Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 54 |
Descriptor
Computation | 55 |
Regression (Statistics) | 55 |
Simulation | 55 |
Models | 16 |
Error of Measurement | 15 |
Statistical Analysis | 13 |
Comparative Analysis | 12 |
Item Response Theory | 11 |
Correlation | 10 |
Monte Carlo Methods | 10 |
Data Analysis | 9 |
More ▼ |
Source
Author
Cai, Li | 3 |
Choi, Kilchan | 2 |
Jiang, Yanlin | 2 |
Li, Deping | 2 |
Oranje, Andreas | 2 |
Seltzer, Michael | 2 |
Thomas, D. Roland | 2 |
Adelman, James S. | 1 |
Arnholt, Alan T. | 1 |
Auer, Richard E. | 1 |
Austin, Peter C. | 1 |
More ▼ |
Publication Type
Journal Articles | 43 |
Reports - Research | 33 |
Reports - Evaluative | 14 |
Reports - Descriptive | 7 |
Collected Works - Proceedings | 1 |
Collected Works - Serial | 1 |
Dissertations/Theses -… | 1 |
Numerical/Quantitative Data | 1 |
Education Level
Higher Education | 7 |
Elementary Education | 6 |
Grade 4 | 4 |
Postsecondary Education | 4 |
Secondary Education | 4 |
Elementary Secondary Education | 3 |
Grade 7 | 3 |
Intermediate Grades | 3 |
Junior High Schools | 3 |
Middle Schools | 3 |
Grade 6 | 2 |
More ▼ |
Audience
Teachers | 1 |
Location
Australia | 1 |
Canada | 1 |
Czech Republic | 1 |
Israel | 1 |
Luxembourg | 1 |
Massachusetts | 1 |
Netherlands | 1 |
New York | 1 |
North Carolina | 1 |
Oklahoma | 1 |
Pennsylvania | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
General Social Survey | 1 |
Longitudinal Surveys of… | 1 |
Massachusetts Comprehensive… | 1 |
National Assessment of… | 1 |
National Education… | 1 |
National Longitudinal Survey… | 1 |
Peabody Individual… | 1 |
Progress in International… | 1 |
What Works Clearinghouse Rating
Xu, Ziqian; Hai, Jiarui; Yang, Yutong; Zhang, Zhiyong – Grantee Submission, 2022
Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network imputation methods including simple ones constructed from network structural characteristics and more complicated model-based ones have been developed. Although past…
Descriptors: Social Networks, Network Analysis, Data Analysis, Bayesian Statistics
Wang, Chun; Xu, Gongjun; Zhang, Xue – Grantee Submission, 2019
When latent variables are used as outcomes in regression analysis, a common approach that is used to solve the ignored measurement error issue is to take a multilevel perspective on item response modeling (IRT). Although recent computational advancement allow efficient and accurate estimation of multilevel IRT models, we argue that a two-stage…
Descriptors: Error of Measurement, Item Response Theory, Regression (Statistics), Evaluation Methods
Sales, Adam C.; Hansen, Ben B. – Journal of Educational and Behavioral Statistics, 2020
Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment,…
Descriptors: Regression (Statistics), Computation, Statistical Inference, Robustness (Statistics)
Yamaguchi, Kazuo – Sociological Methods & Research, 2016
This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…
Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)
Keller, Bryan; Chen, Jianshen – Society for Research on Educational Effectiveness, 2016
Observational studies are common in educational research, where subjects self-select or are otherwise non-randomly assigned to different interventions (e.g., educational programs, grade retention, special education). Unbiased estimation of a causal effect with observational data depends crucially on the assumption of ignorability, which specifies…
Descriptors: Computation, Influences, Observation, Data
Wetzel, Eunike; Böhnke, Jan R.; Rose, Norman – Educational and Psychological Measurement, 2016
The impact of response styles such as extreme response style (ERS) on trait estimation has long been a matter of concern to researchers and practitioners. This simulation study investigated three methods that have been proposed for the correction of trait estimates for ERS effects: (a) mixed Rasch models, (b) multidimensional item response models,…
Descriptors: Response Style (Tests), Simulation, Methods, Computation
Shang, Yi; VanIwaarden, Adam; Betebenner, Damian W. – Educational Measurement: Issues and Practice, 2015
In this study, we examined the impact of covariate measurement error (ME) on the estimation of quantile regression and student growth percentiles (SGPs), and find that SGPs tend to be overestimated among students with higher prior achievement and underestimated among those with lower prior achievement, a problem we describe as ME endogeneity in…
Descriptors: Error of Measurement, Regression (Statistics), Achievement Gains, Students
Kern, Holger L.; Stuart, Elizabeth A.; Hill, Jennifer; Green, Donald P. – Journal of Research on Educational Effectiveness, 2016
Randomized experiments are considered the gold standard for causal inference because they can provide unbiased estimates of treatment effects for the experimental participants. However, researchers and policymakers are often interested in using a specific experiment to inform decisions about other target populations. In education research,…
Descriptors: Educational Research, Generalization, Sampling, Participant Characteristics
Monroe, Scott; Cai, Li – Educational Measurement: Issues and Practice, 2015
Student growth percentiles (SGPs, Betebenner, 2009) are used to locate a student's current score in a conditional distribution based on the student's past scores. Currently, following Betebenner (2009), quantile regression (QR) is most often used operationally to estimate the SGPs. Alternatively, multidimensional item response theory (MIRT) may…
Descriptors: Item Response Theory, Reliability, Growth Models, Computation
Sweet, Tracy M. – Journal of Educational and Behavioral Statistics, 2015
Social networks in education commonly involve some form of grouping, such as friendship cliques or teacher departments, and blockmodels are a type of statistical social network model that accommodate these grouping or blocks by assuming different within-group tie probabilities than between-group tie probabilities. We describe a class of models,…
Descriptors: Social Networks, Statistical Analysis, Probability, Models
Falk, Carl F.; Cai, Li – Journal of Educational Measurement, 2016
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood-based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Item Response Theory, Guessing (Tests), Mathematics Tests, Simulation
Eckardt, Gordon; Selen, Willem; Wynder, Monte – e-Journal of Business Education and Scholarship of Teaching, 2015
Business simulations are a powerful way to provide experiential learning that is focussed, controlled, and concentrated. Inherent in any simulation, however, are numerous assumptions that determine feedback, and hence the lessons learnt. In this conceptual paper we describe some common cost assumptions that are implicit in simulation design and…
Descriptors: Business Administration Education, Simulation, Educational Games, Teaching Methods
Wagler, Amy E. – Journal of Educational and Behavioral Statistics, 2014
Generalized linear mixed models are frequently applied to data with clustered categorical outcomes. The effect of clustering on the response is often difficult to practically assess partly because it is reported on a scale on which comparisons with regression parameters are difficult to make. This article proposes confidence intervals for…
Descriptors: Hierarchical Linear Modeling, Cluster Grouping, Heterogeneous Grouping, Monte Carlo Methods
Moraveji, Behjat; Jafarian, Koorosh – International Journal of Education and Literacy Studies, 2014
The aim of this paper is to provide an introduction of new imputation algorithms for estimating missing values from official statistics in larger data sets of data pre-processing, or outliers. The goal is to propose a new algorithm called IRMI (iterative robust model-based imputation). This algorithm is able to deal with all challenges like…
Descriptors: Mathematics, Computation, Robustness (Statistics), Regression (Statistics)
Rutkowski, Leslie; Zhou, Yan – Journal of Educational Measurement, 2015
Given the importance of large-scale assessments to educational policy conversations, it is critical that subpopulation achievement is estimated reliably and with sufficient precision. Despite this importance, biased subpopulation estimates have been found to occur when variables in the conditioning model side of a latent regression model contain…
Descriptors: Error of Measurement, Error Correction, Regression (Statistics), Computation