Matthias von Davier
Matthias von Davier
Using mixture models with known class membership to address incomplete covariance structures in multiple-group growth models [0.03%]
利用已知类成员的混合模型解决多组增长模型中不完整的协方差结构问题
Su-Young Kim,Eun-Young Mun,Stevens Smith
Su-Young Kim
Multi-group latent growth modelling in the structural equation modelling framework has been widely utilized for examining differences in growth trajectories across multiple manifest groups. Despite its usefulness, the traditional maximum li...
Michio Yamamoto,Robert I Jennrich
Michio Yamamoto
A new oblique factor rotation method is proposed, the aim of which is to identify a simple and well-clustered structure in a factor loading matrix. A criterion consisting of the complexity of a factor loading matrix and a between-cluster di...
Consequences of choosing samples in hypothesis testing to ensure homogeneity of variance [0.03%]
假设检验中为保证方差齐性而选择样本的后果分析
Donald W Zimmerman
Donald W Zimmerman
The two-sample Student t test of location was performed on random samples of scores and on rank-transformed scores from normal and non-normal population distributions with unequal variances. The same test also was performed on scores that h...
Dror M Rom
Dror M Rom
We propose a simple modification of Hochberg's step-up Bonferroni procedure for multiple tests of significance. The proposed procedure is always more powerful than Hochberg's procedure for more than two tests, and is more powerful than Homm...
Mark Andrews,Thom Baguley
Mark Andrews
Within the last few years, Bayesian methods of data analysis in psychology have proliferated. In this paper, we briefly review the history or the Bayesian approach to statistics, and consider the implications that Bayesian methods have for ...
Sample size determinations for Welch's test in one-way heteroscedastic ANOVA [0.03%]
Welch检验的一元异方差ANOVA的样本量确定方法
Show-Li Jan,Gwowen Shieh
Show-Li Jan
For one-way fixed effects ANOVA, it is well known that the conventional F test of the equality of means is not robust to unequal variances, and numerous methods have been proposed for dealing with heteroscedasticity. On the basis of extensi...
The DINA model as a constrained general diagnostic model: Two variants of a model equivalency [0.03%]
DINA模型作为受限的诊断模型：模型等价性的两个变体
Matthias von Davier
Matthias von Davier
The 'deterministic-input noisy-AND' (DINA) model is one of the more frequently applied diagnostic classification models for binary observed responses and binary latent variables. The purpose of this paper is to show that the model is equiva...
Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study [0.03%]
混合效应元回归中模型预测能力的估计：一项模拟研究
José Antonio López-López,Fulgencio Marín-Martínez,Julio Sánchez-Meca et al.
José Antonio López-López et al.
Several methods are available to estimate the total and residual amount of heterogeneity in meta-analysis, leading to different alternatives when estimating the predictive power in mixed-effects meta-regression models using the formula prop...
Does subgroup membership information lead to better estimation of true subscores? [0.03%]
subgroup 成员身份信息能否更好地估计真正的子分数？
Shelby J Haberman,Sandip Sinharay
Shelby J Haberman
Haberman (2008) suggested a method to determine if subtest scores have added value over the total score. The method is based on classical test theory and considers the estimation of the true subscores. Performance of subgroups, for example,...