These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 29869223)

  • 1. Testing moderator hypotheses in meta-analytic structural equation modeling using subgroup analysis.
    Jak S; Cheung MW
    Behav Res Methods; 2018 Aug; 50(4):1359-1373. PubMed ID: 29869223
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Random-effects models for meta-analytic structural equation modeling: review, issues, and illustrations.
    Cheung MW; Cheung SF
    Res Synth Methods; 2016 Jun; 7(2):140-55. PubMed ID: 27286900
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Meta-analytic structural equation modeling with moderating effects on SEM parameters.
    Jak S; Cheung MW
    Psychol Methods; 2020 Aug; 25(4):430-455. PubMed ID: 31670537
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Meta-analytic structural equation modeling made easy: A tutorial and web application for one-stage MASEM.
    Jak S; Li H; Kolbe L; de Jonge H; Cheung MW
    Res Synth Methods; 2021 Sep; 12(5):590-606. PubMed ID: 34043279
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fixed- and random-effects meta-analytic structural equation modeling: examples and analyses in R.
    Cheung MW
    Behav Res Methods; 2014 Mar; 46(1):29-40. PubMed ID: 23807765
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Issues in solving the problem of effect size heterogeneity in meta-analytic structural equation modeling: A commentary and simulation study on Yu, Downes, Carter, and O'Boyle (2016).
    Cheung MW
    J Appl Psychol; 2018 Jul; 103(7):787-803. PubMed ID: 29985024
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accounting for Missing Correlation Coefficients in Fixed-Effects MASEM.
    Jak S; Cheung MW
    Multivariate Behav Res; 2018; 53(1):1-14. PubMed ID: 29220593
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A tutorial on the meta-analytic structural equation modeling of reliability coefficients.
    Scherer R; Teo T
    Psychol Methods; 2020 Dec; 25(6):747-775. PubMed ID: 32134314
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Maximum likelihood estimation in meta-analytic structural equation modeling.
    Oort FJ; Jak S
    Res Synth Methods; 2016 Jun; 7(2):156-67. PubMed ID: 27286901
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A comparative study of the impacts of unbalanced sample sizes on the four synthesized methods of meta-analytic structural equation modeling.
    Alamolhoda M; Ayatollahi SMT; Bagheri Z
    BMC Res Notes; 2017 Sep; 10(1):446. PubMed ID: 28877742
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The problem of effect size heterogeneity in meta-analytic structural equation modeling.
    Yu JJ; Downes PE; Carter KM; O'Boyle EH
    J Appl Psychol; 2016 Oct; 101(10):1457-1473. PubMed ID: 27504654
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applications of meta-analytic structural equation modelling in health psychology: examples, issues, and recommendations.
    Cheung MW; Hong RY
    Health Psychol Rev; 2017 Sep; 11(3):265-279. PubMed ID: 28625100
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The heterogeneity problem in meta-analytic structural equation modeling (MASEM) revisited: A reply to Cheung.
    Yu JJ; Downes PE; Carter KM; O'Boyle E
    J Appl Psychol; 2018 Jul; 103(7):804-811. PubMed ID: 29985025
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Meta-analytic Structural Equation Modeling to Study Developmental Change in Relations Between Language and Literacy.
    Quinn JM; Wagner RK
    Child Dev; 2018 Nov; 89(6):1956-1969. PubMed ID: 29484642
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Some reflections on combining meta-analysis and structural equation modeling.
    Cheung MW
    Res Synth Methods; 2019 Mar; 10(1):15-22. PubMed ID: 30175903
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Primer on Meta-Analytic Structural Equation Modeling: the Case of Depression.
    Valentine JC; Cheung MW; Smith EJ; Alexander O; Hatton JM; Hong RY; Huckaby LT; Patton SC; Pössel P; Seely HD
    Prev Sci; 2022 Apr; 23(3):346-365. PubMed ID: 34708309
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fitting meta-analytic structural equation models with complex datasets.
    Wilson SJ; Polanin JR; Lipsey MW
    Res Synth Methods; 2016 Jun; 7(2):121-39. PubMed ID: 27286899
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dataset of parenting practices, self-control and anti-social behaviors: Meta-analytic structural equation modeling.
    Tehrani HD; Yamini S
    Data Brief; 2020 Oct; 32():106114. PubMed ID: 32904366
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Meta-analytic structural equation modeling: a two-stage approach.
    Cheung MW; Chan W
    Psychol Methods; 2005 Mar; 10(1):40-64. PubMed ID: 15810868
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analyzing matrices of meta-analytic correlations: current practices and recommendations.
    Sheng Z; Kong W; Cortina JM; Hou S
    Res Synth Methods; 2016 Jun; 7(2):187-208. PubMed ID: 27286903
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.