Commentary on “Science V. Significance: Examining the Role and Application of Statistical Significance Testing in Public Administration Research”

Davis R. S. , & Stazyk E. C. (2017). Putting the methodological cart before the theoretical horse? Examining the application of SEM to connect theory and method in public administration research. Review of Public Personnel Administration, 37(2), 202–218.

Kline R. B. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. Washington DC: American Psychological Association.

Kline R.B. (2013). Beyond significance testing: Reforming data analysis methods in behavioral research. (2nd ed.). Washington DC: American Psychological Association.

MacCallum R. C. , Browne M. W. , & Sugawara H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130–149.

Pandey S. K. (2017). Theory and method in public administration. Review of Public Personnel Administration, 37(2), 131–138.

Preacher K. J. , & Coffman D. L. (2006, May). Computing power and minimum sample size for RMSEA [Computer software]. Available from http://quantpsy.org/.