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Xinran Li; Peng Ding – Grantee Submission, 2018
Frequentists' inference often delivers point estimators associated with confidence intervals or sets for parameters of interest. Constructing the confidence intervals or sets requires understanding the sampling distributions of the point estimators, which, in many but not all cases, are related to asymptotic Normal distributions ensured by central…
Descriptors: Correlation, Intervals, Sampling, Evaluation Methods
Jackson, Zachary A.; Sherman, Ledric D. – Journal of American College Health, 2019
Objective: This investigation longitudinally examined the participation of Black college students in the American College Health Association's National College Health Assessment (ACHA-NCHA). Participants: All respondents to ACHA-NCHA from the years 2008, 2011, & 2014 were included in the analysis. Methods: This study compared the descriptive…
Descriptors: Sampling, African American Students, College Students, Health
Hedges, Larry V.; Schauer, Jacob M. – Journal of Educational and Behavioral Statistics, 2019
The problem of assessing whether experimental results can be replicated is becoming increasingly important in many areas of science. It is often assumed that assessing replication is straightforward: All one needs to do is repeat the study and see whether the results of the original and replication studies agree. This article shows that the…
Descriptors: Replication (Evaluation), Research Design, Research Methodology, Program Evaluation
Niessen, A. Susan M.; Meijer, Rob R.; Tendeiro, Jorge N. – Educational Measurement: Issues and Practice, 2019
A longstanding concern about admissions to higher education is the underprediction of female academic performance by admission test scores. One explanation for these findings is selection system bias, that is, not all relevant KSAOs that are related to academic performance and gender are included in the prediction model. One solution to this…
Descriptors: College Admission, High Stakes Tests, Gender Differences, Sampling
Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
Vegetabile, Brian G.; Stout-Oswald, Stephanie A.; Davis, Elysia Poggi; Baram, Tallie Z.; Stern, Hal S. – Journal of Educational and Behavioral Statistics, 2019
Predictability of behavior is an important characteristic in many fields including biology, medicine, marketing, and education. When a sequence of actions performed by an individual can be modeled as a stationary time-homogeneous Markov chain the predictability of the individual's behavior can be quantified by the entropy rate of the process. This…
Descriptors: Markov Processes, Prediction, Behavior, Computation
Findley, Kelly; Lyford, Alexander – Statistics Education Research Journal, 2019
Researchers have documented many misconceptions students hold about sampling variability. This study takes a different approach--instead of identifying shortcomings, we consider the productive reasoning pieces students construct as they reason about sampling distributions. We interviewed eight undergraduate students newly enrolled in an…
Descriptors: Statistics, Thinking Skills, Misconceptions, Sampling
Hedges, Larry V.; Schauer, Jacob M. – Grantee Submission, 2019
The problem of assessing whether experimental results can be replicated is becoming increasingly important in many areas of science. It is often assumed that assessing replication is straightforward: All one needs to do is repeat the study and see whether the results of the original and replication studies agree. This article shows that the…
Descriptors: Replication (Evaluation), Research Design, Research Methodology, Program Evaluation
Lamprianou, Iasonas – International Journal of Social Research Methodology, 2022
Recruiting participants through gatekeepers has been widely discussed in qualitative research. However, when a sampling frame is not available, surveying through gatekeepers can also be important for quantitative studies. We used three sampling methods to survey guardians of University students: (a) a gatekeeper variant of the time-space sampling,…
Descriptors: Research Problems, Social Science Research, Qualitative Research, Sampling
Taneja-Johansson, Shruti – Emotional & Behavioural Difficulties, 2023
The purpose of this scoping review is to critically examine empirical research that draws on first-person experiences of schooling among students with autism or attention-deficit/hyperactivity disorder (ADHD) as well as to map whose voices are heard in research and where the current knowledge gaps are. The review examined key characteristics of…
Descriptors: Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders, Students with Disabilities, Educational Research
Tipton, Elizabeth; Spybrook, Jessaca; Fitzgerald, Kaitlyn G.; Wang, Qian; Davidson, Caryn – Educational Researcher, 2021
As a result of the evidence-based decision-making movement, the number of randomized trials evaluating educational programs and curricula has increased dramatically over the past 20 years. Policy makers and practitioners are encouraged to use the results of these trials to inform their decision making in schools and school districts. At the same…
Descriptors: Randomized Controlled Trials, Educational Research, Institutional Characteristics, Participant Characteristics
Pazzaglia, Angela M.; Stafford, Erin T.; Rodriguez, Sheila M. – Regional Educational Laboratory Northeast & Islands, 2016
This guide describes a five-step collaborative process that educators can use with other educators, researchers, and content experts to write or adapt questions and develop surveys for education contexts. This process allows educators to leverage the expertise of individuals within and outside of their organization to ensure a high-quality survey…
Descriptors: Surveys, Sampling, Testing, Sample Size
van Dijke-Droogers, Marianne; Drijvers, Paul; Bakker, Arthur – Mathematical Thinking and Learning: An International Journal, 2020
While various studies suggest that informal statistical inference (ISI) can be developed by young students, more research is needed to translate this claim into a well-founded learning trajectory (LT). As a contribution, this paper presents the results of a cycle of design research that focuses on the design, implementation, and evaluation of the…
Descriptors: Statistical Inference, Grade 9, Sampling, Statistical Distributions
National Center for Education Statistics, 2020
This document provides tables underlying figures in "Education, Employment, and Earnings: Expectations of 2009 Ninth-Graders in 2016" and describes the survey methodology, sources of error in estimates, response rates and nonresponse bias, and statistical procedures for the Statistics in Brief report "Education, Employment, and…
Descriptors: Expectation, Educational Attainment, Employment, Income
Jacobs, Perke; Viechtbauer, Wolfgang – Research Synthesis Methods, 2017
Meta-analyses are often used to synthesize the findings of studies examining the correlational relationship between two continuous variables. When only dichotomous measurements are available for one of the two variables, the biserial correlation coefficient can be used to estimate the product-moment correlation between the two underlying…
Descriptors: Sampling, Correlation, Meta Analysis, Measurement