Dimitris Mavridis,Ioannis Ntzoufras
Dimitris Mavridis
In this paper we implement a Markov chain Monte Carlo algorithm based on the stochastic search variable selection method of George and McCulloch (1993) for identifying promising subsets of manifest variables (items) for factor analysis mode...
On the limitations of fixed-step-size adaptive methods with response confidence [0.03%]
具备响应自信度的自适应方法在固定步长下的局限性研究
Yung-Fong Hsu,Ching-Lan Chin
Yung-Fong Hsu
The family of (non-parametric, fixed-step-size) adaptive methods, also known as 'up-down' or 'staircase' methods, has been used extensively in psychophysical studies for threshold estimation. Extensions of adaptive methods to non-binary res...
Testing the difficulty theory of the SON-R 5(1/2)-17, a non-verbal test of intelligence [0.03%]
检验难度理论在非言语智力测验SON-R 5(1/2)-17中的适用性
Hanneke Geerlings,Jacob A Laros,Peter J Tellegen et al.
Hanneke Geerlings et al.
Fischer's (1973) linear logistic test model can be used to test hypotheses regarding the effect of covariates on item difficulty and to predict the difficulty of newly constructed test items. However, its assumptions of equal discriminatory...
Evaluating clinical significance: incorporating robust statistics with normative comparison tests [0.03%]
评估临床意义：将稳健统计与常态比较检验相结合
Katrina van Wieringen,Robert A Cribbie
Katrina van Wieringen
The purpose of this study was to evaluate a modified test of equivalence for conducting normative comparisons when distribution shapes are non-normal and variances are unequal. A Monte Carlo study was used to compare the empirical Type I er...
Compensatory and non-compensatory multidimensional randomized item response models [0.03%]
补偿性和非补偿性多维度随机项目响应模型
Jean-Paul Fox,Rinke Klein Entink,Marianna Avetisyan
Jean-Paul Fox
Randomized response (RR) models are often used for analysing univariate randomized response data and measuring population prevalence of sensitive behaviours. There is much empirical support for the belief that RR methods improve the coopera...
A note on statistical power in multi-site randomized trials with multiple treatments at each site [0.03%]
多站点随机试验中每个站点均包含多个处理组的统计功效注记
Xiaofeng Steven Liu
Xiaofeng Steven Liu
We derive the statistical power functions in multi-site randomized trials with multiple treatments at each site, using multi-level modelling. An F statistic is used to test multiple parameters in the multi-level model instead of the Wald ch...
Ehri Ryu
Ehri Ryu
This paper presents a procedure to test factorial invariance in multilevel confirmatory factor analysis. When the group membership is at level 2, multilevel factorial invariance can be tested by a simple extension of the standard procedure....
Bayes factors for testing inequality constrained hypotheses: Issues with prior specification [0.03%]
检验不等式约束假设的贝叶斯因子：先验指定问题
Joris Mulder
Joris Mulder
Several issues are discussed when testing inequality constrained hypotheses using a Bayesian approach. First, the complexity (or size) of the inequality constrained parameter spaces can be ignored. This is the case when using the posterior ...
Testing hypotheses involving Cronbach's alpha using marginal models [0.03%]
利用边际模型检验涉及cronbach'alpha的假设
Renske E Kuijpers,L Andries van der Ark,Marcel A Croon
Renske E Kuijpers
We discuss the statistical testing of three relevant hypotheses involving Cronbach's alpha: one where alpha equals a particular criterion; a second testing the equality of two alpha coefficients for independent samples; and a third testing ...
Controlling the Type I error rate by using the nonparametric bootstrap when comparing means [0.03%]
利用非参数Bootstrap控制I型错误率在均值比较中的应用研究
Isabel Parra-Frutos
Isabel Parra-Frutos
Of the several tests for comparing population means, the best known are the ANOVA, Welch, Brown-Forsythe, and James tests. Each performs appropriately only in certain conditions, and none performs well in every setting. Researchers, therefo...