선형 혼합효과 모형에서 실험조건 효과 검정을 위한 절차 비교

' 선형 혼합효과 모형에서 실험조건 효과 검정을 위한 절차 비교' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 1종오류
  • Type I error
  • experimental data
  • linear mixed-effects models
  • monte carlo simulation
  • parameter recovery
  • power
  • 검정력
  • 모수복구
  • 몬테카를로 시뮬레이션
  • 선형 혼합 효과 모형
  • 실험자료
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
660 0

0.0%

' 선형 혼합효과 모형에서 실험조건 효과 검정을 위한 절차 비교' 의 참고문헌

  • 실험데이터 분석을 위한 선형 혼합효과 모형
    이우열 [2020]
  • Treating stimuli as a random factor in social psychology: A new and comprehensive solution to a pervasive but largely ignored problem
    Judd, C. M. [2012]
  • The impact of misspecifying the within-subject covariance structure in multiwave longitudinal multilevel models: A Monte Carlo study
  • The effects of violations of independence assumptions in the One-way ANOVA
  • The beginning of the Monte Carlo method
  • Sufficient sample sizes for multilevel modeling
  • Studies in crop variation: 1. An examination of the yield of dressed grain from broadbalk
  • Stepwise regression in social and psychological research
  • Statistical Power Analysis for the Behavioral Sciences
    Cohen , J [1988]
  • Specifying the random effect structure in linear mixed effect models for analyzing psycholinguistic data
    Park, J. [2020]
  • Some notes on misspecification in multiple regressions
    Rao, P. [1971]
  • Selecting the best linear mixed model under REML
  • Robust tests for equality of variances
  • Random effects structure for confirmatory hypothesis testing: Keep it maximal
    Barr, D. J. [2013]
  • Random effect and latent variable model selection
    Zhang, D. [2008]
  • Parsimonious mixed models
  • On some asymptotic properties of maximum likelihood estimates and related Bayes' estimates
    LeCam, L. [1953]
  • Note on the consistency of the maximum likelihood estimate
    Wald, A. [1949]
  • New Methods in Cognitive Psychology
  • Multilevel analysis: An introduction to basic and advanced multilevel modeling
  • Mixed-effects models in S and S-PLUS
  • Mixed-effects modeling with crossed random effects for subjects and items
    Baayen, H. [2008]
  • Linear mixed-effects models for within-participant psychology experiments:An introductory tutorial and free, graphical user interface (LMMgui)
  • Likelihood ratio, score, and Wald tests in a constrained parameter space
  • How to deal with “The language-as-fixed-effect fallacy”:Common misconceptions and alternative solutions
  • Hierarchical Linear Models: Applications and Data Analysis Methods
  • Fitting linear mixed-effects models using lme4
    Bates, D. [2015]
  • Evaluating significance in linear mixed-effects models in R
    Luke, S. G. [2017]
  • Designing experiments and analyzing data
  • Data analysis using regression and multilevel/hierarchical models
    Gelman, A. [2007]
  • Consequences of assumption violation revisited. A quantitative review of alternatives to the one-way analysis of variance F test
    Lix, L. M. [1996]
  • Comparison of ANOVA alternatives under variance heterogeneity and specific noncentrality structures
  • Best practice guidance for linear mixed-effects models in psychological science
  • Balancing Type I error and power in linear mixed models
  • Avoiding bias in mixed model inference for fixed effects
  • An introduction to linear mixed-effects modeling in R
  • A linear mixed-effects model with heterogeneity in the random-effects population
    Verbeke, G. [1996]
  • A fully conditional specification approach to multilevel imputation of categorical and continuous variables