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Connection

James Pustejovsky to Models, Statistical

This is a "connection" page, showing publications James Pustejovsky has written about Models, Statistical.

 
Connection Strength
 
 
 
3.421
 
  1. Lee YR, Pustejovsky JE. Comparing random effects models, ordinary least squares, or fixed effects with cluster robust standard errors for cross-classified data. Psychol Methods. 2024 Dec; 29(6):1084-1099.
    View in: PubMed
    Score: 0.585
  2. Chen M, Pustejovsky JE. Multilevel meta-analysis of single-case experimental designs using robust variance estimation. Psychol Methods. 2024 Jun; 29(3):537-560.
    View in: PubMed
    Score: 0.558
  3. Pustejovsky JE. Procedural sensitivities of effect sizes for single-case designs with directly observed behavioral outcome measures. Psychol Methods. 2019 Apr; 24(2):217-235.
    View in: PubMed
    Score: 0.421
  4. Swan DM, Pustejovsky JE. A Gradual Effects Model for Single-Case Designs. Multivariate Behav Res. 2018 Jul-Aug; 53(4):574-593.
    View in: PubMed
    Score: 0.419
  5. Pustejovsky JE, Swan DM. Four Methods for Analyzing Partial Interval Recording Data, with Application to Single-Case Research. Multivariate Behav Res. 2015; 50(3):365-80.
    View in: PubMed
    Score: 0.332
  6. Pustejovsky JE. Measurement-comparable effect sizes for single-case studies of free-operant behavior. Psychol Methods. 2015 Sep; 20(3):342-59.
    View in: PubMed
    Score: 0.316
  7. Pustejovsky JE. Converting from d to r to z when the design uses extreme groups, dichotomization, or experimental control. Psychol Methods. 2014 Mar; 19(1):92-112.
    View in: PubMed
    Score: 0.304
  8. Grekov P, Pustejovsky JE, Klingbeil DA. Flexible distributional models for meta-analysis of reading fluency outcomes from single-case designs: An examination using Bayesian methods. J Sch Psychol. 2025 06; 110:101429.
    View in: PubMed
    Score: 0.169
  9. Vembye MH, Pustejovsky JE, Pigott TD. Conducting power analysis for meta-analysis with dependent effect sizes: Common guidelines and an introduction to the POMADE R package. Res Synth Methods. 2024 Nov; 15(6):1214-1230.
    View in: PubMed
    Score: 0.163
  10. Pustejovsky JE, Rodgers MA. Testing for funnel plot asymmetry of standardized mean differences. Res Synth Methods. 2019 Mar; 10(1):57-71.
    View in: PubMed
    Score: 0.110
  11. Tipton E, Pustejovsky JE, Ahmadi H. A history of meta-regression: Technical, conceptual, and practical developments between 1974 and 2018. Res Synth Methods. 2019 Jun; 10(2):161-179.
    View in: PubMed
    Score: 0.028
  12. Hedges LV, Pustejovsky JE, Shadish WR. A standardized mean difference effect size for multiple baseline designs across individuals. Res Synth Methods. 2013 Dec; 4(4):324-41.
    View in: PubMed
    Score: 0.019
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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