References

1. Abdelfattah, F. (2010). The relationship between motivation and achievement in low-stakes examinations. Social Behavior and Personality: International Journal, 38, pp. 159-167.
2. Antoniou, P., Kyriakides, L., & Creemers, B.P.M. (2015). The dynamic integrated approach to teacher professional development: Rationale and main characteristics. Teacher Development, 19, pp. 535-552.
3. Atteberry, A., Loeb, S., & Wyckoff, J. (2015). Do first impressions matter? Predicting early career teacher effectiveness. AERA Open, 1(4), pp. 1-23.
4. Bahr, N., & Mellor, S. (2016). Building quality in teaching and teacher education. Camberwell, Australia: ACER Press.
5. Bangerter, A., Konig, C.J., Blatti, S., & Salvisberg, A. (2009). How widespread is graphology in personnel selection practice? A case study of a job market myth. International Journal of Selection and Assessment, 17, pp. 219-230.
6. Barber, M., & Mourshed, M. (2007). How the world's best performing school systems come out on top. London: McKinsey & Company.
7. Beier, M.E., & Ackerman, P.L. (2012). Time in personnel selection. The Oxford handbook of personnel assessment and selection, pp. 721-739. Oxford: Oxford University Press.
8. Bieri, C., & Schuler, P. (2011). Cross-curricular competencies of student teachers: A selection model based on assessment centre admission tests and study success after the first year of teacher training. Assessment & Evaluation in Higher Education, 36, pp. 399-415.
9. Bingham, P.J. (2000). The concurrent and predictive validity of elementary school teacher pre-employment success indicators (Unpublished doctoral dissertation). Austin, Texas: The University of Texas.
10. Booth, A., Sutton, A., & Papaioannou, D. (2016). Systematic approaches to a successful literature review. London: Sage.
11. Borenstein, M., Hedges, L.V., Higgins, J.P., & Rothstein, H.R. (2009). Introduction to meta-analysis. Chichester: John Wiley & Sons, Ltd.
12. Bowles, T., Hattie, J., Dinham, S., Scull, J., & Clinton, J. (2014). Proposing a comprehensive model for identifying teaching candidates. Australian Educational Researcher, 41, pp. 365-380.
13. Buresh, R.J. (2003). The predictive validity of the Teacher Perceiver Interview in selecting effective elementary teachers in a mid-sized midwestern school district (Unpublished doctoral dissertation). Grand Forks, North Dakota: University of North Dakota.
14. Byrnes, D.A., Kiger, G., & Shechtman, Z. (2003). Evaluating the use of group interviews to select students into teacher-education programs. Journal of Teacher Education, 54, pp. 163-172.
15. Casebolt, P.C. (2016). Teacher hiring explored: Examining the effectiveness of educator selection processes. Nashville, TN: Trevecca Nazarene University.
16. Casey, C., & Childs, R. (2011). Teacher education admission criteria as measure of preparedness for teaching. Canadian Journal of Education, 34, pp. 3-20.
17. Casey, C., & Childs, R.A. (2017). Teacher education program admission criteria and what beginning teachers need to know to be successful teachers. Canadian Journal of Educational Administration and Policy, 67, pp. 1-24.
18. Caskey, M.M., Peterson, K.D., & Temple, J.B. (2001). Complex admission selection procedures for a graduate preservice teacher education program. Teacher Education Quarterly, 28(4), pp. 7-21.
19. Chamorro-Premuzic, T., & Furnham, A. (2010). The psychology of personnel selection. New York: Cambridge University Press.
20. Chesley, D. (2004). The validity of teacher employment success predictors (Unpublished doctoral dissertation). Washington, D. C: George Washington University.
21. Chetty, R., Friedman, J.N., & Rockoff, J.E. (2014). Measuring the impacts of teachers I: Evaluating bias in teacher value-added estimates. The American Economic Review, 104, pp. 2593-2632.
22. Christian, M.S., Edwards, B.D., & Bradley, J.C. (2010). Situational judgment tests: Constructs assessed and a meta-analysis of their criterion-related validities. Personnel Psychology, 63, pp. 83-117.
23. Clemons, B.L. (2010). A correlational study of the Ventures for Excellence Interview-rating system and first year teacher evaluations (Unpublished doctoral dissertation). St. Charles, MO: Lindenwood University.
24. Coe, R. (2002). September). It's the effect size, stupid: What effect size is and why it is important. Paper presented at the annual conference of the British educational research association.
25. Cook, M. (2009). Personnel selection: Adding value through people. Chichester, UK: Wiley-Blackwell.
26. Dana, J., Dawes, R., & Peterson, N. (2013). Belief in the unstructured interview: The persistence of an illusion. Judgment and Decision Making, 8, pp. 512-520.
27. Darling-Hammond, L. (2010). Teacher education and the American future. Journal of Teacher Education, 61, pp. 35-47.
28. Darling-Hammond, L., & Youngs, P. (2002). Defining “highly qualified teachers:” what does “scientifically-based research” actually tell us?. Educational Researcher, 31, pp. 13-25.
29. Davies, P., Connolly, M., Nelson, J., Hulme, M., Kirkman, J., & Greenway, C. (2016). ‘Letting the right one in’: Provider contexts for recruitment to initial teacher education in the United Kingdom. Teaching and Teacher Education, 60, pp. 291-302.
30. Denner, P., Norman, A., & Lin, S.Y. (2009). Fairness and consequential validity of teacher work samples. Educational Assessment, Evaluation and Accountability, 21, pp. 235-254.
31. Denner, P.R., Salzman, S.A., & Newsome, J.D. (2001). Selecting the qualified: A standards-based teacher education admission process. Journal of Personnel Evaluation in Education, 15, pp. 165-180.
32. Ebmeier, H., Dillon, A., & Ng, J. (2007). Employment selection instruments—what we have learned from ten years of research. A paper presented at the annual conference of the American Association of School Personnel Administrators.
33. Ebmeier, H., & Ng, J. (2005). Development and field test of an employment selection instrument for teachers in urban school districts. Journal of Personal Evaluation in Education, 18, pp. 201-218.
34. Egger, M., Smith, G.D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315, pp. 629-634.
35. Evans, K.E. (2016). The role of teacher TeacherInsight scores and teacher demographic characteristics in the identification of effective teachers: Using student performance as a validation tool.
36. Ferguson, C.J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40, pp. 532-538.
37. Fry, T. (2013). Exploring the relationship between the TeacherInsight score and the Teacher Growth Index (Unpublished doctoral dissertation). Ashland, Ohio: Ashland University.
38. Gallup Organization (2001). Teacher Perceiver predictive validity study. Lincoln, NE: Author.
39. Gayton, S.D., & Kehoe, J.E. (2015). A prospective study of character strengths as predictors of selection into the Australian Army Special Force. Military Medicine, 180, pp. 151-157.
40. Gill, B., Shoji, M., Coen, T., & Place, K. (2016). The content, predictive power, and potential bias in widely used teacher observation instruments (REL 2017–191). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. Available online: http://ies.ed.gov/ncee/edlabs.
41. Gimbert, B.G., & Chesley, D. (2009). Predicting teacher success using teacher selection practices and classroom performance assessment. Journal of School Leadership, 19, pp. 49-80.
42. Goldhaber, D. (2015). Exploring the potential of value-added performance measures to affect the quality of the teacher workforce. Educational Researcher, 44, pp. 87-95.
43. Goldhaber, D., Grout, C., & Huntington-Klein, N. (2014). It's selective but is it effective? Exploring the predictive validity of teacher selection tools . CEDR policy brief 2014-9. Seattle, WA: University of Washington.
44. Gottheil, E., & Michael, C.M. (1957). Predictor variables employed in research on the selection of medical students. Academic Medicine, 32, pp. 131-147.
45. Greenberg, J., McKee, A., & Walsh, K. (2015). Teacher prep review: A review of the nation's teacher preparation programs. Available online: http://www.nctq.org/dmsView/Teacher_Prep_Review_2014_Report.
46. Grissom, J.A., & Loeb, S. (2017). Assessing principals' assessments: Subjective evaluations of teacher effectiveness in low- and high-stakes environments. Education Finance and Policy, 12, pp. 369-395.
47. Hamre, B.K., Pianta, R.C., Downer, J.T., DeCoster, J., Mashburn, A.J., Jones, S.M., (2013). Teaching through interactions: Testing a developmental framework of teacher effectiveness in over 4,000 classrooms. The Elementary School Journal, 113, pp. 461-487.
48. Hanushek, E.A. (2014). Boosting teacher effectiveness. What lies ahead for America's children and their schools, pp. 23-35. Stanford, CA: Hoover Institution Press.
49. Hanushek, E.A., & Rivkin, S.G. (2012). The distribution of teacher quality and implications for policy. Annual Review of Economics, 4, pp. 131-157.
50. Harris, D.N., & Rutledge, S.A. (2010). Models and predictors of teacher effectiveness: A comparison of research about teaching and other occupations. Teachers College Record, 112, pp. 914-960.
51. Hattie, J.A. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Oxford: Routledge.
52. Hedges, L.V., & Hedberg, E.C. (2007). Intraclass correlation values for planning group-randomized trials in education. Educational Evaluation and Policy Analysis, 29, pp. 60-87.
53. Heinz, M. (2013). Tomorrow's teachers—selecting the best: An exploration of the quality rationale behind academic and experiential selection criteria for initial teacher education programmes. Educational Assessment, Evaluation and Accountability, 25, pp. 93-114.
54. Henry, G.T., Campbell, S.L., Thompson, C.L., Patriarca, L.A., Luterbach, K.J., & Lys, D.B. (2013). The predictive validity of measures of teacher candidate programs and performance: Toward an evidence-based approach to teacher preparation. Journal of Teacher Education, 64, pp. 439-453.
55. Higgins, J.P.T., Thompson, S.G., Deeks, J.J., & Altman, D.G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327, pp. 557-560.
56. Hindman, J., & Stronge, J. (2009). The $2 million decision: Teacher selection and principals' interviewing practice. Educational Research Service Spectrum, 27, pp. 1-10. Available online: http://humanresourcesportfolio.wikispaces.com/.
57. Hobson, A.J., Ashby, P., McIntyre, J., & Malderez, A. (2010). International approaches to teacher selection and recruitment. OECD education working papers. Paris: OECD Publishing.
58. Jackson, C.K., Rockoff, J.E., & Staiger, D.O. (2014). Teacher effects and teacher-related policies. Annual Review of Economics, 6, pp. 801-825.
59. Juracek, T. (2016). Predictability of hiring mechanisms for elementary teachers. Omaha, NE: University of Nebraska.
60. Kane, T.J., McCaffrey, D.F., Miller, T., & Staiger, D.O. (2013). Have we identified effective teachers? Validating measures of effective teaching using random assignment. Seattle, WA: Bill and Melinda Gates Foundation.
61. Kane, T.J., & Staiger, D.O. (2012). Gathering feedback for teaching: Combining high-quality observations with student surveys and achievement gains. Seattle, WA: Bill & Melinda Gates Foundation.
62. Kausel, E.E., Culbertson, S.S., & Madrid, H.P. (2016). Overconfidence in personnel selection: When and why unstructured interview information can hurt hiring decisions. Organizational Behavior and Human Decision Processes, 137, pp. 27-44.
63. Kidder, W.C. (2001). Does the LSAT mirror or magnify racial and ethnic differences in educational attainment? A study of equally achieving" elite" college students. California Law Review, 1055, pp. 1074-1124.
64. Klassen, R.M., & Dolan, R. (2015). Selection for teacher education in the UK and the Republic of Ireland: A proposal for innovation. Presented at the meeting of the European Conference on Educational Research, Budapest, Hungary.
65. Klassen, R.M., & Durksen, T.L. (2014). Weekly self-efficacy and work stress during the final teaching practicum: A mixed methods study. Learning and Instruction, 33, pp. 158-169.
66. Klassen, R.M., Durksen, T.L., Kim, L.E., Patterson, F., Rowett, E., & Warwick, J. (2017). Developing a proof-of-concept selection test for entry into primary teacher education programs. International Journal of Assessment Tools in Education, 4, pp. 96-114.
67. Klassen, R.M., & Kim, L.E. (2018). Development of an online construct-informed situational judgment test for screening applicants for initial teacher education. Retrieved from https://doi.org/10.31234/osf.io/64hry.
68. Klassen, R.M., & Tze, V.M.C. (2014). Teachers' self-efficacy, personality, and teaching effectiveness: A meta-analysis. Educational Research Review, 12, pp. 59-76.
69. Koerner, R.J. (2007). The relationship between the TeacherInsight score and student performance as measured by the Texas Growth Index (Unpublished doctoral dissertation). Denton, Texas: University of North Texas.
70. Kosnik, C., Brown, R., & Beck, C. (2005). The preservice admissions process: What qualities do future teachers need and how can they be identified in applicants?. The New Educator, 1, pp. 101-123.
71. Kreifels, R.G. (2003). A study of selected teacher interview characteristics and student achievement (Unpublished doctoral dissertation). St. Louis, MO: Saint Louis University.
72. Kunter, M., Kleickmann, T., Klusmann, U., & Richter, D. (2013). The development of teachers' professional competence. Cognitive activation in the mathematics classroom and professional competence of teachers, pp. 63-77. New York: Springer U.S.
73. Kuykendall, L., Tay, L., & Ng, V. (2015). Leisure engagement and subjective well-being: A meta-analysis. Psychological Bulletin, 141, pp. 364-403.
74. van der Lans, R.M., van de Grift, W.J., & van Veen, K. (2018). Developing an instrument for teacher feedback: Using the Rasch model to explore teachers' development of effective teaching strategies and behaviors. The Journal of Experimental Education, 86, pp. 247-264.
75. Lievens, F., & Patterson, F. (2011). The validity and incremental validity of knowledge tests, low-fidelity simulations, and high-fidelity simulations for predicting job performance in advanced-level high-stakes selection. Journal of Applied Psychology, 96, pp. 927-940.
76. Lievens, F., Patterson, F., Corstjens, J., Martin, S., & Nicholson, S. (2016). Widening access in selection using situational judgment tests: Evidence from the UKCAT. Medical Education, 50, pp. 624-636.
77. Lievens, F., & Sackett, P.R. (2012). The validity of interpersonal skills assessment via situational judgment tests for predicting academic success and job performance. Journal of Applied Psychology, 97, pp. 460-468.
78. Lipsey, M.W., & Wilson, D.B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage.
79. Liu, E., & Johnson, S.M. (2006). New teachers' experiences of hiring: Late, rushed, and information poor. Educational Administration Quarterly, 42, pp. 324-360.
80. Loyd, D.E. (2004). The effect of a screening instrument to determine teacher effectiveness as measured by academic gain scores (Unpublished doctoral dissertation). Knoxville, TN: The University of Tennessee.
81. Marks, A.B., & Moss, S.A. (2016). What predicts law student success? A longitudinal study correlating law student applicant data and law school outcomes. Journal of Empirical Legal Studies, 13, pp. 205-265.
82. McDaniel, M.A., Morgeson, F.P., Finnegan, E.B., Campion, M.A., & Braverman, E.P. (2001). Use of situational judgment tests to predict job performance: A clarification of the literature. Journal of Applied Psychology, 86, pp. 730-740.
83. McKinley, K.J. (2009). Exploring the efficiency and effectiveness of teacher selection tools: The effects on the total group with a focus on the experience sub-groups (Unpublished doctoral dissertation). St. Charles, MO: Lindenwood University.
84. McWhirter, A.B. (2014). The correlation between a teacher selection instrument and teacher quality in Tennessee (Unpublished doctoral dissertation). Phoenix, AZ: Grand Canyon University.
85. Mertz, N.T. (2010). Teacher selection and school leader effects. Journal of School Leadership, 20, pp. 184-207.
86. Metzger, S.A., & Wu, M.-J. (2008). Commercial teacher selection instruments: The validity of selecting teachers through beliefs, attitudes, and values. Review of Educational Research, 78, pp. 921-940.
87. Mikitovics, A., & Crehan, K.D. (2002). Pre-Professional Skills Test scores as college of education admission criteria. The Journal of Educational Research, 95(4), pp. 215-223.
88. Mills, S.A. (2007). An investigation of the predictive validity of a structured teacher-interview instrument (Unpublished doctoral dissertation). West Lafayette: Purdue University.
89. Morgesen, F.P., Campion, M.A., Dipboye, R.L., Hollenbeck, J.R., Murphy, K., & Schmitt, N. (2007). Reconsidering the use of personality tests in personnel selection contexts. Personnel Psychology, 60, pp. 683-729.
90. Muijs, D., Kyriakides, L., van der Werf, G., Creemers, B., Timperley, H., & Earl, L. (2014). State of the art – teacher effectiveness and professional learning. School Effectiveness and School Improvement, 25, pp. 231-256.
91. Muijs, D., Reynolds, D., Sammons, P., Kyriakides, L., Creemers, B.P.M., & Teddlie, C. (2018). Assessing individual lessons using a generic teacher observation instrument: How useful is the international system for teacher observation and feedback (ISTOF)?. ZDM, 50, pp. 395-406.
92. Nelson, B. (2013). Exploring the relationship between the Ventures for Excellence Teacher Style Profile data and teacher performance (Unpublished doctoral dissertation). St. Charles, MO: Lindenwood University.
93. Novotny, M.T. (2009). The relationship between TeacherInsight scores and professional development and appraisal system domain scores (Unpublished doctoral dissertation). Denton, TX: University of North Texas.
94. OECD (2005). Teachers matter: Attracting, developing and retaining effective teachers. Paris, France: OECD Publishing. Available online: http://www.oecd.org/education/school/attractingdevelopingandretainingeffectiveteachers-finalreportteachersmatter.htm.
95. OECD (2017). Education and training. Paris, France: OECD Publishing. Available online: https://stats.oecd.org/Index.aspx?DataSetCode=EAG_TS_STA.
96. Oestreich, T.A. (2016). A study of the effectiveness of the Applitrack Teacherfit hiring selection tool when compared with a teacher's summative evaluation. Bloomington, IN: Indiana University.
97. Patrick, H., & Mantzicopoulos, P. (2016). Is effective teaching stable?. The Journal of Experimental Education, 84, pp. 23-47.
98. Patterson, F., Ashworth, V., Mehra, S., & Falcon, H. (2012). Could situational judgement tests be used for selection into dental foundation training?. British Dental Journal, 213, pp. 23-26.
99. Patterson, F., Knight, A., Dowell, J., Nicholson, S., Cousans, F., & Cleland, J. (2016). How effective are selection methods in medical education? A systematic review. Medical Education, 50, pp. 36-60.
100. Paufler, N.A., & Amrein-Beardsley, A. (2014). The random assignment of students into elementary classrooms implications for value-added analyses and interpretations. American Educational Research Journal, 51, pp. 328-362.