IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v116y2018i3d10.1007_s11192-018-2832-5.html
   My bibliography  Save this article

Comparing the research productivity of social work doctoral programs using the h-Index

Author

Listed:
  • Thomas E. Smith

    (Florida State University)

  • Kat S. Jacobs

    (Florida State University)

  • Philip J. Osteen

    (The University of Utah)

  • T. Edison Carter

    (Florida State University)

Abstract

The purpose of the study was to examine the productivity of faculty in social work doctoral programs. This study builds on previous investigations on the scholarship of social work faculty using the h-Index (i.e., citation analysis). This study examined the scholarly productivity of the full population (N = 1699) of tenure-track faculty in all 76 United States social work doctoral programs by analyzing the h-Index scores of each program. Information on funding sources, regional location, year of establishment, and faculty demographics was collected to better understand why faculty and programs differ in their h-Index. A hierarchical regression analysis was used in creating a predictive model. The final model explained 51% of the variance in h-Index scores (R2 = .51). Academic rank was the strongest predictor of school h-Index. Each school’s faculty size, gender proportion, region, college age, and auspice also contributed to the predictive power of the model. The proportion of senior faculty (Associate Professors and Full Professors) and college age were the strongest predictors based on standardized regression coefficients. The finding that academic rank contributed the most variance to the regression model provides empirical support to the long-argued importance of publication in career advancement. The overall results of the model confirm that institutional factors such as faculty size, region, and auspice do have unique effects on research productivity even after accounting for individual level differences in faculty across diverse social work programs.

Suggested Citation

  • Thomas E. Smith & Kat S. Jacobs & Philip J. Osteen & T. Edison Carter, 2018. "Comparing the research productivity of social work doctoral programs using the h-Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1513-1530, September.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:3:d:10.1007_s11192-018-2832-5
    DOI: 10.1007/s11192-018-2832-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2832-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-018-2832-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. T. Edison Carter & Thomas E. Smith & Philip J. Osteen, 2017. "Gender comparisons of social work faculty using H-Index scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1547-1557, June.
    2. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    3. Jordan, John M. & Meador, Mark & Walters, Stephen J. K., 1989. "Academic research productivity, department size and organization: Further results," Economics of Education Review, Elsevier, vol. 8(4), pages 345-352, August.
    4. Lisa Geraci & Steve Balsis & Alexander J. Busch Busch, 2015. "Gender and the h index in psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2023-2034, December.
    5. Anne‐Wil Harzing & Ron van der Wal, 2009. "A Google Scholar h‐index for journals: An alternative metric to measure journal impact in economics and business," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(1), pages 41-46, January.
    6. Andrea Diem & Stefan C. Wolter, 2011. "The Use of Bibliometrics to Measure Research Performance in Education Sciences," Economics of Education Working Paper Series 0066, University of Zurich, Department of Business Administration (IBW), revised May 2013.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bhoomika N. Jadhav & E. P. Abdul Azeez & Nishtha Mishra & A. P. Senthil Kumar, 2024. "Research Productivity and Publishing Trends in Publicly Funded Social Work and Psychology Schools in India: A Bibliometric Analysis," SAGE Open, , vol. 14(2), pages 21582440241, April.
    2. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    3. María José Foncubierta-Rodríguez & Fernando Martín-Alcázar & José Luis Perea-Vicente, 2023. "A typology of principal investigators based on their human capital: an exploratory analysis," The Journal of Technology Transfer, Springer, vol. 48(3), pages 932-954, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jennifer A. Horney & Adam Bitunguramye & Shazia Shaukat & Zackery White, 2024. "Gender and the h-index in epidemiology," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3725-3733, July.
    2. João M. Santos & Hugo Horta & Huan Li, 2022. "Are the strategic research agendas of researchers in the social sciences determinants of research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3719-3747, July.
    3. Nunkoo, Robin & Hall, C. Michael & Rughoobur-Seetah, Soujata & Teeroovengadum, Viraiyan, 2019. "Citation practices in tourism research: Toward a gender conscientious engagement," Annals of Tourism Research, Elsevier, vol. 79(C).
    4. Andrés Rodríguez-Pose & Michael Storper, 2020. "Housing, urban growth and inequalities: The limits to deregulation and upzoning in reducing economic and spatial inequality," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 223-248, February.
    5. repec:spo:wpmain:info:hdl:2441/6s39gt704s95upu27ma7s3p6q8 is not listed on IDEAS
    6. M. Shahe Emran & Francisco H. G. Ferreira & Yajing Jiang & Yan Sun, 2023. "Occupational dualism and intergenerational educational mobility in the rural economy: evidence from China and India," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 743-773, September.
    7. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    8. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    9. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    10. Simon Halphen Boserup & Wojciech Kopczuk & Claus Thustrup Kreiner, 2018. "Born with a Silver Spoon? Danish Evidence on Wealth Inequality in Childhood," Economic Journal, Royal Economic Society, vol. 128(612), pages 514-544, July.
    11. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    12. Zhang, Cheng & Weng, Xiyan, 2024. "Can broadband infrastructure construction promote equality of opportunity? Evidence from a quasi-natural experiment in China☆," Journal of Asian Economics, Elsevier, vol. 93(C).
    13. Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
    14. Bachas, Pierre & Fattal Jaef, Roberto N. & Jensen, Anders, 2019. "Size-dependent tax enforcement and compliance: Global evidence and aggregate implications," Journal of Development Economics, Elsevier, vol. 140(C), pages 203-222.
    15. Chong Lu, 2022. "The effect of migration on rural residents’ intergenerational subjective social status mobility in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3279-3308, October.
    16. Becker, Sascha O. & Boll, P. David & Voth, Hans-Joachim, 2025. "Spatial Unit Roots in Regressions: A Practitioner's Guide and a Stata Package," IZA Discussion Papers 17651, Institute of Labor Economics (IZA).
    17. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    18. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    19. Sandra E. Black & Jeffrey T. Denning & Jesse Rothstein, 2023. "Winners and Losers? The Effect of Gaining and Losing Access to Selective Colleges on Education and Labor Market Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 15(1), pages 26-67, January.
    20. Dodin, Majed & Findeisen, Sebastian & Henkel, Lukas & Sachs, Dominik & Schüle, Paul, 2024. "Social mobility in Germany," Journal of Public Economics, Elsevier, vol. 232(C).
    21. Neidhöfer, Guido & Serrano, Joaquín & Gasparini, Leonardo, 2018. "Educational inequality and intergenerational mobility in Latin America: A new database," Journal of Development Economics, Elsevier, vol. 134(C), pages 329-349.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:116:y:2018:i:3:d:10.1007_s11192-018-2832-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.