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James E. Pustejovsky

Personal Details

First Name:James
Middle Name:E.
Last Name:Pustejovsky
Suffix:
RePEc Short-ID:ppu123
[This author has chosen not to make the email address public]
http://jepusto.github.io/

Affiliation

University of Texas-Austin, Educational Psychology Department

https://education.utexas.edu/departments/educational-psychology
USA, Austin, TX
1912 Speedway STE 504, Austin, TX 78712-1289
(512) 471-4155

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri, 2022. "Power Approximations for Meta-Analysis of Dependent Effect Sizes," MetaArXiv 6tp9y, Center for Open Science.
  2. Joshi, Megha & Pustejovsky, James E & Beretvas, S. Natasha, 2021. "Cluster Wild Bootstrapping to Handle Dependent Effect Sizes in Meta-Analysis with a Small Number of Studies," MetaArXiv x6uhk, Center for Open Science.
  3. Pustejovsky, James E & Tipton, Elizabeth, 2020. "Meta-Analysis with Robust Variance Estimation: Expanding the Range of Working Models," MetaArXiv vyfcj, Center for Open Science.

Articles

  1. James E. Pustejovsky & Elizabeth Tipton, 2018. "Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 672-683, October.
  2. Jeffrey C. Valentine & Emily E. Tanner‐Smith & James E. Pustejovsky & T. S. Lau, 2016. "Between‐case standardized mean difference effect sizes for single‐case designs: a primer and tutorial using the scdhlm web application," Campbell Systematic Reviews, John Wiley & Sons, vol. 12(1), pages 1-31.
  3. Elizabeth Tipton & James E. Pustejovsky, 2015. "Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression," Journal of Educational and Behavioral Statistics, , vol. 40(6), pages 604-634, December.
  4. James E. Pustejovsky & Larry V. Hedges & William R. Shadish, 2014. "Design-Comparable Effect Sizes in Multiple Baseline Designs," Journal of Educational and Behavioral Statistics, , vol. 39(5), pages 368-393, October.

Software components

  1. Marcelo Tyszler & James E. Pustejovsky & Elizabeth Tipton, 2017. "REG_SANDWICH: Stata module to compute cluster-robust (sandwich) variance estimators with small-sample corrections for linear regression," Statistical Software Components S458352, Boston College Department of Economics, revised 31 May 2017.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Pustejovsky, James E & Tipton, Elizabeth, 2020. "Meta-Analysis with Robust Variance Estimation: Expanding the Range of Working Models," MetaArXiv vyfcj, Center for Open Science.

    Cited by:

    1. Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri, 2022. "Power Approximations for Meta-Analysis of Dependent Effect Sizes," MetaArXiv 6tp9y, Center for Open Science.

Articles

  1. James E. Pustejovsky & Elizabeth Tipton, 2018. "Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 672-683, October.

    Cited by:

    1. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2019. "Synthetic Controls with Staggered Adoption," Papers 1912.03290, arXiv.org, revised Jan 2021.
    2. James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
    3. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LP, vol. 23(4), pages 942-982, December.
    4. James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
    5. Harris, Douglas N. & Liu, Lihan & Barrett, Nathan & Li, Ruoxi, 2023. "Is the rise in high school graduation rates real? High-stakes school accountability and strategic behavior," Labour Economics, Elsevier, vol. 82(C).
    6. Thomas S. Dee & Emily K. Penner, 2021. "My Brother's Keeper? The Impact of Targeted Educational Supports," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1171-1196, September.
    7. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Working Paper 1485, Economics Department, Queen's University.
    8. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
    9. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    10. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    11. Welz, Thilo & Viechtbauer, Wolfgang & Pauly, Markus, 2023. "Cluster-robust estimators for multivariate mixed-effects meta-regression," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    12. John O'Trakoun, 2018. "The impact of trade on growth in the Great Lakes states," Economics Bulletin, AccessEcon, vol. 38(4), pages 1845-1856.
    13. James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Working Paper 1413, Economics Department, Queen's University.
    14. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    15. Lluc Puig-Codina & Jaime Pinilla & Jaume Puig-Junoy, 2021. "The impact of taxing sugar-sweetened beverages on cola purchasing in Catalonia: an approach to causal inference with time series cross-sectional data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 155-168, February.
    16. David Blazar & Blake Heller & Thomas J. Kane & Morgan Polikoff & Douglas O. Staiger & Scott Carrell & Dan Goldhaber & Douglas N. Harris & Rachel Hitch & Kristian L. Holden & Michal Kurlaender, 2020. "Curriculum Reform in The Common Core Era: Evaluating Elementary Math Textbooks Across Six U.S. States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 966-1019, September.
    17. Francis L. Huang, 2022. "Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations," Journal of Educational and Behavioral Statistics, , vol. 47(1), pages 101-125, February.
    18. Harold Doran, 2023. "A Collection of Numerical Recipes Useful for Building Scalable Psychometric Applications," Journal of Educational and Behavioral Statistics, , vol. 48(1), pages 37-69, February.
    19. Tyler E. Smith & Aaron M. Thompson & Brandy R. Maynard, 2022. "Self‐management interventions for reducing challenging behaviors among school‐age students: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.
    20. Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
    21. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
    22. Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).
    23. Baule, Rainer & Münchhalfen, Patrick & Shkel, David & Tallau, Christian, 2023. "Fair-washing in the market for structured retail products? Voluntary self-regulation versus government regulation," Journal of Banking & Finance, Elsevier, vol. 148(C).
    24. Salvatore Nunnari & Massimiliano Pozzi, 2022. "Meta-Analysis of Inequality Aversion Estimates," CESifo Working Paper Series 9851, CESifo.
    25. Minnich, Aljoscha & Rau, Holger A. & Schlüter, Jan, 2020. "The effects of financial and non-financial incentives on the demand for a sustainable DRT system," University of Göttingen Working Papers in Economics 394, University of Goettingen, Department of Economics.
    26. Latha Velayudhan & Katie McGoohan & Sagnik Bhattacharyya, 2021. "Safety and tolerability of natural and synthetic cannabinoids in adults aged over 50 years: A systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-42, March.
    27. Yuki Takahashi, 2020. "The Role of Gender and Cognitive Skills on Other People's Generosity," Papers 2012.04591, arXiv.org, revised Oct 2021.
    28. Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2017. "Validity Of Wild Bootstrap Inference With Clustered Errors," Working Paper 1383, Economics Department, Queen's University.
    29. Áine Aventin & Martin Robinson & Jennifer Hanratty & Ciara Keenan & Jayne Hamilton & Eimear Ruane McAteer & Mark Tomlinson & Mike Clarke & Friday Okonofua & Chris Bonell & Maria Lohan, 2023. "Involving men and boys in family planning: A systematic review of the effective components and characteristics of complex interventions in low‐ and middle‐income countries," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(1), March.

  2. Elizabeth Tipton & James E. Pustejovsky, 2015. "Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression," Journal of Educational and Behavioral Statistics, , vol. 40(6), pages 604-634, December.

    Cited by:

    1. Nina T. Dalgaard & Maya C. Flensborg Jensen & Elizabeth Bengtsen & Karl F. Krassel & Mikkel H. Vembye, 2022. "PROTOCOL: Group‐based community interventions to support the social reintegration of marginalised adults with mental illness," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(3), September.
    2. Jens Dietrichson & Morten Kjær Thomsen & Julie Kaas Seerup & Martin Williams Strandby & Bjørn Christian Arleth Viinholt & Elizabeth Bengtsen, 2022. "PROTOCOL: School‐based language, math, and reading interventions for executive functions in children and adolescents: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(3), September.
    3. Jared Coopersmith & Thomas D. Cook & Jelena Zurovac & Duncan Chaplin & Lauren V. Forrow, 2022. "Internal And External Validity Of The Comparative Interrupted Time‐Series Design: A Meta‐Analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 252-277, January.
    4. Welz, Thilo & Viechtbauer, Wolfgang & Pauly, Markus, 2023. "Cluster-robust estimators for multivariate mixed-effects meta-regression," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    5. Pustejovsky, James E & Tipton, Elizabeth, 2020. "Meta-Analysis with Robust Variance Estimation: Expanding the Range of Working Models," MetaArXiv vyfcj, Center for Open Science.
    6. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    7. Ciara Keenan & Sarah Miller & Jennifer Hanratty & Therese D. Pigott & Peter Mackie & John Cowman & Christopher Coughlan & Jayne Hamilton & Suzanne Fitzpatrick, 2020. "PROTOCOL: Accommodation‐based interventions for individuals experiencing, or at risk of experiencing, homelessness," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(3), September.
    8. Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri, 2022. "Power Approximations for Meta-Analysis of Dependent Effect Sizes," MetaArXiv 6tp9y, Center for Open Science.
    9. Tyler E. Smith & Aaron M. Thompson & Brandy R. Maynard, 2022. "Self‐management interventions for reducing challenging behaviors among school‐age students: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.
    10. Jens Dietrichson & Trine Filges & Rasmus H. Klokker & Bjørn C. A. Viinholt & Martin Bøg & Ulla H. Jensen, 2020. "Targeted school‐based interventions for improving reading and mathematics for students with, or at risk of, academic difficulties in Grades 7–12: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(2), June.
    11. Jennifer Hanratty & Ciara Keenan & Sean O'Connor & Sarah Miller & Declan Bradley & Martin Dempster, 2022. "PROTOCOL: Psychological and psychosocial determinants of COVID Health Related Behaviours (COHeRe): A suite of systematic reviews and an evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.
    12. Sarah Miller & Ciara Keenan & Jennifer Hanratty & Jayne Hamilton & Christopher Coughlan & Peter Mackie & Suzanne Fitzpatrick & Alan Maddock, 2020. "PROTOCOL: Improving access to health and social services for individuals experiencing, or at risk of experiencing, homelessness," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(4), December.
    13. John Protzko & Jon Krosnick & Leif Nelson & Brian A. Nosek & Jordan Axt & Matt Berent & Nicholas Buttrick & Matthew DeBell & Charles R. Ebersole & Sebastian Lundmark & Bo MacInnis & Michael O’Donnell , 2024. "High replicability of newly discovered social-behavioural findings is achievable," Nature Human Behaviour, Nature, vol. 8(2), pages 311-319, February.
    14. Jennifer Hanratty & Sarah Miller & Ciara Keenan & John Cowman & Jayne Hamilton & Peter Mackie, 2020. "PROTOCOL: Discharge programmes for individuals experiencing, or at risk of experiencing, homelessness: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(3), September.
    15. Waheed, Hassam, 2023. "Nudging smokers away from lighting up: A meta-analysis of framing effect in current smokers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    16. Ciara Keenan & Sarah Miller & Jennifer Hanratty & Terri Pigott & Jayne Hamilton & Christopher Coughlan & Peter Mackie & Suzanne Fitzpatrick & John Cowman, 2021. "Accommodation‐based interventions for individuals experiencing, or at risk of experiencing, homelessness," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    17. Latha Velayudhan & Katie McGoohan & Sagnik Bhattacharyya, 2021. "Safety and tolerability of natural and synthetic cannabinoids in adults aged over 50 years: A systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-42, March.
    18. Mikkel Helding Vembye & James Eric Pustejovsky & Therese Deocampo Pigott, 2023. "Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes," Journal of Educational and Behavioral Statistics, , vol. 48(1), pages 70-102, February.
    19. Morten K. Thomsen & Julie K. Seerup & Jens Dietrichson & Anja Bondebjerg & Bjørn C. A. Viinholt, 2022. "PROTOCOL: Testing frequency and student achievement: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.

  3. James E. Pustejovsky & Larry V. Hedges & William R. Shadish, 2014. "Design-Comparable Effect Sizes in Multiple Baseline Designs," Journal of Educational and Behavioral Statistics, , vol. 39(5), pages 368-393, October.

    Cited by:

    1. Seang-Hwane Joo & Yan Wang & John Ferron & S. Natasha Beretvas & Mariola Moeyaert & Wim Van Den Noortgate, 2022. "Comparison of Within- and Between-Series Effect Estimates in the Meta-Analysis of Multiple Baseline Studies," Journal of Educational and Behavioral Statistics, , vol. 47(2), pages 131-166, April.

Software components

  1. Marcelo Tyszler & James E. Pustejovsky & Elizabeth Tipton, 2017. "REG_SANDWICH: Stata module to compute cluster-robust (sandwich) variance estimators with small-sample corrections for linear regression," Statistical Software Components S458352, Boston College Department of Economics, revised 31 May 2017.

    Cited by:

    1. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2022-02-21 2022-02-21
  2. NEP-EXP: Experimental Economics (1) 2022-02-21

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