Factors Influencing Research Productivity at Njala University: A Count Regression Approach
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- Cameron,A. Colin & Trivedi,Pravin K., 2013.
"Regression Analysis of Count Data,"
Cambridge Books,
Cambridge University Press, number 9781107667273, January.
- Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107014169, January.
- Lawrence R. Jauch & William F. Glueck, 1975. "Evaluation of University Professors' Research Performance," Management Science, INFORMS, vol. 22(1), pages 66-75, September.
- Gonzalez-Brambila, Claudia & Veloso, Francisco M., 2007. "The determinants of research output and impact: A study of Mexican researchers," Research Policy, Elsevier, vol. 36(7), pages 1035-1051, September.
- Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
- Grant Lewison, 2001. "The quantity and quality of female researchers: A bibliometric study of Iceland," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(1), pages 29-43, September.
- Meador, Mark & Walters, Stephen J. K. & Jordan, John M., 1992. "Academic research productivity: Reply, still further results," Economics of Education Review, Elsevier, vol. 11(2), pages 161-167, June.
- María Bordons & Fernanda Morillo & M. Teresa Fernández & Isabel Gómez, 2003. "One step further in the production of bibliometric indicators at the micro level: Differences by gender and professional category of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 159-173, June.
- Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
- A. Baccini & L. Barabesi & M. Cioni & C. Pisani, 2014. "Crossing the hurdle: the determinants of individual scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 2035-2062, December.
- Rørstad, Kristoffer & Aksnes, Dag W., 2015. "Publication rate expressed by age, gender and academic position – A large-scale analysis of Norwegian academic staff," Journal of Informetrics, Elsevier, vol. 9(2), pages 317-333.
- Franz Barjak, 2006. "Research productivity in the internet era," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 343-360, September.
- Jordi Duch & Xiao Han T Zeng & Marta Sales-Pardo & Filippo Radicchi & Shayna Otis & Teresa K Woodruff & Luís A Nunes Amaral, 2012. "The Possible Role of Resource Requirements and Academic Career-Choice Risk on Gender Differences in Publication Rate and Impact," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-11, December.
- Jiang Wu, 2013. "Geographical knowledge diffusion and spatial diversity citation rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 181-201, January.
- Nile W. Hatch & Jeffrey H. Dyer, 2004. "Human capital and learning as a source of sustainable competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 25(12), pages 1155-1178, December.
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