 Connection
James Pustejovsky to Humans
This is a "connection" page, showing publications James Pustejovsky has written about Humans.
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Connection Strength |
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0.305 |
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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.
Score: 0.020
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Chen M, Pustejovsky JE. Multilevel meta-analysis of single-case experimental designs using robust variance estimation. Psychol Methods. 2024 Jun; 29(3):537-560.
Score: 0.019
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Pustejovsky JE, Tipton E. Meta-analysis with Robust Variance Estimation: Expanding the Range of Working Models. Prev Sci. 2022 04; 23(3):425-438.
Score: 0.017
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Pustejovsky JE, Swan DM, English KW. An Examination of Measurement Procedures and Characteristics of Baseline Outcome Data in Single-Case Research. Behav Modif. 2023 11; 47(6):1423-1454.
Score: 0.015
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Pustejovsky JE, Rodgers MA. Testing for funnel plot asymmetry of standardized mean differences. Res Synth Methods. 2019 Mar; 10(1):57-71.
Score: 0.015
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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.
Score: 0.014
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Odom SL, Barton EE, Reichow B, Swaminathan H, Pustejovsky JE. Between-case standardized effect size analysis of single case designs: Examination of the two methods. Res Dev Disabil. 2018 Aug; 79:88-96.
Score: 0.014
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Swan DM, Pustejovsky JE. A Gradual Effects Model for Single-Case Designs. Multivariate Behav Res. 2018 Jul-Aug; 53(4):574-593.
Score: 0.014
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Pustejovsky JE. Using response ratios for meta-analyzing single-case designs with behavioral outcomes. J Sch Psychol. 2018 06; 68:99-112.
Score: 0.014
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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.
Score: 0.011
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Pustejovsky JE. Measurement-comparable effect sizes for single-case studies of free-operant behavior. Psychol Methods. 2015 Sep; 20(3):342-59.
Score: 0.011
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Shadish WR, Hedges LV, Pustejovsky JE. Analysis and meta-analysis of single-case designs with a standardized mean difference statistic: a primer and applications. J Sch Psychol. 2014 Apr; 52(2):123-47.
Score: 0.010
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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.
Score: 0.010
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Treves IN, Chen YY, Wilson CL, Verdonk C, Qina Au J, Pustejovsky JE, Goldberg SB, Mehling W, Schuman-Olivier Z, Khalsa SS. A meta-analysis of the effects of mindfulness meditation training on self-reported interoception. Sci Rep. 2025 Nov 06; 15(1):38889.
Score: 0.006
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Holderness E, Atwood B, Verhagen M, Shinn AK, Cawkwell P, Cerruti H, Pustejovsky J, Hall MH. Machine learning in psychiatric health records: A gold standard approach to trauma annotation. Transl Psychiatry. 2025 Aug 01; 15(1):260.
Score: 0.006
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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.
Score: 0.006
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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.
Score: 0.006
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Sandbank M, Pustejovsky JE, Bottema-Beutel K, Caldwell N, Feldman JI, Crowley LaPoint S, Woynaroski T. Determining Associations Between Intervention Amount and Outcomes for Young Autistic Children: A Meta-Analysis. JAMA Pediatr. 2024 Aug 01; 178(8):763-773.
Score: 0.005
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Poppe A, Ritter FDE, Bais L, Pustejovsky JE, van Tol MJ, Curcic-Blake B, Pijnenborg GHM, van der Meer L. The efficacy of combining cognitive training and noninvasive brain stimulation: A transdiagnostic systematic review and meta-analysis. Psychol Bull. 2024 Feb; 150(2):192-213.
Score: 0.005
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Protzko J, Krosnick J, Nelson L, Nosek BA, Axt J, Berent M, Buttrick N, DeBell M, Ebersole CR, Lundmark S, MacInnis B, O'Donnell M, Perfecto H, Pustejovsky JE, Roeder SS, Walleczek J, Schooler JW. High replicability of newly discovered social-behavioural findings is achievable. Nat Hum Behav. 2024 Feb; 8(2):311-319.
Score: 0.005
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Oved I, Krishnaswamy N, Pustejovsky J, Hartshorne JK. Neither neural networks nor the language-of-thought alone make a complete game. Behav Brain Sci. 2023 09 28; 46:e285.
Score: 0.005
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Reichle J, Pustejovsky JE, Vannest KJ, Foster M, Pierson LM, Wattanawongwan S, Chen M, Fuller MC, Haas AN, Bhat BH, Sallese MR, Smith SD, Yllades V, Rodriguez D, Yoro A, Ganz JB. Systematic Review of Variables Related to Instruction in Augmentative and Alternative Communication Implementation: Group and Single-Case Design. Am J Speech Lang Pathol. 2023 07 10; 32(4):1734-1757.
Score: 0.005
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Chen M, Pustejovsky JE, Klingbeil DA, Van Norman ER. Between-case standardized mean differences: Flexible methods for single-case designs. J Sch Psychol. 2023 06; 98:16-38.
Score: 0.005
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Ganz JB, Pustejovsky JE, Reichle J, Vannest KJ, Foster M, Pierson LM, Wattanawongwan S, Bernal AJ, Chen M, Haas AN, Liao CY, Sallese MR, Skov R, Smith SD. Participant characteristics predicting communication outcomes in AAC implementation for individuals with ASD and IDD: a systematic review and meta-analysis. Augment Altern Commun. 2023 03; 39(1):7-22.
Score: 0.005
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Winters KL, Jasso J, Pustejovsky JE, Byrd CT. Investigating Narrative Performance in Children With Developmental Language Disorder: A Systematic Review and Meta-Analysis. J Speech Lang Hear Res. 2022 Oct 17; 65(10):3908-3929.
Score: 0.005
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Joshi M, Pustejovsky JE, Beretvas SN. Cluster wild bootstrapping to handle dependent effect sizes in meta-analysis with a small number of studies. Res Synth Methods. 2022 Jul; 13(4):457-477.
Score: 0.005
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McLouth LE, Ford CG, Pustejovsky JE, Park CL, Sherman AC, Trevino K, Salsman JM. A systematic review and meta-analysis of effects of psychosocial interventions on spiritual well-being in adults with cancer. Psychooncology. 2021 02; 30(2):147-158.
Score: 0.004
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Salsman JM, Pustejovsky JE, Schueller SM, Hernandez R, Berendsen M, McLouth LES, Moskowitz JT. Psychosocial interventions for cancer survivors: A meta-analysis of effects on positive affect. J Cancer Surviv. 2019 Dec; 13(6):943-955.
Score: 0.004
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Holderness E, Miller N, Cawkwell P, Bolton K, Meteer M, Pustejovsky J, Hall MH. Analysis of risk factor domains in psychosis patient health records. J Biomed Semantics. 2019 10 31; 10(1):19.
Score: 0.004
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Merluzzi TV, Pustejovsky JE, Philip EJ, Sohl SJ, Berendsen M, Salsman JM. Interventions to enhance self-efficacy in cancer patients: A meta-analysis of randomized controlled trials. Psychooncology. 2019 09; 28(9):1781-1790.
Score: 0.004
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Park CL, Pustejovsky JE, Trevino K, Sherman AC, Esposito C, Berendsen M, Salsman JM. Effects of psychosocial interventions on meaning and purpose in adults with cancer: A systematic review and meta-analysis. Cancer. 2019 07 15; 125(14):2383-2393.
Score: 0.004
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Tipton E, Pustejovsky JE, Ahmadi H. Current practices in meta-regression in psychology, education, and medicine. Res Synth Methods. 2019 Jun; 10(2):180-194.
Score: 0.004
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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.
Score: 0.004
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Zimmerman KN, Pustejovsky JE, Ledford JR, Barton EE, Severini KE, Lloyd BP. Single-case synthesis tools II: Comparing quantitative outcome measures. Res Dev Disabil. 2018 Aug; 79:65-76.
Score: 0.004
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Zimmerman KN, Ledford JR, Severini KE, Pustejovsky JE, Barton EE, Lloyd BP. Single-case synthesis tools I: Comparing tools to evaluate SCD quality and rigor. Res Dev Disabil. 2018 Aug; 79:19-32.
Score: 0.004
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Salsman JM, Pustejovsky JE, Park CL, Sherman AC, Merluzzi TV, Danhauer SC, Jim HS, Fitchett G. Reply to the association between religion/spirituality and mental health in cancer. Cancer. 2016 08 01; 122(15):2441-2.
Score: 0.003
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Salsman JM, Pustejovsky JE, Jim HS, Munoz AR, Merluzzi TV, George L, Park CL, Danhauer SC, Sherman AC, Snyder MA, Fitchett G. A meta-analytic approach to examining the correlation between religion/spirituality and mental health in cancer. Cancer. 2015 Nov 01; 121(21):3769-78.
Score: 0.003
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Sherman AC, Merluzzi TV, Pustejovsky JE, Park CL, George L, Fitchett G, Jim HS, Munoz AR, Danhauer SC, Snyder MA, Salsman JM. A meta-analytic review of religious or spiritual involvement and social health among cancer patients. Cancer. 2015 Nov 01; 121(21):3779-88.
Score: 0.003
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Jim HS, Pustejovsky JE, Park CL, Danhauer SC, Sherman AC, Fitchett G, Merluzzi TV, Munoz AR, George L, Snyder MA, Salsman JM. Religion, spirituality, and physical health in cancer patients: A meta-analysis. Cancer. 2015 Nov 01; 121(21):3760-8.
Score: 0.003
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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.
Score: 0.003
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Shadish WR, Hedges LV, Pustejovsky JE, Boyajian JG, Sullivan KJ, Andrade A, Barrientos JL. A d-statistic for single-case designs that is equivalent to the usual between-groups d-statistic. Neuropsychol Rehabil. 2014; 24(3-4):528-53.
Score: 0.003
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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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