavalier, Luc; Johnson, Cynthia; Swiezy, Naomi; Bearss, Karen; Scahill, Lawrence – Journal of Autism and Developmental Disorders, 2018
We report on parent outcomes from a randomized clinical trial of parent training (PT) versus psychoeducation (PEP) in 180 children with autism spectrum disorder (ASD) and disruptive behavior. We compare the impact of PT and PEP on parent outcomes: Parenting Stress Index (PSI), Parent Sense of Competence (PSOC), and Caregiver Strain Questionnaire…
Descriptors: Autism, Pervasive Developmental Disorders, Parent Education, Psychoeducational Methods
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Swanson, Meghan R.; Shen, Mark D.; Wolff, Jason J.; Boyd, Brian; Clements, Mark; Rehg, James; Elison, Jed T.; Paterson, Sarah; Parish-Morris, Julia; Chappell, J. Chad; Hazlett, Heather C.; Emerson, Robert W.; Botteron, Kelly; Pandey, Juhi; Schultz, Robert T.; Dager, Stephen R.; Zwaigenbaum, Lonnie; Estes, Annette M.; Piven, Joseph – Child Development, 2018
Children's early language environments are related to later development. Little is known about this association in siblings of children with autism spectrum disorder (ASD), who often experience language delays or have ASD. Fifty-nine 9-month-old infants at high or low familial risk for ASD contributed full-day in-home language recordings.…
Descriptors: Infants, Autism, Pervasive Developmental Disorders, Environmental Influences
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Botelho, Anthony F.; Baker, Ryan S.; Ocumpaugh, Jaclyn; Heffernan, Neil T. – International Educational Data Mining Society, 2018
Student affect has been found to correlate with short- and long-term learning outcomes, including college attendance as well as interest and involvement in Science, Technology, Engineering, and Mathematics (STEM) careers. However, there still remain significant questions about the processes by which affect shifts and develops during the learning…
Descriptors: Psychological Patterns, Time, Computer Assisted Instruction, Affective Behavior
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Sales, Adam C.; Botelho, Anthony; Patikorn, Thanaporn; Heffernan, Neil T. – International Educational Data Mining Society, 2018
Randomized A/B tests in educational software are not run in a vacuum: often, reams of historical data are available alongside the data from a randomized trial. This paper proposes a method to use this historical data--often highdimensional and longitudinal--to improve causal estimates from A/B tests. The method proceeds in two steps: first, fit a…
Descriptors: Courseware, Data Analysis, Causal Models, Prediction
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Gautam, Dipesh; Maharjan, Nabin; Graesser, Arthur C.; Rus, Vasile – International Educational Data Mining Society, 2018
This work is a step towards full automation of auto-mentoring processes in multi-player online environments such as virtual internships. We focus on automatically identifying speaker's intentions, i.e. the speech acts of chat utterances, in such virtual internships. Particularly, we explore several machine learning methods to categorize speech…
Descriptors: Speech Acts, Classification, Automation, Synchronous Communication
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Tompson, Steven H.; Kahn, Ari E.; Falk, Emily B.; Vettel, Jean M.; Bassett, Danielle S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
How do people acquire knowledge about which individuals belong to different cliques or communities? And to what extent does this learning process differ from the process of learning higher-order information about complex associations between nonsocial bits of information? Here, the authors use a paradigm in which the order of stimulus presentation…
Descriptors: Individual Differences, Social Networks, Social Cognition, Network Analysis
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Perry, Jamie L.; Kollara, Lakshmi; Sutton, Bradley P.; Kuehn, David P.; Fang, Xiangming – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The observed sexual dimorphism of velopharyngeal structures among adult populations has not been observed in the young child (4- to 9- year-old) population. The purpose of this study was to examine the age at which sexual dimorphism of velopharyngeal structures become apparent and to examine how growth trends vary between boys and girls.…
Descriptors: Human Body, Children, Age Differences, Gender Differences
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Walker, Timothy J.; Risendal, Betsy; Kegler, Michelle C.; Friedman, Daniela B.; Weiner, Bryan J.; Williams, Rebecca S.; Tu, Shin-Ping; Fernandez, Maria E. – Health Education & Behavior, 2018
Multiple evidence-based approaches (EBAs) exist to improve colorectal cancer screening in health clinics. The success of these approaches is tied to effective implementation. Therefore, the purpose of this study was to assess the implementation of EBAs for colorectal cancer screening and clinic-level correlates of implementation in federally…
Descriptors: Cancer, Correlation, Clinics, Evidence Based Practice
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