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Yuan, Ke-Hai; Kano, Yutaka – Journal of Educational and Behavioral Statistics, 2018
Meta-analysis plays a key role in combining studies to obtain more reliable results. In social, behavioral, and health sciences, measurement units are typically not well defined. More meaningful results can be obtained by standardizing the variables and via the analysis of the correlation matrix. Structural equation modeling (SEM) with the…
Descriptors: Meta Analysis, Structural Equation Models, Maximum Likelihood Statistics, Least Squares Statistics
Chen, Chi-hsin; Zhang, Yayun; Yu, Chen – Cognitive Science, 2018
Objects in the world usually have names at different hierarchical levels (e.g., "beagle," "dog," "animal"). This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use…
Descriptors: Statistics, Adults, Classification, Naming
Thoemmes, Felix; Liao, Wang; Jin, Ze – Journal of Educational and Behavioral Statistics, 2017
This article describes the analysis of regression-discontinuity designs (RDDs) using the R packages rdd, rdrobust, and rddtools. We discuss similarities and differences between these packages and provide directions on how to use them effectively. We use real data from the Carolina Abecedarian Project to show how an analysis of an RDD can be…
Descriptors: Regression (Statistics), Research Design, Robustness (Statistics), Computer Software
Khajah, Mohammad M. – ProQuest LLC, 2017
I study the impact of novel game manipulations on user engagement using principled computational methods. Maximizing user engagement is important because it results in more profitable games in the commercial arena and better learning outcomes in the educational arena. It is then perhaps unsurprising that the study of user engagement is well…
Descriptors: Nonparametric Statistics, Models, Learner Engagement, Bayesian Statistics
Growns, Bethany; Towler, Alice; Dunn, James D.; Salerno, Jessica M.; Schweitzer, N. J.; Dror, Itiel E. – Cognitive Research: Principles and Implications, 2022
Forensic science practitioners compare visual evidence samples (e.g. fingerprints) and decide if they originate from the same person or different people (i.e. fingerprint 'matching'). These tasks are perceptually and cognitively complex--even practising professionals can make errors--and what limited research exists suggests that existing…
Descriptors: Crime, Evidence, Sampling, Statistics Education
Findley, Kelly – Statistics Education Research Journal, 2022
Graduate Teaching Assistants (GTAs) carry a substantial instructional role in introductory courses for many mathematics and statistics departments. As a result, many GTAs have first-hand influence on the initial statistical impressions of students from a range of disciplines. But as simultaneous learners of the discipline themselves, GTAs in…
Descriptors: Graduate Students, Teaching Assistants, Introductory Courses, Statistics Education
Joshi, Megha; Pustejovsky, James E.; Beretvas, S. Natasha – Research Synthesis Methods, 2022
The most common and well-known meta-regression models work under the assumption that there is only one effect size estimate per study and that the estimates are independent. However, meta-analytic reviews of social science research often include multiple effect size estimates per primary study, leading to dependence in the estimates. Some…
Descriptors: Meta Analysis, Regression (Statistics), Models, Effect Size
Litvak, Nelly; Kula, Fulya – International Journal of Mathematical Education in Science and Technology, 2022
Through the global pandemic, the single greatest challenge at universities has been the move towards digital assessment. In this classroom note, we describe our new no-exam assessment setup in a Statistics course for third-year bachelor Mechanical Engineering students. The main idea is to assess the students based on self-generated problems.…
Descriptors: Undergraduate Students, Engineering Education, Statistics Education, Course Content
Sibaen, Nick W. – European Journal of Educational Research, 2022
This paper investigates the quantitative literacy and reasoning (QLR) of freshmen students pursuing a Science, Technology, Engineering, and Mathematics (STEM)-related degree but do not necessarily have a Senior High School (SHS) STEM background. QLR is described as a multi-faceted skill focused on the application of Mathematics and Statistics…
Descriptors: Numeracy, College Freshmen, STEM Education, Prior Learning
Desroches, Gabriel; Poulin, François; Denault, Anne-Sophie – Applied Developmental Science, 2022
This study aimed at identifying and describing patterns of sports participation during high school among a general population of students and examining individual, social, and environmental predictors of pattern membership. A sample of 287 high school students (61% girls) from Quebec (Canada) annually reported all the organized sports in which…
Descriptors: Athletics, Student Participation, High School Students, Predictor Variables
Johnson, Amy L.; Gleit, Rebecca D. – Teaching Sociology, 2022
Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…
Descriptors: College Students, Sociology, Social Science Research, Computer Science Education
Hample, Rachel – ProQuest LLC, 2022
Many institutions use placement tests as a method to assess students' readiness for college-level coursework. With the increased use of technology in testing, many institutions have transitioned placement test administration to an online format in an unproctored setting. While unproctored placement tests may provide financial and logistical…
Descriptors: Supervision, Mathematics Tests, Placement Tests, Computer Assisted Testing
Anwar, Rahmad Bustanul; Rahmawati, Dwi – Education Quarterly Reviews, 2022
The purpose of this study was to analyze the need to develop a teaching material needed in mathematics statistics lectures I. This study used a qualitative descriptive method oriented to the development of a product. The subjects of this study were fourth semester mathematics education students who were taking mathematics statistics course I and…
Descriptors: Needs Assessment, Mathematics Instruction, Material Development, Statistics Education
Matsuo, Hiroki; Nooner, Aleise L.; Pearce, Amy R. – Statistics Education Research Journal, 2022
We examined students' initial and concluding attitudes toward statistics based on course delivery methods. Students enrolled in either traditional or online undergraduate statistics courses (N = 196) completed the Survey of Attitudes Toward Statistics-36. At the beginning of the semester, students in traditional courses felt better about the…
Descriptors: Student Attitudes, Statistics Education, In Person Learning, Electronic Learning
Jin, Kuan-Yu; Eckes, Thomas – Measurement: Interdisciplinary Research and Perspectives, 2022
Recent research on rater effects in performance assessments has increasingly focused on rater centrality, the tendency to assign scores clustering around the rating scale's middle categories. In the present paper, we adopted Jin and Wang's (2018) extended facets modeling approach and constructed a centrality continuum, ranging from raters…
Descriptors: Performance Based Assessment, Evaluators, Scoring, Sample Size

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