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Jones, Ryan Seth; Jia, Zhigang; Bezaire, Joel – Mathematics Teacher: Learning and Teaching PK-12, 2020
Too often, statistical inference and probability are treated in schools like they are unrelated. In this paper, we describe how we supported students to learn about the role of probability in making inferences with variable data by building models of real world events and using them to simulate repeated samples.
Descriptors: Statistical Inference, Probability, Mathematics Instruction, Mathematical Models
Rueger, Sandra Yu; Jenkins, Lyndsay N. – School Psychology Quarterly, 2014
The purpose of the current study is to investigate the effects of frequency of peer victimization experiences on psychological and academic adjustment during early adolescence, with a focus on testing psychological adjustment as a mediator, as well as differences based on gender and type of victimization. The sample in this short-term longitudinal…
Descriptors: Bullying, Peer Relationship, Victims, Incidence
Zhang, Zhiyong; Lai, Keke; Lu, Zhenqiu; Tong, Xin – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Despite the widespread popularity of growth curve analysis, few studies have investigated robust growth curve models. In this article, the "t" distribution is applied to model heavy-tailed data and contaminated normal data with outliers for growth curve analysis. The derived robust growth curve models are estimated through Bayesian…
Descriptors: Structural Equation Models, Bayesian Statistics, Statistical Inference, Statistical Distributions
Churchwell, Don Wesley – ProQuest LLC, 2009
This study examined the relationship between STAR Math gains and TCAP composite scores. The purpose of this study was to determine if there was a significant relationship between STAR Math pretest and posttest gains over the course of the 2005-2006 academic year through the use of the STAR Math software program and TCAP math composite scores at…
Descriptors: Student Needs, Mathematics Achievement, Pretests Posttests, Computer Software