The humble Bayesian: model checking from a fully Bayesian perspective [0.03%]
谦卑的贝叶斯方法：从纯贝叶斯视角进行模型检验
Richard D Morey,Jan-Willem Romeijn,Jeffrey N Rouder
Richard D Morey
Gelman and Shalizi (2012) criticize what they call the 'usual story' in Bayesian statistics: that the distribution over hypotheses or models is the sole means of statistical inference, thus excluding model checking and revision, and that in...
Stephen Senn
Stephen Senn
Posterior predictive checks can and should be Bayesian: comment on Gelman and Shalizi, 'Philosophy and the practice of Bayesian statistics' [0.03%]
posterior预测检查可以也是贝叶斯的：评论 Gospel和Shalizi的“哲学与贝叶斯统计实践”文章
John K Kruschke
John K Kruschke
Bayesian inference is conditional on the space of models assumed by the analyst. The posterior distribution indicates only which of the available parameter values are less bad than the others, without indicating whether the best available p...
Comparing two independent groups: a test based on a one-step M-estimator and bootstrap-t [0.03%]
基于一阶段M估计和自助法t检验的两独立样本位置差异检验方法
A Fırat Özdemir
A Fırat Özdemir
A new test is proposed for the problem of comparing two independent groups in terms of some measure of location. The proposed test () uses a one-step M-estimator and a bootstrap-t method with the procedure proposed by Özdemir and Kurt (200...
Limited-information goodness-of-fit testing of hierarchical item factor models [0.03%]
基于有限信息的层次项目因素模型拟合优度检验
Li Cai,Mark Hansen
Li Cai
In applications of item response theory, assessment of model fit is a critical issue. Recently, limited-information goodness-of-fit testing has received increased attention in the psychometrics literature. In contrast to full-information te...
Model uncertainty and multimodel inference in reliability estimation within a longitudinal framework [0.03%]
模型不确定性及基于纵向框架的可靠性估计中的多模型推断
Ariel Alonso,Annouschka Laenen
Ariel Alonso
Laenen, Alonso, and Molenberghs (2007) and Laenen, Alonso, Molenberghs, and Vangeneugden (2009) proposed a method to assess the reliability of rating scales in a longitudinal context. The methodology is based on hierarchical linear models, ...
Björn Lantz
Björn Lantz
In this journal, Zimmerman (2004, 2011) has discussed preliminary tests that researchers often use to choose an appropriate method for comparing locations when the assumption of normality is doubtful. The conceptual problem with this approa...
A unified approach to multiple-set canonical correlation analysis and principal components analysis [0.03%]
多组 канonical корrelation分析和主成分分析的统一方法
Heungsun Hwang,Kwanghee Jung,Yoshio Takane et al.
Heungsun Hwang et al.
Multiple-set canonical correlation analysis and principal components analysis are popular data reduction techniques in various fields, including psychology. Both techniques aim to extract a series of weighted composites or components of obs...
Multilevel mediation analysis: The effects of omitted variables in the 1-1-1 model [0.03%]
多水平中介分析：1-1-1模型中遗漏变量的影响
Davood Tofighi,Stephen G West,David P MacKinnon
Davood Tofighi
Multilevel mediation analysis examines the indirect effect of an independent variable on an outcome achieved by targeting and changing an intervening variable in clustered data. We study analytically and through simulation the effects of an...
Peter Baldwin
Peter Baldwin
When two test forms measure the same construct but are independently modelled using item response theory, the two forms' respective metrics cannot be assumed to be equivalent. Thus, before comparing parameter estimates across forms, a linea...