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Aspen Institute, 2012
Close Reading Exemplars pull together several key shifts within the Common Core State Standards (CCSS) in a single methodological approach towards reading texts. Close Reading Exemplars focus on investigating complex texts (Anchor Reading Standard 10) via text dependent questions that rely on evidence and inferences to answer them (Anchor Reading…
Descriptors: State Standards, Core Curriculum, Curriculum Implementation, Reading Strategies
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Zientek, Linda Reichwein; Ozel, Z. Ebrar Yetkiner; Ozel, Serkan; Allen, Jeff – Career and Technical Education Research, 2012
Confidence intervals (CIs) and effect sizes are essential to encourage meta-analytic thinking and to accumulate research findings. CIs provide a range of plausible values for population parameters with a degree of confidence that the parameter is in that particular interval. CIs also give information about how precise the estimates are. Comparison…
Descriptors: Vocational Education, Effect Size, Intervals, Self Esteem
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English, Lyn D. – Educational Studies in Mathematics, 2012
This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Results are reported from the first year of a 3-year longitudinal study in which three classes of first-grade children (6-year-olds) and their teachers engaged in data modelling activities. The…
Descriptors: Statistics, Science Curriculum, Mathematics Instruction, Data Analysis
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Ruiz-Primo, Maria Araceli; Li, Min; Wills, Kellie; Giamellaro, Michael; Lan, Ming-Chih; Mason, Hillary; Sands, Deanna – Journal of Research in Science Teaching, 2012
The purpose of this article is to address a major gap in the instructional sensitivity literature on how to develop instructionally sensitive assessments. We propose an approach to developing and evaluating instructionally sensitive assessments in science and test this approach with one elementary life-science module. The assessment we developed…
Descriptors: Effect Size, Inferences, Student Centered Curriculum, Test Construction
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Frederickx, Sofie; Tuerlinckx, Francis; De Boeck, Paul; Magis, David – Journal of Educational Measurement, 2010
In this paper we present a new methodology for detecting differential item functioning (DIF). We introduce a DIF model, called the random item mixture (RIM), that is based on a Rasch model with random item difficulties (besides the common random person abilities). In addition, a mixture model is assumed for the item difficulties such that the…
Descriptors: Test Bias, Models, Test Items, Difficulty Level
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Carter, Duncan; Latz, Gil; Thornton, Patricia M. – Journal of General Education, 2010
Portland State University participated in Lessons Learned in Assessing International Learning hoping to generate new knowledge about how international learning might be assessed. Though attention was focused on developing and testing particular instruments for assessment, several highly tentative inferences about international learning itself,…
Descriptors: Inferences, Higher Education, International Education, Global Education
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Williams, Lynne J.; Abdi, Herve; French, Rebecca; Orange, Joseph B. – Journal of Speech, Language, and Hearing Research, 2010
Purpose: In communication disorders research, clinical groups are frequently described based on patterns of performance, but researchers often study only a few participants described by many quantitative and qualitative variables. These data are difficult to handle with standard inferential tools (e.g., analysis of variance or factor analysis)…
Descriptors: Discriminant Analysis, Statistical Inference, Alzheimers Disease, Dementia
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Morsanyi, Kinga; Holyoak, Keith J. – Developmental Science, 2010
Recent studies (e.g. Dawson et al., 2007) have reported that autistic people perform in the normal range on the Raven Progressive Matrices test, a formal reasoning test that requires integration of relations as well as the ability to infer rules and form high-level abstractions. Here we compared autistic and typically developing children, matched…
Descriptors: Autism, Short Term Memory, Logical Thinking, Inferences
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Holyoak, Keith J.; Lee, Hee Seung; Lu, Hongjing – Journal of Experimental Psychology: General, 2010
A fundamental issue for theories of human induction is to specify constraints on potential inferences. For inferences based on shared category membership, an analogy, and/or a relational schema, it appears that the basic goal of induction is to make accurate and goal-relevant inferences that are sensitive to uncertainty. People can use source…
Descriptors: Inferences, Logical Thinking, Bayesian Statistics, Causal Models
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Caldwell, JoAnne; Leslie, Lauren – Journal of Literacy Research, 2010
This study examines three questions: What kinds of think-aloud statements, in particular what kinds of inferences, are made by middle school students while reading expository text? Does thinking aloud affect comprehension as measured by recall and answers to questions? Does thinking aloud add value to the assessment of comprehension beyond what is…
Descriptors: Protocol Analysis, Inferences, Reading Comprehension, Expository Writing
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Pillow, Bradford H.; Pearson, RaeAnne M.; Hecht, Mary; Bremer, Amanda – Journal of Genetic Psychology, 2010
Children and adults rated their own certainty following inductive inferences, deductive inferences, and guesses. Beginning in kindergarten, participants rated deductions as more certain than weak inductions or guesses. Deductions were rated as more certain than strong inductions beginning in Grade 3, and fourth-grade children and adults…
Descriptors: Children, Adults, Logical Thinking, Inferences
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Bonawitz, Elizabeth Baraff; Ferranti, Darlene; Saxe, Rebecca; Gopnik, Alison; Meltzoff, Andrew N.; Woodward, James; Schulz, Laura E. – Cognition, 2010
Adults' causal representations integrate information about predictive relations and the possibility of effective intervention; if one event reliably predicts another, adults can represent the possibility that acting to bring about the first event might generate the second. Here we show that although toddlers (mean age: 24 months) readily learn…
Descriptors: Predictor Variables, Toddlers, Inferences, Intervention
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Cook, Thomas D.; Scriven, Michael; Coryn, Chris L. S.; Evergreen, Stephanie D. H. – American Journal of Evaluation, 2010
Legitimate knowledge claims about causation have been a central concern among evaluators and applied researchers for several decades and often have been the subject of heated debates. In recent years these debates have resurfaced with a renewed intensity, due in part to the priority currently being given to randomized experiments by many funders…
Descriptors: Evaluators, Research Design, Causal Models, Inferences
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Sterba, Sonya K. – Multivariate Behavioral Research, 2009
A model-based framework, due originally to R. A. Fisher, and a design-based framework, due originally to J. Neyman, offer alternative mechanisms for inference from samples to populations. We show how these frameworks can utilize different types of samples (nonrandom or random vs. only random) and allow different kinds of inference (descriptive vs.…
Descriptors: Statistical Inference, Models, Sampling, Psychology
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Friedman, Ori; Petrashek, Adam R. – Journal of Experimental Child Psychology, 2009
Two experiments tested whether 4- and 5-year-olds follow the rule "ignorance means you get it wrong." Following this rule should lead children to infer that a character who is ignorant about some situation will also have a false belief about it. This rule should sometimes lead children into error because ignorance does not imply false belief. In…
Descriptors: Preschool Children, Prediction, Beliefs, Knowledge Level
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