NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Head Start1
What Works Clearinghouse Rating
Showing 151 to 165 of 227 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Calzada, Maria E.; Gardner, Holly – Mathematics and Computer Education, 2011
The results of a simulation conducted by a research team involving undergraduate and high school students indicate that when data is symmetric the student's "t" confidence interval for a mean is superior to the studied non-parametric bootstrap confidence intervals. When data is skewed and for sample sizes n greater than or equal to 10,…
Descriptors: Intervals, Effect Size, Simulation, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Lu, Zhenqiu Laura; Zhang, Zhiyong; Lubke, Gitta – Multivariate Behavioral Research, 2011
"Growth mixture models" (GMMs) with nonignorable missing data have drawn increasing attention in research communities but have not been fully studied. The goal of this article is to propose and to evaluate a Bayesian method to estimate the GMMs with latent class dependent missing data. An extended GMM is first presented in which class…
Descriptors: Bayesian Statistics, Statistical Inference, Computation, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Gu, Fei; Skorupski, William P.; Hoyle, Larry; Kingston, Neal M. – Applied Psychological Measurement, 2011
Ramsay-curve item response theory (RC-IRT) is a nonparametric procedure that estimates the latent trait using splines, and no distributional assumption about the latent trait is required. For item parameters of the two-parameter logistic (2-PL), three-parameter logistic (3-PL), and polytomous IRT models, RC-IRT can provide more accurate estimates…
Descriptors: Intervals, Item Response Theory, Models, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Lu, Hongjing; Chen, Dawn; Holyoak, Keith J. – Psychological Review, 2012
How can humans acquire relational representations that enable analogical inference and other forms of high-level reasoning? Using comparative relations as a model domain, we explore the possibility that bottom-up learning mechanisms applied to objects coded as feature vectors can yield representations of relations sufficient to solve analogy…
Descriptors: Inferences, Thinking Skills, Comparative Analysis, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Larwin, Karen; Harvey, Milton – Practical Assessment, Research & Evaluation, 2012
Establishing model parsimony is an important component of structural equation modeling (SEM). Unfortunately, little attention has been given to developing systematic procedures to accomplish this goal. To this end, the current study introduces an innovative application of the jackknife approach first presented in Rensvold and Cheung (1999). Unlike…
Descriptors: Structural Equation Models, Sampling, Statistical Inference, Measures (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
Simsek, Omer Faruk; Demir, Meliksah – Social Indicators Research, 2013
Past empirical research relying on self-determination theory (SDT) has consistently shown that parental support of basic psychological needs (BPN) is associated with adolescent happiness. Yet, the specific mechanisms accounting for this link are still undetermined. The present study aimed to address this gap in the literature by testing a…
Descriptors: Psychological Needs, Psychological Patterns, Well Being, Adolescents
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zobac, Stephanie; Spears, Julia; Barker, Gregory – Learning Communities: Research & Practice, 2014
This article presents a method for addressing the self-selection bias of students who participate in learning communities (LCs). More specifically, this research utilizes equivalent comparison groups based on selected incoming characteristics of students, known as bootstraps, to account for self-selection bias. To address the differences in…
Descriptors: College Freshmen, First Year Seminars, Student Participation, Communities of Practice
Peer reviewed Peer reviewed
Direct linkDirect link
Fritz, Matthew S.; Taylor, Aaron B.; MacKinnon, David P. – Multivariate Behavioral Research, 2012
Previous studies of different methods of testing mediation models have consistently found two anomalous results. The first result is elevated Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap tests not found in nonresampling tests or in resampling tests that did not include a bias correction. This is of special…
Descriptors: Statistical Analysis, Error of Measurement, Statistical Bias, Sampling
Hipkins, Rosemary – Teaching and Learning Research Initiative, 2014
This is the first report from a new initiative called TLRI Project Plus. It aims to add value to the Teaching and Learning Research Initiative (TLRI), which NZCER manages on behalf of the government, by synthesising findings across multiple projects. This report focuses on two projects in statistics education and explores the factors that…
Descriptors: Statistics, Mathematics Education, Foreign Countries, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Noll, Jennifer; Shaughnessy, J. Michael – Journal for Research in Mathematics Education, 2012
Sampling tasks and sampling distributions provide a fertile realm for investigating students' conceptions of variability. A project-designed teaching episode on samples and sampling distributions was team-taught in 6 research classrooms (2 middle school and 4 high school) by the investigators and regular classroom mathematics teachers. Data…
Descriptors: Sampling, Mathematics Teachers, Middle Schools, High Schools
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Walker, Michael E.; Kim, Sooyeon – Educational Testing Service, 2010
This study examined the use of an all multiple-choice (MC) anchor for linking mixed format tests containing both MC and constructed-response (CR) items, in a nonequivalent groups design. An MC-only anchor could effectively link two such test forms if either (a) the MC and CR portions of the test measured the same construct, so that the MC anchor…
Descriptors: Equated Scores, Test Format, Multiple Choice Tests, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Erard, Robert E. – American Psychologist, 2009
Comments on a paper by H. S. Kim, D. K. Sherman, and S. E. Taylor in regards to the consideration of culture, ethnicity, and national origin in the study of individual and group differences and social interactions. Erard claims that their attempt to infer from small, mostly college-student samples examined on a handful of variables in a few dozen…
Descriptors: Sampling, Statistical Inference, Reader Response, Cultural Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Xu, Fei; Denison, Stephanie – Cognition, 2009
Research on initial conceptual knowledge and research on early statistical learning mechanisms have been, for the most part, two separate enterprises. We report a study with 11-month-old infants investigating whether they are sensitive to sampling conditions and whether they can integrate intentional information in a statistical inference task.…
Descriptors: Infants, Statistical Inference, Sampling, Inferences
Pages: 1  |  ...  |  6  |  7  |  8  |  9  |  10  |  11  |  12  |  13  |  14  |  15  |  16