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Bustami, Yakobus; Wahyuni, Florentina Rahayu Esti; Syafruddin, Didin; Marsela; Nur, Taslim D. – International Journal of Instruction, 2021
The research aimed to uncover the effect of JiRQA learning a model of based gender on students' achievement at the environmental pollution material. The method was quasi-experimental using of 2 x 2 factorial. The population was all students at junior high school from Ketungau Tengah, Indonesia. The samples were 120 students from two separate…
Descriptors: Gender Differences, Multiple Choice Tests, Junior High School Students, Foreign Countries
Fleury, Veronica P.; Whalon, Kelly; Gilmore, Carolyn; Wang, Xiaoning; Marks, Richard – Grantee Submission, 2021
Purpose: Reading involves the ability to decode and draw meaning from printed text. Reading skill profiles vary widely among learners with autism spectrum disorder (ASD). One fairly common pattern is relative strength in decoding combined with weak comprehension skills--indicators of this profile emerge as early as the preschool years. In order…
Descriptors: Autism, Evidence Based Practice, Attention, Language Skills
Wang, Zuowei; O'Reilly, Tenaha; Sabatini, John; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2021
We compared high school students' performance in a traditional comprehension assessment requiring them to identify key information and draw inferences from single texts, and a scenario-based assessment (SBA) requiring them to integrate, evaluate and apply information across multiple sources. Both assessments focused on a non-academic topic.…
Descriptors: Comparative Analysis, High School Students, Inferences, Reading Tests
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White, David; Sutherland, Clare A. M.; Burton, Amy L. – Cognitive Research: Principles and Implications, 2017
People draw automatic social inferences from photos of unfamiliar faces and these first impressions are associated with important real-world outcomes. Here we examine the effect of selecting online profile images on first impressions. We model the process of profile image selection by asking participants to indicate the likelihood that images of…
Descriptors: Self Concept, Nonverbal Communication, Photography, Selection
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Barner, David – Journal of Child Language, 2017
Perceptual representations of objects and approximate magnitudes are often invoked as building blocks that children combine to acquire the positive integers. Systems of numerical perception are either assumed to contain the logical foundations of arithmetic innately, or to supply the basis for their induction. I propose an alternative to this…
Descriptors: Numbers, Perception, Children, Learning
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An, Weihua; Winship, Christopher – Sociological Methods & Research, 2017
In this article, we review popular parametric models for analyzing panel data and introduce the latest advances in matching methods for panel data analysis. To the extent that the parametric models and the matching methods offer distinct advantages for drawing causal inference, we suggest using both to cross-validate the evidence. We demonstrate…
Descriptors: Causal Models, Statistical Inference, Interviews, Race
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Page, Robert; Satake, Eiki – Journal of Education and Learning, 2017
While interest in Bayesian statistics has been growing in statistics education, the treatment of the topic is still inadequate in both textbooks and the classroom. Because so many fields of study lead to careers that involve a decision-making process requiring an understanding of Bayesian methods, it is becoming increasingly clear that Bayesian…
Descriptors: Probability, Bayesian Statistics, Hypothesis Testing, Statistical Inference
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Walker, David A.; Smith, Thomas J. – Measurement and Evaluation in Counseling and Development, 2017
Nonnormality of data presents unique challenges for researchers who wish to carry out structural equation modeling. The subsequent SPSS syntax program computes bootstrap-adjusted fit indices (comparative fit index, Tucker-Lewis index, incremental fit index, and root mean square error of approximation) that adjust for nonnormality, along with the…
Descriptors: Robustness (Statistics), Sampling, Statistical Inference, Goodness of Fit
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Gorard, Stephen; White, Patrick – Statistics Education Research Journal, 2017
In their response to our paper, Nicholson and Ridgway agree with the majority of what we wrote. They echo our concerns about the misuse of inferential statistics and NHST in particular. Very little of their response explicitly challenges the points we made but where it does their defence of the use of inferential techniques does not stand up to…
Descriptors: Statistical Inference, Statistics, Statistical Significance, Probability
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Freed, Jenny; Cain, Kate – International Journal of Language & Communication Disorders, 2017
Background: Comprehension is critical for classroom learning and educational success. Inferences are integral to good comprehension: successful comprehension requires the listener to generate local coherence inferences, which involve integrating information between clauses, and global coherence inferences, which involve integrating textual…
Descriptors: Test Format, Listening Comprehension, Inferences, Children
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Ali, Muhammad Abid; Hussien, Suhailah – Journal of Education and Educational Development, 2017
The Islamic Republic of Pakistan won its independence seventy years ago, yet its education system continues to be secular. If one of the main aims of education is to prepare the young generation for achieving national objectives, it is but imperative for Pakistan to design an education system from the Islamic perspective. Since Muhammad Iqbal is…
Descriptors: Islam, Foreign Countries, Educational Philosophy, Hermeneutics
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Harris, Heather; Horst, S. Jeanne – Practical Assessment, Research & Evaluation, 2016
Propensity score matching techniques are becoming increasingly common as they afford applied practitioners the ability to account for systematic bias related to self-selection. However, "best practices" for implementing these techniques in applied settings is scattered throughout the literature. The current article aims to provide a…
Descriptors: Statistical Analysis, Statistical Bias, Computation, Statistical Inference
Gagnon-Bartsch, J. A.; Sales, A. C.; Wu, E.; Botelho, A. F.; Erickson, J. A.; Miratrix, L. W.; Heffernan, N. T. – Grantee Submission, 2019
Randomized controlled trials (RCTs) admit unconfounded design-based inference--randomization largely justifies the assumptions underlying statistical effect estimates--but often have limited sample sizes. However, researchers may have access to big observational data on covariates and outcomes from RCT non-participants. For example, data from A/B…
Descriptors: Randomized Controlled Trials, Educational Research, Prediction, Algorithms
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Braun, Henry – British Journal of Educational Psychology, 2019
Background: There is unrealized potential in higher education for greater use of performance assessment, particularly in support of teaching and learning: Well-designed performance tasks can elicit evidence regarding what students know and can do with respect to complex learning objectives. At the same time, there is some pressure, at least in the…
Descriptors: Performance Based Assessment, Higher Education, Test Format, Standardized Tests
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Roettger, Timo B.; Franke, Michael – Cognitive Science, 2019
Intonation plays an integral role in comprehending spoken language. Listeners can rapidly integrate intonational information to predictively map a given pitch accent onto the speaker's likely referential intentions. We use mouse tracking to investigate two questions: (a) how listeners draw predictive inferences based on information from…
Descriptors: Cues, Intonation, Language Processing, Speech Communication
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