A Measure of Emotional Intelligence in Texas School-Based Agricultural Educators

Authors

DOI:

https://doi.org/10.5032/jae.v67i3.3373

Keywords:

Emotional Intelligence, School-Based Agricultural Education, Student Success, Student Retention

Abstract

School-Based Agricultural Education programs provide students with academic, leadership, and experiential learning opportunities that require educators to manage complex instructional and relational responsibilities. Framed through human capital theory and emotional intelligence theory, this descriptive, cross-sectional study examined emotional intelligence among school-based agricultural educators in Texas. Data were collected during the 2018–2019 academic year using the Genos Emotional Intelligence Concise Inventory (Self). Usable emotional intelligence responses were analyzed from (N = 495) educators, with demographic differences examined across gender, age, ethnicity, and highest degree attained. Overall emotional intelligence scores exceeded the international benchmark reported for the instrument, with respondents reporting an overall mean score of 119.9 (SD = 14.28). Emotional Reasoning was the highest-scoring sub-category (M = 19.12, SD = 2.85), suggesting strength in using emotional information to guide workplace decisions and communication. Emotional Management of Others was the lowest-scoring sub-category (M = 15.23, SD = 2.47), indicating a potential area for professional development. Gender and age emerged as influential demographic factors, with females scoring significantly higher in Emotional Self-Awareness, Emotional Awareness of Others, Emotional Management of Others, and Overall Emotional Intelligence. Age significantly influenced several emotional intelligence dimensions, including Emotional Self-Management, Emotional Management of Others, Emotional Self-Control, and Overall Emotional Intelligence. Because the study was descriptive and relied on self-report data, findings should be interpreted as relational rather than causal. Results support emotional intelligence as a developable professional competency and suggest the need for targeted professional development and post-COVID replication studies.

Downloads

Download data is not yet available.

References

Akers, C., Fraze, S., Lockaby, J., Miller, K. (2004a). [Unpublished raw data on Assessing the importance and inclusion of emotional intelligence in agricultural education]. Texas Tech University.

Akers, C., Miller, K., Fraze, S.D., & Haygood, J.D. (2004b). A tri-state needs assessment of emotional intelligence in agricultural education. Journal of Agricultural Education, 45(1), 86-94. https://doi.org/10.5032/jae.2004.01086

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control 19(6):716-723. https://doi.org/10.1109/tac.1974.1100705

Babbie, E. R. (2016). The basics of social research. Cengage learning.

Becker, G. S. (1993). ‘Nobel lecture: The economic way of looking at behavior’. Journal of Political Economy, 101(3), 385–409. https://doi.org/10.1086/261880

Boren, A.E. (2010). Emotional Intelligence: The secret of successful entrepreneurship? Faculty Publications: Agricultural Leadership, Education & Communication Department, 54(2), 54-61.

Brackett, M.A., Mayer, J.D., & Warner, R.M. (2004). Emotional intelligence and the prediction of everyday behavior. Personality and Individual Differences, 36(6), 1387-1402. https://doi.org/10.1016/S0191-8869(03)00236-8

Brackett, M. A., Elbertson, N. A., & Rivers, S. E. (2025). Applying emotional intelligence in education. Journal of Educational Psychology, 117(3), 451–467. https://doi.org/10.1037/edu000xxxx

Burnham, K. P., & Anderson, D. R. (2004). Multimodal inference: Understanding AIC and BIC in model selection. Sociological Methods and Research 33(2):261-304. https://doi.org/10.1177/0049124104268644

Caruso, D. R., Mayer, J. D., & Salovey, P. (2002). Relation of an ability measure of emotional intelligence to personality. Journal of Personality Assessment, 79(2), 306–320. https://doi.org/10.1207/S15327752JPA7902_12

Creswell, J. W. (2008). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (3rd ed.). Pearson/Merrill Prentice Hall.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.

Cushing, M. (2018). Implementing one-to-one technology to improve student achievement in selected Illinois high school districts (Publication No. 10928377). [Doctoral dissertation, University of St. Francis]. ProQuest Dissertations and Theses Global.

Dickinson, G., & Jackson, J. K. (2008). Planning for success: How to design and implement project–based science activities. The Science Teacher, 75(8), 29–32.

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2009). Surveys: Internet, Mail, and Mixed-Mode the Tailored Design Method (3rd Ed). Wiley & Sons.

Douglass, A.G (2011). Inservice And Preservice Teacher Knowledge And Perceptions Of Social Emotional Learning And It’s Impact On Reading And Overall Academic Attainment. Texas A&M University, College Station, Texas.

Draper, N. R., & Smith, H. (1966). Applied Regression Analysis. John Wiley & Sons

Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82(1), 405–432. https://doi.org/10.1111/j.1467-8624.2010.01564.x

Easterly, III, R. G., Warner, A. J., Myers, B. E., Lamm, A. J. & Telg, R. W. (2017). Skills students need in the real world: competencies desired by agricultural and natural resources industry leaders. Journal of Agricultural Education, 58(4) 225-239. https://doi.org/10.5032/jae.2017.04225

Elias, M., Bruene-Butler, L., Blum, L., & Schuyler, T. (1997). How to launch a social & emotional learning program. Educational Leadership, 54(8), 15–19.

Fannon, D. (2018). The Relationship Between Emotional Intelligence and Leadership Style in Educational Leaders. Pepperdine University, Malibu, California.

Gignac, G. (2010). Seven-factor model of emotional intelligence as measured by Genos EI: A confirmatory factor analytic investigation based on self- and rater-report data. European Journal of Psychological Assessment, 26(4), 309-316. https://doi.org/10.1027/1015-5759/a000041

Goleman, D. (1995). Emotional intelligence. New York, NY: Bantam Books.

Gorter, E., Sullivan, A. P., & Parker, H. C. (2025). Tempering with purpose: California early career agriculture teachers’ experiences with emotional intelligence professional learning. Journal of Agricultural Education, 66(4), 1-22. https://doi.org/10.5032/jae.v66i4.3228

Haynes, J.C., Gill, B.E., Chumbley, S.B., & Slater, T.F. (2014). A cross-case comparison of the academic integration human capital pre-service agricultural educators retain prior to their teaching internship. Journal of Agricultural Education, 55(5), 191-206. https://doi.org/10.5032/jae.2014.05191

Haynes, J. C., Robinson, J. S., Edwards, M. C., & Key, J. P. (2012). Assessing the effect of using a science-enhanced curriculum to improve agriculture students’ science scores: A causal comparative study. Journal of Agricultural Education, 53(2), 15–27. https://doi.org/10.5032/jae.2012.02015

Henry, G. T., Fortner, K. C. & Bastian, K. C. (2012). The effects of experience and attrition for novice high-school science and mathematics teachers. Science, 335(6072), 1118. https://doi.org/10.1126/science.1215343

Howell, D. C. (1987). 1 Statistical methods for psychology (2nd ed.). Duxbury Press.

Jennings, P. A., & Greenberg, M. T. (2009). The prosocial classroom: Teacher social and emotional competence in relation to student and classroom outcomes. Review of Educational Research, 79(1), 491–525. https://doi.org/10.3102/0034654308325693

Jensen, E. (1998). Teaching with the brain in mind. Association for Supervision and Curriculum Development.

Karimi, P., Kloshani M., & Bakhshizadeh A. (2012). A comparative study on emotional intelligence and cognitive between successful and unsuccessful entrepreneurs. Management Science Letters, 2, 2071-2076. http://doi.org/10.5267/j.msl.2012.06.013

Kenward, M. G., & Roger, J. H. (1997). Small sample inference for fixed effects from restricted maximum likelihood. Biometrics 53(3):983–997. https://doi.org/10.2307/2533558

Kramer, C. Y. (1956). Extension of multiple range tests to group means with unequal numbers of replications. Biometrics 12(3):307–310. https://doi.org/10.2307/3001469

Kullback, S., & Leibler, R. A. (1951). On information and sufficiency. Annals of Mathematical Statistics 22(1):79-86. http://doi.org/10.1214/aoms/1177729694

Lepak, D. P., & Snell, S. A. (1999). The human resource architecture: Toward a theory of human capital allocation and development. The Academy of Management Review, 24(1), 31–48. https://doi.org/10.5465/amr.1999.1580439

Maiga, A. A., Cartmell, D. D., Edwards, M. C., & Robinson, J. S. (2013). Competencies needed by graduates of agricultural communications in Mali: Implications for developing countries. North American Colleges & Teachers of Agriculture Journal, 57(3), 139–145.

Mayer, J.D., Caruso, D.R., & Salovey, P. (2000). Emotional intelligence meets traditional standards for an intelligence. Intelligence, 27(4), 267-298. https://doi.org/10.1016/s0160-2896(99)00016-1

Mayer, J. D., & Salovey, P. (1993). The intelligence of emotional intelligence. Intelligence, 17(4), 433-442. https://doi.org/10.1016/0160-2896(93)90010-3

McElravy, L.J., & Hastings, L.J. (2014). Profiling the youth leader: Personality and emotional intelligence trends and their relationship to leadership skills. Journal of Agricultural Education, 55(1), 134-151. https://doi.org/10.5032/jae.2014.01134

Miller, K.J. (2001). Importance and inclusion of emotional intelligence in agricultural education programs. Texas Tech University, Lubbock, Texas.

Moore, L. L., & Rudd, R. D. (2004). Leadership skills and competencies for extension directors and administrators. Journal of Agricultural Education, 45(3), 22 – 33 https://doi.org/10.5032/jae.2004.03022

National Center for Education Statistics. (2005). NAEP state comparisons – data table. Retrieved from http://nces.ed.gov/nationsreportcard/statecomparisons/withinyear.aspx?usrSelections=1%2cSCI%2c0%2c2%2cwithin%2c0%2c0

National Center for Education Statistics. (2025). The condition of education 2025 (NCES 2025-144). U.S. Department of Education. https://nces.ed.gov/programs/coe/

National Commission on Excellence in Education. (1983). A nation at risk: The imperative for educational reform. Washington, DC: Government Printing Office.

Provasnik, S., Gonzales, P., & Miller, D. (2009). U.S. performance across international assessments of student achievement: Special supplement to the condition of education 2009. NCES 2009–083: National Center for Education Statistics.

Raab, R. R. (2018). A statistic’s five years: A story of teacher attrition. Qualitative Inquiry, 24(8), 583–591. https://doi.org/10.1177/1077800417729849

Redman, E. F., & Larson, K. L. (2011). Educating for sustainability: Competencies & practices for transformative action. Journal of Sustainability Education, 2(1), 1–20.

Robinson, J.S., & Baker, M.A. (2013). The effect of human capital on principals’ decisions to interview candidates in agricultural education: Implications for pre-service teachers. Journal of Agricultural Education, 54(1), 139-152. https://doi.org/10.5032/jae.2013.01139

Salovey, P., & Sluyter, D. J. (1997). Emotional development and emotional intelligence: Educational implications. Basic Books.

Schultz, T. W. (1961). Investment in human capital. The American economic review, 51(1), 1-17. http://links.jstor.org/sici?sici=00028282%28196103%2951%3A1%3C1%3AIIHC%3E2.0.CO%3B2-4

Sipos Y, Battisti B, Grimm K (2008), Achieving transformative sustainability learning: Engaging head, hands and heart. International Journal of Sustainability in Higher Education, 9(1) 68–86, https://doi.org/10.1108/14676370810842193

Smith, C. (2017). Standardized reporting of statistical results in APA format. AJARR Publications.

Smylie, M. A. (1996). From bureaucratic control to building human capital: The importance of teaching learning in education reform. Educational Researcher, 25(9), 9–11. https://doi.org/10.3102/0013189X025009009

Stedman, N.L.P., & Andenoro, A.C. (2007). Identification of relationships between emotional intelligence skill & critical thinking disposition in undergraduate leadership students. Journal of Leadership Education, 6(1), 190-208. https://doi.org/10.12806/v6/i1/rf10

Strickland, L.R. (2008). Relationship between emotional intelligence and leadership style of leaders in Florida agriculture. University of Florida, Gainesville, Florida.

Sutcher, L., Darling-Hammond, L., & Carver-Thomas, D. (2025). Teacher shortages and turnover in the United States: 2025 update. Learning Policy Institute.

Sutton, R. E., & Wheatley, K. F. (2003). Teachers’ emotions and teaching: A review of literature and direction for future research. Educational Psychology Review, 15, 327-358. https://doi.org/10.1023/A:1026131715856

Taylor, R. D., Oberle, E., Durlak, J. A., & Weissberg, R. P. (2017). Promoting positive youth development through school-based social and emotional learning interventions: A meta-analysis of follow-up effects. Child Development, 88(4), 1156–1171. https://doi.org/10.1111/cdev.12864

U.S. Department of Agriculture, Economic Research Service. (2022). Farm labor and agricultural productivity. https://www.ers.usda.gov/topics/farm-economy/farm-labor/

Downloads

Published

09/18/2026

How to Cite

Frost, C., Haynes, J. C., Andrew, C., Atchley, W., & Pulley, J. (2026). A Measure of Emotional Intelligence in Texas School-Based Agricultural Educators. Journal of Agricultural Education, 67(3), Article 23. https://doi.org/10.5032/jae.v67i3.3373

Issue

Section

Journal of Agricultural Education

Most read articles by the same author(s)

1 2 > >>