The purpose of this study was to investigate a set of teacher-level factors that educator preparation providers (EPPs) may be examining to anticipate how effective teachers might be in the classroom. An ordinal logistic regression was performed to determine impact on teacher effectiveness, given five predictor variables: level (undergraduate vs. graduate), age, GPA, ACT, and Praxis II scores. The findings demonstrated that only level made a significant individual contribution to prediction, suggesting that undergraduate students were less likely to have higher teacher effectiveness scores than graduate students. The major implication for states may be to evaluate EPPs and their abilities to impact the quality of preservice teacher candidates separately based on whether they serve primarily undergraduate or graduate student populations.
AgrestiA. (2002). Categorical data analysis. New York, NY: John Wiley and Sons.
2.
American Educational Research Association. (2005). The policy report of the AERA panel on research and teacher education. Mahwah, NJ: Lawrence Erlbaum.
3.
BoydDLankfordHLoebSWyckoffJ. (2005). Explaining the short careers of high-achieving teachers in schools with low-performing students. American Economic Review, 95(2), 166–171.doi:10.1257/000282805774669628
4.
CarrollSReichardtRGuarinoC. MMejiaA. (2000). The distribution of teachers among California’s school districts and schools. Santa Monica, CA: RAND.
5.
Cochran-SmithM. (2005). Studying teacher education: What we know and what we need to know. Journal of Teacher Education, 56(4), 301–306.
6.
CollinsCAmrein-BeardsleyA. (2014). Putting growth and value-added models on the map: A national overview. Teachers College Record, 16(1), 1–34.
Darling-HammondL. (2006b). Powerful teacher education. San Francisco, CA: Jossey-Bass.
9.
Darling-HammondL. (2015). Can value added add value to teacher evaluation?Educational Researcher, 44(2), 132–137.doi:10.3102/0013189X15575346
10.
EhrenbergR. GBrewerD. J. (1994). Do school and teacher characteristics matter? Evidence from high school and beyond. Economics of Education Review, 13(1), 1–17.doi:10.1016/0272-7757(94)90019-1
11.
EhrenbergR. GGoldhaberD. DBrewerD. J. (1995). Do teachers’ race, gender, and ethnicity matter? Evidence from the National educational longitudinal study of 1988. ILR Review, 48(3), 547–561.doi:10.1177/001979399504800312
12.
FergusonR. F. (1998). Can schools narrow the Black-White test score gap?InJencksCPhillipsM (Eds.), The Black-White test score gap (pp.318–374). Washington, DC: Brookings Institution.
FriedmanI. A. (2000). Burnout in teachers: Shattered dreams of impeccable professional performance. Journal of Clinical Psychology, 56(5), 595–606.
15.
GitomerD. HLathamA. SZiomekR. (1999). The academic quality of prospective teachers: The impact of admissions and licensure testing. Princeton, NJ: Educational Testing Service.
16.
GoldhaberD. DBrewerD. J. (1997a). Why don’t schools and teachers seem to matter? Assessing the impact of unobservables on educational productivity. The Journal of Human Resources, 32(3), 505–523.doi:10.2307/146181
17.
GoldhaberD. DBrewerD. J. (1997b). Evaluating the effect of teacher degree level on educational performance. InFowlerW. J (Ed.), Developments in school finance (Vol. 1996, pp.197–210). Washington, DC: National Center for Education Statistics, U.S. Department of Education.
18.
GoldhaberD. DHansenM. (2009). Assessing the potential of using value-added estimates of teacher job performance for making tenure decisions. Seattle, WA: Center on Reinventing Public Education.
19.
GrantCSecadaW. (1990). Handbook of research on teacher education. New York, NY: Macmillan.
20.
GreenwaldRHedgesL. VLaineR. D. (1996). The effect of school resources on student achievement. Review of Educational Research, 66(3), 361–396.doi:10.3102/00346543066003361
21.
HanushekE. AKainJ. FRivkinS. G. (2004). Why public schools lose teachers. The Journal of Human Resources, 39(2), 326–354.doi:10.2307/3559017
22.
HenkeRZahnLCarrollC. D. (2001). Attrition of new teachers among recent college graduates: comparing occupational stability among 1992–1993 college graduates who taught and those who worked in other occupations. Washington, DC: National Center for Education Statistics.
23.
HinkleD. EWiersmaWJursS. G. (2003). Applied statistics for the behavioral sciences (5th ed.). Boston, MA: Houghton Mifflin Company.
24.
JohnsonS. MBirkelandS. E. (2003). Pursuing a ‘sense of success’: New teachers explain their career decisions. American Educational Research Journal, 40(3), 581–617.doi:10.3102/00028312040003581
25.
KlineR. B. (2005). Principles and practices of structural equation modeling (2nd ed.). New York, NY: Guilford Press.
26.
LankfordHLoebSWyckoffJ. (2002). Teacher sorting and the plight of urban schools: A descriptive analysis. Educational Evaluation and Policy Analysis, 24(1), 37–62.doi:10.3102/01623737024001037
27.
MenardS. (1995). Applied logistic regression analysis: Sage University series on quantitative applications in the social sciences. Thousand Oaks, CA: Sage Publications.
28.
MurnaneR. JSingerJ. DWillettJ. BKempleJOlsenR. (1991). Who will teach? Policies that matter. Cambridge: Harvard University Press.
29.
Myers. (1990). Classical and modern regression with applications. Boston, MA: PWS-Kent.
30.
NevilleK. SShermanR. HCohenC. E. (2005). Preparing and training professionals: Comparing education to six other fields. New York, NY: Finance Project.
31.
PodgurskyMMonroeRWatsonD. (2004). The academic quality of public school teachers: An analysis of entry and exit behavior. Economics of Education Review, 23(5), 507–518.doi:10.1016/j.econedurev.2004.01.005
32.
RivkinS. GHanushekE. AKainJ. F. (2005). Teachers, schools, and academic achievement. Econometrica, 73(2), 417–458.doi:10.1111/j.1468-0262.2005.00584.x
33.
ScafidiBSjoquistD. LStinebricknerT. R. (2007). Race, poverty, and teacher mobility. Economics of Education Review, 26(2), 145–159.doi:10.1016/j.econedurev.2005.08.006
34.
SmithTIngersollR. (2004). Reducing teacher turnover: What are the components of effective induction?American Educational Research Journal, 41(3), 687–714.
35.
TaylorK. (2015). Cuomo, in shift, is said to back reducing test scores’ role in teacher reviews. The New York Times.
36.
Tennessee Higher Education Commission. (2014). State of Tennessee: Advanced Analytics Report. Nashville, TN: Author.
37.
Tennessee Quality Assurance Funding Act of 2018, H. 1481, 110th General Assembly. (2018).
38.
The Teaching Commission. (2004). Teaching at risk: A call to action. New York, NY: Author.
