Journal of Educational and Behavioral Statistics

SSCI-ISI SCOPUS (1996-2023)

  1076-9986

  1935-1054

  Mỹ

Cơ quản chủ quản:  SAGE Publications Inc.

Lĩnh vực:
Social Sciences (miscellaneous)Education

Các bài báo tiêu biểu

Sample Size Estimation for Longitudinal Designs with Attrition: Comparing Time-Related Contrasts Between Two Groups
Tập 24 Số 1 - Trang 70-93 - 1999
Donald Hedeker, Robert D. Gibbons, Christine Waternaux
Formulas for estimating sample sizes are presented to provide specified levels of power for tests of significance from a longitudinal design allowing for subject attrition. These formulas are derived for a comparison of two groups in terms of single degree-of-freedom contrasts of population means across the study timepoints. Contrasts of this type can often capture the main and interactio...... hiện toàn bộ
The Kruskal-Wallis Test and Stochastic Homogeneity
Tập 23 Số 2 - Trang 170-192 - 1998
András Vargha, Harold D. Delaney
For the comparison of more than two independent samples the Kruskal-Wallis H test is a preferred procedure in many situations. However, the exact null and alternative hypotheses, as well as the assumptions of this test, do not seem to be very clear among behavioral scientists. This article attempts to bring some order to the inconsistent, sometimes controversial treatments of the Kruskal-...... hiện toàn bộ
Inferential Methods for the Tetrachoric Correlation Coefficient
Tập 30 Số 2 - Trang 213-225 - 2005
Douglas G. Bonett, Robert M. Price
The tetrachoric correlation describes the linear relation between two continuous variables that have each been measured on a dichotomous scale. The treatment of the point estimate, standard error, interval estimate, and sample size requirement for the tetrachoric correlation is cursory and incomplete in modern psychometric and behavioral statistics texts. A new and simple method of accura...... hiện toàn bộ
Multiple Testing and Statistical Power with Modified Bonferroni Procedures
Tập 22 Số 4 - Trang 389 - 1997
Stephen Olejnik, Jianmin Li, Suchada Supattathum, Carl J. Huberty
A Comparison of Imputation Methods for Bayesian Factor Analysis Models
Tập 36 Số 2 - Trang 257-276 - 2011
Edgar C. Merkle
Imputation methods are popular for the handling of missing data in psychology. The methods generally consist of predicting missing data based on observed data, yielding a complete data set that is amiable to standard statistical analyses. In the context of Bayesian factor analysis, this article compares imputation under an unrestricted multivariate normal model (Multiple Imputation [MI]) t...... hiện toàn bộ