Abstract is: The Journal of Educational and Behavioral Statistics is a peer-reviewed academic journal published by SAGE Publications on behalf of the American Educational Research Association and American Statistical Association. It covers statistical methods and applied statistics in the educational and behavioral sciences. The journal was established in 1976 as the Journal of Educational Statistics and obtained its current name in 1994. The journal's editor is .
| scientific journal | Q5633421 |
| P6981 | ACNP journal ID | 2526263 |
| 800936 | ||
| P8375 | Crossref journal ID | 55592 |
| P1250 | Danish Bibliometric Research Indicator (BFI) SNO/CNO | 16587 |
| P1058 | ERA Journal ID | 895 |
| P646 | Freebase ID | /m/04n25bl |
| P8903 | HAL journal ID | 6044 |
| P1160 | ISO 4 abbreviation | J. Educ. Behav. Stat. |
| P236 | ISSN | 1076-9986 |
| 1935-1054 | ||
| P7363 | ISSN-L | 1076-9986 |
| P1230 | JSTOR journal ID | jeducbehastat |
| P1277 | JUFO ID | 60214 |
| P1144 | Library of Congress Control Number (LCCN) (bibliographic) | 94664267 |
| P4730 | Mir@bel journal ID | 5822 |
| P1055 | NLM Unique ID | 9890361 |
| P243 | OCLC control number | 30674665 |
| P856 | official website | http://www.jstor.org/journals/10769986.html |
| http://www.sagepub.com/journals/Journal201853/title | ||
| P10283 | OpenAlex ID | S53135262 |
| P3181 | OpenCitations bibliographic resource ID | 126505 |
| P5966 | SAGE journal ID | jebb |
| P7662 | Scilit journal ID | 1906934 |
| P1156 | Scopus source ID | 16444 |
| P1025 | SUDOC editions | 06865197X |
| 113799489 | ||
| 169593029 |
| P495 | country of origin | United States of America | Q30 |
| P1240 | Danish Bibliometric Research Indicator level | 2 | |
| P571 | inception | 1976-01-01 | |
| P8875 | indexed in bibliographic review | Scopus | Q371467 |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | education statistics | Q59243220 |
| P123 | publisher | SAGE Publishing | Q251266 |
| P1365 | replaces | Journal of Educational Statistics | Q50577991 |
| P1476 | title | Journal Of Educational And Behavioral Statistics |
| Q126534969 | A Bias-Corrected RMSD Item Fit Statistic: An Evaluation and Comparison to Alternatives |
| Q111191346 | A Comparative Study of Online Item Calibration Methods in Multidimensional Computerized Adaptive Testing |
| Q99724828 | A Correlated Random Effects Model for Nonignorable Missing Data in Value-Added Assessment of Teacher Effects |
| Q56269889 | A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong |
| Q127530806 | A Fast and Simple Algorithm for Bayesian Adaptive Testing |
| Q111191340 | A Guide for Setting the Cut-Scores to Minimize Weighted Classification Errors in Test Batteries |
| Q99724748 | A Latent Cluster-Mean Approach to the Contextual Effects Model With Missing Data |
| Q128342204 | A Longitudinal Higher-Order Diagnostic Classification Model |
| Q99724751 | A Model for Teacher Effects From Longitudinal Data Without Assuming Vertical Scaling |
| Q99724758 | A Multilevel Mixture IRT Model With an Application to DIF |
| Q59522023 | A New Test of Linear Hypotheses in OLS Regression Under Heteroscedasticity of Unknown Form |
| Q99724881 | A Note on the Solution Multiplicity of the Vale–Maurelli Intermediate Correlation Equation |
| Q126252210 | A Review of Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3rd ed.) |
| Q56928740 | A Review of Bayesian Psychometric ModelingLevyR.MislevyR. J.Bayesian Psychometric Modeling. Boca Raton, FL: Chapman and Hall/CRC, 2016. 466 pp., $93.95. ISBN: 9781439884676 |
| Q61479657 | A Review of Design of Observational Studies |
| Q127592639 | A Scaled Threshold Model for Measuring Extreme Response Style |
| Q99724825 | A Statistical Model for Misreported Binary Outcomes in Clustered RCTs of Education Interventions |
| Q111191352 | A Strategy for Replacing Sum Scoring |
| Q99724842 | A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys |
| Q111191348 | A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism |
| Q57263810 | Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning |
| Q129157677 | Accounting for Student Disadvantage in Value-Added Models |
| Q99725033 | Adaptive Pairwise Comparison for Educational Measurement |
| Q129395664 | Added Value of Subscores and Hypothesis Testing |
| Q99724823 | Alternatives for Mixed-Effects Meta-Regression Models in the Reliability Generalization Approach |
| Q99724852 | An Aggregate IRT Procedure for Exploratory Factor Analysis |
| Q60596151 | An Effect Size for Regression Predictors in Meta-Analysis |
| Q99724726 | An Importance Sampling EM Algorithm for Latent Regression Models |
| Q129520687 | An Information Matrix Test for the Collapsing of Categories Under the Partial Credit Model |
| Q99724742 | An Integrated Bayesian Model for DIF Analysis |
| Q64029550 | An Introduction to Generalized Estimating Equations and an Application to Assess Selectivity Effects in a Longitudinal Study on Very Old Individuals |
| Q126252459 | An Optimal Design Approach to Criterion-Referenced Computerized Testing |
| Q99724808 | Analyzing Response Times in Tests With Rank Correlation Approaches |
| Q57744613 | Approximate Confidence Intervals for Standardized Effect Sizes in the Two-Independent and Two-Dependent Samples Design |
| Q99724851 | Assessment of Person Fit for Mixed-Format Tests |
| Q99724771 | Assessment of School Performance Through a Multilevel Latent Markov Rasch Model |
| Q58312050 | Bayesian Analysis of Multilevel Probit Models for Data With Friendship Dependencies |
| Q99704280 | Bayesian Estimation of Multivariate Latent Regression Models: Gauss Versus Laplace |
| Q99724856 | Bayesian Estimation of the DINA Model With Gibbs Sampling |
| Q99724764 | Bayesian Estimation of the Logistic Positive Exponent IRT Model |
| Q99724724 | Bayesian Methods for Scalable Multivariate Value-Added Assessment |
| Q58125441 | Bayesian Multilevel Latent Class Models for the Multiple Imputation of Nested Categorical Data |
| Q33650965 | Bias Mechanisms in Intention-to-Treat Analysis With Data Subject to Treatment Noncompliance and Missing Outcomes |
| Q57744636 | Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model |
| Q99724879 | Category-Level Model Selection for the Sequential G-DINA Model |
| Q99724736 | Causal Inference for Time-Varying Instructional Treatments |
| Q99724860 | Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies |
| Q126252479 | Combining Aggregate and Individual Level Data to Estimate an Individual Level Correlation Coefficient |
| Q99724812 | Comparing Regression Coefficients Between Nested Linear Models for Clustered Data With Generalized Estimating Equations |
| Q99724761 | Confidence Intervals for True Scores Using the Skew-Normal Distribution |
| Q99724739 | Consequences of Unmodeled Nonlinear Effects in Multilevel Models |
| Q59410033 | Constraining Item Exposure in Computerized Adaptive Testing With Shadow Tests |
| Q127967045 | Correcting Fixed Effect Standard Errors When a Crossed Random Effect Was Ignored for Balanced and Unbalanced Designs |
| Q99724837 | Correcting for Test Score Measurement Error in ANCOVA Models for Estimating Treatment Effects |
| Q110500243 | Deep Learning With TensorFlow: A Review |
| Q99724733 | Delineating the Average Rate of Change in Longitudinal Models |
| Q130040687 | Detecting Aberrant Behavior and Item Preknowledge: A Comparison of Mixture Modeling Method and Residual Method |
| Q128448925 | Detection and Treatment of Careless Responses to Improve Item Parameter Estimation |
| Q126979249 | Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities |
| Q99724803 | Do Black Children Benefit More From Small Classes? Multivariate Instrumental Variable Estimators With Ignorable Missing Data |
| Q62026444 | Does the Package Matter? A Comparison of Five Common Multilevel Modeling Software Packages |
| Q56289277 | Estimating Effect Size Under Publication Bias: Small Sample Properties and Robustness of a Random Effects Selection Model |
| Q128463983 | Estimating the Entropy Rate of Finite Markov Chains With Application to Behavior Studies |
| Q99724846 | Estimation of Contextual Effects Through Nonlinear Multilevel Latent Variable Modeling With a Metropolis–Hastings Robbins–Monro Algorithm |
| Q128091354 | Estimation of Expected Fisher Information for IRT Models |
| Q58818966 | Estimation of Indirect Effects in the Presence of Unmeasured Confounding for the Mediator–Outcome Relationship in a Multilevel 2-1-1 Mediation Model |
| Q99724816 | Estimators for Clustered Education RCTs Using the Neyman Model for Causal Inference |
| Q128911790 | Flexible Bayesian Models for Inferences From Coarsened, Group-Level Achievement Data |
| Q99724729 | Fumiko Samejima |
| Q99724768 | Goodness of Fit and Misspecification in Quantile Regressions |
| Q120920464 | Handling Item Nonresponse in the U.S. Component of the IEA Reading Literacy Study |
| Q126867659 | IRT and MIRT Models for Item Parameter Estimation With Multidimensional Multistage Tests |
| Q99724821 | Improving Generalizations From Experiments Using Propensity Score Subclassification |
| Q60596155 | Incorporating Quality Scores in Meta-Analysis |
| Q99724876 | Interval Estimation of Latent Variable Scores in Item Response Theory |
| Q99724848 | Interval Estimation of Standardized Mean Differences in Paired-Samples Designs |
| Q126856651 | Introduction to the Special Issue on Research and Development on Large-Scale Educational Assessment Programs |
| Q111191350 | Item Response Modeling of Multivariate Count Data With Zero Inflation, Maximum Inflation, and Heaping |
| Q128107664 | Kernel Equating Using Propensity Scores for Nonequivalent Groups |
| Q99704278 | Latent Factors in Student–Teacher Interaction Factor Analysis |
| Q59795443 | Linda S. Gottfredson |
| Q99725026 | Lord’s Equity Theorem Revisited |
| Q56806299 | Lyle V. Jones: Biography |
| Q126252176 | ML Estimation of Mean and Covariance Structures with Missing Data Using Complete Data Routines |
| Q108044498 | Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language |
| Q61479668 | Matching With Multiple Control Groups With Adjustment for Group Differences |
| Q99724721 | Maximum Likelihood Estimation of Nonlinear Structural Equation Models with Ignorable Missing Data |
| Q99724833 | Measuring Test Measurement Error |
| Q129407901 | Meta-Analytical SEM: Equivalence Between Maximum Likelihood and Generalized Least Squares |
| Q60325732 | Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis |
| Q60655824 | Modeling Achievement Trajectories When Attrition Is Informative |
| Q99704279 | Modeling Answer Change Behavior: An Application of a Generalized Item Response Tree Model |
| Q60655822 | Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model |
| Q99724745 | Modeling Heterogeneity in Relationships Between Initial Status and Rates of Change: Treating Latent Variable Regression Coefficients as Random Coefficients in a Three-Level Hierarchical Model |
| Q128767271 | Modeling Social Networks as Mediators: A Mixed Membership Stochastic Blockmodel for Mediation |
| Q126252214 | Modeling Sustained Educational Change With Panel Data: The Case for Dynamic Multiplier Analysis |
| Q42100972 | Models for Value-Added Modeling of Teacher Effects |
| Q127668955 | More Than One Replication Study Is Needed for Unambiguous Tests of Replication |
| Q99724794 | Multidimensional Assessment of Value Added by Teachers to Real-World Outcomes |
| Q99724766 | Multilevel Growth Mixture Models for Classifying Groups |
| Q128813725 | Multilevel Modeling With Stat-JR SAAs: A Software Review |
| Q58298001 | Multilevel Modeling of Social Segregation |
| Q99724776 | Multimodal Likelihoods in Educational Assessment |
| Q111191351 | Multiple Imputation Under Violated Distributional Assumptions: A Systematic Evaluation of the Assumed Robustness of Predictive Mean Matching |
| Q99724826 | Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys |
| Q47251708 | Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item Level |
| Q126860029 | On Longitudinal Item Response Theory Models: A Didactic |
| Q99724857 | On Matrix Sampling and Imputation of Context Questionnaires With Implications for the Generation of Plausible Values in Large-Scale Assessments |
| Q57263753 | On the Estimation of Standard Errors in Cognitive Diagnosis Models |
| Q99724869 | On the Hedges Correction for a t-Test |
| Q126979002 | Online Calibration of a Joint Model of Item Responses and Response Times in Computerized Adaptive Testing |
| Q126252469 | Optimal Calibration Designs for Tests of Polytomously Scored Items Described by Item Response Theory Models |
| Q99724867 | Posterior Predictive Checks for Conditional Independence Between Response Time and Accuracy |
| Q129403670 | Predicting Time to Reclassification for English Learners: A Joint Modeling Approach |
| Q61450169 | Principal Score Methods: Assumptions, Extensions, and Practical Considerations |
| Q129524556 | Process Data in NAEP: Past, Present, and Future |
| Q60655825 | Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures |
| Q124881141 | Profiles in Research |
| Q99724864 | Propensity Score Analysis inR |
| Q60655831 | Redundant Overdispersion Parameters in Multilevel Models for Categorical Responses |
| Q99724862 | Rejoinder to Commentaries by Ackerman, Ho, and Wainer on “Bad Questions” |
| Q58376329 | Reporting Subscores Using R: A Software Review |
| Q127409974 | Research on Psychometric Modeling, Analysis, and Reporting of the National Assessment of Educational Progress |
| Q99724800 | Residuals and the Residual-Based Statistic for Testing Goodness of Fit of Structural Equation Models |
| Q114039303 | Review of Computerized Adaptive and Multistage Testing With R: Using Packages catR and mstR |
| Q56268731 | Sample Size Requirements for Testing and Estimating Coefficient Alpha |
| Q99724799 | Sampling Variability and Axioms of Classical Test Theory |
| Q56912465 | Scheffé's More Powerful F-Protected Post Hoc Procedure |
| Q127969024 | School Differences in Social–Emotional Learning Gains: Findings From the First Large-Scale Panel Survey of Students |
| Q127024023 | Scoring Tests With Contaminated Response Vectors |
| Q35148372 | Sensitivity Analysis and Bounding of Causal Effects With Alternative Identifying Assumptions |
| Q99724789 | Simultaneous One-Sided Tests With Application to Education Evaluation Systems |
| Q36929758 | Solutions for Determining the Significance Region Using the Johnson-Neyman Type Procedure in Generalized Linear (Mixed) Models |
| Q99724829 | Spatial Double Generalized Beta Regression Models |
| Q99724786 | Standard Errors of Equating Differences |
| Q111191345 | Statistical Power for Causally Defined Indirect Effects in Group-Randomized Trials With Individual-Level Mediators |
| Q99724755 | Stochastic Approximation Methods for Latent Regression Item Response Models |
| Q61830446 | Student, School, and Country Differences in Sustained Test-Taking Effort in the 2009 PISA Reading Assessment |
| Q99725029 | TIMSS 2015: Illustrating Advancements in Large-Scale International Assessments |
| Q56336365 | Teacher’s Corner: A Note on Interpretation of the Paired-Samples t Test |
| Q126260792 | Testing for Local Dependence in Rasch’s Multiplicative Gamma Model for Speed Tests |
| Q99724779 | The Causal Effect of Class Size on Academic Achievement |
| Q128431200 | The Causal Structure of Suppressor Variables |
| Q111191344 | The Cut-Score Operating Function: A New Tool to Aid in Standard Setting |
| Q57603595 | The Gains From Vertical Scaling |
| Q99724781 | The Persistence of School-Level Value-Added |
| Q99724871 | The Prevalence and Implications of Slipping on Low-Stakes, Large-Scale Assessments |
| Q127361124 | The Reliability of the Posterior Probability of Skill Attainment in Diagnostic Classification Models |
| Q99724838 | The Sequential Probability Ratio Test and Binary Item Response Models |
| Q57696289 | Tools for Educational Data Mining |
| Q128950213 | Toward Education Quality Improvement in China: A Brief Overview of the National Assessment of Education Quality |
| Q99724874 | Tracking Skill Acquisition With Cognitive Diagnosis Models: A Higher-Order, Hidden Markov Model With Covariates |
| Q129774054 | Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds |
| Q37385087 | Uncertainty in Rank Estimation: Implications for Value-Added Modeling Accountability Systems |
| Q128415864 | Using JAGS for Bayesian Cognitive Diagnosis Modeling: A Tutorial |
| Q128670077 | Using Regularization to Identify Measurement Bias Across Multiple Background Characteristics: A Penalized Expectation–Maximization Algorithm |
| Q127121470 | Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale |
| Q127284086 | Variable Selection for Causal Effect Estimation: Nonparametric Conditional Independence Testing With Random Forests |
| Q127659776 | Writing Process Differences in Subgroups Reflected in Keystroke Logs |
| Q50577991 | Journal of Educational Statistics | replaced by | P1366 |
| Q34196624 | I've Fallen and I Can't Get Up: Can High-Ability Students Recover From Early Mistakes in CAT? | cites work | P2860 |
| Arabic (ar / Q13955) | مجلة الإحصاء التربوي والسلوكي | wikipedia |
| Journal of Educational and Behavioral Statistics | wikipedia | |
| Journal of Educational and Behavioral Statistics | wikipedia |
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