Journal of Educational and Behavioral Statistics, sponsored jointly by the American Educational Research Association and the American Statistical Association, publishes articles that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis, provide properties of these methods, and an example of use in education or behavioral research.
教育与行为统计杂志(Journal Of Educational And Behavioral Statistics)是一本由SAGE出版的一本Multiple学术刊物,主要报道Multiple相关领域研究成果与实践。本刊已入选、社会科学引文索引(SCIE)来源期刊,该刊创刊于1994年,出版周期6 issues/year。2021-2022年最新版WOS分区等级:Q2,2023年发布的影响因子为1.9,CiteScore指数4.4,SJR指数1.336。本刊非开放获取期刊。 《教育与行为统计杂志》由美国教育研究协会和美国统计协会联合主办,发表原创文章,为研究教育或行为研究中的问题和议题提供有用的方法。典型论文介绍了新的分析方法,提供了这些方法的性质,以及在教育或行为研究中的使用示例。
Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619832248
More Than One Replication Study Is Needed for Unambiguous Tests of Replication
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619852953
Detection and Treatment of Careless Responses to Improve Item Parameter Estimation
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618825116
School Differences in Social–Emotional Learning Gains: Findings From the First Large-Scale Panel Survey of Students
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619845162
Development and Application of an Exploratory Reduced Reparameterized Unified Model
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618791306
Category-Level Model Selection for the Sequential G-DINA Model
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618792484
Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619881789
Modeling Social Networks as Mediators: A Mixed Membership Stochastic Blockmodel for Mediation
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618814255
Writing Process Differences in Subgroups Reflected in Keystroke Logs
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619856590
Process Data in NAEP: Past, Present, and Future
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618784700
Toward Education Quality Improvement in China: A Brief Overview of the National Assessment of Education Quality
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618809677
Estimating Linking Functions for Response Model Parameters
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618808576
Kernel Equating Using Propensity Scores for Nonequivalent Groups
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619838226
Accounting for Student Disadvantage in Value-Added Models
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618803889
Estimation of Expected Fisher Information for IRT Models
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619838240
The Causal Structure of Suppressor Variables
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619825679
Flexible, Free Software for Multilevel Multiple Imputation: A Review of Blimp and jomo
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619858624
Latent Variable Regression Four-Level Hierarchical Model Using Multisite Multiple-Cohort Longitudinal Data
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619864538
On Longitudinal Item Response Theory Models: A Didactic
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619882026
Predicting Time to Reclassification for English Learners: A Joint Modeling Approach
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618791259
Multilevel Modeling With Stat-JR SAAs: A Software Review
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618811383
Using Pooled Heteroskedastic Ordered Probit Models to Improve Small-Sample Estimates of Latent Test Score Distributions
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998620922919
Propensity Score Analysis With Latent Covariates: Measurement Error Bias Correction Using the Covariate’s Posterior Mean, aka the Inclusive Factor Score
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998620911920
Lord’s Equity Theorem Revisited
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619837627
Added Value of Subscores and Hypothesis Testing
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618788862
Acknowledgments
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619884050
A Note on the Solution Multiplicity of the Vale–Maurelli Intermediate Correlation Equation
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998618803381
Research on Psychometric Modeling, Analysis, and Reporting of the National Assessment of Educational Progress
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619867105
Correcting Fixed Effect Standard Errors When a Crossed Random Effect Was Ignored for Balanced and Unbalanced Designs
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619843168
TIMSS 2015: Illustrating Advancements in Large-Scale International Assessments
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619882030
Introduction to the Special Issue on Research and Development on Large-Scale Educational Assessment Programs
来源期刊:Journal of Educational and Behavioral StatisticsDOI:10.3102/1076998619887740