Teacher and Teaching Effects on Students’ Attitudes and Behaviors

Educational Evaluation and Policy Analysis

Volumn 39, Issue 1, 2017, Pages 146-170

  Blazar, David ^a   Kraft, Matthew A ^b  

^a HARVARD UNIVERSITY   (United States)

^b BROWN UNIVERSITY   (United States)

Author keywords

behavior; happiness; instruction; noncognitive outcomes; self efficacy; teacher effectiveness

Indexed keywords

EID: 85011589870     PISSN: 01623737     EISSN: 19351062     Source Type: Journal    
DOI: 10.3102/0162373716670260     Document Type: Article

References (92)

1. Achenbach T. M., McConaughy S. H., Howell C. T., (1987). Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specificity. Psychological Bulletin, 101, 213–232.
2. Backes B., Hansen M., (2015, October). Teach for America impact estimates on nontested student outcomes (Working Paper 146). Washington, DC: National Center for Analysis of Longitudinal in Education Research. Retrieved from http://www.caldercenter.org/sites/default/files/WP%20146.pdf
3. Bandura A., Barbaranelli C., Caprara G. V., Pastorelli C., (1996). Multifaceted impact of self-efficacy beliefs on academic functioning. Child Development, 67, 1206–1222.
4. Baron J., (1982). Personality and intelligence. In Sternberg R. J., (Ed.), Handbook of human intelligence (pp. 308–351). New York, NY: Cambridge University Press.
5. Blazar D., (2015). Effective teaching in elementary mathematics: Identifying classroom practices that support student achievement. Economics of Education Review, 48, 16–29.
6. Blazar D., Braslow D., Charalambous C. Y., Hill H. C., (2015). Attending to general and content-specific dimensions of teaching: Exploring factors across two observation instruments (Working paper). Cambridge, MA: National Center for Teacher Effectiveness. Retrieved from http://scholar.harvard.edu/files/david_blazar/files/blazar_et_al_attending_to_general_and_content_specific_dimensions_of_teaching.pdf
7. Borghans L., Duckworth A. L., Heckman J. J., Ter Weel B., (2008). The economics and psychology of personality traits. Journal of Human Resources, 43, 972–1059.
8. Burchinal M., Howes C., Pianta R., Bryant D., Early D., Clifford R., Barbarin O., (2008). Predicting child outcomes at the end of kindergarten from the quality of pre-kindergarten teacher-child interactions and instruction. Applied Developmental Science, 12, 140–153.
9. Center on Great Teachers and Leaders. (2013). Databases on state teacher and principal evaluation policies. Retrieved from http://resource.tqsource.org/stateevaldb
10. Chan T. C., Jarman D., (2004). Departmentalize elementary schools. Principal, 84(1), 70–72.
11. Chetty R., Friedman J. N., Hilger N., Saez E., Schanzenbach D., Yagan D., (2011). How does your kindergarten classroom affect your earnings? Evidence from Project STAR. Quarterly Journal of Economics, 126, 1593–1660.
12. Chetty R., Friedman J. N., Rockoff J. E., (2014). Measuring the impacts of teachers I: Evaluating bias in teacher value-added estimates. American Economic Review, 104, 2593–2632.
13. Chin M., Goldhaber D., (2015). Exploring explanations for the “weak” relationship between value added and observation-based measures of teacher performance (Working paper). Cambridge, MA: National Center for Teacher Effectiveness. Retrieved from http://cepr.harvard.edu/files/cepr/files/sree2015_simulation_working_paper.pdf?m=1436541369
14. Cohen D. K., (2011). Teaching and its predicaments. Cambridge, MA: Harvard University Press.
15. Corcoran S. P., Jennings J. L., (2012). Teacher effectiveness on high- and low-stakes tests. Unpublished manuscript. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.269.5537&rep=rep1&type=pdf
16. Council of the Great City Schools. (2013). Beating the odds: Analysis of student performance on state assessments, results from the 2012–2013 school year. Washington, DC: Author.
17. Darling-Hammond L., (2013). Getting teacher evaluation right: What really matters for effectiveness and improvement. New York, NY: Teachers College Press.
18. Diener E., (2000). Subjective well-being: The science of happiness and a proposal for a national index. American Psychologist, 55, 34–43.
19. Downer J. T., Rimm-Kaufman S., Pianta R. C., (2007). How do classroom conditions and children’s risk for school problems contribute to children’s behavioral engagement in learning? School Psychology Review, 36, 413–432.
20. Duckworth A., (2016, March 26). Don’t grade schools on grit. The New York Times. Retrieved from http://www.nytimes.com/2016/03/27/opinion/sunday/dont-grade-schools-on-grit.html
21. Duckworth A. L., Peterson C., Matthews M. D., Kelly D. R., (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92, 1087–1101.
22. Duckworth A. L., Quinn P. D., Tsukayama E., (2012). What no child left behind leaves behind: The roles of IQ and self-control in predicting standardized achievement test scores and report card grades. Journal of Educational Psychology, 104, 439–451.
23. Duckworth A. L., Yeager D. S., (2015). Measurement matters: Assessing personal qualities other than cognitive ability for educational purposes. Educational Researcher, 44, 237–251.
24. Dunn O. J., (1961). Multiple comparisons among means. Journal of the American Statistical Association, 56, 52–64.
25. Epstein D., Miller R. T., (2011). Slow off the mark: Elementary school teachers and the crisis in science, technology, engineering, and math education. Washington, DC: Center for American Progress.
26. The Every Student Succeeds Act, Public Law 114-95, 114th Cong., 1st sess. (2015, December 10). Retrieved from https://www.congress.gov/bill/114th-congress/senate-bill/1177/text
27. Farrington C. A., Roderick M., Allensworth E., Nagaoka J., Keyes T. S., Johnson D. W., Beechum N. O., (2012). Teaching adolescents to become learners. The role of non-cognitive factors in shaping school performance: A critical literature review. Chicago, IL: University of Chicago Consortium on Chicago School Reform.
28. Field A., (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London, England: SAGE.
29. Gershenson S., (2016). Linking teacher quality, student attendance, and student achievement. Education Finance and Policy, 11, 125–149.
30. Goodman R., (2001). Psychometric properties of the Strengths and Difficulties Questionnaire. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 1337–1345.
31. Grossman P., McDonald M., (2008). Back to the future: Directions for research in teaching and teacher education. American Educational Research Journal, 45, 184–205.
32. Guarino C. M., Maxfield M., Reckase M. D., Thompson P. N., Wooldridge J. M., (2015). An evaluation of Empirical Bayes’ estimation of value-added teacher performance measures. Journal of Educational and Behavioral Statistics, 40, 190–222.
33. Hafen C. A., Hamre B. K., Allen J. P., Bell C. A., Gitomer D. H., Pianta R. C., (2015). Teaching through interactions in secondary school classrooms: Revisiting the factor structure and practical application of the Classroom Assessment Scoring System–Secondary. The Journal of Early Adolescence, 35, 651–680.
34. Hamre B., Hatfield B., Pianta R., Jamil F., (2014). Evidence for general and domain-specific elements of teacher–child interactions: Associations with preschool children’s development. Child Development, 85, 1257–1274.
35. Hamre B. K., Pianta R. C., (2001). Early teacher–child relationships and the trajectory of children’s school outcomes through eighth grade. Child Development, 72, 625–638.
36. Hamre B. K., Pianta R. C., Downer J. T., DeCoster J., Mashburn A. J., Jones S. M., Brackett M. A., (2013). Teaching through interactions: Testing a developmental framework of teacher effectiveness in over 4,000 classrooms. The Elementary School Journal, 113, 461–487.
37. Hanushek E. A., Rivkin S. G., (2010). Generalizations about using value-added measures of teacher quality. American Economic Review, 100, 267–271.
38. Hickman J. J., Fu J., Hill H. C., (2012). Technical report: Creation and dissemination of upper-elementary mathematics assessment modules. Princeton, NJ: Educational Testing Service.
39. Hill H. C., Blazar D., Lynch K., (2015). Resources for teaching: Examining personal and institutional predictors of high-quality instruction. AERA Open, 1(4), 1–23.
40. Hill H. C., Blunk M. L., Charalambous C. Y., Lewis J. M., Phelps G. C., Sleep L., Ball D. L., (2008). Mathematical knowledge for teaching and the mathematical quality of instruction: An exploratory study. Cognition and Instruction, 26, 430–511.
41. Hill H. C., Charalambous C. Y., Kraft M. A., (2012). When rater reliability is not enough teacher observation systems and a case for the generalizability study. Educational Researcher, 41, 56–64.
42. Hill H. C., Grossman P., (2013). Learning from teacher observations: Challenges and opportunities posed by new teacher evaluation systems. Harvard Educational Review, 83, 371–384.
43. Hill H. C., Schilling S. G., Ball D. L., (2004). Developing measures of teachers’ mathematics knowledge for teaching. Elementary School Journal, 105, 11–30.
44. Hitt C., Trivitt J., Cheng A., (2016). When you say nothing at all: The predictive power of student effort on surveys. Economics of Education Review, 52, 105–119.
45. Ho A. D., Kane T. J., (2013). The reliability of classroom observations by school personnel. Seattle, WA: Measures of Effective Teaching Project, Bill and Melinda Gates Foundation.
46. Jackson C. K., (2012, December). Non-cognitive ability, test scores, and teacher quality: Evidence from 9th grade teachers in North Carolina (NBER Working Paper No. 18624). Cambridge, MA: National Bureau for Economic Research.
47. Jacob B. A., Lefgren L., (2005). Principals as agents: Subjective performance assessment in education (NBER Working Paper No. 11463). Cambridge, MA: National Bureau for Economic Research.
48. Jacob B. A., Lefgren L., (2008). Can principals identify effective teachers? Evidence on subjective performance evaluation in education. Journal of Labor Economics, 20, 101–136.
49. Jennings J. L., DiPrete T. A., (2010). Teacher effects on social and behavioral skills in early elementary school. Sociology of Education, 83, 135–159.
50. John O. P., Srivastava S., (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In Pervin L., John O. P., (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102–138). New York, NY: Guilford Press.
51. 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: Measures of Effective Teaching Project, Bill and Melinda Gates Foundation.
52. Kane T. J., Staiger D. O., (2012). Gathering feedback for teaching. Seattle, WA: Measures of Effective Teaching Project, Bill and Melinda Gates Foundation.
53. King R. B., McInerney D. M., Ganotice F. A., Villarosa J. B., (2015). Positive affect catalyzes academic engagement: Cross-sectional, longitudinal, and experimental evidence. Learning and Individual Differences, 39, 64–72.
54. Kline P., (1994). An easy guide to factor analysis. London, England: Routledge.
55. Koedel C., (2008). Teacher quality and dropout outcomes in a large, urban school district. Journal of Urban Economics, 64, 560–572.
56. Kraft M. A., Grace S., (2016). Teaching for tomorrow’s economy? Teacher effects on complex cognitive skills and social-emotional competencies (Working paper). Providence, RI: Brown University. Retrieved from http://scholar.harvard.edu/files/mkraft/files/teaching_for_tomorrows_economy_-_final_public.pdf
57. Ladd H. F., Sorensen L. C., (2015, December). Returns to teacher experience: Student achievement and motivation in middle school (Working Paper No. 112). Washington, DC: National Center for Analysis of Longitudinal in Education Research. Retrieved from http://www.caldercenter.org/sites/default/files/WP%20112%20Update_0.pdf
58. Lampert M., (2001). Teaching problems and the problems of teaching. New Haven, CT: Yale University Press.
59. Lockwood J. R., McCaffrey D. F., Hamilton L. S., Stecher B., Le V., Martinez J. F., (2007). The sensitivity of value-added teacher effect estimates to different mathematics achievement measures. Journal of Educational Measurement, 44, 47–67.
60. Luckner A. E., Pianta R. C., (2011). Teacher–student interactions in fifth grade classrooms: Relations with children’s peer behavior. Journal of Applied Developmental Psychology, 32, 257–266.
61. Lynch K., Chin M., Blazar D., (2015). Relationship between observations of elementary teacher mathematics instruction and student achievement: Exploring variability across districts (Working paper). Cambridge, MA: National Center for Teacher Effectiveness.
62. Lyubomirsky S., King L., Diener E., (2005). The benefits of frequent positive affect: Does happiness lead to success? Psychological Bulletin, 131, 803–855.
63. Mashburn A. J., Pianta R. C., Hamre B. K., Downer J. T., Barbarin O. A., Bryant D... Howes C., (2008). Measures of classroom quality in prekindergarten and children’s development of academic, language, and social skills. Child Development, 79, 732–749.
64. Mihaly K., McCaffrey D. F., Staiger D. O., Lockwood J. R., (2013). A composite estimator of effective teaching. Seattle, WA: Measures of Effective Teaching Project, Bill and Melinda Gates Foundation.
65. Miles S. B., Stipek D., (2006). Contemporaneous and longitudinal associations between social behavior and literacy achievement in a sample of low-income elementary school children. Child Development, 77, 103–117.
66. Miller C. C., (2015, October 16). Why what you learned in preschool is crucial at work. The New York Times. Retrieved from http://www.nytimes.com/2015/10/18/upshot/how-the-modern-workplace-has-become-more-like-preschool.html?_r=0
67. Moffitt T. E., Arseneault L., Belsky D., Dickson N., Hancox R. J., Harrington H... Ross S., (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences, 108, 2693–2698.
68. National Council of Teachers of Mathematics. (1989). Curriculum and evaluation standards for school mathematics. Reston, VA: Author.
69. National Council of Teachers of Mathematics. (2014). Principles to actions: Ensuring mathematical success for all. Reston, VA: Author.
70. National Governors Association Center for Best Practices. (2010). Common core state standards for mathematics. Washington, DC: Author.
71. Papay J. P., (2011). Different tests, different answers: The stability of teacher value-added estimates across outcome measures. American Educational Research Journal, 48, 163–193.
72. Papay J. P., (2012). Refocusing the debate: Assessing the purposes and tools of teacher evaluation. Harvard Educational Review, 82, 123–141.
73. Pianta R. C., Hamre B. K., (2009). Conceptualization, measurement, and improvement of classroom processes: Standardized observation can leverage capacity. Educational Researcher, 38, 109–119.
74. Pianta R. C., La Paro K., Payne C., Cox M., Bradley R., (2002). The relation of kindergarten classroom environment to teacher, family, and school characteristics and child outcomes. Elementary School Journal, 102, 225–238.
75. Raudenbush S. W., Bryk A. S., (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: SAGE.
76. Rockoff J. E., Speroni C., (2010). Subjective and objective evaluations of teacher effectiveness. American Economic Review, 100, 261–266.
77. Rockoff J. E., Staiger D. O., Kane T. J., Taylor E. S., (2012). Information and employee evaluation: Evidence from a randomized intervention in public schools. American Economic Review, 102, 3184–3213.
78. Ruzek E. A., Domina T., Conley A. M., Duncan G. J., Karabenick S. A., (2015). Using value-added models to measure teacher effects on students’ motivation and achievement. The Journal of Early Adolescence, 35, 852–882.
79. Segal C., (2013). Misbehavior, education, and labor market outcomes. Journal of the European Economic Association, 11, 743–779.
80. Šidák Z., (1967). Rectangular confidence regions for the means of multivariate normal distributions. Journal of the American Statistical Association, 62, 626–633.
81. Spearman C., (1904). “General Intelligence,” objectively determined and measured. The American Journal of Psychology, 15, 201–292.
82. Steinberg M. P., Garrett R., (2016). Classroom composition and measured teacher performance: What do teacher observation scores really measure? Educational Evaluation and Policy Analysis, 38, 293–317.
83. Tabachnick B. G., Fidell L. S., (2001). Using multivariate statistics (4th ed.). New York, NY: HarperCollins.
84. Todd P. E., Wolpin K. I., (2003). On the specification and estimation of the production function for cognitive achievement. The Economic Journal, 113, F3–F33.
85. Tremblay R. E., Masse B., Perron D., LeBlanc M., Schwartzman A. E., Ledingham J. E., (1992). Early disruptive behavior, poor school achievement, delinquent behavior, and delinquent personality: Longitudinal analyses. Journal of Consulting and Clinical Psychology, 60, 64–72.
86. Tsukayama E., Duckworth A. L., Kim B., (2013). Domain-specific impulsivity in school-age children. Developmental Science, 16, 879–893.
87. Usher E. L., Pajares F., (2008). Sources of self-efficacy in school: Critical review of the literature and future directions. Review of Educational Research, 78, 751–796.
88. West M. R., Kraft M. A., Finn A. S., Martin R. E., Duckworth A. L., Gabrieli C. F., Gabrieli J. D., (2016). Promise and paradox: Measuring students’ non-cognitive skills and the impact of schooling. Educational Evaluation and Policy Analysis, 38, 148–170.
89. Whitehurst G. J., (2016). Hard thinking on soft skills. Washington, DC: Brookings Institute. Retrieved from http://www.brookings.edu/research/reports/2016/03/24-hard-thinking-soft-skills-whitehurst
90. Whitehurst G. J., Chingos M. M., Lindquist K. M., (2014). Evaluating teachers with classroom observations: Lessons learned in four districts. Washington, DC: Brown Center on Education Policy at the Brookings Institute. Retrieved from http://www.brookings.edu/~/media/research/files/reports/2014/05/13-teacher-evaluation/evaluating-teachers-with-classroom-observations.pdf
91. Wigfield A., Meece J. L., (1988). Math anxiety in elementary and secondary school students. Journal of Educational Psychology, 80, 210–216.
92. Zernike K., (2016, February 29). Testing for joy and grit? Schools nationwide push to measure students’ emotional skills. The New York Times. Retrieved from http://www.nytimes.com/2016/03/01/us/testing-for-joy-and-grit-schools-nationwide-push-to-measure-students-emotional-skills.html?_r=0